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firecrawl-knowledge-ingest

by @firecrawlv
4.6(120)

利用 Firecrawl 浏览器抓取公共或需认证的知识库和文档门户,支持处理 JS 渲染、登录验证、分页内容,并能提取结构化 JSON/Markdown 数据,用于构建和管理知识库。

web-scrapingdata-extractionknowledge-managementbrowser-automationdocumentationGitHub
安装方式
npx skills add https://github.com/firecrawl/firecrawl-workflows --skill firecrawl-knowledge-ingest
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Before / After 效果对比

1 组
使用前

人工从包含大量JS、需要登录或多页的文档网站收集知识,耗时费力且容易遗漏关键信息,难以保持数据更新。

使用后

自动高效地从复杂文档门户抓取结构化知识,确保数据完整性和时效性,大幅减少人工干预和错误。

SKILL.md

Firecrawl Knowledge Ingest

Use this when a docs portal needs browser navigation, auth, pagination, or JS rendering.

Onboarding Interview

Infer the portal URL, output format, auth needs, and page limit from context. If the portal is clear, proceed immediately.

Ask at most 1-3 concise questions only if blocked, such as the portal URL, whether authentication is required, or the desired output format.

Firecrawl Collection Plan

Use Firecrawl browser to:

  • open the portal and inspect navigation
  • identify sections, categories, sidebar links, and article URLs
  • follow sidebar navigation, next links, pagination, load-more controls, or search
  • scrape article content as markdown
  • extract metadata such as title, section, last updated date, author, and tags

Try Firecrawl map as a supplement for public URLs, but use browser navigation for auth-gated or JS-heavy content.

Final Deliverable

# Knowledge Ingest: [Portal]

## Summary
[Pages extracted, sections covered, limitations]

## Output
[JSON/markdown/merged file path or content]

## Sections
[Section names and article counts]

## Failed Or Restricted Pages
[Any access/loading issues]

## Sources
[URLs extracted]

## Rerun Inputs
workflow: firecrawl-knowledge-ingest
url: [portal url]
format: [json/markdown/merged]
max_pages: [number]

JSON Shape

Use source, url, extractedAt, totalArticles, and sections[] with article title, url, section, content, and metadata.

Quality Bar

  • Preserve code examples, tables, and formatting.
  • Strip nav chrome, headers, and footers.
  • Track extraction progress and page failures.
  • Respect authentication boundaries.

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统计数据

安装量31.3K
评分4.6 / 5.0
版本
更新日期2026年10月22日
对比案例1 组

用户评分

4.6(120)
5
37%
4
43%
3
13%
2
5%
1
2%

为此 Skill 评分

0.0

兼容平台

🤖claude-code

时间线

创建2026年5月22日
最后更新2026年10月22日
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