Summary of Learn Web Scraping With Python: Full Project - HTML, Save to CSV, Pagination

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00:00:00 - 00:35:00

This video demonstrates how to use Python to scrape web pages and save the data to a CSV file. The video goes over how to create a function to retrieve data from a web page and how to use the CSV module to save the data.

  • 00:00:00 This video teaches how to scrape data from a website using Python. The first thing the video does is introduce the concept of a session object, which allows for reuse of an underlying TCP connection to the same website. Next, the video goes over how to scrape data from each page of a website using the GET method of the request object's r method. If the result of the GET method does not appear in the view source of the terminal, it means the method cannot be used to extract data from the page. If the results do appear in the view source, the video covers how to use the inspect element tool in order to look at the DOM of the page.
  • 00:05:00 In this video, a Python script is demonstrated that can be used to scrape the HTML of a given webpage and save the data to a CSV file. The video first demonstrates how to find the unordered list class on the webpage and then goes on to demonstrate how to search for and find individual list items within the class. Finally, the video demonstrates how to extract the href attribute from each list item and save the data to a CSV file.
  • 00:10:00 The video demonstrates how to use Python to scrape web pages and save the data to a CSV file. The video also shows how to create a function to retrieve a specific link from a page.
  • 00:15:00 This video demonstrates how to use Python to scrape web pages and save the data to a CSV file. The first section shows how to create a function to parse the text from a web page. The second section demonstrates how to use the function to grab the title, price, and category of a product from a web page.
  • 00:20:00 In this video, a web scraping project is explained, with code examples that show how to access and process data from a website. The first function is written to find links on a page, and the second function is used to get product information. An error is encountered, and the video demonstrates how to handle it. Finally, the video shows how to tidy up the data.
  • 00:25:00 This video shows how to use Python to scrape web pages for data. The user shows how to loop through pages and grab data from each page, and how to save the data to a CSV file.
  • 00:30:00 This video demonstrates how to save HTML pages from a website to a CSV file in Python. First, the author creates a new function to save the pages to a CSV file. Next, they import the CSV module and create an instance of the csv.dictWriter class to write the data to the CSV file. Finally, they write the header and browse to save the data.
  • 00:35:00 This video demonstrates how to use Python to scrape webpages, saving the data to a CSV file.

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