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Amazon Reviews Api Skill

Automatically extract and analyze Amazon product reviews, including ratings, comments, verified purchases, and reviewer profiles using the ASIN.

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High Signal

Automatically extract and analyze Amazon product reviews, including ratings, comments, verified purchases, and reviewer profiles using the ASIN.

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, scripts/amazon_reviews_api.py

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
0.1.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 9 sections Open source page

๐Ÿ“– Introduction

This skill provides a one-stop Amazon review collection service through BrowserAct's Amazon Reviews API template. It can directly extract structured review results from Amazon product pages. By simply providing an ASIN, you can get clean, usable review data without building crawler scripts or requiring an Amazon account login.

โœจ Features

No Hallucination, Ensuring Stable and Accurate Extraction: Preset workflows avoid AI-generated hallucinations. No Anti-Bot Issues: Built-in mechanisms bypass reCAPTCHA and other verification challenges. No IP Restrictions or Geofencing: Breaks through regional IP limits to ensure stable global access. Agile Execution: Tasks run faster than pure AI-driven browser automation solutions. High Cost-Efficiency: Significantly reduces data acquisition costs compared to token-heavy AI schemes.

๐Ÿ”‘ API Key Setup Flow

Before running, you must check for the BROWSERACT_API_KEY environment variable. If it's not set, do not take other actions; instead, request and wait for the user to provide it. Agent must inform the user: "Since you haven't configured the BrowserAct API Key, please go to the BrowserAct Console to get your Key and provide it to me here."

๐Ÿ› ๏ธ Input Parameters

When calling the script, the Agent should flexibly configure parameters based on user needs: ASIN (Amazon Standard Identification Number) Type: string Description: The unique identifier for the product on Amazon. Example: B07TS6R1SF, B08N5WRWJ6

๐Ÿš€ Usage (Recommended)

The Agent should execute the following standalone script to "get results in one line": # Example call python -u ./scripts/amazon_reviews_api.py "ASIN_HERE"

โณ Runtime Monitoring

Since this task involves automated browser operations, it may take several minutes. The script will continuously output status logs with timestamps (e.g., [14:30:05] Task Status: running). Agent Note: Keep monitoring the terminal output while waiting for results. As long as the terminal is outputting new status logs, the task is running normally; do not misjudge it as stuck or unresponsive. Only consider retrying if the status remains unchanged for a long time or the script stops outputting without returning results.

๐Ÿ“Š Output Data

After successful execution, the script will parse and print results directly from the API response. Each review item includes: Commentator: Reviewer's name Commenter profile link: Link to the reviewer's profile Rating: Star rating reviewTitle: Headline of the review review Description: Full text of the review Published at: Date the review was published Country: Reviewer's country Variant: Product variant info (if available) Is Verified: Whether it's a verified purchase

โš ๏ธ Error Handling & Retry

If an error occurs (e.g., network issues or task failure), follow this logic: Check Output: If output contains "Invalid authorization", the API Key is invalid or expired. Do not retry; guide the user to check and provide a correct API Key. If output does not contain "Invalid authorization" but the task fails (e.g., starts with Error: or returns empty results), the Agent should automatically try to re-execute the script once. Retry Limit: Automatic retry is limited to once. If the second attempt fails, stop and report the specific error to the user.

๐ŸŒŸ Typical Use Cases

Competitor Analysis: Extract reviews for competitors' products to understand their strengths and weaknesses. Product Feedback: Summarize feedback for your own products to identify areas for improvement. Market Research: Collect data on customer preferences and common complaints in a specific category. Sentiment Monitoring: Monitor recent reviews to detect shifts in customer sentiment. QA Insights: Use customer reviews to identify potential quality issues or bugs.

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs1 Scripts
  • SKILL.md Primary doc
  • scripts/amazon_reviews_api.py Scripts