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Python Requests Pagination to Scrape Multiple Pages

  • Web scraping involves extracting data from websites using Python libraries like requests and BeautifulSoup.
  • Handling pagination is crucial for scraping websites that split content across multiple pages.
  • Python's requests library struggles with dynamic content loading, where a scraping browser can be more effective.
  • Understanding pagination types like page numbers, 'Next' links, infinite scroll, or 'Load More' buttons is essential.
  • To scrape paginated pages, you need tools like requests and BeautifulSoup for parsing HTML.
  • Scraping a paginated website involves analyzing the website structure, finding pagination elements like
  • Functions can be created to scrape individual pages, follow 'Next' links for pagination, and handle infinite scroll scenarios.
  • Monitoring network requests using browser tools helps understand how to fetch additional content for infinite scroll or 'Load More' button.
  • Scraping multiple pages efficiently involves iterating through pages by changing URLs for each page or simulating infinite scroll requests.
  • Python libraries enable automation of scraping tasks, but it's important to adhere to website terms of service and avoid overwhelming servers.

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