Scrapy
Understand how to employ Scrapy, a powerful Python framework for web scraping, to systematically extract data such as questions, votes, views, and answers from websites by using CSS selectors and real-world examples.
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Scrapy
Scrapy is one of the other tools that we can use to extract data from sites. It has a more organized structure and works in a systematic manner. We won’t go into too much detail, though. Instead, we will look at a real-time example of scraping data using Scrapy to understand how it works.
Exercise
We will visit a site that displays questions/queries asked by people all over the world. A screenshot of the image is shown below:
We will scrape the top ten questions available at the time the site is accessed by our code. Each scraped item will include four components of a question:
- Summary
- Votes
- Views
- Number of answers
Single question’s HTML
Go to the site and pick one question.
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