firecrawl/firecrawl-workflows

firecrawl-knowledge-ingest

Ingest public or authenticated knowledge bases and docs portals with Firecrawl browser.

ソースを見る
リポジトリの原文

見出し、例、コード、表、リンク、参照画像を含む原文を表示しています。

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

markdown
# 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.
同じリポジトリから

関連する Skills

すべての Skills
firecrawl
公式

firecrawl-workflows

Run outcome-focused Firecrawl workflows that produce deliverables such as research reports, literature reviews over published papers, SEO audits, QA reports, lead lists, knowledge bases, website design systems, and other structured web-data artifacts. Use when the user wants Firecrawl to complete a business, marketing, product, or creative workflow rather than merely scrape a page or integrate API calls into code.

導入数
2
GitHub Stars
155
更新日
8月21日
firecrawl
公式

firecrawl-deep-research

Produce an intensive, cited analytical report: executive summary, multi-angle findings, contrarian views, open questions, and full sources. Use only when the user needs rigorous synthesis of a complex topic (scientific, technical, policy, or market-analytical) that cannot be answered with a short search, and wants a formal written report, not a recommendation list. Do not use for product picks, top-N lists, quick lookups, or routine "find out about X" tasks. If the request does not clearly need this kind of report, do not use this skill. Do not use for a literature review over published papers. This skill collects evidence from the open web. A request for the literature on a biomedical, clinical, life-science, or other scientific topic — papers, studies, trials, preprints — belongs to firecrawl-research-papers, which queries Firecrawl's paper index (PubMed, bioRxiv, medRxiv, arXiv) instead of searching websites.

導入数
3
GitHub Stars
154
更新日
8月21日
firecrawl
公式

firecrawl-website-design-clone

Extract any website's design system into an agent-ready DESIGN.md using Firecrawl scrape evidence. Use when the user wants colors, fonts, spacing, components, layout patterns, or brand/UI guidance from a website so AI agents can create new websites, clone a look, or build pages inspired by that design.

導入数
3
GitHub Stars
154
更新日
8月21日
firecrawl
公式

firecrawl-research-papers

Find and synthesize research papers, whitepapers, PDFs, technical reports, and academic sources with Firecrawl Research, using semantic paper search, related-paper expansion, and in-body verification over Firecrawl's paper index — largely biomedical and life-science literature from PubMed, bioRxiv, and medRxiv, plus arXiv preprints in CS, physics, and math. Use when the user wants a literature review, systematic review, survey of studies, paper summary, research landscape, or sourced synthesis from scholarly and industry publications, including clinical, drug, gene, disease, epidemiology, and public-health topics. Prefer this over a general web-research workflow whenever the evidence base is published papers rather than web pages.

導入数
4
GitHub Stars
154
更新日
8月21日