amazon-competitor-analyzer
This skill automates competitive analysis on Amazon by scraping product data from ASINs through browser automation and comparing specifications, pricing, reviews, and market positioning. Use it when researching competitor landscapes, benchmarking product features and pricing strategies, analyzing review patterns and sentiment, or identifying market gaps and competitive vulnerabilities across multiple products simultaneously.
git clone --depth 1 https://github.com/browser-act/skills /tmp/amazon-competitor-analyzer && cp -r /tmp/amazon-competitor-analyzer/solutions/ecommerce/amazon-competitor-analyzer ~/.claude/skills/amazon-competitor-analyzerSKILL.md
# Amazon Competitor Analyzer This skill scrapes Amazon product data from user-provided ASINs using browseract.com's browser automation API and performs deep competitive analysis. ## When to Use This Skill - Competitive research: Input multiple ASINs to understand market landscape - Pricing strategy analysis: Compare price bands across similar products - Specification benchmarking: Deep dive into technical specs and feature differences - Review insights: Analyze review quality, quantity, and sentiment patterns - Market opportunity discovery: Identify gaps and potential threats ## What This Skill Does 1. **ASIN Data Collection**: Extract product title, price, rating, review count, images 2. **Specification Extraction**: Deep extraction of technical specs, features, and materials 3. **Review Quality Analysis**: Analyze review patterns, keywords, and sentiment 4. **Multi-Dimensional Comparison**: Side-by-side comparison of key metrics 5. **Moat Identification**: Identify core competitive advantages and barriers 6. **Vulnerability Discovery**: Find competitor weaknesses and market opportunities ## Features 1. **Stable and accurate data extraction**: Pre-set workflows ensure consistent results. 2. **Browser automation**: Uses BrowserAct's automated browser instances for reliable data collection. 3. **Global accessibility**: BrowserAct provides servers in multiple regions. 4. **Fast execution**: Optimized workflow templates complete tasks quickly. 5. **Cost efficient**: Reduces manual research time and associated costs. ## Prerequisites ### BrowserAct.com Account Setup You need a BrowserAct.com account and API key: 1. Visit [browseract.com](https://browseract.com) 2. Sign up for an account 3. Navigate to [API Settings](https://www.browseract.com/reception/integrations) 4. Generate an API key ### Environment Configuration Copy the `.env.example` file to `.env` and add your API key: ```bash cp .env.example .env # Edit .env and replace YOUR_API_KEY_HERE with your actual API key ``` Or set as environment variable: ```bash export BROWSERACT_API_KEY="your-api-key-here" ``` ## Usage ### Basic Analysis ```bash python amazon-competitor-analyzer/amazon_competitor_analyzer.py B09G9GB4MG ``` ### Multiple Products ```bash python amazon-competitor-analyzer/amazon_competitor_analyzer.py B09G9GB4MG B07ABC11111 B08N5WRWNW ``` ### With Output Directory ```bash python amazon-competitor-analyzer/amazon_competitor_analyzer.py B09G9GB4MG -o ./output ``` ### Output Formats - **CSV**: Structured data table - **Markdown**: Comprehensive report - **JSON**: Raw data with analysis ## Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | asins | string | - | One or more Amazon ASINs to analyze | | --output, -o | string | ./output | Output directory | | --format | string | all | Output format (csv/markdown/json/all) | | --api-key | string | env | BrowserAct API key | ## Dependencies This skill requires the following Python packages: ```bash pip install requests ``` Optional (for automatic .env loading): ```bash pip install python-dotenv ``` ## Environment Variables | Variable | Required | Description | |----------|----------|-------------| | BROWSERACT_API_KEY | Yes | Your BrowserAct API key. Get it from [BrowserAct Console](https://www.browseract.com/reception/integrations) | ## Error Handling - **Invalid API Key**: Check BROWSERACT_API_KEY environment variable - **Network Error**: Verify internet connection - **Rate Limit**: Wait and retry with exponential backoff - **Invalid ASIN**: Verify ASIN format (10 alphanumeric characters) --- **Version**: 1.0.0 **Updated**: 2026-02-09 **Template ID**: `77814333389670716`
Extracts comprehensive wholesale product data from 1688.com product detail pages: title, tiered pricing, SKU variants with dimensions/weight, product images, seller info, shop scores, buyer protection, cross-border flags, product attributes, coupon/promotion data, and review stats. Use when user mentions 1688, 1688.com, wholesale China, alibaba wholesale, B2B China sourcing, Chinese wholesale scraper, 1688 product scrape, 1688 offer, 1688 detail, extract 1688 data, pull 1688 listings, get wholesale price, 1688 supplier info, factory stats 1688, 1688 SKU variants, 1688 product attributes, 1688 shop score, DSR score 1688, 1688 buyer protection, 1688 cross-border, 1688 dropship. Also applies to: scraping bulk product data from 1688 by offer ID list, monitoring 1688 supplier metrics, extracting 1688 pricing tiers for resale analysis.
