Best Web Scraping Courses

Find the best online Web Scraping Courses for you. The courses are sorted based on popularity and user ratings. We do not allow paid placements in any of our rankings. We also have a separate page listing only the Free Web Scraping Courses.

The Complete Python 3 Course: Beginner to Advanced!

Learn Python with projects covering game & web development, web scraping, MongoDB, Django, PyQt, and data visualization!

Created by Joseph Delgadillo - Best-Selling Instructor

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Students: 561571, Price: $129.99

Students: 561571, Price:  Paid

If you want to get started programming in Python, you are going to LOVE this course! This course is designed to fully immerse you in the Python language, so it is great for both beginners and veteran programmers! Learn Python as Nick takes you through the basics of programming, advanced Python concepts, coding a calculator, essential modules, creating a "Final Fantasy-esque" RPG battle script, web scraping, PyMongo, WebPy development, Django web framework, GUI programming, data visualization, machine learning, and much more!

We are grateful for the great feedback we have received!

"This course it great. Easy to follow and the examples show how powerful python can be for the beginner all the way to the advanced. Even if the RPG may not be your cup of tea it shows you the power of classes, for loops, and others!"

"Good course even for non-programmers too."

"It's really well explained, clear. Not too slow, not too fast."

"Very thorough, quick pace. I'm learning A TON! Thank you :)"

"Good explanation, nice and easy to understand. Great audio and video quality. I have been trying to get into Python programming for some time; still a long way to go, but so far so good!"

The following topics are covered in this course:

  • Programming Basics

  • Python Fundamentals

  • JavaScript Object Notation (JSON)

  • Web Scraping

  • PyMongo (MongoDB)

  • Web Development

  • Django Web Framework

  • Graphical User Interface (GUI) Programming (PyQt)

  • Data Visualization

  • Machine Learning

This course is fully subtitled in English!

Thank you for taking the time to read this and we hope to see you in the course!

30 Days of Python | Unlock your Python Potential

Python is simple enough for beginners, powerful enough for the pros. Use it for IOT, Web Scraping, Big Data, and more.

Created by Justin Mitchel - Coding Entrepreneur & Teacher - 568,000+ Students

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Students: 194870, Price: $124.99

Students: 194870, Price:  Paid

In early 2016, Python passed Java as the #1 beginners language in the world. Why? It's because it's simple enough for beginners yet advanced enough for the pros. 

SpaceX uses it to launch Rockets

Pixar uses Python to run their animation software

InstagramPinterest use it to run their web application (backend via Django)

Come learn with me and I'll show you how you can bend Python to your will. This course is great for beginners in Python at any age and any level of computer literacy.

The goal is simple: learn Python by building real projects step-by-step while we explain every concept along the way.  For the next 30 Days you're going to learn how to:

  • Scrape Data from nearly Any Website (including javascript-enabled sites)
  • Build your own Python applications for all types of automation
  • Send Emails & SMS text messages to your friends our your customers
  • Read & Write CSV, aka comma separated values, files to better store your data locally and work in popular programs like Microsoft Excel and Apple Numbers
  • Understand the basics behind the Python programming language so you're ready to build more advanced projects like Web Applications

Learn Web Scraping with Python from Scratch

Python Web Scraping Tutorial. Use BeautifulSoup & Requests to scrape & crawl Craigslist directory with Python

Created by GoTrained Academy - eLearning Professionals

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Students: 43313, Price: Free

Students: 43313, Price:  Free

Q. Do you want to extract data from a specific website but it takes a lot of time doing so manually?

A. Web Scraping is the process of automating data extraction from websites.

Q. Do you see many Web Scraping jobs, but you do not feel confident enough to apply?

A. This Web Scraping tutorial will teach you how web scrape a real-life project from a to z.

When the webpage structure is so complicated, making it difficult to extract specific pieces of data, or when you need to open so many pages to extract data from each of them, the manual process can become boring and time-wasting, and that is when automated Web Scraping can make the process more efficient and effective.

In this Web Scraping tutorial:

  • Grasp Python Web Scraping fundamentals.

  • Use BeautifulSoup & Requests to scrape & crawl Craigslist with Python

  • Learn how to save your scraped output to a CSV / Excel file.

  • Understand the difference between Web Scraping Python libraries and frameworks.

So let's start your Web Scraping real-life project.

Modern Web Scraping with Python

Harness the power of Scrapy, BeautifulSoup and Selenium to boost your webscraping game!

Created by Jordan Sauchuk - Senior AI Advisor & Cybersecurity Engineer

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Students: 32635, Price: $109.99

Students: 32635, Price:  Paid

Getting access to the data you need can make or break you.

This is why Fortune 500 companies like Walmart, CNN, Target, and HSBC use web scraping to get ahead and stay ahead with data.

It’s the original growth tool and one of their best-kept secrets

…And it can easily be yours too.

From data spoofing to legalities, crawling libraries, maintenance, monitoring, more, building a safe and effective web scraper is risky business but it’s a skill every data scientist needs in their toolkit.

Today, we’re building one from scratch.

Hi, my name is Jordan Sauchuk. I’m an AI & Cybersecurity Engineer and a SuperDataScience instructor. I’m here to guide you step-by-step in building custom web scrapers in Python using Selenium, Scrapy and BeautifulSoup.

Welcome to Modern Web Scraping in Python.

At the end of this course, you will understand the most important components of web scraping and be able to build your own web scrapers to obtain new data, optimize internal processes and more.

Plus, familiarize yourself with some of the most common scraping techniques and sharpen your Python programming skills while you’re at it!

  1. First, learn the essentials of web scraping, explore the framework of a website and get your local environment ready to take on scraping challenges with Scrapy, BeautifulSoup, and Selenium.

  2. Next, set up a Scrapy crawler and cover the core details that can be applied to building datasets or mining.

  3. Next, cover the basics of BeautifulSoup, utilize the requests library and LXML parser, and scale up to deploy a new scraping algorithm to scrape top product information from Amazon

  4. Fourth, set up Selenium, and deploy it to solve a practical, real-world challenge. Plus, submit your solution to obtain useful feedback from me.

  5. Finally, test your newfound skills on a cybersecurity project that involves you finding highly-sensitive data.

We’l bel coding in Python, and using the automated testing suite Selenium, the Python framework Scrapy, and library BeautifulSoup to build web scrapers that can be customized to your specific needs.

But a thorough walk-through isn’t all you’re getting.

Access our student forum where you can interact with me and your fellow students. Ask me questions, receive input from other students and be inspired by the clever scraping solutions from your classmates.

Whether you’re a data scientist, machine learning or AI engineer who wants to access more data sources; a web developer looking to automate tasks, or a data buff with a general interested in data science and web scraping…

This course delivers an in-depth presentation of web scraping basics, methodologies and approaches that you can easily apply to your own personal projects, or out there in the real world of business.

Join me now and let’s start scraping the web together. Enroll today.

Supercharged Web Scraping with Asyncio and Python

Learn the fundamentals of asynchronous web scraping & data mining in Python to drastically improve extraction speeds.

Created by Justin Mitchel - Coding Entrepreneur & Teacher - 568,000+ Students

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Students: 30238, Price: $89.99

Students: 30238, Price:  Paid

Web scraping is simply automatically opening up any website and grabbing the data you find important on that website. It's fundamental to the internet, search engines, Data Science, automation, machine learning, and much more.

Opening websites and extracting data are only part of what makes web scraping great. It's the parsing of the data that's where the value is.

This project will cover:

  • Basic web scraping with Python

  • Web scraping with Selenium

  • Sync vs Async

  • Asynchronous Web scraping with Asyncio

But why asynchronous code? What is it? How does it benefit us?

Asynchrounous code is a way to execute multiple functions basically at once. It's not actually at the exact same time but it's close. (They actually run concurrently). This means that we can do more things in less time and, when it comes to mining or scraping data, this time saving is absolutely significant.

