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Agent Skill · 研究检索

web-search-scraper-api-skill(WEB 搜索 scraper API 技能)

用于辅助 API 设计、接口文档、请求响应结构和服务集成说明。它适合让 Agent 梳理 endpoint、生成 OpenAPI 草稿、检查字段命名、整理错误码或辅助前后端联调。使用时需要确认真实业务语义、鉴权方式、分页和错误处理规则;涉及生成接口文档时,应避免凭空补字段,最好从现有代码、schema 或接口样例中提取事实。

web-search-scraper-api-skill 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 19,949。

总安装 5,389周安装 218GitHub Stars 公开资料未说明下载 1,692核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:web-search-scraper-api-skill(WEB 搜索 scraper API 技能)
来源仓库:https://github.com/browseract-ai/web-search-scraper-api-skill
安装命令:
openclaw skills install web-search-scraper-api-skill
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install web-search-scraper-api-skill

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于辅助API设计和接口文档整理,帮助梳理endpoint和错误码规则。通过BrowserAct Web Search Scraper API从网站提取完整Markdown内容。通过clawhub安装,结合来源仓库和原始README核验具体用法。使用时需确认真实业务语义和鉴权方式,避免凭空补字段。

web-search-scraper-api-skill 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install web-search-scraper-api-skill;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

web-search-scraper-api-skill 怎么安装?

在终端执行 openclaw skills install web-search-scraper-api-skill。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

web-search-scraper-api-skill 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

web-search-scraper-api-skill 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

web-search-scraper-api-skill 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

web-search-scraper-api-skill 用的人多吗?

公开数据是累计安装 5,389 次,近一周安装 218 次,下载 1,692 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

web-search-scraper-api-skill 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
web-search-scraper-api-skill

WEB 搜索 scraper API 技能 · 本页

5,389—接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
web-search-scraper-api-skill
description
This skill helps users automatically extract complete Markdown content from any website via the BrowserAct Web Search Scraper API. The Agent should proactively apply this skill when users express needs like extract complete markdown from a specific website, scrape the content of an article link, get the text from a target url, convert a webpage to markdown format, fetch the main content of a blog post, extract data from a given web page, parse the html of a website into markdown, download the readable text from a news article, obtain the content of a tutorial page, extract all the markdown text from any http or https url, scrape documentation from a web link, or grab the text of a single webpage.
metadata
{"clawdbot":{"emoji":"🌐","requires":{"bins":["python"],"env":["BROWSERACT_API_KEY"]}}}

Web Search Scraper API Skill

📖 Introduction

This skill provides users with a one-stop web page extraction service through the BrowserAct Web Search Scraper API template. It can directly extract structured markdown content from any given URL. By simply inputting the target URL, you can get clean and usable markdown data.

✨ Features

  1. No hallucinations, ensuring stable and precise data extraction: Pre-set workflows avoid AI generative hallucinations.
  2. No human-machine verification issues: No need to deal with reCAPTCHA or other verification challenges.
  3. No IP access restrictions or geofencing: No need to handle regional IP limitations.
  4. More agile execution speed: Compared to purely AI-driven browser automation solutions, task execution is faster.
  5. Extremely high cost-effectiveness: Compared to AI solutions that consume a lot of Tokens, it can significantly reduce the cost of data acquisition.

🔑 API Key Guidance Process

Before running, you must check the BROWSERACT_API_KEY environment variable. If it is not set, do not take other actions first; you should ask and wait for the user to provide it cooperatively. The Agent must inform the user at this time:

"Since you have not configured the BrowserAct API Key, please go to the BrowserAct Console first to get your Key."

🛠️ Input Parameters Details

Agent should flexibly configure the following parameters based on user needs when calling the script:

  1. target_url

- Type: string - Description: The website URL to extract content from. Supports any HTTP/HTTPS URL. - Example: https://www.browseract.com

🚀 Invocation Method (Recommended)

Agent should execute the following independent script to achieve "one command gets the result":

# Example invocation
python -u ./scripts/web_search_scraper_api.py "target_url"

⏳ Execution Status Monitoring

Since the task involves automated browser operations, it may take a long time (several minutes). The script will continuously output status logs with timestamps (e.g., [14:30:05] Task Status: running) while running. Notice for Agent:

  • While waiting for the script to return results, please keep paying attention to the terminal output.
  • As long as the terminal is still outputting new status logs, it means the task is running normally. Do not misjudge it as a deadlock or unresponsiveness.
  • If the status remains unchanged for a long time or the script stops outputting and no result is returned, the retry mechanism can be triggered.

📊 Data Output Description

Upon successful execution, the script will directly parse and print the result from the API response. The result contains:

  • content: The complete markdown content of the webpage.

⚠️ Error Handling & Retry Mechanism

During the execution of the script, if an error occurs (such as network fluctuation or task failure), the Agent should follow this logic:

  1. Check the output content:

- If the output contains "Invalid authorization", it means the API Key is invalid or expired. At this time, do not retry, and you should guide the user to recheck and provide the correct API Key. - If the output does not contain "Invalid authorization" but the task execution fails (for example, the output starts with Error: or the returned result is empty), the Agent should automatically try to re-execute the script once.

  1. Retry limit:

- Automatic retry is limited to once. If the second attempt still fails, stop retrying and report the specific error message to the user.

🌟 Typical Use Cases

  1. Article Extraction: Scrape the main content of a news article link into markdown.
  2. Blog Post Parsing: Download the readable text from a target blog post URL.
  3. Webpage to Markdown: Convert any given website URL into clean markdown format.
  4. Documentation Scraping: Fetch the contents of a tutorial or documentation page for offline reading.
  5. Content Monitoring: Automatically extract the text from a specific webpage for updates.
  6. Data Processing: Parse the HTML of an arbitrary HTTP/HTTPS URL to structure its content.

平台分布

OpenClaw

89.22%
按下载量换算1,510

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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