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Agent Skill · 研究检索

firecrawl(Firecrawl 网页抓取)

firecrawl 用于处理浏览器自动化、网页检查和页面信息提取,适合在 Codex、Claude、Cursor、Gemini CLI 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

firecrawl 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 41,004。

总安装 1,224周安装 50GitHub Stars 22下载 396核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:firecrawl(Firecrawl 网页抓取)
来源仓库:https://github.com/tdimino/claude-code-minoan
仓库路径:skills/firecrawl
安装命令:
npx skills add https://github.com/tdimino/claude-code-minoan --skill firecrawl
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/tdimino/claude-code-minoan --skill firecrawl

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

firecrawl 用于处理浏览器自动化、网页检查和页面信息提取。适合在 Codex、Claude、Cursor、Gemini CLI 中让 Agent 打开页面、读取网页或验证前端流程。通过 npx skills add 命令从指定仓库安装,需结合原始 README 核验具体用法。

安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。当前无额外底部简介,可参考来源仓库获取完整功能说明。

来源仓库内路径:skills/firecrawl

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/tdimino/claude-code-minoan --skill firecrawl;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

firecrawl 怎么安装?

在终端执行 npx skills add https://github.com/tdimino/claude-code-minoan --skill firecrawl。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

firecrawl 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

firecrawl 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

firecrawl 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

firecrawl 用的人多吗?

公开数据是累计安装 1,224 次,近一周安装 50 次,下载 396 次,GitHub 22 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

firecrawl 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
firecrawl

Firecrawl 网页抓取 · 本页

1,22422接触敏感数据未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Firecrawl & Jina Web Scraping

Firecrawl vs WebFetch

Prefer firecrawl scrape URL --only-main-content over the WebFetch tool—it produces cleaner markdown, handles JavaScript-heavy pages, and avoids content truncation (>80% benchmark coverage). WebFetch is acceptable as a fallback when Firecrawl is unavailable.

# Preferred approach:
firecrawl scrape https://docs.example.com/api --only-main-content

Token-Efficient Scraping

Inspired by Anthropic's dynamic filtering—always filter before reasoning. This reduced input tokens by ~24% and improved accuracy by ~11% in their benchmarks.

The Principle: Search → Filter → Scrape → Filter → Reason

DO:

Search (titles/URLs only) → Evaluate relevance → Scrape top hits → Filter by section → Reason

DON'T:

Search → Scrape everything → Reason over all of it

Step-by-Step Efficient Workflow

# Step 1: Search — get titles/URLs only (cheap)
firecrawl search "query" --limit 20

# Step 2: Evaluate results, pick 3-5 best URLs

# Step 3: Scrape only those, filter to relevant sections
firecrawl scrape URL1 --only-main-content | \
  python3 ~/.claude/skills/firecrawl/scripts/filter_web_results.py \
  --sections "API,Authentication" --max-chars 5000

Post-Processing with filter_web_results.py

Pipe any Firecrawl or Exa output through this script to reduce context before reasoning:

# Extract only matching sections from scraped page
firecrawl scrape URL --only-main-content | \
  python3 ~/.claude/skills/firecrawl/scripts/filter_web_results.py --sections "Pricing,Plans"

# Keep only paragraphs with keywords
firecrawl search "query" --scrape --pretty | \
  python3 ~/.claude/skills/firecrawl/scripts/filter_web_results.py --keywords "pricing,cost" --max-chars 5000

# Extract specific JSON fields from API output
python3 ~/.claude/skills/exa-search/scripts/exa_search.py "query" --json | \
  python3 ~/.claude/skills/firecrawl/scripts/filter_web_results.py --fields "title,url,text" --max-chars 3000

# Combine filters with stats
firecrawl scrape URL --only-main-content | \
  python3 ~/.claude/skills/firecrawl/scripts/filter_web_results.py --sections "API" --keywords "endpoint" --compact --stats

Full path: python3 ~/.claude/skills/firecrawl/scripts/filter_web_results.py Flags: --sections, --keywords, --max-chars, --max-lines, --fields (JSON), --strip-links, --strip-images, --compact, --stats

Other Token-Saving Patterns

  • Use --only-main-content to strip navigation and footer boilerplate, reducing token consumption. Omit only when nav/footer content is specifically needed.
  • Use firecrawl map URL --search "topic" first to find relevant subpages before scraping
  • Use --format links first to get URL list, evaluate, then scrape selectively
  • Use --max-chars with exa_contents.py to cap extraction length
  • Use --formats summary (Python API script) over full text when you need the gist, not raw content

Claude API Native Tools (for API Agent Builders)

Anthropic's API now offers built-in dynamic filtering tools:

web_search_20260209 / web_fetch_20260209
Header: anthropic-beta: code-execution-web-tools-2026-02-09

These have built-in dynamic filtering via code execution. Use them when building Claude API agents directly. Use Firecrawl/Exa when you need: autonomous agents, batch scraping, structured extraction, domain-specific crawling, or when not on the Claude API.