Imagine for a moment you're recreating google's search engine. You'd have to scrape trillions (if not more) web pages on a regular interval to help with the search results. Of course you're not going to be scraping all of the trillions of pages at once but the idea is that scraping event 1,000 pages would take a very long time doing it synchronously (like using Python requests and/or just selenium).

If you've done a lot of web scraping before but never used Python's aysncio, this course will help you better understand the fundamentals and bring your scraping game to another level.

Let's get started!

Web Scraping for Data Science – Python & Selenium – Basics

Learn the Fundamentals of XPath and Selenium to Scrape the Data from the Web

Created by Alexander Schlee - Python Developer

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Students: 25432, Price: $29.99

Students: 25432, Price:  Paid

In this Course you will learn the Fundamentals of XPath, Selenium and the Web Scraping Process. We will cover the Fundamentals and afterwards we are going to scrape Data from real Websites. The first Real Life Project will be the extraction of Data from Yelp and the next Project will cover the scraping process of tables. But before we start with this Real Life Projects, you will get familiar to all the basic knowledge which is required to complete it. Whenever you have a question, don't hesitate to ask in the forum section. Either me or the other students will reply to your question as soon as possbile.

After completing this course you will be confident using Selenium for Web Scraping in your personal Projects. Especially for Data Scientists it is important to be able to extract the data they need to analyze and work with. You will get downloadable files so that you can refer to all topics which we have covered through this course. This course will be updated on a reglular basis. My goal is that all my students understand the Concepts of Selenium, XPath and the whole Web Scraping Process. For this course it's good to know the very basics of Python Programming.

Web Scraping for Beginners with : Python | Scrapy| BS4

Learn how to extract data from websites using : Python | Scrapy and BeautifulSoup

Created by Bluelime Learning Solutions - Learning made simple

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Students: 22493, Price: $89.99

Students: 22493, Price:  Paid

Web scraping is  the  process of automatically downloading a web page's data and extracting specific information from it.

The extracted information can be stored in a database or as various file types.

   Basic Scraping Rules:

  •      Always check a website's Terms and Conditions before you scrape it to avoid legal issues.

  •      Do not request data from a website too aggressively (spamming) with your program as this may break the website.

  •     The layout of a website may change from time to time ,so make sure your code adapts to it when it does.

Popular web scraping tools include BeautifulSoup and Scrapy.

BeautifulSoup  is a python library for pulling data (parsing) out of HTML and XML files.

Scrapy is a free open source application framework used for crawling web sites and extracting structured data

which can be used for a variety of things like data mining,research ,information process or historical archival.   

Web scraping software tools may access the World Wide Web directly using the Hypertext Transfer Protocol, or through a web browser. While web scraping can be done manually by a software user, the term typically refers to automated processes implemented using a bot or web crawler. It is a form of copying, in which specific data is gathered and copied from the web, typically into a central local database or spreadsheet, for later retrieval or analysis.

Scraping a web page involves fetching it and extracting from it.  Fetching is the downloading of a page (which a browser does when you view the page).  to fetch pages for later processing. Once fetched, then extraction can take place. The content of a page may be parsed, searched, reformatted, its data copied into a spreadsheet, and so on. Web scrapers typically take something out of a page, to make use of it for another purpose somewhere else. An example would be to find and copy names and phone numbers, or companies and their URLs, to a list (contact scraping).

Web scraping is used for contact scraping, and as a component of applications used for web indexing, web mining and data mining, online price change monitoring and price comparison, product review scraping (to watch the competition), gathering real estate listings, weather data monitoring, website change detection, research, tracking online presence and reputation, web mashup and, web data integration.

Web pages are built using text-based mark-up languages (HTML and XHTML), and frequently contain a wealth of useful data in text form. . A web scraper is an Application Programming Interface (API) to extract data from a web site. Companies like Amazon AWS and Google provide web scraping tools, services and public data available free of cost to end users.

The Complete Python Masterclass: Learn Python From Scratch

Python course for beginners, Learn Python Programming , Python Web Framework Django, Flask, Web scraping and a lot more.

Created by Ashutosh Pawar - Entrepreneur, Python, Java & Android Geek

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Students: 21956, Price: $99.99

Students: 21956, Price:  Paid

The Complete Python Masterclass: Learn Python From Scratch

Here Is What You Get By Enrolling In This Course:

Word-By-Word Explanation: In the entire course, I explain each line of code, without skipping a single line of code.

Awesome Quality Content: Over 37+ hours of HD(1080p) Videos.

Well Structured & Easy To Learn: Course has been specially designed to make it easy for the students to learn Python, Django 3, Data Analysis, Flask, Tkinter, OpenCV, File Compression, Desktop App development with PostgreSQL & Web Scraping.

24 X 7 Support: I
will always be there to guide you in your journey to become Python expert.

_________________________________________________________________________

Here Is Everything You Will Learn In This Complete Course:

In this hands-on course, you will learn Python right starting from scratch to the level where you can build almost anything with it, be it a fully functional database oriented web application or an automation tool.

This course will teach you Python right from scratch from a very basic level and will gradually move you towards more advanced topics.

We not just cover all the Python basics but also the most popular Python libraries such as Django, Flask, Tkinter & Selenium.

The Complete Course is divided into 17 Major sections.

Here is a brief description of what you will learn in each section.

Section 1: Python basics.

This section covers all the basics of Python, starting right from installing the required tools to covering topics like mathematical operators, strings, accepting user input, string operations, variables, conditionals like if, elif, control structures such as while & for loop, functions, modules & packages, lists, file handling, OOP in Python, regular expressions. Almost every basic Python concept is covered in this section.

Section 2: Make GUI In Python Using Tkinter.

Once done with the basics, we know learn the Tkinter library which allows us to create desktop based applications with Python. We learn how to create GUI apps using Tkinter & Python and also build a fully functional Desktop app i.e a calculator.

Section 3: Making Database Oriented Desktop Apps With PostgreSQL.

Making a simple desktop app alone isn't sufficient, it needs a backend database to store some data. To do the same we learn how to connect our desktop apps to the backend. In this section we build a student management system software using Python, Tkinter to design the GUI & PostgreSQL database to store the data for our application in the backend.

Section 4: File Compression & Encoding In Python.

In this section we will learn how to perform file compression in Python to reduce file size. We also learn how to de-compress the compressed data and the methods used for it. We build a GUI based file compression tool using Python & Tkinter and a file compression library.

Section 5: Text To Speech Converter Using Python.

Text could be converted into speech/audio and that is exactly what is being covered in this specific section where we build a tool that generates audio from a given text. Not just that, we also learn how to convert an entire text file into mp3 which can be used to generate audiobooks from ebooks. We also learn how to convert the user input into speech.

Section 6: QR Code Generator.

We build a simple tool that can convert any link and convert it into a QR code that can be scanned via any smartphone that has a QR code reader. This tool creates QR code images that can be shared anywhere and the entire tool is built using Python & Tkinter.

Section 7: Video Downloader App.

In this section we built another tool to build our Python skills. This tool accepts a video URL, asks us to select the path where we want to download the specified video and then downloads that video to the specified path on our operating system. Not just that, this tool will also be able to convert video files into pure mp3 files as well. We build this tool from scratch right from architecting the code to designing the functionality to creating a user interface, all of it done using Python.

Section 8: Building A Credit Card Validator Using Lhun's Algorithm.

In this section we will learn what is Lhun's algorithm and how it is used to validate credit cards. We learn how Lhun's algorithm can be implemented in Python and used to validate credit card numbers. This section is designed to teach algorithmic thinking and implementation in Python.

Section 9: Data Analysis.

Python is being widely used in the data science domain and hence it is important to learn how to use Python to analyse data. Hence in this section we learn how to use the tools and techniques used to perform data analysis. We start off by learning the Pandas library which is used to perform data analysis and all the basic concepts like DataFrames, Reindexing, Indexing, Broadcasting and also learn how to perform data plotting and visualisation with the Matplotlib library.

