F
firecrawl-agent
by @firecrawlv
4.7(108)
AI驱动的自主数据提取工具,能够导航复杂网站并返回结构化JSON数据。
安装方式
npx skills add firecrawl/cli --skill firecrawl-agentcompare_arrows
Before / After 效果对比
1 组使用前
过去,从复杂网站提取结构化数据通常需要编写定制化的爬虫脚本,处理反爬机制、动态内容和不同页面布局,耗时且维护成本高,容易失败。
使用后
Firecrawl Agent作为AI驱动的自主数据提取工具,能够智能导航复杂网站,自动处理各种挑战,并返回高质量的结构化JSON数据,极大提升了数据获取效率。
SKILL.md
firecrawl agent
AI-powered autonomous extraction. The agent navigates sites and extracts structured data (takes 2-5 minutes).
When to use
- You need structured data from complex multi-page sites
- Manual scraping would require navigating many pages
- You want the AI to figure out where the data lives
Quick start
# Extract structured data
firecrawl agent "extract all pricing tiers" --wait -o .firecrawl/pricing.json
# With a JSON schema for structured output
firecrawl agent "extract products" --schema '{"type":"object","properties":{"name":{"type":"string"},"price":{"type":"number"}}}' --wait -o .firecrawl/products.json
# Focus on specific pages
firecrawl agent "get feature list" --urls "<url>" --wait -o .firecrawl/features.json
Options
| Option | Description |
|---|---|
--urls <urls> | Starting URLs for the agent |
--model <model> | Model to use: spark-1-mini or spark-1-pro |
--schema <json> | JSON schema for structured output |
--schema-file <path> | Path to JSON schema file |
--max-credits <n> | Credit limit for this agent run |
--wait | Wait for agent to complete |
--pretty | Pretty print JSON output |
-o, --output <path> | Output file path |
Tips
- Always use
--waitto get results inline. Without it, returns a job ID. - Use
--schemafor predictable, structured output — otherwise the agent returns freeform data. - Agent runs consume more credits than simple scrapes. Use
--max-creditsto cap spending. - For simple single-page extraction, prefer
scrape— it's faster and cheaper.
See also
- firecrawl-scrape — simpler single-page extraction
- firecrawl-browser — manual browser automation (more control)
- firecrawl-crawl — bulk extraction without AI
用户评价 (0)
发表评价
效果
易用性
文档
兼容性
暂无评价
统计数据
安装量43.5K
评分4.7 / 5.0
版本
更新日期2026年5月23日
对比案例1 组
用户评分
4.7(108)
5
23%
4
52%
3
23%
2
2%
1
0%
为此 Skill 评分
0.0
兼容平台
🔧Claude Code
🔧OpenClaw
🔧OpenCode
🔧Codex
🔧Gemini CLI
🔧GitHub Copilot
🔧Amp
🔧Kimi CLI
时间线
创建2026年3月16日
最后更新2026年5月23日