Web Search Scraper Api Skill logo

Web Search Scraper Api Skill

OrganizationPopular
browser-act
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 text from any http or https url, scrape documentation from a web link, or grab the text of a single webpage.

Overview

Publisherbrowser-act
Repositoryskills
Skill nameweb-search-scraper-api-skill
Stars
5.9K
Forks
295
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by browser-act on GitHub. Read the source before you install it.

Installation

Install the Web Search Scraper Api Skill AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/browser-act/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/solutions/search-research/web-search-scraper-api-skill .claude/skills/web-search-scraper-api-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Web Search Scraper Api Skill in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Web Search Scraper Api Skill on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Web Search Scraper Api Skill is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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":

bash
# 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.
  2. 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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Web Search Scraper Api Skill AI 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...

Why use Web Search Scraper Api Skill on TypingMind?

Because you install it once and use it with any model. Web Search Scraper Api Skill is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Web Search Scraper Api Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/browser-act/skills/tree/main/solutions/search-research/web-search-scraper-api-skill. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Web Search Scraper Api Skill?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Web Search Scraper Api Skill?

As many as you like. As long as a model supports skills, you can use Web Search Scraper Api Skill with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Web Search Scraper Api Skill AI skill free?

Yes. It is published on GitHub by browser-act under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