In this section we also have a data science project which is based on analysing supermarket data to find insightful information which helps take better business decisions. We also learn how to represent data visually using multiple types of charts and bar graphs built using matplotlib.

Section 10: Python Web Framework Django 3.

This section will teach you how to build full-stack web applications with Python & Django 3. Django is one of the most popular web frameworks for Python and is used to program the back-end side of out web app. In this section we will learn Django right from basics and will build a simple book store web application. We will learn how to create models, how to route URL requests, how to create different views for our web app, how to integrate HTML templates and a lot more.

In this section we also build a fully functional todo list application built using Django. This application performs all the basic CRUD operations which stands for Create, Read, Update & Delete data from the database. While building this application, we ensure that all the important concepts of Django are throughly covered and implemented.

Section 11: Python Web Framework Flask.

Flask is a micro web framework for Python used to build simpler web apps. If you want to develop some simple and small websites, you can do so using Flask. In this section we cover flask basics suck as Routing, Dynamic URLs, Templates, passing data to the server & site cookies.

Section 12: REST APIs Using Django Rest Framework.

In this section we learn how to build our own REST APIs using the Django Rest Framework. If you already have a Django web app built, you can create API endpoints for it using the Django Rest Framework. In this section we will build a fully functional REST API with features such as search, filtering & authentication.

Section 13: Web Scraping in Python.

Python can also be used to crawl websites and gather data from it. In this section we learn the same, we build a web crawler which crawls up any website of our choice and gathers links from it. Web crawlers are used by many search engines to rank websites and in this section we learn how to build a smaller version of it using Python.

Section 14: Automation with Python & Selenium.

Python is widely used for automation as well, especially for testing. Selenium web driver is one such tool which has been built for automating tests but the same can be used for automating other browser based tasks as well. In this section we learn how to automate tasks using Selenium and will also build a Facebook Bot that automatically posts status for us.

Section 15: Best Practices: Writing Clean & Efficient Python Code.

To be a good Python engineer/ developer you need to know how to write clean, concise and efficient Python code. In this section we learn some of the best practice that you must follow while writing Python code so.

Section 16: Network Programming In Python Using Sockets: Building A Chat Application.

Networking is an important concept in IT & Computer Science as it facilitates communication between devices or servers. Keeping this in mind, this section covers the basic networking concepts and we learn how to implement them using Python by building a simple desktop based chat application.  In this section we learn what is an IP address, what are ports, sockets and buffers and how they could be used to implement a communication program. We lean how sockets can be used for communication between process on the same and on different devices.

Section 17: Image Processing With Python & OpenCV.

Python can also be used to process and manipulate images and videos. In this section we learn how to use OpenCV library with Python to manipulate images. We learn some interesting things like capturing webcam video, tracking images from a live video, different image thresholding techniques, image blurring, averaging and Gaussian filtering.

_________________________________________________________________________

So let's begin the journey of becoming an expert in Python.

In addition to the Udemy 30-day money back guarantee, you  have my personal guarantee that you will love what you learn in this  course. If you ever have any questions please feel free to message me  directly and I will do my best to get back to you as soon as  possible!

_________________________________________________________________________

Make sure to enrol in the course before the price changes.

Take yourself one step closer towards becoming a professional Python developer by clicking the "take this course button" now!

Join the journey.

Sincerely,

Ashutosh Pawar

Web Scraping in Python using Beautiful Soup (with Project)

Build a Stock Price Extraction Project

Created by Yaswanth Sai Palaghat - Founder of Techie Empire

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Students: 21267, Price: $49.99

Students: 21267, Price:  Paid

Web Scraping or Web Crawling is used to extract the data from Web Pages by parsing through the html elements of the web page. With the help of Web Scraping, you can :

  • Grow your business

  • Collect meaningful data from internet

  • Start your own Data Analytics Company

In this course, you are going to learn how we perform Web Scraping in Python using a popular scraping library called Beautiful Soup (bs4)

Learn the basics of Web Scraping in 60 minutes or less…

Learn to webscrape from an expert in this free fast-track course, giving you all the fundamentals other courses miss!

Created by Allen ONeill - Big Data Architect & Entrepreneur

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Students: 19880, Price: Free

Students: 19880, Price:  Free

Learn to web scrape from an expert - here's proof of the value:

"Finally, an instructor who knows how to teach students so that they are not lost or confused. Thank you!"
"Great course, wish I would have watched it before reading Python Scrapy documentation."
"I loved this course. It's a great introduction to web scraping! It's short, sweet and to the point!"
"Really impressed about theory and strategies to use.. goes beyond my expectation"

Web scraping (also known as scraping, scrapeing, harvesting and data extraction), is both the art & craft of extracting data from websites. Data obtained from web-scraping is used for price comparison, business lead generation, and competitive analysis.

I created this course because I want to improve the quality of web-scraping information available. Most courses assume you know a lot about scraping already, but that's mostly not the case - this course doesn't try to teach you everything, the objective is to give you a solid foundation in the basics so you can start to master the art and craft of web scraping.

It doesn't matter if you use Python, Java, C# or any other language for webscraping, this short course is light on code, and tries to use imagery and animation whenever possible to get the message across. There are various frameworks that are used to assist in web scraping depending on the programming language you use. Some of these scraping libraries these include Scrapy, Beautiful Soup and others in the Python web scraping world, and JSoup and HtmlUnit for Java for example.

If you want to learn web scraping with python or any other language, don't take *any other course* until you take this free one - you'll be glad you did .. trust me, when you do take your next web-scraping course, you'll be in a far stronger position to get the most form it :)

Automate Web Scraping Using Python Scripts and Spiders

Build Scripts and Spiders from scratch to extract data from the internet.

Created by Bluelime Learning Solutions - Learning made simple

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Students: 19399, Price: $49.99

Students: 19399, Price:  Paid

Web scraping is  the  process of automatically downloading a web page's data and extracting specific information from it. The extracted information can be stored in a database or as various file types.

   Basic Scraping Rules:

  •      Always check a website's Terms and Conditions before you scrape it to avoid legal issues.

  •      Do not request data from a website too aggressively (spamming) with your program as this may break the website.

  •     The layout of a website may change from time to time ,so make sure your code adapts to it when it does.

Popular web scraping tools include BeautifulSoup and Scrapy.

BeautifulSoup  is a python library for pulling data (parsing) out of HTML and XML files.

Scrapy is a free open source application framework used for crawling web sites and extracting structured data

which can be used for a variety of things like data mining,research ,information process or historical archival.   

Web scraping software tools may access the World Wide Web directly using the Hypertext Transfer Protocol, or through a web browser. While web scraping can be done manually by a software user, the term typically refers to automated processes implemented using a bot or web crawler. It is a form of copying, in which specific data is gathered and copied from the web, typically into a central local database or spreadsheet, for later retrieval or analysis.

Scraping a web page involves fetching it and extracting from it.  Fetching is the downloading of a page (which a browser does when you view the page).  to fetch pages for later processing. Once fetched, then extraction can take place. The content of a page may be parsed, searched, reformatted, its data copied into a spreadsheet, and so on. Web scrapers typically take something out of a page, to make use of it for another purpose somewhere else. An example would be to find and copy names and phone numbers, or companies and their URLs, to a list (contact scraping).

Web scraping is used for contact scraping, and as a component of applications used for web indexing, web mining and data mining, online price change monitoring and price comparison, product review scraping (to watch the competition), gathering real estate listings, weather data monitoring, website change detection, research, tracking online presence and reputation, web mashup and, web data integration.

Web pages are built using text-based mark-up languages (HTML and XHTML), and frequently contain a wealth of useful data in text form. . A web scraper is an Application Programming Interface (API) to extract data from a web site. Companies like Amazon AWS and Google provide web scraping tools, services and public data available free of cost to end users.

Web scraping in Python with BeautifulSoup by Example

Learn web scraping with Python using BeautifulSoup by building real world practical projects!

