This skill is designed to help users automatically extract product data from Amazon search results. The Agent should proactively apply this skill when users request searching for products related to keywords, finding best-selling items from specific brands, monitoring product prices and availability on Amazon, extracting product listings for market research, collecting product ratings and review counts for competitive analysis, finding specific products with a maximum count, searching Amazon in
SkillScore77Maintained
Automatic
◆Data Engineer pack
Last verified 8/9/2026
What it changes
Passed 15 of 19 test cases with the skill, and 6 of 19 without it.
Without skill32%
With skill77%
Checks it passed that the model alone missed
Passes "de" as the language parameter
Passes "es" as the language parameter
Passes "it" as the language parameter
and 10 more in the full report
11 fixed6 passed either way4 still failing1 broke
Pass-rate lift
+45 pp
Tokens
+48%
Agent turns
0%
Response time
-56%
Model gemini-3.6-flashMeasured 8/9/2026v117 of 22 cases passed with skill · 19 comparable
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 11
Prompt
What is the exact script file path that executes the Amazon product search workflow in this setup?
What was checked, without and with the skill
Checked
Without skill
With skill
Specifies ./scripts/amazon_product_search_api.py
Missed
Passed
case-21 · gemini-3.6-flash · 8/9/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md91 lines2 filesincludes scripts
Amazon Product Search Automation Skill
📖 Introduction
This skill provides a one-stop product data collection service through BrowserAct's Amazon Product Search API template. It directly extracts structured product results from Amazon search lists. Simply input search keywords, brand filters, and quantity limits to get clean, usable product data.
✨ Features
No Hallucinations: Pre-set workflows avoid AI generative hallucinations, ensuring stable and precise data extraction.
No Captcha Issues: No need to handle reCAPTCHA or other verification challenges.
No IP Restrictions: No need to handle regional IP restrictions or geofencing.
Faster Execution: Tasks execute faster compared to pure AI-driven browser automation solutions.
Cost-Effective: Significantly lowers data acquisition costs compared to high-token-consuming AI solutions.
🔑 API Key Setup
Before running, check the BROWSERACT_API_KEY environment variable. If not set, do not take other measures; ask and wait for the user to provide it.
Agent must inform the user:
"Since you haven't configured the BrowserAct API Key, please visit 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 (Search Keywords)
Type: string
Description: The keywords the user wants to search for on Amazon.
Example: phone, wireless earbuds, laptop stand
Brand (Brand Filter)
Type: string
Description: Filter products by brand name shown in the listing.
Example: Apple, Samsung, Sony
Maximum_date (Maximum Products)
Type: number
Description: The maximum number of products to extract across paginated search results.
Default: 50
language (UI Language)
Type: string
Description: UI language for the Amazon browsing session.
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