Alternative ways to extract data from a website

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What are alternative ways to extract data from a website besides using APIs or the HTML Extract node in n8n?

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Hi @Mehdi_Belkassi

If I had to pick just one, I’d go with HTTP Request and inspect the site’s network calls first, because in a lot of cases the page is already fetching structured JSON in the background, and that’s usually cleaner and more stable than scraping the rendered HTML.

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Hi @Mehdi_Belkassi ,
I wrote a longer post about the main options:

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Quick summary of that post: HTTP requests don’t usually keep working, even if for a few requests they do, because the websites don’t detect you as a browser. So here are 4 ways that do scale:

  1. Use official APIs whenever they exist. They’re meant for automated access so you’ll waste a lot less time. Here’s a step-by-step video on integrating any REST API into n8n.

  2. Pre-built scrapers on the Apify Store - there are ready-made scrapers for thousands of sites, usually with a free tier, and they plug right into n8n via the Apify node.

  3. General-purpose scraper + AI parsing - something like Webpage to Markdown by Apify gives you clean text, then you feed that into an LLM node to extract structured data. Really useful when site layouts vary.

  4. Custom dev with open-source libraries (Scrapy / Crawlee) - best for larger projects that need queues, retries, and custom storage, but the development cost is significant.

Basically, start at #1 and only move down the list when the simpler option doesn’t cover your case.

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