Created by Florian Domgjoni - Software Developer, Freelancer and Article Writer

"]

Students: 19283, Price: $19.99

Students: 19283, Price:  Paid

Web Scraping is one of the most important topics in programming and data science.

After I had learned the basics of programming in Python, I was looking to put my skills to practice and I quickly discovered web scraping and I've been hooked ever since. The thought of being able to extract data from all over the web

Web scraping is a tool that's used by many large companies for all kinds of use cases. You can learn web scraping too, I will help you!

Welcome to Web Scraping in Python with BeautifulSoup by Example!

In this course, you're going to learn how to scrape data off some of the most well-known websites which include:

  • IMDB

  • eBay

  • Wikipedia

  • and other websites

This course will be perfect for you if: you are interested to gather data for your machine learning or data science project; you're looking for interesting real world projects to build in Python after learning the basics; automating different tasks for your needs and much more.

After learning the web scraping basics and approaches from this course, you will be able to apply these new-found skills to your own personal projects or to build scrapers for businesses.

Join me on this course and let's get ourselves some data.

Enroll now :) !

Learn Web Scraping with Node.js

Use the Node modules Request and Cheerio to scrape data and display on a web page.

Created by Patrick Schroeder - Software Developer

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Students: 17922, Price: $74.99

Students: 17922, Price:  Paid

In
this course you will learn how to scrape data from web pages using
the Request and Cheerio node modules.
  • We'll
    begin with an overview of how Request works to download pages and
    pipe out data.
  • Next,
    we'll look at the Cheerio and how we can use jQuery-like syntax to
    retrieve elements off a page.
  • Then we'll
    take what you've learned to create 2 sample web apps to scrape and
    display data first to our console then to a web page.

What You Will Learn:

- How to download web pages using Request.

- How to then grab elements from the page using Cheerio

- Display the data on a web page. First, we'll use Express and Swig to display Indeed job search data. Then we'll use Angular to show an image and other details after a user inputs a URL.

Who This Course is For:

- Anyone with an interest in web scraping using Node. This is a beginner level course, so the only requirement is that you already have node.js installed.

Web Scraping APIs for Data Science 2021 | PostgreSQL+Excel

From Beginner to Advanced | 4 Hands-On Projects

Created by Alexander Schlee - Python Developer

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Students: 16525, Price: $29.99

Students: 16525, Price:  Paid

In this course the students will get to know how to scrape data from the API of a website (if available). We start with the fundamentals and the beginner level project. After that, two different projects will be covered, followed by the advanced project. After scraping data of wach project, the results will be stored inside an Excel file. Within the advanced level project we will create two dofferent datasets with 5000 results each. The goal is to merge both dataframes (total: 10000 results), save it in Excel and output the data in the PostgreSQL database and run SQL commands on our own data.

The requirement for this course is basic knowledge of Python Programming. Since we will not cover very difficult Python topics you do not have to be a professional. The most important characteristic is that you are curious about Web Scraping and Data Mining. You should be ready to invest time in gaining the knowledge which is taught in this course.

After this course you will have the knowledge and the experience to scrape your own data and create your own dataset. With the help of the course resources you will always have documents you can refer to. If you have a question or if a concept just does not make sense to you, you can ask your questions anytime inside the Q&A - Forum. Either the instructor or other students will answer your question. Thanks to the community you will never have the feeling to learn alone by yourself.

Modern Web Scraping with Python using Scrapy Splash Selenium

Become an expert in web scraping and web crawling using Python 3, Scrapy, Splash and Selenium 2nd EDITION (2021)

Created by Ahmed Rafik - Developer and Online Instructor

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Students: 16289, Price: $29.99

Students: 16289, Price:  Paid

Web Scraping nowadays has become one of the hottest topics, there are plenty of paid tools out there in the market that don't show you anything how things are done as you will be always limited to their functionalities as a consumer.

In this course you won't be a consumer anymore, i'll teach you how you can build your own scraping tool ( spider ) using Scrapy.

You will learn:

  1. The fundamentals of Web Scraping

  2. How to build a complete spider

  3. The fundamentals of XPath & CSS Selectors

  4. How to locate content/nodes from the DOM using XPath & CSS

  5. How to store the data in JSON, CSV... and even to an external database(MongoDb & SQLite3)

  6. How to write your own custom Pipeline

  7. Fundamentals of Splash

  8. How to scrape Javascript websites using Scrapy Splash & Selenium

  9. The Crawling behavior

  10. How to build a CrawlSpider

  11. How to avoid getting banned while scraping websites

  12. How to build a custom Middleware

  13. Web Scraping best practices

  14. How to scrape APIs

  15. How to use Request Cookies

  16. How to scrape infinite scroll websites

  17. Host spiders in Heroku for free

  18. Run spiders periodically with a custom script

  19. Prevent storing duplicated data

  20. Deploy Splash to Heroku

  21. Write data to Excel files

  22. Login to websites using Scrapy

  23. Download Files & Images using Scrapy

  24. Use Proxies with Scrapy Spider

  25. Use Crawlera with Scrapy & Splash

  26. Use Proxies with CrawlSpider

What makes this course different from the others, and why you should enroll ?

  • First, this is the most updated course. You will be using Python 3.7, Scrapy 1.6 and Splash 3.0

  • You will have an in-depth step by step guide on how to become a professional web scraper.

  • You will learn how to use Splash & Selenium to scrape JavaScript websites and I can assure you, you won't find any tutorials out there that teaches how to really use Splash like I'll be doing in this course.

  • You will learn how to host spiders in Heroku as well as Splash(Exclusive).

  • You will learn how to create a custom script so spiders can run periodically without any intervention from you.

  • 30 days money back guarantee by Udemy

So whether you are a data analyst who wants to add web scraping to his tool set or someone else who wants to learn how to extract unstructured data from unstructured HTML web pages and then store back that data in a structured way to apply some data analysis on it then you are welcome to join this course.

**STUDENTS THOUGHTS ABOUT THIS COURSE **

"I was particularly looking for web scraping using XPATHs and this course is addressing that. It also covers dynamic paging. A proper mix of theory and practical. A must-have for those who wants to do web scraping . GREAT learning experience !!! ". By Hiran Kumar

"90% of what I was searching for!!! Great job!! Clear explanations and great communication with Ahmed". By Raylyson Estanista 

"Admed’s Web scraping course is awesome . His approach using Python with scrapy and splash works well with all websites especially those that make heavy use of JavaScript. Ahmed is a gifted educator: expert communicator, passionate, conscientious and accessible to his students. I highly recommend this course and any of Ahmed Rafik’s Udemy courses. ". By Richard Blackmon

"Great course, and a nice introduction to Scrapy (I'm someone with no Python experience whatsoever).". By I S

"Excellent course. Quick and thorough at the same time. Ahmed is incredibly responsive to the students and often replies to questions within minutes! Highest recommendation." By Robert Nolte

"That course is very good and explanation is crystal clear! The instructor is very supportive in case of questions. Highly recommended." By Shubina Ekaterina

"I like the course. Clear explanations and good comunication with Ahmed. All topics is interesting and full of information. I improved my skils in Scrapy. Author update course content by new videos. It's a big bonus) Explained more advance topics I never see in other courses. Thank you, Ahmed. Waiting for new videos)". By Ruslan Romanenko

Scrapy: Powerful Web Scraping & Crawling with Python

Python Scrapy Tutorial - Learn how to scrape websites and build a powerful web crawler using Scrapy, Splash and Python

Created by GoTrained Academy - eLearning Professionals

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Students: 14611, Price: $89.99

Students: 14611, Price:  Paid

Why this course?

  • Join the most popular course on Web Scraping  with Scrapy, Selenium and Splash.

  • Learn from the a professional instructor, Lazar Telebak, full-time Web Scraping Consultant.

  • Apply real-world examples and practical projects of Web Scraping popular websites.

  • Get the most up-to-date course and the only course with 10+ hours of playable content.

  • Empower your knowledge with an active Q&A board to answer all your questions.

