Atlas / Skills / browser-act / Amazon Competitor Analyzer

Amazon Competitor AnalyzerSAFE

skills/browser-act/amazon-competitor-analyzer

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

Install

Commands as the repository documents them. They are shown, not run.

pip install requests
pip install python-dotenv
03

Host compatibility

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

HostStatusNotes
openclawmentioned
04

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: amazon-competitor-analyzer
description: Scrapes Amazon product data from ASINs using browseract.com automation API and performs surgical competitive analysis. Compares specifications, pricing, review quality, and visual strategies to identify competitor moats and vulnerabilities.
metadata: {"openclaw":{"emoji":"📊","requires":{"bins":["python"],"env":["BROWSERACT_API_KEY"]}}}
---

# Amazon Competitor Analyzer

This skill scrapes Amazon product data from user-provided ASINs using browseract.com's browser automation API and performs deep competitive analysis.

## When to Use This Skill

- Competitive research: Input multiple ASINs to understand market landscape
- Pricing strategy analysis: Compare price bands across similar products
- Specification benchmarking: Deep dive into technical specs and feature differences
- Review insights: Analyze review quality, quantity, and sentiment patterns
- Market opportunity discovery: Identify gaps and potential threats

## What This Skill Does

1. **ASIN Data Collection**: Extract product title, price, rating, review count, images
2. **Specification Extraction**: Deep extraction of technical specs, features, and materials
3. **Review Quality Analysis**: Analyze review patterns, keywords, and sentiment
4. **Multi-Dimensional Comparison**: Side-by-side comparison of key metrics
5. **Moat Identification**: Identify core competitive advantages and barriers
6. **Vulnerability Discovery**: Find competitor weaknesses and market opportunities

## Features

1. **Stable and accurate data extraction**: Pre-set workflows ensure consistent results.
2. **Browser automation**: Uses BrowserAct's automated browser instances for reliable data collection.
3. **Global accessibility**: BrowserAct provides servers in multiple regions.
4. **Fast execution**: Optimized workflow templates complete tasks quickly.
5. **Cost efficient**: Reduces manual research time and associated costs.

## Prerequisites

### BrowserAct.com Account Setup

You need a BrowserAct.com account and API key:

1. Visit [browseract.com](https://browseract.com)
2. Sign up for an account
3. Navigate to [API Settings](https://www.browseract.com/reception/integrations)
4. Generate an API key

### Environment Configuration

Copy the `.env.example` file to `.env` and add your API key:

```bash
cp .env.example .env
# Edit .env and replace YOUR_API_KEY_HERE with your actual API key
```

Or set as environment variable:

```bash
export BROWSERACT_API_KEY="your-api-key-here"
```

## Usage

### Basic Analysis

```bash
python amazon-competitor-analyzer/amazon_competitor_analyzer.py B09G9GB4MG
```

### Multiple Products

```bash
python amazon-competitor-analyzer/amazon_competitor_analyzer.py B09G9GB4MG B07ABC11111 B08N5WRWNW
```

### With Output Directory

```bash
python amazon-competitor-analyzer/amazon_competitor_analyzer.py B09G9GB4MG -o ./output
```

### Output Formats

- **CSV**: Structured data table
- **Markdown**: Comprehensive report
- **JSON**: Raw data with analysis

## Parameters

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| asins | string | - | One or more Amazon ASINs to analyze |
| --output, -o | string | ./output | Output directory |
| --format | string | all | Output format (csv/markdown/json/all) |
| --api-key | string | env | BrowserAct API key |

## Dependencies

This skill requires the following Python packages:

```bash
pip install requests
```

Optional (for automatic .env loading):
```bash
pip install python-dotenv
```

## Environment Variables

| Variable | Required | Description |
|----------|----------|-------------|
| BROWSERACT_API_KEY | Yes | Your BrowserAct API key. Get it from [BrowserAct Console](https://www.browseract.com/reception/integrations) |

## Error Handling

- **Invalid API Key**: Check BROWSERACT_API_KEY environment variable
- **Network Error**: Verify internet connection
- **Rate Limit**: Wait and retry with exponential backoff
- **Invalid ASIN**: Verify ASIN format (10 alphanumeric characters)

---

**Version**: 1.0.0  
**Updated**: 2026-02-09  
**Template ID**: `77814333389670716`
05

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__amazon-competitor-analyzer.json · Report an issue / request a re-scan
06

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-08d69029b35077SAFEB89first audit
07

Questions

What does the Amazon Competitor Analyzer 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 Amazon Competitor Analyzer 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 Amazon Competitor Analyzer 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 Amazon Competitor Analyzer 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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