A web scraping agent collects content from websites and uses a language model to pull out the facts you asked for as clean, structured data.
In plain words
An AI scraping setup first fetches a page and turns it into clean Markdown with menus and footers removed. A language model then reads that text and fills in a schema you define, such as a list of names and dates. Tools such as Crawl4AI and Firecrawl handle the fetching and cleaning.
A quick example
Imagine you want every event on a museum's website. The agent crawls the events pages, converts each to Markdown, and asks a model to return JSON with a title, date and price field for each event, ready for a spreadsheet.
Where you'll meet it
- Feeding fresh web content to RAG and research agents.
- Collecting product, job or event listings.
Related
Sources
- Docscrawl4ai, Crawl4AI (GitHub) · read 4 Nov 2026
- Docsfirecrawl, Firecrawl (GitHub) · read 18 Oct 2026
Checked by WhatIsAI against the sources above · 4 Nov 2026. Spotted an error? Report it.