  • 30 days money-back guarantee.

Scrapy is a free and open source web crawling framework, written in Python. Scrapy is useful for web scraping and extracting structured data which can be used for a wide range of useful applications, like data mining, information processing or historical archival. This Python Scrapy tutorial covers the fundamentals of Scrapy.

Web scraping is a technique for gathering data or information on web pages. You could revisit your favorite web site every time it updates for new information, or you could write a web scraper to have it do it for you!

Web crawling is usually the very first step of data research. Whether you are looking to obtain data from a website, track changes on the internet, or use a website API, web crawlers are a great way to get the data you need.

A web crawler, also known as web spider, is an application able to scan the World Wide Web and extract information in an automatic manner. While they have many components, web crawlers fundamentally use a simple process: download the raw data, process and extract it, and, if desired, store the data in a file or database. There are many ways to do this, and many languages you can build your web crawler or spider in.

Before Scrapy, developers have relied upon various software packages for this job using Python such as urllib2 and BeautifulSoup which are widely used. Scrapy is a new Python package that aims at easy, fast, and automated web crawling, which recently gained much popularity.

Scrapy is now widely requested by many employers, for both freelancing and in-house jobs, and that was one important reason for creating this Python Scrapy course, and that was one important reason for creating this Python Scrapy tutorial to help you enhance your skills and earn more income.

In this Scrapy tutorial, you will learn how to install Scrapy. You will also build a basic and advanced spider, and finally learn more about Scrapy architecture. Then you are going to learn about deploying spiders, logging into the websites with Scrapy. We will build a generic web crawler with Scrapy, and we will also integrate Splash and Selenium to work with Scrapy to iterate our pages. We will build an advanced spider with option to iterate our pages with Scrapy, and we will close it out using Close function with Scrapy, and then discuss Scrapy arguments. Finally, in this course, you will learn how to save the output to databases, MySQL and MongoDB. There is a dedicated section for diverse web scraping solved exercises... and updating.

One of the main advantages of Scrapy is that it is built on top of Twisted, an asynchronous networking framework. "Asynchronous" means that you do not have to wait for a request to finish before making another one; you can even achieve that with a high level of performance. Being implemented using a non-blocking (aka asynchronous) code for concurrency, Scrapy is really efficient.

It is worth noting that Scrapy tries not only to solve the content extraction (called scraping), but also the navigation to the relevant pages for the extraction (called crawling). To achieve that, a core concept in the framework is the Spider -- in practice, a Python object with a few special features, for which you write the code and the framework is responsible for triggering it.

Scrapy provides many of the functions required for downloading websites and other content on the internet, making the development process quicker and less programming-intensive. This Python Scrapy tutorial will teach you how to use Scrapy to build web crawlers and web spiders.

Scrapy is the most popular tool for web scraping and crawling written in Python. It is simple and powerful, with lots of features and possible extensions.

Python Scrapy Tutorial Topics:

This Scrapy course starts by covering the fundamentals of using Scrapy, and then concentrates on Scrapy advanced features of creating and automating web crawlers. The main topics of this Python Scrapy tutorial are as follows:

  • What Scrapy is, the differences between Scrapy and other Python-based web scraping libraries such as BeautifulSoup, LXML, Requests, and Selenium, and when it is better to use Scrapy.

  • This tutorial starts by how to create a Scrapy project and and then build a basic Spider to scrape data from a website.

  • Exploring XPath commands and how to use it with Scrapy to extract data.

  • Building a more advanced Scrapy spider to iterate multiple pages of a website and scrape data from each page.

  • Scrapy Architecture: the overall layout of a Scrapy project; what each field represents and how you can use them in your spider code.

  • Web Scraping best practices to avoid getting banned by the websites you are scraping.

  • In this Scrapy tutorial, you will also learn how to deploy a Scrapy web crawler to the Scrapy Cloud platform easily. Scrapy Cloud is a platform from Scrapinghub to run, automate, and manage your web crawlers in the cloud, without the need to set up your own servers.

  • This Scrapy tutorial also covers how to use Scrapy for web scraping authenticated (logged in) user sessions, i.e. on websites that require a username and password before displaying data.

  • This course concentrates mainly on how to create an advanced web crawler with Scrapy. We will cover using Scrapy CrawlSpider which is the most commonly used spider for crawling regular websites, as it provides a convenient mechanism for following links by defining a set of rules. We will also use Link Extractor object which defines how links will be extracted from each crawled page; it allows us to grab all the links on a page, no matter how many of them there are.

  • Furthermore there is a complete section in this Scrapy tutorial to show you how to combine Splash or Selenium with Scrapy to create web crawlers of dynamic web pages. When you cannot fetch data directly from the source, but you need to load the page, fill in a form, click somewhere, scroll down and so on, namely if you are trying to scrape data from a website that has a lot of AJAX calls and JavaScript execution to render webpages, it is good to use Splash or Selenium along with Scrapy.

  • We will also discuss more functions that Scrapy offers after the spider is done with web scraping, and how to edit and use Scrapy parameters.

  • As the main purpose of web scraping is to extract data, you will learn how to write the output to CSV, JSON, and XML files.

  • Finally, you will learn how to store the data extracted by Scrapy into MySQL and MongoDB databases.

Web Scraping with Beautiful Soup for Data Science

From Beginner to Advanced | 3 Hands-On Projects

Created by Alexander Schlee - Python Developer

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Students: 13399, Price: $29.99

Students: 13399, Price:  Paid

In this course you will learn how to extract data from websites. The main tool will be the Beautiful Soup (BS 4) Library. Especially for people who work with data it is important to be able to create own datasets. Often we rely on datasets from someone else. This course should show all data enthusiasts how to scrape and store data in Excel Files.

After covering the basics, this course will focus on 3 different projects. We start with a Beginner Level Project. Afterwards we proceed with an intermediate project and finally we will cover an advanced topic. The requirement for this course is basic knowledge of Python Programming. Since we will not cover very difficult Python topics you do not have to be a professional. The most important characteristic is that you are curious about Web Scraping and Data Mining. You should be ready to invest time in gaining the knowledge which is taught in this course.

After this course you will have the knowledge and the experience to scrape your own data and create your own dataset. With the help of the course resources you will always have documents you can refer to. If you have a question or if a concept just does not make sense to you, you can ask your questions anytime inside the Q&A - Forum. Either the instructor or other students will answer your question. Thanks to the community you will never have the feeling to learn alone by yourself.

Web Scraping with Python Essentials: Scrape Amazon in 5 min.

Learn web scraping with an Amazon Case Study, including practical recommendations and how to proceed, in exactly 1h !!

Created by Tarkan A Guner - Educator / Programmer / Engineer

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Students: 10010, Price: Free

Students: 10010, Price:  Free

If you want to be a creative data scientist, web scraping is an indispensible capability you should learn. In this effort, you should start from understanding and establishing essential skills and tools of web scraping.

Learn them.

Practice a lot with them through solving real-life problems.

This is the way to proceed in a more natural evolution and much more intuitively so that you are able to ask the right questions and come up with solutions.

"Web Scraping with Python 101: Build Scrapy Essential Skills"  is the course aimed at these fundamentals through Scrapy, Python's popular web scraping framework.

This is the starter course of a series to master web-scraping and Scrapy from basic skills to advanced concepts, from deep insights on the tools to the most practical real-life data science example utilizing web scraping on this platform, a depth and perspective unique to this course series that collectively have gathered more than 10000 students in months.

Two remaining questions:

First, who is this course aiming?

This course is for beginners. Not for beginners to programming, but beginners to Web Scraping. Persons who have seen it, thought about learning it, have limited time. Its about showing them how to start, and proceed and that web scraping is not earth science. 

Second, what exactly is in this course?

In this course;

We will start with what is web scraping and why it is important.

We fill define the 3 pillars of webscraping: crawling, scraping and keeping the connection. 

We will run our pillars on a living 'amazon' example.

We will finish with practical recommendations on each pillar and on a guide to how to proceed.