Available Tools

1. Official Firecrawl CLI (firecrawl) — Primary

Setup: npm install -g firecrawl-cli && firecrawl login --api-key $FIRECRAWL_API_KEY

CommandPurposeQuick Example
scrapeSingle page → markdownfirecrawl scrape URL --only-main-content
crawlEntire site with progressfirecrawl crawl URL --wait --progress --limit 50
mapDiscover all URLs on a sitefirecrawl map URL --search "API"
searchWeb search (+ optional scrape)firecrawl search "query" --limit 10

Full CLI reference: references/cli-reference.md

2. Auto-Save Alias (fc-save) — Shell Alias

Requires shell alias setup (not bundled with this skill).

fc-save URL
# → Saves to ~/Desktop/Screencaps & Chats/Web-Scrapes/docs-example-com-api.md

3. Python API Script (firecrawl_api.py) — Advanced Features

Command: python3 ~/.claude/skills/firecrawl/scripts/firecrawl_api.py <command> Requires: FIRECRAWL_API_KEY env var, pip install firecrawl-py requests

CommandPurposeQuick Example
searchWeb search with scrapingfirecrawl_api.py search "query" -n 10
scrapeSingle URL with page actionsfirecrawl_api.py scrape URL --formats markdown summary
batch-scrapeMultiple URLs concurrentlyfirecrawl_api.py batch-scrape URL1 URL2 URL3
crawlWebsite crawlingfirecrawl_api.py crawl URL --limit 20
mapURL discoveryfirecrawl_api.py map URL --search "query"
extractLLM-powered structured extractionfirecrawl_api.py extract URL --prompt "Find pricing"
agentAutonomous extraction (no URLs needed)firecrawl_api.py agent "Find YC W24 AI startups"
parallel-agentBulk agent queries (v2.8.0+)firecrawl_api.py parallel-agent "Q1" "Q2" "Q3"
interactPost-scrape browser interactionfirecrawl_api.py interact SCRAPE_ID --prompt "Click pricing"
interact-stopStop an interact sessionfirecrawl_api.py interact-stop SCRAPE_ID

Agent models: spark-1-fast (10 credits, simple), spark-1-mini (default), spark-1-pro (thorough)

Full Python API reference: references/python-api-reference.md

4. DeepWiki — GitHub Repo Documentation

~/.claude/skills/firecrawl/scripts/deepwiki.sh <owner/repo> [section] [options]

AI-generated wiki for any public GitHub repo. No API key required.

# Overview
~/.claude/skills/firecrawl/scripts/deepwiki.sh karpathy/nanochat

# Browse sections
~/.claude/skills/firecrawl/scripts/deepwiki.sh langchain-ai/langchain --toc

# Specific section
~/.claude/skills/firecrawl/scripts/deepwiki.sh karpathy/nanochat 4.1-gpt-transformer-implementation

# Full dump for RAG
~/.claude/skills/firecrawl/scripts/deepwiki.sh openai/openai-python --all --save

5. Jina Reader (jina) — Fallback

Use when Firecrawl fails or for Twitter/X URLs (Firecrawl blocks Twitter, Jina works).

jina https://x.com/username/status/123456

Firecrawl vs Exa vs Native Claude Tools

NeedBest ToolWhy
Single page → markdownfirecrawl scrape --only-main-contentCleanest output
Search + scrape in one shotfirecrawl search --scrapeCombined operation
Crawl entire sitefirecrawl crawl --wait --progressLink following + progress
Autonomous data findingfirecrawl_api.py agentNo URLs needed
Semantic/neural searchExa exa_search.pyAI-powered relevance
Find research papersExa --category "research paper"Academic index
Quick research answerExa exa_research.pyCitations + synthesis
Find similar pagesExa exa_similar.pyCompetitive analysis
Claude API agent buildingNative web_search_20260209Built-in dynamic filtering
Twitter/X contentjina URLOnly tool that works
GitHub repo docsdeepwiki.sh owner/repoAI-generated wiki
Anti-bot / Cloudflare bypassscrapling stealth fetchLocal Turnstile solver
Element-level extractionscrapling + CSS selectorsPrecision targeting, adaptive tracking
No API key scrapingscrapling HTTP fetch100% local, no credentials
Site redesign resiliencescrapling adaptive modeSQLite similarity matching
Budget JS-rendered scrapecf_browser.py markdown URLCF free tier: 10 min/day, $0.09/hr paid
Free static page fetchcf_browser.py markdown URL --no-renderFREE during beta (no JS)
Budget multi-page crawlcf_browser.py crawl URL5 free crawls/day, 100 pages each
Incremental re-crawlcf_browser.py crawl --modified-sinceBuilt-in, Firecrawl lacks this
Page screenshot/PDFcf_browser.py screenshot/pdf URLBuilt-in CF endpoints, cheaper
AI structured extractioncf_browser.py json URL --prompt "..."Workers AI included free

Common Workflows

Single Page Scraping

firecrawl scrape https://example.com/page --only-main-content
# Or auto-save: fc-save URL
# Or to file: firecrawl scrape URL --only-main-content -o page.md

