Amazon Reviews Automation Extraction Skill

"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."

🛠️ Input Parameters

When calling the script, the Agent should flexibly configure parameters based on user needs:

1. ASIN (Amazon Standard Identification Number)
   • Type: string
   • Description: The unique identifier for the product on Amazon.
   • Example: B07TS6R1SF, B08N5WRWJ6

🚀 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"

⏳ 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.

📊 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

⚠️ Error Handling & Retry

If an error occurs (e.g., network issues or task failure), follow this logic:

1. 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.

2. Retry Limit:

   • Automatic retry is limited to once. If the second attempt fails, stop and report the specific error to the user.

🌟 Typical Use Cases

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

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