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Firecrawl Build Scrape

OrganizationPopular
firecrawl
firecrawl-build-scrape

Integrate Firecrawl `/scrape` into product code for single-page extraction. Use when an app already has a URL and needs markdown, HTML, links, screenshots, metadata, or structured page output. Prefer this skill over broader crawl patterns when the feature is page-level.

Overview

Publisherfirecrawl
Repositoryfirecrawl
Skill namefirecrawl-build-scrape
Stars
181.6K
Forks
9.8K
Bundled files
1
LicenseISC
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by firecrawl on GitHub. Read the source before you install it.

Installation

Install the Firecrawl Build Scrape AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/firecrawl/firecrawl.git /tmp/firecrawl
mkdir -p .claude/skills
cp -r /tmp/firecrawl/skills/firecrawl-build-scrape .claude/skills/firecrawl-build-scrape
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Firecrawl Build Scrape in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Firecrawl Build Scrape on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Firecrawl Build Scrape is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Firecrawl Build Scrape

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 markdown unless the feature truly needs another format.
  • Use onlyMainContent for 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, or maxAge: 0 to skip index reuse for a freshness-critical read.
  • Read metadata.cacheState and metadata.cachedAt to 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

Implementation Notes

  • Keep the integration narrow: one feature, one URL, one extraction contract.
  • Treat /scrape as 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:

See Also

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Firecrawl Build Scrape AI skill do?

Integrate Firecrawl `/scrape` into product code for single-page extraction. Use when an app already has a URL and needs markdown, HTML, links, screenshots, metadata, or structured page output. Prefer this skill over broader crawl patterns when the feature is page-level.

Why use Firecrawl Build Scrape on TypingMind?

Because you install it once and use it with any model. Firecrawl Build Scrape is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Firecrawl Build Scrape in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/firecrawl/firecrawl/tree/main/skills/firecrawl-build-scrape. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Firecrawl Build Scrape?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Firecrawl Build Scrape?

As many as you like. As long as a model supports skills, you can use Firecrawl Build Scrape with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Firecrawl Build Scrape AI skill free?

Yes. It is published on GitHub by firecrawl under the ISC license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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