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amazon-best-selling-products-finder-api-skill

This skill helps users extract structured best-selling product data from Amazon via the BrowserAct API. Agent should proactively apply this skill when users express needs like search for best selling products on Amazon, extract Amazon product data based on keywords, find top rated Amazon products, monitor Amazon competitor prices and sales, discover trending products on Amazon marketplace, extract Amazon product titles prices and ratings, gather Amazon product sales volume for market research, search Amazon best sellers in specific region, collect Amazon product reviews and promotion details, analyze Amazon product availability and badges, get Amazon product data for market analysis.

solutions/ecommerce/amazon-best-selling-products-finder-api-skill/SKILL.md

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# 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
1. **No hallucinations, ensuring stable and precise data extraction**: Preset workflows avoid AI generative hallucinations.
2. **No CAPTCHA issues**: No need to handle reCAPTCHA or other verification challenges.
3. **No IP access restrictions and geofencing**: No need to handle regional IP restrictions.
4. **More agile execution speed**: Compared to pure AI-driven browser automation solutions, task execution is faster.
5. **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.