AI use cases Research & web data Scrape websites into clean data for AI
Scrape websites into clean data for AI
Crawl and scrape pages into clean Markdown or structured data that AI models can use. Prompts, a responsible workflow and the best-scored tools.
- Tools compared
- 2
- Open source
- 2of 2
- Reviewed
- 16 Oct
For: Developers · Researchers and analysts · Marketing and content
What the score and shapes mean
Score = public maintenance, adoption and docs signals, as a percentile of 52 tools. Nobody here tested these hands-on. Shapes are the separate safety label: No issues found, No dependencies scanned, Caution.
What it does for you
Developers building AI features on web content, and researchers who need data in a usable form.
- Convert a page or a whole site to clean Markdown
- Extract structured fields (names, prices, dates) with a schema
- Feed fresh web content to an agent or search index
- Handle JavaScript-rendered pages
- Keep a local copy of documentation for offline search
More about this job
Models work better on clean text than on raw HTML. Crawling tools turn websites into Markdown or structured data and are the usual first step for research agents, search over your own site and training datasets.
Workflow in 5 steps
- Check the site's terms and robots.txt and whether an official API or data export exists.
- Start with a handful of pages and inspect the Markdown output.
- Add limits: depth, domains, concurrency and delay.
- Store the source URL and fetch date with every page.
- Re-crawl on a schedule only what changed.
Full steps
- Check the site's terms and robots.txt and whether an official API or data export exists.
- Start with a handful of pages and inspect the Markdown output.
- Add limits: depth, domains, concurrency and delay.
- Store the source URL and fetch date with every page.
- Re-crawl on a schedule only what changed.
Prompts to copy
Starting points we wrote, not tested results.
Write a script that crawls https://example.com/docs, follows links under /docs only, and saves each page as Markdown with its URL in the front matter.
2 more prompts
Define a schema for a product page (name, price, currency, availability) and extract it from these five URLs. Return null for missing fields instead of guessing.
Review this crawl config for politeness: concurrency, delay between requests and robots.txt handling.
Watch out for
- Respect each site's terms of service and robots.txt, rate-limit your crawler, and do not collect personal data you have no right to hold.
- Text an agent reads from the web, issues or documents can contain hidden instructions (prompt injection).
- Check each tool's licence before commercial use, and check the licence of any code or text the AI reproduces.
- Scraped text is untrusted input.
- Licence to check before commercial use: Firecrawl (AGPL-3.0).
- No issues foundFirecrawlNo issues found in this week’s scan
- CautionCrawl4AI29 critical-severity known vulnerabilities in runtime dependencies (OSV)
Why these warnings?
- Respect each site's terms of service and robots.txt, rate-limit your crawler, and do not collect personal data you have no right to hold.
- Text an agent reads from the web, issues or documents can contain hidden instructions (prompt injection). Do not give an agent that reads untrusted content write access to anything important.
- Check each tool's licence before commercial use, and check the licence of any code or text the AI reproduces.
- Scraped text is untrusted input. If an agent reads it, treat it as potentially containing instructions.
- Crawl4AI: 29 critical-severity known vulnerabilities in runtime dependencies (OSV)
Recommended tools
From our ranked data, highest score first. A high score does not mean a clean scan.
Related jobs
- Convert documents to Markdown for LLMs
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Sources for tool facts
firecrawl/firecrawl · unclecode/crawl4ai · Firecrawl documentation · Crawl4AI documentation. Data fetched 2 Nov 2026. Scores and labels are automated, relative and not a hands-on test.
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