T

tavily-crawl

by @tavily-aiv
4.5(82)

Efficiently crawls entire websites, extracts desired content from multiple pages, and supports data saving, providing support for deep data analysis and information gathering.

web-crawlingdata-extractioninformation-retrievalwebsite-scrapingcontent-extractionGitHub
Installation
npx skills add tavily-ai/skills --skill tavily-crawl
compare_arrows

Before / After Comparison

1
Before

In the past, it required manually visiting multiple pages of a website and copying content, or writing complex web scraping scripts. The process was time-consuming and had a high technical barrier.

After

The Tavily Crawl skill can intelligently crawl an entire website and extract content from multiple pages, significantly simplifying data collection work and improving efficiency.

SKILL.md

tavily-crawl

tavily crawl

Crawl a website and extract content from multiple pages. Supports saving each page as a local markdown file.

Before running any command

If tvly is not found on PATH, install it first:

curl -fsSL https://cli.tavily.com/install.sh | bash && tvly login

Do not skip this step or fall back to other tools.

See tavily-cli for alternative install methods and auth options.

When to use

  • You need content from many pages on a site (e.g., all /docs/)

  • You want to download documentation for offline use

  • Step 4 in the workflow: search → extract → map → crawl → research

Quick start

# Basic crawl
tvly crawl "https://docs.example.com" --json

# Save each page as a markdown file
tvly crawl "https://docs.example.com" --output-dir ./docs/

# Deeper crawl with limits
tvly crawl "https://docs.example.com" --max-depth 2 --limit 50 --json

# Filter to specific paths
tvly crawl "https://example.com" --select-paths "/api/.*,/guides/.*" --exclude-paths "/blog/.*" --json

# Semantic focus (returns relevant chunks, not full pages)
tvly crawl "https://docs.example.com" --instructions "Find authentication docs" --chunks-per-source 3 --json

Options

Option Description

--max-depth Levels deep (1-5, default: 1)

--max-breadth Links per page (default: 20)

--limit Total pages cap (default: 50)

--instructions Natural language guidance for semantic focus

--chunks-per-source Chunks per page (1-5, requires --instructions)

--extract-depth basic (default) or advanced

--format markdown (default) or text

--select-paths Comma-separated regex patterns to include

--exclude-paths Comma-separated regex patterns to exclude

--select-domains Comma-separated regex for domains to include

--exclude-domains Comma-separated regex for domains to exclude

--allow-external / --no-external Include external links (default: allow)

--include-images Include images

--timeout Max wait (10-150 seconds)

-o, --output Save JSON output to file

--output-dir Save each page as a .md file in directory

--json Structured JSON output

Crawl for context vs. data collection

For agentic use (feeding results to an LLM):

Always use --instructions + --chunks-per-source. Returns only relevant chunks instead of full pages — prevents context explosion.

tvly crawl "https://docs.example.com" --instructions "API authentication" --chunks-per-source 3 --json

For data collection (saving to files):

Use --output-dir without --chunks-per-source to get full pages as markdown files.

tvly crawl "https://docs.example.com" --max-depth 2 --output-dir ./docs/

Tips

  • Start conservative--max-depth 1, --limit 20 — and scale up.

  • Use --select-paths to focus on the section you need.

  • Use map first to understand site structure before a full crawl.

  • Always set --limit to prevent runaway crawls.

See also

Weekly Installs292Repositorytavily-ai/skillsGitHub Stars95First Seen2 days agoSecurity AuditsGen Agent Trust HubFailSocketPassSnykFailInstalled oncodex286opencode285cursor285kimi-cli284gemini-cli284amp284

User Reviews (0)

Write a Review

Effect
Usability
Docs
Compatibility

No reviews yet

Statistics

Installs6.9K
Rating4.5 / 5.0
Version
Updated2026年5月23日
Comparisons1

User Rating

4.5(82)
5
16%
4
50%
3
30%
2
4%
1
0%

Rate this Skill

0.0

Compatible Platforms

🔧Claude Code

Timeline

Created2026年3月18日
Last Updated2026年5月23日