![]() if you go to the second page of results and you see the URL is the same except for something like ?page=2 on the end), you can set a range here, e.g. If you're trying to scrape multiple pages of data, and the site uses pagination that involves appending some page number to the end of the URL (e.g. The first page is where you put in the start URL of the page you want to scrape. If you run into trouble with the instructions here, importing one of our sitemaps and playing around with it might help you understand it better.) (Note: if you want to import an existing sitemap, like one of the complete ones that we've posted at the Data-Sitters Club GitHub repo for this book, you can choose "Import Sitemap" and copy and paste the text from the appropriate sitemap text file into the text field. Using Webscraper.io's menu, go to Create new sitemap > Create sitemap, as shown by arrow 3, above. Next, you need to 1) access it in your browser by opening the Developer Tools panel, then 2) choose Web Scraper from the tabs at the top of the panel. Webscraper.io is a plugin for the Chrome browser, so first you need to install it from the Chrome store. Webscraper.io was going to be a good tool for this job. I knew the Baby-Sitters Club Wiki on had the data I needed, presented as well-structured metadata on each book page. One of the things that makes this an easy example is because it's unusually well-structured HTML most real-world examples aren't that easy. If your data is complex, or spread across lots of different websites, the Webscraper.io plugin discussed below may not be the right tool for you. ![]() If you need to scrape data from webpages, it's a good place to start if you're not already comfortable with Python. When I need to do something simple, quick, and relatively small-scale, I go with webscraper.io, even though it gives you less flexibility in structuring and exporting your results compared to Python. Web scraping with Webscraper.io (adapted from The Data-Sitters Club)
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