A fully refined course to perfectly fit your busy schedule.

Last but not the least; be sure to watch the course video on this very landing page.

See you in the lectures!

Very Respectfully,

Tarkan Aguner

Master Web Scraping with Python

Tutorial for Beginners

Created by Sats Sehgal - Data minded industry leader

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Students: 9324, Price: Free

Students: 9324, Price:  Free

Web scraping has become a very hot market as organizations are looking for more ways to get access to data. While APIs are the preferred mechanism to get data, sometimes scraping additional data to compliment your existing data set enriches your data set even more. There are multiple ways to scrape data.

This course will walk your though multiple ways to scrape data including:

- Beautiful Soup

- Scrapy

- Selenium

Follow along as each lesson plan also provides access to the code on github.

Web Scraping in Nodejs & JavaScript

Learn web scraping in Nodejs & JavaScript by example projects with real websites! Craiglist, iMDB, AirBnB and more!

Created by Stefan Hyltoft - B.Eng Software Engineer

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Students: 7897, Price: $124.99

Students: 7897, Price:  Paid

In this course you will learn how to scrape a websites, with practical examples on real websites using JavaScript Nodejs Request, Cheerio, NightmareJs and Puppeteer. You will be using the newest JavaScript ES7 syntax with async/await.

You will learn how to scrape a Craigslist website for software engineering jobs, using Nodejs Request and Cheerio. You will be using the newest JavaScript ES7 syntax with async/await.

You will then learn how to scrape more advanced websites that require JavaScript such as iMDB and AirBnB using NighmareJs and Puppeteer.

I'm gong to also show you with a practical real-life website, how you can even avoid wasting time on creating a web scraper in the first place, by reverse engineering websites and finding their hidden API's!

Learn how to avoid being blocked from websites when developing out your scraper, by building out the scraper in a test-driven way with mocked html, rather than hitting the website every time as you're debugging and developing it. You'll also learn what you can do if you're blocked and your alternatives to get your scraper up and running regardless!

You will also learn how to scrape on a server with a bad connection, or even if you have a bad connection.

You'll even learn how to save your results to a CSV file and MongoDB!

How do you build a scraper that scrapes every 1 hour (or other interval), and deploy it do a cloud host like Heroku or Google Cloud? Let me show you, quick and easy!

How do you scrape a site requiring passwords? I'm going to show you that too with a real website (Craigslist)!

How do you serve your scraping results in a REST API with Nodejs Express? And how can we build a React frontend that's showing the results? You'll learn that too, in the quickest and simplest way possible!

Plus, a section covering how to make a basic GraphQL API is included in the course.

As a last cherry on the top, I have a section containing a secret backdoor showing you how to scrape Facebook using only Request!

If you have issues regarding a site you're trying to scrape yourself, it's totally okay to reach out to me for some help. I'd be happy to point you in the right direction! Whatever issues my students are facing, I use that to expand on my course!

Web Scraping In Python: Master The Fundamentals

Master web scraping with Python

Created by Maximilian Schallwig - Data Scientist

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Students: 6878, Price: $109.99

Students: 6878, Price:  Paid

Web scraping is the art of picking out data from a website by looking at the HTML code and identifying patterns that can be used to identify your data. This data can then be gathered and later used for your own analysis.

In this course we will go over the basic of web scraping and crawling, learning all about how we can extract data from websites, and all of this is guided along by a work example.

At the end of the course you should be able to go off on your own, and pick out most common websites, and be able to extract all the relevant data you may need just through using Python code.

Web Scraping and API Fundamentals in Python 2021

Learn Web Scraping with Beautiful Soup and requests-html; harness APIs whenever available; automate data collection!

Created by 365 Careers - Creating opportunities for Business & Finance students

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Students: 6536, Price: $89.99

Students: 6536, Price:  Paid

Are you tired of manually copying and pasting values in a spreadsheet?

Do you want to learn how to obtain interesting, real-time and even rare information from the internet with a simple script?

Are you eager to acquire a valuable skill to stay ahead of the competition in this data-driven world?

If the answer is yes, then you have come to the right place at the right time!

Welcome to Web Scraping and API Fundamentals in Python!

The definitive course on data collection!

Web Scraping is a technique for obtaining information from web pages or other sources of data, such as APIs, through the use of intelligent automated programs. Web Scraping allows us to gather data from potentially hundreds or thousands of pages with a few lines of code.

From reporting to data science, automating extracting data from the web avoids repetitive work. For example, if you have worked in a serious organization, you certainly know that reporting is a recurring topic. There are daily, weekly, monthly, quarterly, and yearly reports. Whether they aim to organize the website data, transactional data, customer data, or even more easy-going information like the weather forecast – reports are indispensable in the current world. And while sometimes it is the intern’s job to take care of that, very few tasks are more cost-saving than the automation of reports.

When it comes to data science – more and more data comes from external sources, like webpages, downloadable files, and APIs. Knowing how to extract and structure that data quickly is an essential skill that will set you apart in the job market.

Yes, it is time to up your game and learn how you can automate the use of APIs and the extraction of useful info from websites.

In the first part of the course, we start with APIs. APIs are specifically designed to provide data to developers, so they are the first place to check when searching for data. We will learn about GET requests, POST requests and the JSON format.

These concepts are all explored through interesting examples and in a straight-to-the-point manner.

Sometimes, however, the information may not be available through the use of an API, but it is contained on a webpage. What can we do in this scenario? Visit the page and write down the data manually?

Please don’t ever do that!

We will learn how to leverage powerful libraries such as ‘Beautiful Soup’ and ‘requests HTML’ to scrape any website out there, no matter what combination of languages are used – HTML, JavaScript, and CSS.

Certainly, in order to scrape, you’ll need to know a thing or two about web development. That’s why we have also included an optional section that covers the basics of HTML. Consider that a bonus to all the knowledge you will acquire!

We will also explore several scraping projects. We will obtain and structure data about movies from a “Rotten Tomatoes” rank list, examining each step of the process in detail. This will help you develop a feel for what scraping is like in the real world.

We’ll also tackle how to scrape data from many webpages at once, an all-to-common need when it comes to data extraction.

And then it will be your turn to practice what you’ve learned with several projects we'll set out for you.

But there’s even more!

Web Scraping may not always go as planned (after all, that’s why you will be taking this course). Different websites are built in different ways and often our bots may be obstructed. Because of this, we will make an extra effort to explore common roadblocks that you may encounter while scraping and present you with ways to circumnavigate or deal with those problems. These include request headers and cookies, log-in systems and JavaScript generated content.

Don’t worry if you are familiar with few or none of these terms… We will start from the basics and build our way to proficiency. Moreover, we are firm believers that practice makes perfect, so this course is not so much on the theory side of things, as it adopts more of a hands-on approach. What’s more, it contains plenty of homework exercises, downloadable files and notebooks, as well as quiz questions and course notes.

We, the 365 Data Science Team are committed to providing only the highest quality content to you – our students. And while we love creating our content in-house, this time we’ve decided to team up with a true industry expert - Andrew Treadway. Andrew is a Senior Data Scientist for the New York Life Insurance Company. He holds a Master’s degree in Computer Science with Machine learning from the Georgia Institute of Technology and is an outstanding professional with more than 7 years of experience in data-related Python programming. He’s also the author of the ‘yahoo_fin’ package, widely used for scraping historical stock price data from Yahoo.

As with all of our courses, you have a 30-day money-back guarantee, if at some point you decide that the training isn’t the best fit for you. So… you’ve got nothing to lose – and everything to gain ?

So, what are you waiting for?

Click the ‘Buy now’ button and let’s start collecting data together!

Web Scraping with Python: BeautifulSoup, Requests & Selenium

Web Scraping and Crawling with Python: Beautiful Soup, Requests & Selenium

Created by GoTrained Academy - eLearning Professionals

"]

Students: 5894, Price: $99.99

Students: 5894, Price:  Paid

Web Scraping (also termed Screen Scraping, Web Data Extraction, Web Harvesting, etc.) is a technique for extracting large amounts of data from websites  and save the the extracted data to a local file or to a database.

