Atlas / Skills / browser-act / Web Search Scraper Api Skill

Web Search Scraper Api SkillSAFE

skills/browser-act/web-search-scraper-api-skill

Browser automation CLI built for AI agents. Break through anti-bot walls, hand off to humans across platforms when stuck. Parallel multi-task execution, independent multi-session operation, isolated multi-account browsing.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
1 documented
License
MIT
Stars
6,115
01

Overview

Browser automation CLI built for AI agents. Break through anti-bot walls, hand off to humans across platforms when stuck. Parallel multi-task execution, independent multi-session operation, isolated multi-account browsing.

Read from source at commit d69029b35077OBSERVED · 2026-10-08
02

Host compatibility

What the documentation claims. We have not run a compatibility test.

HostStatusNotes
openclawmentioned
03

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
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: {"openclaw":{"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](https://www.browseract.com/reception/integrations) 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.
04

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codePASS
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
declared (3 observation(s))
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-08 · audit v0.4.1 · source sha d69029b35077full audit observations/trust-audit/skill/browser-act__web-search-scraper-api-skill.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-08d69029b35077SAFEB89first audit
06

Questions

What does the Web Search Scraper Api Skill skill do?

Browser automation CLI built for AI agents. Break through anti-bot walls, hand off to humans across platforms when stuck. Parallel multi-task execution, independent multi-session operation, isolated multi-account browsing.

Is Web Search Scraper Api Skill safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Web Search Scraper Api Skill access on my machine?

The audit observed that it reaches the network. Each of those is consistent with what it says it does. Secrets in the source: none found.

Which assistants does Web Search Scraper Api Skill work with?

Its documentation mentions openclaw. That is what the text claims, not a compatibility test we ran.

How current is this page?

The grade is for one exact copy of the source (d69029b35077), read on 2026-10-08. The repository is watched, and a new audit runs when it changes — this is the first audit.

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