Firecrawl’s example repo keeps its examples a secret

What it does

This repository collects example applications and websites built with Firecrawl. Judging by the repository topics—web-crawler, html-to-markdown, LLM, and RAG—the underlying tool turns scraped pages into structured text for AI pipelines. The README states the repo demonstrates “various implementations and use cases,” but it never lists them; you have to open individual directories to see what is actually inside. Most of the code is written in Jupyter Notebooks.

The interesting bit

The repo behaves like a cookbook with no table of contents. The top-level README is essentially a doorplate—it confirms you have arrived at the examples, but leaves the browsing and discovery entirely to you. If you prefer learning by reading working code rather than docs, that minimalism may be exactly what you want.

Key highlights

• Contains “complete application examples” built on Firecrawl, per the repo description.
• Tagged topics include AI scraping, HTML-to-markdown, RAG, and web-crawling.
• Organized as a monorepo where each project carries its own README.
• Written primarily in Jupyter Notebooks.
• 760 stars, indicating enough interest to make the example repo worth bookmarking.

Verdict

Clone this if you already use Firecrawl and want to see how other developers wired it into full applications. Skip it if you are hoping for a curated index or high-level overview—the top-level README offers neither.