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tavily-extract

Extract clean markdown or text content from specific URLs via the Tavily CLI. Use this skill when the user has one or more URLs and wants their content, says "extract", "grab the content from", "pull the text from", "get the page at", "read this webpage", or needs clean text from web pages. Handles JavaScript-rendered pages, returns LLM-optimized markdown, and supports query-focused chunking for targeted extraction. Can process up to 20 URLs in a single call.

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  • SKILL.md3.4 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

tavily extract

Extract clean markdown or text content from one or more URLs.

Before running

Run extract directly when tvly is available. Extract supports capped keyless access, so do not look for an API key or authenticate before the first request.

If tvly is missing, follow the tavily-cli setup before retrying. If the keyless cap is reached in an interactive session, run tvly login to open browser OAuth, then retry the original extraction once. In an unattended environment, report the cap and authentication options instead of starting an interactive flow. Do not start a second login immediately after guided setup has completed.

When to use

  • You have a specific URL and want its content
  • You need text from JavaScript-rendered pages
  • Step 2 in the workflow: search → extract → map → crawl → research

Quick start

# Single URL
tvly extract "https://example.com/article" --json

# Multiple URLs
tvly extract "https://example.com/page1" "https://example.com/page2" --json

# Query-focused extraction (returns relevant chunks only)
tvly extract "https://example.com/docs" --query "authentication API" --chunks-per-source 3 --json

# JS-heavy pages
tvly extract "https://app.example.com" --extract-depth advanced --json

# Save to file
tvly extract "https://example.com/article" -o article.json

Options

OptionDescription
--queryRerank chunks by relevance to this query
--chunks-per-sourceChunks per URL (1-5, requires --query)
--extract-depthbasic (default) or advanced (for JS pages)
--formatmarkdown (default) or text
--include-imagesInclude image URLs
--timeoutMax wait time (1-60 seconds)
-o, --outputSave the JSON response to a file
--jsonStructured JSON output

Extract depth

DepthWhen to use
basicSimple pages, fast — try this first
advancedJS-rendered SPAs, dynamic content, tables

Tips

  • Max 20 URLs per request — batch larger lists into multiple calls.
  • Use --query + --chunks-per-source to get only relevant content instead of full pages.
  • Try basic first, fall back to advanced if content is missing.
  • Set --timeout for slow pages (up to 60s).
  • Inspect failed_results even after exit code 0. A successful request can still return no extracted pages. Retry the affected URL with advanced when appropriate, otherwise report the per-URL failure instead of treating the request as complete.
  • If search results already contain the content you need (via --include-raw-content), skip the extract step.

See also

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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Build production-ready Tavily integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web search, content extraction, crawling, and research in agentic workflows, RAG systems, or autonomous agents.

日本語の概要は準備中です。原文の説明を表示しています。

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日本語の概要は準備中です。原文の説明を表示しています。

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日本語の概要は準備中です。原文の説明を表示しています。

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日本語の概要は準備中です。原文の説明を表示しています。

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日本語の概要は準備中です。原文の説明を表示しています。

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日本語の概要は準備中です。原文の説明を表示しています。

tavily-ai/skills4882026年9月5日 更新

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