tavily-extract
Skill1 starsChanged 5 months agoMITView on GitHub
通过 Tavily Extract API 提取网页内容。当用户需要从指定 URL 提取清洗后的网页内容时使用。
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7 other projects use a version of this.
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- Neetx/ai-research-radartheir own version, first seen Oct 31, 2026
- shaharsha/claude-skillstheir own version, first seen Oct 24, 2026
- Neetx/ai-security-research-radartheir own version, first seen Oct 22, 2026
- PracticalSwan/agent-skillstheir own version, first seen Oct 19, 2026
- wkylin/pro-react-admintheir own version, first seen Oct 8, 2026
- jpoindexter/theft-kittheir own version, first seen May 20, 2026
Other versions7 projects use a version of this.
Word for word · 0
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Edited · 0
None found.
Wrote their own version · 7
- wkylin/pro-react-admin★ 948same name
- PracticalSwan/agent-skills★ 22same name
- Neetx/ai-security-research-radar★ 8same name
- shaharsha/claude-skills★ 6same name
- Neetx/ai-research-radar★ 5same name
- jpoindexter/theft-kit★ 1same name
- baofeng-tech/agent-skills-so★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository4 other files it gives its agents.
- tavily-crawlSkill
- tavily-mapSkill
- tavily-researchSkill
- tavily-searchSkill
The file
Files
Tavily 网页提取
使用 Tavily Extract API (POST /extract) 从指定 URL 提取清洗后的网页内容，返回 LLM 友好的结构化数据。
环境准备
- Python 3.8+
- Tavily API key（在 https://app.tavily.com 获取）
- 安装依赖：
pip install requests python-dotenv
用法
python scripts/tavily-extract.py --urls "https://en.wikipedia.org/wiki/Artificial_intelligence"参数
| 参数 | 类型 | 默认值 | 说明 |
--urls | str | 必填 | 要提取的 URL，多个用英文逗号分隔（最多 20 个） |
--query | str | - | 用户意图，用于对提取的内容块重排序 |
--chunks-per-source | int | 3 | 每源返回的内容片段数（1-5，仅提供 --query 时生效） |
--extract-depth | str | basic | basic（每 5 个成功 URL 消耗 1 credit）/ advanced（含表格和内嵌内容，每 5 个成功 URL 消耗 2 credits） |
示例
# 提取单个页面
python scripts/tavily-extract.py --urls "https://en.wikipedia.org/wiki/Artificial_intelligence"
# 提取多个页面
python scripts/tavily-extract.py --urls "https://en.wikipedia.org/wiki/AI,https://en.wikipedia.org/wiki/Machine_learning"
# 高级提取 + 内容重排序
python scripts/tavily-extract.py --urls "https://en.wikipedia.org/wiki/Artificial_intelligence" --query "AI history" --extract-depth advanced --chunks-per-source 5Does it work?
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