Web scraping for AI

The scraping tool built for RAG pipelines.

Turn any website into clean, structured text ready for retrieval, indexing, and evaluation pipelines. Monitor every crawl live and export in the format your stack needs.

1,000 free crawl units. No credit card required.

5+
Export formats
< 1 min
To first crawl
1,000
Free crawl units
FireScraper dashboard showing active crawl projects with real-time status
Inside the workspace

More than a scraper. A workspace for AI data ops.

AI-ready output

Export website content as clean text, JSONL documents, and chunked formats that slot straight into embedding, retrieval, and evaluation pipelines.

FireScraper session page showing export downloads and crawl results

REST API and TypeScript SDK

Start crawls, poll status, and download results from scripts, CI pipelines, and AI agents. Zero-dependency SDK for Node.js, Bun, Deno, and Cloudflare Workers.

FireScraper developers page showing API keys and REST documentation

Scheduled recurring crawls

Set daily, weekly, or monthly schedules from any project configuration. FireScraper queues fresh runs automatically so your datasets stay current.

FireScraper schedules page showing recurring crawl configurations
Capabilities

Everything AI teams need from a scraper.

Parallel workers

Track every page live as it moves through the crawl pipeline with real-time queue visibility.

CSV, JSON, and JSONL exports

Download clean files ready for spreadsheets, ETL jobs, vector databases, and downstream tools.

Webhook delivery

Receive HMAC-signed callbacks when crawls finish so downstream pipelines start immediately.

Structured extraction

Define a JSON schema and pull typed fields from every page alongside the full text.

Markdown output

LLM-optimized text that uses fewer tokens than raw HTML for leaner RAG retrieval.

robots.txt support

Honour site rules automatically. Blocked URLs are logged so nothing is silently skipped.

FireScraper replaced three tools in our RAG pipeline. The JSONL export drops straight into our embedding step.

ML Engineer
AI startup

Scheduled crawls keep our knowledge base fresh automatically. We used to do this with cron + Puppeteer scripts.

Platform Engineer
SaaS company

The webhook delivery and structured extraction let us build a fully automated competitive pricing monitor.

Data Engineer
E-commerce team
Built for AI teams

What teams build with FireScraper

Build RAG datasets from documentation, blogs, and public knowledge bases
Feed structured website text into LLM fine-tuning and evaluation workflows
Automate recurring crawls with scheduled scrapes and webhook callbacks
Trigger scrapes from CI pipelines, n8n, or custom agents via the REST API
Extract structured product data, pricing, and metadata with JSON schemas
Start with 1,000 free crawl units.

No credit card required. Upgrade when you need more.