By the end of this tutorial, you will have a working Python script that extracts bol.com category and brand listings into structured records: product title, selling price in EUR, reference price, discount percentage, seller name, delivery promise, rating, and review count.

bol.com is an online marketplace serving the Netherlands and Belgium. Collecting listings manually is impractical at scale, while building a custom scraper requires handling anti-bot protections and residential proxy rotation.

In this guide, we use Python and the Apify Actor bol.com Scraper ( reventadata/bol-scraper ) to extract catalog data with automated retries and residential proxies. Our benchmark run ( oiRAQfzMlxspGYB2r , configured with maxItems: 60 , maxPages: 4 , sort: "RATING" , and minRating: 4.5 ) took 40.2 seconds to extract 60 dishwasher listings into a clean dataset.

⏱️ Time estimate: About 10 minutes.…