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Web Scraping with Python: BeautifulSoup, Requests & Selenium - learn Python

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Link to this course(special discount)
Web Scraping with Python: BeautifulSoup, Requests & Selenium - learn Python
What you will learn in this course ?
What you'll learnPython Refresher: Review of Data Structures, Conditionals, File HandlingHow Websites are Hosted on Servers; Basic Calls to Server (GET, POST Methods)Web Scraping with Python Beautiful Soup and RequestsUsing Selenium to handle JavaScript and AJAXDiverse Web Scraping ExercisesSource codes (
.py files) for all Exercises can be downloadedQ&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 serversCalls to the server (GET, POST methods)Review of HTML and CSSRequests Module and BeautifulSoup Module overviewParsing HTML using BeautifulSoupFiltering elements using BeautifulSoup and navigating the Parse TreeJavaScript and AJAX overviewSelenium and the need for itSelecting elements using Selenium CSS selectors XPath selectors Navigating pages using Selenium Practical Projects
this is the best Python course. you can download and watch for free after enroll.
Web Scraping with Python: BeautifulSoup, Requests & Selenium - learn Python
What you will learn in this course ?
What you'll learnPython Refresher: Review of Data Structures, Conditionals, File HandlingHow Websites are Hosted on Servers; Basic Calls to Server (GET, POST Methods)Web Scraping with Python Beautiful Soup and RequestsUsing Selenium to handle JavaScript and AJAXDiverse Web Scraping ExercisesSource codes (
.py files) for all Exercises can be downloadedQ&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 serversCalls to the server (GET, POST methods)Review of HTML and CSSRequests Module and BeautifulSoup Module overviewParsing HTML using BeautifulSoupFiltering elements using BeautifulSoup and navigating the Parse TreeJavaScript and AJAX overviewSelenium and the need for itSelecting elements using Selenium CSS selectors XPath selectors Navigating pages using Selenium Practical Projects
this is the best Python course. you can download and watch for free after enroll.