Documentation Crawling

# Map first, then crawl relevant paths
firecrawl map https://docs.example.com --search "API"
firecrawl crawl https://docs.example.com --include-paths /api,/guides --wait --progress

Research Workflow

firecrawl search "machine learning best practices 2026" --scrape --scrape-formats markdown

Agent-Powered Research (No URLs Needed)

python3 ~/.claude/skills/firecrawl/scripts/firecrawl_api.py agent \
  "Compare pricing tiers for Firecrawl, Apify, and ScrapingBee"

Interact Workflows (Post-Scrape Browser Interaction)

Scrape a page, then take actions on it—click buttons, fill forms, extract dynamic content. Two modes: AI prompts (natural language) and code execution (Node.js/Python/Bash).

When to Use Interact vs. Actions
NeedUseWhy
Click/wait before a single scrape--actions on scrapeFire-and-forget, no session overhead
Multiple interactions with same pageinteractPersistent session, back-and-forth
Fill forms, log in, navigateinteractStateful, multi-step
Simple "wait for JS to load"--actions with waitCheaper, no session
Basic Interact (AI Prompt Mode)
# Step 1: Scrape and note the Scrape ID from output
python3 ~/.claude/skills/firecrawl/scripts/firecrawl_api.py scrape "https://example.com/pricing"

# Step 2: Interact using natural language
python3 ~/.claude/skills/firecrawl/scripts/firecrawl_api.py interact SCRAPE_ID \
  --prompt "Click the Enterprise pricing tab"

# Step 3: More interactions on same session
python3 ~/.claude/skills/firecrawl/scripts/firecrawl_api.py interact SCRAPE_ID \
  --prompt "What is the monthly price for the Enterprise plan?"

# Step 4: Stop when done
python3 ~/.claude/skills/firecrawl/scripts/firecrawl_api.py interact-stop SCRAPE_ID
Code Execution Mode (Cheaper)
# Execute Playwright code directly (2 credits/min vs 7 for prompts)
python3 ~/.claude/skills/firecrawl/scripts/firecrawl_api.py interact SCRAPE_ID \
  --code "const text = await page.locator('.pricing-table').textContent(); console.log(text);"

# Python mode
python3 ~/.claude/skills/firecrawl/scripts/firecrawl_api.py interact SCRAPE_ID \
  --code "text = await page.locator('.content').text_content(); print(text)" \
  --language python
Persistent Profile (Login Sessions)
# Scrape with a named profile — browser state persists across sessions
python3 ~/.claude/skills/firecrawl/scripts/firecrawl_api.py scrape "https://app.example.com/login" \
  --profile my-app --json

# Interact to log in
python3 ~/.claude/skills/firecrawl/scripts/firecrawl_api.py interact SCRAPE_ID \
  --code "await page.fill('#email', 'user@example.com'); await page.fill('#password', 'pass'); await page.click('button[type=submit]');"

# Later: scrape another page with same profile — cookies restored
python3 ~/.claude/skills/firecrawl/scripts/firecrawl_api.py scrape "https://app.example.com/dashboard" \
  --profile my-app

Important: Interact does NOT return page markdown. To get updated content after interaction, use code mode to extract specific elements, or issue a follow-up scrape.

Full interact reference: references/interact-reference.md


Troubleshooting

# Check status and credits
firecrawl --status && firecrawl credit-usage

# Re-authenticate
firecrawl logout && firecrawl login --api-key $FIRECRAWL_API_KEY

# Check API key
echo $FIRECRAWL_API_KEY
  • Scrape fails: Try jina URL, or add --wait-for 3000 for JS-heavy sites
  • Async job stuck: Check with crawl-status/batch-status, cancel with crawl-cancel/batch-cancel
  • Disable telemetry: export FIRECRAWL_NO_TELEMETRY=1

Reference Documentation

FileContents
references/cli-reference.mdFull CLI parameter reference (scrape, crawl, map, search, fc-save, jina, deepwiki)
references/python-api-reference.mdFull Python API script reference (all commands, SDK examples)
references/firecrawl-api.mdFirecrawl Search API reference
references/firecrawl-agent-api.mdAgent API (spark models, parallel agents, webhooks)
references/actions-reference.mdPage actions for dynamic content (click, write, wait, scroll)
references/interact-reference.mdInteract API: post-scrape browser interaction (prompt, code, profiles)
references/branding-format.mdBrand identity extraction (colors, fonts, UI)

Test Suite

python3 ~/.claude/skills/firecrawl/scripts/test_firecrawl.py --quick    # Quick validation
python3 ~/.claude/skills/firecrawl/scripts/test_firecrawl.py            # Full suite
python3 ~/.claude/skills/firecrawl/scripts/test_firecrawl.py --test scrape  # Specific test

平台分布

Codex

35.39%
按下载量换算140

Claude

31.32%
按下载量换算124

Cursor

17.33%
按下载量换算69

Gemini CLI

9.89%
按下载量换算39

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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