Scrapling: the web-scraping framework for the agentic web
Scrapling is a Python web-scraping framework that handles everything from a single request to a full-scale crawl, now resurfacing on GitHub Trending at 98,700 stars as agents make data acquisition the binding constraint.
Why it matters
It is the data-acquisition layer for agentic pipelines: one framework for fetching and parsing at any scale, so agents stop hand-rolling a scraper per site.
What you could build with it
A data team feeding an agent pipeline could use Scrapling to crawl supplier catalogs and competitor pages on a schedule, handing structured data to downstream agents instead of hand-writing a scraper per site.
Does it hold up?
Battle-tested at 98,000 stars: a scraping framework built for the agentic web, now resurfacing as agents make data acquisition the bottleneck; a long track record, though its handles-everything claim is marketing, not a benchmark.
Built with Scrapling
- AI Daily Report, 2026-11-06: Scraplingsmartotics · Daily AI report flags Scrapling at 97,937 stars as the scraping framework for the agentic web, arguing data acquisition is the binding constraint in most agentic pipelines.
Learn more
First spotted on github: source.
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