firecrawl-search

作者: firecrawl

可選內容抓取的網路搜尋。以JSON格式回傳搜尋結果,並可選擇包含完整頁面內容。

npx skills add https://github.com/firecrawl/firecrawl-claude-plugin --skill firecrawl-search

firecrawl search

Web search with optional content scraping. Returns search results as JSON, optionally with full page content.

When to use

  • You don't have a specific URL yet
  • You need to find pages, answer questions, or discover sources
  • First step in the workflow escalation pattern: search → scrape → map → crawl → interact

Quick start

# Basic search
firecrawl search "your query" -o .firecrawl/result.json --json

# Search and scrape full page content from results
firecrawl search "your query" --scrape -o .firecrawl/scraped.json --json

# News from the past day
firecrawl search "your query" --sources news --tbs qdr:d -o .firecrawl/news.json --json

Options

OptionDescription
--limit <n>Max number of results
--sources <web,images,news>Source types to search
--categories <github,research,pdf>Filter by category
--tbs <qdr:h|d|w|m|y>Time-based search filter
--locationLocation for search results
--country <code>Country code for search
--scrapeAlso scrape full page content for each result
--scrape-formatsFormats when scraping (default: markdown)
-o, --output <path>Output file path
--jsonOutput as JSON

Tips

  • --scrape fetches full content — don't re-scrape URLs from search results. This saves credits and avoids redundant fetches.
  • Always write results to .firecrawl/ with -o to avoid context window bloat.
  • Use jq to extract URLs or titles: jq -r '.data.web[].url' .firecrawl/search.json
  • Naming convention: .firecrawl/search-{query}.json or .firecrawl/search-{query}-scraped.json

Send feedback after every search (refunds 1 credit)

Search costs 2 credits. After you've actually used the results (or decided they were useless), send structured feedback with firecrawl search-feedback <id>. The first feedback per search refunds 1 credit and helps us improve search quality. Do this once per search, in the background, after you finish processing the results — it does not block your main task.

Opt out: if FIRECRAWL_NO_SEARCH_FEEDBACK=1 (or FIRECRAWL_DISABLE_SEARCH_FEEDBACK=1) is set, the CLI silently skips the call and never sends anything. Respect that — do not try to work around it. (Team admins can also disable this server-side; the API will return feedbackErrorCode: "TEAM_OPTED_OUT" and the CLI will exit 0 silently.)

Rules to know before you call this:

  • Time window: must be sent within ~2 minutes of the search. Late feedback is rejected.
  • --missing-content is the most important field. It's a list of specific pieces of content you expected but did not find. One topic per entry — do not pack multiple topics into one string. These aggregate across teams and tell us what to index next.
  • Substantive content required (zero-effort feedback is rejected with HTTP 400):
    • good → must include at least one --valuable-sources entry.
    • partial → must include --valuable-sources or --missing-content.
    • bad → must include --missing-content or --query-suggestions.
  • Daily refund cap (per team, per UTC day, default 100 credits). Once your team has been refunded 100 credits today, further submissions still record feedback but no longer refund credits. The response includes creditsRefundedToday / dailyRefundCap / dailyCapReached. When dailyCapReached: true, stop calling search-feedback for the rest of the UTC day — it won't refund anything and you're wasting bandwidth.
  • Idempotent: re-submitting for the same search id returns success but no extra refund.
  • --silent & is the right pattern — exit code 0 even on failure, so a rejected/expired call never crashes your pipeline.

