Agent skill · Data & Analytics

web-search-scraper-api-skill

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 tex

browser-actgithub.com/browser-actGitHub ↗
claude-codecodexcursorships scriptsMIT
Install
npx skills add browser-act/skills --skill web-search-scraper-api-skill --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: yes
Path: solutions/search-research/web-search-scraper-api-skill/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 5,160
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 use

What's inside
Steps it walks through
  1. 📖 Introduction
  2. ✨ Features
  3. 🔑 API Key Guidance Process
  4. 🛠️ Input Parameters Details
  5. 🚀 Invocation Method (Recommended)
  6. ⏳ Execution Status Monitoring
  7. 📊 Data Output Description
  8. ⚠️ Error Handling & Retry Mechanism
  9. 🌟 Typical Use Cases
Ships with 1 file
  • scripts/web_search_scraper_api.py
Commands it runs
Example invocation
python -u ./scripts/web_search_scraper_api.py "target_url"
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About this skill
What does the web-search-scraper-api-skill skill do?

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 tex

How do I install it?

Run `npx skills add browser-act/skills --skill web-search-scraper-api-skill --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From browser-act/skills, a repository with 5,160 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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