Fetches complete Airbnb listing details for a given numeric listing ID via the internal GraphQL API, returning title, room type, description, amenities, photos, coordinates, city, house rules, highlights, ratings, review count, bedroom configuration, and property overview. Use when user mentions Airbnb listing details, Airbnb property info, Airbnb room details, get Airbnb listing data, Airbnb amenities list, Airbnb house rules, Airbnb property description, Airbnb detail page scraper, Airbnb rooms detail, Airbnb property page data, Airbnb listing info, fetch Airbnb room details, pull Airbnb listing.
Extracts Airbnb accommodation search results from a destination query via SSR-embedded data, returning listing ID, URL, name, coordinates, rating, price, photos, and badge info for each result, plus pagination cursors for multi-page retrieval. Use when user mentions Airbnb search results, Airbnb listings, vacation rental search, short-term rental listings, scrape Airbnb, get Airbnb data, find rentals on Airbnb, Airbnb destination search, Airbnb property list, Airbnb stays search, Airbnb accommodation results, pull Airbnb listings, collect Airbnb search data, Airbnb scraper, Airbnb search page extraction, Airbnb search by destination.
Amazon Alexa for Shopping Q&A automation: submits questions to Amazon's Alexa/Rufus AI shopping assistant and collects response text; supports optional keyword search context (navigate to search results page before asking for category-specific answers). Use when user mentions Amazon Alexa, Rufus, Amazon shopping assistant, Amazon AI chat, ask Amazon, Amazon Q&A, automate Alexa questions, Rufus chatbot, Amazon assistant automation, collect Alexa responses, bulk question submission to Amazon, keyword search context, category research. Also applies to extracting Amazon product recommendations from conversational AI, automating repeated queries to Amazon's AI shopping feature, collecting Alexa shopping responses at scale, or market research within a specific product category.
This skill helps users extract structured product details from Amazon using a specific ASIN (Amazon Standard Identification Number). Use this skill when the user asks to get Amazon product details by ASIN, lookup Amazon product title and price using ASIN, extract Amazon product ratings and reviews count for a specific ASIN, check Amazon product availability and current price, get Amazon product description and features via ASIN, enrich product catalog with Amazon data using ASIN, monitor Amazon product price changes for specific ASINs, retrieve Amazon product brand and material information, fetch Amazon product images and specifications by ASIN, validate Amazon ASIN and get product metadata.
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.
Amazon Best Sellers listing scraper: extract product cards from any Amazon Best Sellers (zgbs) or /gp/bestsellers/ category page — returns rank (position on chart), asin, title, url, image, imageAlt, price, stars, reviewCount, ratingRaw per item, plus category metadata (categoryName, categoryFullName, categoryUrl) and pagination state (currentPage, hasNextPage, nextPageUrl). Works across all Amazon regional TLDs (amazon.com, amazon.co.uk, amazon.de, amazon.co.jp, amazon.fr, amazon.it, amazon.es, amazon.ca, amazon.com.au, amazon.in, etc.). Use when user mentions Amazon Best Sellers, Amazon bestsellers, Amazon top 100, Amazon zgbs, Amazon /zgbs/, Amazon /gp/bestsellers/, Amazon Best Sellers Rank, Amazon BSR, Amazon top ranked products, Amazon top-selling products, Amazon chart, Amazon category ranking, Amazon best sellers by category, Amazon best sellers electronics, Amazon best sellers kitchen, Amazon best sellers toys, scrape Amazon bestsellers, extract Amazon top 100, Amazon rank scraper, Amazon best seller list, Amazon leaderboard, Amazon trending products, discover trending Amazon products, Amazon niche discovery, Amazon top ranked ASINs. Also applies to competitive intelligence via ranking snapshots, spotting up-and-coming products, sourcing bestseller ASINs for further enrichment, tracking rank changes over time, and building bestseller-per-category datasets.
This skill helps users extract basic product details other sellers prices and seller ratings from Amazon via ASIN automatically using the BrowserAct API. Agent should proactively apply this skill when users express needs like query Amazon buy box information, monitor Amazon product prices, extract Amazon product details by ASIN, check other sellers prices on Amazon, get Amazon seller ratings and feedback count, monitor buy box ownership for a specific ASIN, track Amazon fulfillment methods for competitors, compare Amazon product prices across different sellers, retrieve Amazon buy box availability status, analyze Amazon seller profile details.