AI Model
Training Data

Teams use Firecrawl to build domain-specific pre-training sets, instruction and Q&A datasets for SFT, preference data for RLHF, and evaluation sets derived from real docs and sites. Define domains and paths, crawl with Firecrawl, parse the PDFs, and turn the structured output into your preferred training format.

Yes. Send the file or URL to the Parse endpoint and Firecrawl returns clean, layout-aware Markdown. One call handles PDF, DOCX, DOC, ODT, RTF, XLSX, XLS, and HTML, so document-heavy training corpora load the same way as normal web pages.

Yes. The Firecrawl Research Index covers 3M+ arXiv papers plus a life sciences corpus, and each call returns query-ranked in-body passages, metadata, and citation-graph traversal. Domain-specific fine-tunes and evals ground in real literature with paper IDs attached.

Yes. Structured JSON output means you can generate consistent, comparable prompts and completions across many domains, which is what keeps preference-labeling clean. Scope each job by domain and path, and you keep a URL trail on every example.

Pre-training targets large, broad corpora built by crawling many domains at once. Post-training (SFT, RLHF, evals) targets narrower, task-shaped datasets built by extracting structure from specific pages. Firecrawl's Crawl, Scrape, Parse, Search, and Research Index endpoints cover both.

Point Monitor at the pages that back the set and let it run on a schedule. An AI judge scores each detected change against a plain-language goal, and a webhook fires only when the change is meaningful, so you refresh from real signal instead of blind reruns.

Firecrawl exposes a simple HTTP API and SDKs. Add a data-collection step at the start of your pipeline that calls Firecrawl, writes structured outputs to object storage, and hands those files to your preprocessing and training jobs.

Firecrawl respects robots.txt and standard web crawling conventions. You still own the decision about which sites to include and are responsible for making sure your AI training use complies with each site's terms and any regulatory requirements.

The world's most comprehensive context API for the web. Our custom browser stack and semantic index deliver superior data quality across any website, handling more content types and edge cases than any competitor.

JavaScript rendering, dynamic content, and robust request handling built-in.

Process millions of pages with automatic rate limiting, caching, and distributed infrastructure.

Optimized scraping engine with parallel processing and smart caching for instant results.

Comprehensive docs, SDKs for all major languages, and dedicated support to help you succeed.