In this course, you will learn how to perform web scraping using Python 3 and the Beautiful Soup, a free open-source library written in Python for parsing HTML.

We will use lxml, which is an extensive library for parsing XML and HTML documents very quickly; it can even handle messed up tags. We will also be using the Requests module instead of the already built-in urllib2 module due to improvements in speed and readability.

Finally, we will use Selenium alongside Beautiful Soup to crawl AJAX & JavaScript driven pages.

The course cover the following topics: accessing web pages programmatically; scraping web pages to extract the required data using Beautiful Soup to parse web pages; interacting with web pages to do different things with them programmatically; and using Selenium for web scraping and when we need it.

By the end of this course, you will be able to understand how websites and servers function, diverse data extraction techniques, and methods of handling and organizing data.

This Web Scraping course covers the following topics:

  • Review of data structures (Lists, Dictionaries, Tuples, File Handling)
  • How websites are hosted on servers
  • Calls to the server (GET, POST methods)
  • Review of HTML and CSS
  • Requests Module and BeautifulSoup Module overview
  • Parsing HTML using BeautifulSoup
  • Filtering elements using BeautifulSoup and navigating the Parse Tree
  • JavaScript and AJAX overview
  • Selenium and the need for it
  • Selecting elements using Selenium 
  • CSS selectors 
  • XPath selectors 
  • Navigating pages using Selenium 
  • Practical Projects

Web API & Web Scraping with Python, requests, Beautiful Soup

Learn about HTTP GET/POST request + scraping website using python, Beautiful Soup : (2 API + 1 Web Scraping) Case Study

Created by Ankit Mistry - Software Developer | I want to Improve your life & Income.

"]

Students: 5054, Price: $19.99

Students: 5054, Price:  Paid

Hi everyone,

Are you bored of manually collecting all those data from different different website.

Do you want to learn how you can make complete flow automatically

Do you want to know how how you can extract the data which Web API and with web scraping

Do you want to learn about Python library beautiful soap and requests to scrap data from website

If you want to learn about above stuff you are under right place.

Welcome to Web API and Web scraping course with Python request and beautiful soap library.

In this course we will start with

  • Fundamentals of web scraping

  • What is Web API

  • Your local installation setup with anaconda distribution

  • We will get started with Jupyter notebook

  • Web scraping cannot be learned without knowledge of HTML so I have added scores on HTML for those of you who just want to refresh the concept

  • Complete section will be dedicated to Web API.

    In this section we will learn about how Web API works

    With different Web API like countries API and Pastebin API, we will learn how to send get and post request with requests library

  • In this section we will learn about complete web scraping

    We will see how to scrap hacker news website with the help of beautiful soap and request library

In this course there is a less theory and more I'll be focusing upon the practical aspect of sending get and post request, scrapping website.

So there will be a real hands on across the full course.

So what are you waiting for just hit Enroll now button and start collecting data in a completely automated way.

Regards

Ankit Mistry

Web scraping – zero to pro! (scrape & display on a website)

Python & Beautiful Soup (back end) with Flask & Bootstrap. Re-create the 8 million covid site and more mini projects!

Created by Ruth Benjamin-Marvin - Teacher and Creator/Founder of TTIO,TYP and TC (see Bio)

"]

Students: 4114, Price: $19.99

Students: 4114, Price:  Paid

In this amazing four part series you will go from absolute zero to setting up a flask server to run websites from (we'll be using Bootstrap to display your beautiful web scrapings on!) and set up the back end with Flask, Beautiful Soup, lXML and requests to ready to start coding in Python for some web scraping. Most tutorials cover the back end but not displaying scraped data on a website. This is full stack, completely awesome and in four lessons you WILL want to share this series! During the series you learn the basics by scraping simple quote sites, Wikipedia and even re-create the essence of the $8 million covid-tracking website that was set up by seventeen year old Avi Shiffman. Lots to learn and everything is done in a truly engaging, student and beginner-friendly way. This is one course you won't regret enrolling in! All the best and enjoy! Based on some feedback, I should note this is not an advanced, super complex series but something that will give you a perfectly solid foundational understanding and structure for the future. Do check out the advanced web scraping (follow-on from this series) which takes you through scraping dynamic data, displaying it on a chart and more...

Advanced Web Scraping with Python using Scrapy & Splash

The most advanced web scraping & crawling course using Scrapy & Splash! Take your web scraping skills to the next level.

Created by Ahmed Rafik - Developer and Online Instructor

"]

Students: 3916, Price: $24.99

Students: 3916, Price:  Paid

Hi there & welcome to the most advanced online resource on Web Scraping with Python using Scrapy & Splash. This course is fully project-based means pretty much on each section we gonna scrape a different website & tackle a different web scraping dilemma also rather than focusing on the basics of Scrapy & Splash we gonna dive straight forward into real-world projects, this also means that this course is absolutely not suitable for beginners with no background on web scraping, Scrapy, Splash & XPath expressions.

---This courses covers a variety of topics such as:---

  1. Requests chaining, like how the requests must be sent in a certain order otherwise they won't be fulfilled at all.

  2. How to analyze a website before scraping it, this is an important step to do since it helps a lot in choosing the right tools to scrape a website & it literally has a huge impact on the performance of your final product.

  3. How to optimize Splash scripts by reducing/aborting all the unnecessary requests that have nothing to do with the data points you're going to scrape, this is an important thing to do if you care about the performance of Splash as it is the key to bypass 504 Gateway Timeout HTTP errors in Splash.

  4. We gonna also cover how to build a Cluster of Splash instances with a load balancer(HAProxy) rather than having one fully overloaded Splash instance this also helps in bypassing 504 Gateway Timeout errors.

  5. Heavy data processing, you'll understand how Input & Output processors work so you'll be able to use them in order to clean the scraped data points as this will ensure the quality of your feeds.

  6. We'll use ScrapyRT (Scrapy RealTime) to build spiders that can fetch data in real-time.

  7. Showcase the scraped data points in a minimalist web app using ScrapyRT & Flask, this is extremely helpful for web scraping freelancers.

  8. Bypass Google ReCaptcha, please don't get me wrong on this point, I don't mean that we will solve it using Scrapy, instead, I'm gonna show you a technique that I use frequently to fool websites and let them think that the request is sent using a browser & was performed by a human being!

  9. Build clean & well-structured spiders

  10. Finally, we gonna build a Desktop app using Tkinter, the app will fetch & execute all the available spiders in your Scrapy project, you can also choose the feed type, feed location & name, this is also extremely helpful & important if you're a web scraping freelancer, it is always a good idea to deliver to your client a desktop app rather than installing Scrapy on his machine & stuff like that.

This course is straight to the point, there's no "foobar" or "quotes to toscrape dot com" as other courses do so make sure you have a good level of focus & lot of determination & motivation.

By the end of this course, you'll sharpen your skills in web scraping using Scrapy & Splash, you'll be able to write clean & high performing spiders that differentiate you from others, this also means if you're a web scraping freelancer you'll get more offers since you can deliver "User-Friendly" spiders with a Graphical User Interface(GUI) or web apps that fetch data in real-time.

So join me on this course & let's harvest the web together!

Learn Web Scraping with NodeJs in 2021 – The Crash Course

Learn and be great at Web Scraping with NodeJs and tools like: Puppeteer by Google, Request, Cheerio, NightmareJs.

Created by Grohs Fabian - Full Stack Developer, Data Miner and Automator

"]

Students: 2662, Price: $99.99

Students: 2662, Price:  Paid

Get into the world of Web Scraping and Data Mining with NodeJs. Learn modern methods of scraping with NodeJs - Puppeteer and with direct NodeJs Requests.