Read the search response's id:

SEARCH_ID=$(jq -r '.id' .firecrawl/search-react-hooks.json)

Then send feedback. Pick the rating that matches what actually happened:

# Results were useful, with notes on what was still missing
firecrawl search-feedback "$SEARCH_ID" \
  --rating good \
  --valuable-sources '[{"url":"https://react.dev/reference/react/hooks","reason":"Most authoritative"}]' \
  --missing-content '[
    {"topic":"useDeferredValue","description":"No example of useDeferredValue with Suspense"},
    {"topic":"useTransition","description":"No coverage of useTransition for routing"}
  ]' \
  --query-suggestions "Boost react.dev for queries about react hooks" \
  --silent &

# Results were partially useful — multiple missing topics, one entry per topic
firecrawl search-feedback "$SEARCH_ID" \
  --rating partial \
  --missing-content '[
    {"topic":"useDeferredValue"},
    {"topic":"useTransition","description":"Need React 18+ examples"},
    {"topic":"Server Components hooks"}
  ]' \
  --silent &

# Quick form — repeat --missing-content or use comma-separated topics
firecrawl search-feedback "$SEARCH_ID" \
  --rating bad \
  --missing-content "official api reference: missing v2 endpoints" \
  --missing-content "code examples in python" \
  --silent &

--missing-content accepts:

  • JSON array of {topic, description?} objects (richest, preferred)
  • "topic: description" strings (shorthand)
  • Plain "topic1, topic2, topic3" (when you only have topic names)
  • Repeated --missing-content flags

--silent suppresses output and & runs it in the background so feedback never blocks you.

See also

來自 firecrawl 的更多技能

oracle
firecrawl
使用 oracle CLI 的最佳實踐(提示與檔案捆綁、引擎、會話及檔案附加模式)。
official
firecrawl-monitor
firecrawl
偵測網站內容何時變更,並透過 Webhook 或電子郵件接收通知 — 無需 Cron 任務、爬蟲或比對腳本。當使用者想追蹤頁面變更、監控競爭對手定價、在新職缺或部落格文章出現時收到提醒、監控文件/更新紀錄/狀態頁面,或說出「監控」、「觀察」、「追蹤」、「當...時提醒我」、「當 X 變更時通知我」、「如果...請通知我」、「當...時寄信給我」或「當...時傳送 Webhook」時,請使用此技能。內建的 AI 判斷器會過濾格式、時間戳記及...
officialweb-scrapingresearch
firecrawl-deep-research
firecrawl
使用 Firecrawl 執行多來源深度研究。當使用者要求研究某個主題、比較不同觀點、產出具來源的簡報、調查技術或市場問題,或綜合多個來源的網路證據時使用。
officialresearchweb-scraping
firecrawl-research-papers
firecrawl
使用 Firecrawl 查找並綜合研究論文、白皮書、PDF、技術報告及學術來源。適用於用戶需要文獻回顧、論文摘要、研究現狀分析,或從 PDF 及學術/行業出版物中獲取有來源的綜合資訊時。
officialresearchweb-scraping
firecrawl-market-research
firecrawl
使用 Firecrawl 提取市場、財務、收益、行業及公司指標。適用於用戶查詢市場研究、行業趨勢、上市公司數據、財務比較、收益研究或結構化市場報告時使用。
officialresearchweb-scraping
firecrawl-website-design-clone
firecrawl
使用 Firecrawl 抓取證據,將任何網站的設計系統提取為可供代理程式使用的 DESIGN.md。當使用者需要從網站取得顏色、字型、間距、元件、版面配置模式或品牌/UI 指引,以便 AI 代理程式能建立新網站、複製外觀或根據該設計建構頁面時使用。
officialdesignweb-scraping
firecrawl-knowledge-base
firecrawl
使用 Firecrawl 從網頁內容建立知識庫。適用於本地參考文件、RAG 就緒區塊、微調資料集、文件鏡像、主題語料庫,或從網路來源整理而成的 LLM 就緒 Markdown。
officialweb-scrapingresearch
firecrawl-lead-research
firecrawl
使用 Firecrawl 生成會前潛在客戶情報簡報。適用於用戶在銷售通話、合作會議、投資人對話或客戶訪談前,需要進行公司研究、人物研究、最新新聞、談話要點、痛點分析或外展準備時。
officialresearchweb-scraping