Firecrawl Build Scrape
SkillWeb & browsingThis skill lets your AI scrape web pages and turn their content into structured data. Once added, your AI can pull what is on a page and reshape it into an organized form you can actually work with. It is for anyone who wants website content as usable data instead of a wall of text.
Use Firecrawl Build Scrape in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Firecrawl Build Scrape and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Firecrawl Build Scrape skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add the skill, then give your AI a link to a web page and describe the data you want from it. It will scrape the page and return the content as structured data.
What your AI can do with it
- Scrape web pages
- Turn page content into structured data
- Extract information from a page in an organized form
What this skill tells your AI
The instructions your AI receives, as published by firecrawl/skills in skills/build/firecrawl-build-scrape/SKILL.md and read by Ahel’s review.
Use this when the application already has the URL and needs content from one page.
Use This When
- the feature starts from a known URL
- you need page content for retrieval, summarization, enrichment, or monitoring
- you want the default extraction primitive before considering
/interact
Default Recommendations
- Return
markdownunless the feature truly needs another format. - Use
onlyMainContentfor article-like pages where nav and chrome add noise. - Add waits or other rendering options only when the page needs them.
Freshness and Liveness
- Firecrawl reuses recently indexed content, which is what makes repeat reads of the same URL fast. Set
maxAge(milliseconds) to bound how old a reused copy may be, ormaxAge: 0to skip index reuse for a freshness-critical read. - Read
metadata.cacheStateandmetadata.cachedAtto see what you actually got. - A successful scrape reports what the page returned. Whether the thing the page describes is still active is a source-specific judgment your code makes.
- See references/freshness-and-liveness.md for the tradeoff, the metadata, and the decision rule.
Common Product Patterns
- knowledge ingestion from known URLs
- enrichment from a company, product, or docs page
- pricing, changelog, and documentation extraction
- page-level quality checks or monitoring
Escalation Rules
- If you do not have the URL yet, start with firecrawl-build-search.
- If content requires clicks, typing, or multi-step navigation, escalate to firecrawl-build-interact.
Implementation Notes
- Keep the integration narrow: one feature, one URL, one extraction contract.
- Treat
/scrapeas the default primitive for downstream LLM or indexing pipelines. - Request richer formats only when the consumer needs them, such as links, screenshots, or branding data.
Docs (Source of Truth)
Read the source-of-truth page for your project language before writing integration code:
- Node / TypeScript: docs.firecrawl.dev/agent-source-of-truth/node
- Python: docs.firecrawl.dev/agent-source-of-truth/python
- Rust: docs.firecrawl.dev/agent-source-of-truth/rust
- Java: docs.firecrawl.dev/agent-source-of-truth/java
- Elixir: docs.firecrawl.dev/agent-source-of-truth/elixir
- cURL / REST: docs.firecrawl.dev/agent-source-of-truth/curl
See Also
Signals
- GitHub stars
- 113
- Forks
- 32
- Last commit
- Sep 2026
- Installs
- 60k installs
Advanced
- Item type
- skill
- Key
firecrawl-build-scrape- Source
- github.com/firecrawl/skills
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