Learning how to scrape paginated websites may be difficult, but we’re here to help you sort it all out! Watch this video to learn more or get our free trial to start scraping today 👉[ Ссылка ]

Typically, some websites contain large sets of data (e-shops, for example) which are pretty impractical to display on one page. Even if these datasets are small, the page size would be huge if they were all displayed on one page. This results in a page taking longer to load and consuming more memory.

The solution for this is to display fewer records per page using pagination. If we take web design as an example, a user interface component called pager is placed at the bottom of the page. The pager contains links and buttons to navigate to the next, last, or any other specific page.

The process of extracting data from paginated pages can be a little difficult – typically, pagination with Python go hand-in-hand when it comes to web scraping.

Also, there can be many ways websites use to display pagination (numbers, Next buttons, etc.), it is important to look at the HTML markup and network traffic before proceeding with scraping.

In this tutorial, Oxylabs’ Content Manager Monika explains how to scrape through pagination – first, she’ll show you how to write a basic web scraper using Python and how web scraping pages with the “Next” button works.

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In this video, Monika covers these questions:
0:00 Intro
0:19 What is pagination in web scraping?
0:56 Most common pager types
2:00 How to scrape the next page without a Next button?
3:30 How do you scrape paginated websites in Python?

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