Craigslist deliberately offers no public API. No documentation, no developer program, no OAuth flow. If you want to build something on top of Craigslist data, your options have traditionally been fragile HTML scrapers that break every time they change a class name.
But Craigslist does have an API. They use it internally. Every time you load a page, your browser calls sapi.craigslist.org and gets back structured JSON. The endpoints exist, they just aren't documented.
DataFaucet launches a real browser, navigates to Craigslist, and intercepts all network traffic via Chrome DevTools Protocol. In about 30 seconds of browsing, it captured three data-carrying endpoints:
| Endpoint | What it does |
|----------|-------------|
| /web/v8/postings/search/full | Search listings by area and category |
| /web/v8/postings/{id} | Get full posting details |
| /web/v8/areas | List all 430+ Craigslist areas |
No authentication required. JSON responses. Parameters extracted from URL patterns.
From those 3 endpoints, DataFaucet generated a fully typed MCP server with:
// What your AI agent can now do:
"Find 2-bedroom apartments under $2000/mo in SF with parking"
"Show me remote software jobs posted today in the Bay Area"
"What furniture is for sale near me under $100?"The Craigslist MCP server is deployed and running. Add it to Claude Code with one command:
claude mcp add craigslist-demo https://datafaucet.dev/api/mcp/demo-craigslistThen ask Claude anything about Craigslist listings. It will call the tools automatically.
Most real-world tools will never get an official MCP server. The company won't build one. The community hasn't built one. But the internal APIs already exist, because the web app uses them.
DataFaucet turns that hidden traffic into working MCP tools in under a minute. No scraping, no reverse engineering by hand, no maintenance burden when endpoints change (just re-scan).
Any site that loads data via JavaScript has an internal API. Some examples people have built with DataFaucet:
The pattern is the same: browse, capture, deploy. Try it yourself or build your own MCP server from any site.
Turn any API into tools your AI agent can call. No code required.
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Most internal tools have no public API. Learn how to give Claude, Cursor, and other AI agents access to admin panels, CRMs, and dashboards using DataFaucet's traffic capture.
Point at any URL. Get a working MCP server in 60 seconds. No API docs needed.
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