Introduce yourself and improve your knowledge on Scraping

  • Learn Scraping with Puppeteer, NightmareJs or Manual Requests

  • Build scraper modules for various websites ( Imdb, twitter, instagram..etc )

  • Learn multiple ways of scraping and when to choose them

  • Get familiar with the ethics, do's and dont's of Scraping

Enjoy coding and learning Web Scraping with real world examples and real world problem solving while building scrapers with NodeJs.

Web Scraping is a very gray area and not many talk about it or even teach about this. You are going to find valuable scraping informations and techniques that you can directly put to practice for yourself.

I've been working with Data Mining with NodeJs for more than 2 years on dozens of websites and I've learned many ways of creating a scraper and the best practices. All of which you are going to find out and learn in just a few hours in this course.

Overview

I designed this Web Scraping Crash Course to be easily understood by absolute beginners and people who already have some knowledge about the subject. 

Complete crash course with all files and code samples, you’ll be able to work alongside with me as we work through each concept and scraper module.

This is not some random tutorial that you usually find on the internet with extremely simple examples. I am showing you everything that you need to think about when starting to build a scraper with NodeJs, while building, problem solving techniques and all you need to know  that by the end of the course to be confident and create one for yourself.

Web Scraping 101 with Python3 using REQUESTS, LXML & SPLASH

Web Scraping for absolute beginners with Python using Requests, the powerful LXML and Splash for JavaScript websites

Created by Ahmed Rafik - Developer and Online Instructor

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Students: 2597, Price: $19.99

Students: 2597, Price:  Paid

What is web scraping ?

Let's say your boss at work gave you a task where he wants you to extract about 1000 product from a website, structure the data and save it to a database, would you copy paste manually all the product details from the product name, url and price ? I can imagine you would work days and nights and you wont finish the task, so this is where web scraping shines. So web scraping, or web harvesting or web data extraction is like writing a script that will automate data extraction from websites in a matter of minutes !.

Why learn Web Scraping ?

Whether you're a data analyst, a web developer or even someone who wants to work as a freelancer you should learn web scraping. 

For a data analyst building a dataset is extremely important, so without web scraping you simply can't generate it in addition to that adding web scraping in your resume is a plus for you.

Web scraping can be used in a variety of fields, so let me give you some examples on what you can do with it:

  1. Generate leads,

  2. Drop shipping where basically you gonna constantly scrape products from different online stores and show case them on your website to make money,

  3. Monitor products prices to get the best deals,

  4. automation,

  5. Machine learning,

  6. Web scraping freelancer

Of course there are tons and tons and variety of fields where web scraping can be extremely beneficial.

Is this course the right one for you ?

I've carefully planned and designed this course to be beginner friendly, from my experience I know those who do web scraping are mostly data analyst with no background knowledge on how the web works, how requests are made, how to locate and parse the data from the web and much much more, in addition to that this the most updated course regarding the material included and the tools used, so in this course

  1. I'll introduce to you the most used web scraping tools/frameworks

  2. We will setup the development environment from scratch

  3. You will learn and understand LXML core fundamentals

  4. How to use XPath & CSS selectors to select the data from a web page

  5. How the web works (Request/Response)

  6. How to scrape simple HTML web pages

  7. How to scrape multiple web pages

  8. Extract data from APIs

  9. You will learn Splash(crash course) so you can use it to scrape JavaScript websites

  10. Authentication/Login

  11. Store the extracted data whether to JSON/CSV files or MongoDb/SQLite3

  12. Exclusive tips and tricks regarding web scraping

Finally this course is project based, each section starting from the 2nd one we will experiment with a different website, each project has a certain degree of difficulty  and each one is completely independent from other projects. 

Is there is any assignments/exercises included in this course ? 

Yes, each section has an assignment included to it, this will help to get your hands dirty and by the end of each section after doing the assignment included you will feel more confident and comfortable with web scraping.

Why LXML and not BeautifulSoup ?

LXML is a lightweight HTML parser even the most popular web scraping framework (Scrapy) is built on the top of LXML, BeautifulSoup is a little bit overloaded with the number of functions exposed to us, it has more functions to use, yes that's right ! however in Web Scraping most of the time we use XPath and CSS Selectors to navigate and select what to scrape from the HTML web page (tree) so there is no need to learn about new functions and wasting all that time to familiarize yourself with the BeautifulSoup API and the internal architecture, in addition to all of that LXML in terms of performance is way better than BeautifulSoup.

Who is your instructor ? 

Hi! I'm Ahmed nice to meet you, my students prefer to call me web scraping Ninja and currently I have taught more than 2000 students around the world how to do web scraping. I personally do web scraping on daily basis whether for fun, for personal projects or as a freelancer and guess what ? I even have a master degree in computer science.

Should I enroll to this course ?

Honestly, by enrolling to this course you have nothing to lose, because if this course didn't meet your requirements, you can always ask for a refund in less than 30 days from the day you enrolled to the course guaranteed by Udemy with NO QUESTION TO ASK !

SO IF YOU DON'T KNOW ANYTHING ABOUT WEB SCRAPING & YOU DON'T KNOW WHERE TO START  ENROLL NOW ! :)

Python Web Scraping using Bs4, Requests, Multiprocessing

Modern parsing of sites in Python using advanced technologies. You will learn how to work with HTTP requests.

Created by Никита Хохлов - Python разработчик

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Students: 1899, Price: $34.99

Students: 1899, Price:  Paid

We will learn to:
- work with requests
- extract the necessary data from the page
- consider GET, POST requests
- consider headers, data arguments
- learn how to create a session to save cookies
- learn to simulate user actions
- learn how to log in to sites, download and send files
- study the architecture client/server
- we will look at the principle of the http protocol
- we will learn how to parse all the pages of the site
- we will learn how to find the values ​​we need on the website
- we will look at multiprocessor programs, to speed up the work of the software
- we will learn to replace the user-agent and simulate another device and browser
- we will consider all the basics bs4

Will we do it?
- write a program to extract the user's IP
- write a program to download files from the site
- learn to bypass all the pages of the site and replace the user-agent
- write a program using multiprocessing
- write a program using bs4

Why this particular course?
- the material is aimed at any level of knowledge of Python (suitable for a beginner and p professional)|
- the course does not contain water and provides only the necessary information
- after this course you will be able to fully work with the studied libraries
- simple presentation of the material
- contains real examples and tasks
- relevant information
- we consider all the listed libraries in one course at a minimal cost

You will learn how to work with HTTP requests.
After completing this course you will be able to develop parsers, creators, various bots to automate actions in the browser and simulate all actions that a person can perform using a browser and certain sites. Services of parsing and automation of web resources are very often found on freelance, so you can recoup this knowledge almost immediately after passing the course.

Professional Web Scraping with Java

Learn how to scrape data from any static or dynamic / AJAX web page using Java in a short and concise way.

Created by Patrick Meier - Entrepreneur, Software Developer

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Students: 1310, Price: $74.99

Students: 1310, Price:  Paid

In this short and concise course you will learn everything to get started with web scraping using Java. 

You will learn the concepts behind web scraping that you can apply to practically any web page (static AND dynamic / AJAX).

Course structure

We start with an overview of what web scraping is and what you can do with it. 

Then we explain the difference in scraping static pages vs dynamic / AJAX pages. You learn how to classify a website in one of the two categories and then apply the right concept in order to scrape the data you want.

Now you will learn how to export the scraped data either as CSV or JSON. These are some popular formats that can be used for further processing.

Unfortunately many websites try to block scrapers or sometimes you just do not want to be detected. In the section going undercover you will learn how to stay undetected and avoid getting blocked.

At the end of the course you can download the full source code of all the lectures and we discuss an outlook to some advanced topics (private proxies, cloud deployment, multi threading ...). Those advanced topics are covered in a follow up course I am going to teach.

Why you should take this course

Stop imagining you can scrape data from websites and use the skills for your next web project, you can do it now.

  • Stay ahead of your competition
  • Be more efficient and automate tedious, manual tasks
  • Increase your value by adding web scraping to your skill set

Enroll now!