Install
$ agentstack add skill-browser-act-skills-amazon-best-selling-products-finder-api-skill ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Amazon Best Selling Products Finder API Skill
📖 Skill Introduction
This skill provides users with a one-stop product data extraction service using the BrowserAct Amazon Best Selling Products Finder API template. It can directly extract structured best-selling product data from Amazon. By inputting search keywords, data limit, and marketplace URL, you can easily get clean and usable product data including titles, prices, ratings, reviews, sales volume, and promotional details.
✨ Features
- No hallucinations, ensuring stable and precise data extraction: Preset workflows avoid AI generative hallucinations.
- No CAPTCHA issues: No need to handle reCAPTCHA or other verification challenges.
- No IP access restrictions and geofencing: No need to handle regional IP restrictions.
- More agile execution speed: Compared to pure AI-driven browser automation solutions, task execution is faster.
- Extremely high cost-effectiveness: Significantly reduces data acquisition costs compared to AI solutions that consume a large number of Tokens.
🔑 API Key Guide Flow
Before running, first check the BROWSERACT_API_KEY environment variable. If it is not set, do not take other actions; require and wait for the user to collaborate to provide it. The Agent must inform the user at this time: > "Since you have not configured the BrowserAct API Key yet, please go to the BrowserAct Console to get your Key."
🛠️ Input Parameters
When calling the script, the Agent should flexibly configure the following parameters based on user needs:
- KeyWords
- Type:
string - Description: Search keywords used to find Amazon products.
- Example:
iphone 17 pro max,gaming mouse,running shoes
- Date_limit
- Type:
number - Description: Maximum number of products to extract.
- Default:
10 - Recommendation: Set to a lower number for quick checks, or higher for comprehensive analysis.
- Marketplace_url
- Type:
string - Description: Amazon marketplace URL for region-specific searches.
- Default:
https://www.amazon.com - Example:
https://www.amazon.co.uk,https://www.amazon.de
🚀 Call Method (Recommended)
The Agent should execute the following standalone script to achieve "one command to get results":
# Call example
python -u ./scripts/amazon_best_selling_products_finder_api.py "search keywords" limit "marketplace_url"
⏳ Running Status Monitoring
Since this 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) during execution. Agent notice:
- While waiting for the script to return the result, please keep an eye on the terminal output.
- As long as the terminal is still outputting new status logs, it means the task is running normally. Please do not mistakenly judge it as a deadlock or unresponsive.
- 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
After successful execution, the script will parse and print the result directly from the API response. The result contains:
title: Product titlebrand: Brand namelist_price: Original list pricecurrent_price: Current selling pricestar_rating: Average star ratingreview_count: Total review countpast_month_sales: Sales volume in the past monthavailability: Stock statuspromotion: Promotional offersasin: Amazon Standard Identification Numbercategory: Product categorybadge: Badges like Amazon's Choiceproduct_url: Direct link to the product
⚠️ 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:
- 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 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 withError:or the returned result is empty), the Agent should automatically try to execute the script again once.
- 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
- Market Research: Extract product listings and ratings to analyze the current market for specific keywords.
- Competitor Analysis: Monitor competitor pricing, discounts, and sales volume over time.
- Trending Products Discovery: Find the best-selling and highly rated products within a specific category.
- Price Monitoring: Track current prices and list prices to optimize purchasing strategies.
- Cross-Region Analysis: Compare product availability and pricing across different Amazon marketplaces.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: browser-act
- Source: browser-act/skills
- License: MIT
- Homepage: https://www.browseract.com/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.