Web Scraping With Beautifulsoup And Requests

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Web Scraping with Python: BeautifulSoup, Requests & Selenium. With the help of this course you can Web Scraping and Crawling with Python: Beautiful Soup, Requests & Selenium.

BeautifulSoup is open-source and completely free to use the library, makes it easy to scrape information from web pages. It sits at the top of an HTML or XML parser, providing Pythonic idioms for.

See full list on digitalocean.com. Mar 20, 2019 The Requests library allows you to make use of HTTP within your Python programs in a human readable way, and the Beautiful Soup module is designed to get web scraping done quickly. We will import both Requests and Beautiful Soup with the import statement.

This course was created by GoTrained Academy & Waqar Ahmed. It was rated 4.4 out of 5 by approx 5758 ratings. There are approx 77080 users enrolled with this course, so don’t wait to download yours now. This course also includes 8 hours on-demand video, 8 Articles, 19 Supplemental Resources, 1 Coding exercise, Full lifetime access, Access on mobile and TV, Assignments & Certificate of Completion.

Web Scraping With Beautifulsoup And Requests

What Will You Learn?

  • Python Refresher: Review of Data Structures, Conditionals, File Handling

  • How Websites are Hosted on Servers; Basic Calls to Server (GET, POST Methods)

  • Web Scraping with Python Beautiful Soup and Requests

  • Using Selenium to handle JavaScript and AJAX

  • Diverse Web Scraping Exercises

  • Source codes (*.py files) for all Exercises can be downloaded

  • Q&A board to send your questions and get them answered quickly

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 Scraping With Python Beautifulsoup Requests & Selenium Free Download

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