Etsy Review Scraper

# Etsy Review Scraper Actor The Etsy Review Scraper Actor enables you to extract detailed review data from any Etsy shop based on shop name keywords. This tool collects comprehensive buyer feedback, ratings, and product information, which can be downloaded in HTML, JSON, CSV, Excel, or XML formats. ## DataSet provided by this etsy crawler | 🧾 receipt_id | 👤 buyer_login_name | 🙍‍♀️ buyer_real_name | |------------------------|-----------------------------|------------------------------| | 📅 date | 🏷️ listing_title | 🖼️ listing_image_url | | 💬 listing_review | 🛍️ response | ⭐ rating | ## Input Configuration The actor accepts two simple parameters: json { "limit": 14, // Number of reviews to collect "shop_name_keyword": "MyriadMelodies" // Target Etsy shop name } ## Output Data Structure The scraper returns detailed review data in a structured JSON format: json { "receipt_id": 3466645038, // Unique transaction identifier "buyer_login_name": "vickiedwards7", // Reviewer's username "listing_title": "Melody Chimes...", // Full product title "listing_review": "Beautiful sound...", // Review content "response": null, // Shop owner's response (if any) "rating": 5 // Product rating (1-5 stars) } ## Key Data Points Collected 1. Transaction Information - Unique receipt ID - Buyer username - Product details 2. Review Content - Full review text - Star rating - Seller response (when available) 3. Product Information - Complete listing title - Product category context - Purchase verification ## Use Cases ### Shop Analysis - Track customer satisfaction - Monitor product performance - Analyze buying patterns - Identify popular items ### Market Research - Analyze competitor reviews - Track pricing feedback - Study customer preferences - Monitor market trends ### Customer Insights - Understand buyer preferences - Track product satisfaction - Identify improvement areas - Analyze customer sentiment ### Business Intelligence - Generate sales insights - Track review patterns - Monitor brand reputation - Analyze product feedback ## Features 1. Comprehensive Data Collection - Complete review texts - Verified purchase information - Buyer details - Rating data 2. Flexible Configuration - Adjustable review limits - Shop name targeting - Date range filtering - Rating filtering 3. Data Processing - Review aggregation - Rating analysis - Sentiment detection - Response tracking ## Best Practices 1. Query Optimization - Use exact shop names - Set appropriate limits - Consider rate limits - Respect platform guidelines 2. Data Collection - Regular updates - Consistent monitoring - Historical tracking - Pattern analysis ## Legal Considerations This scraper collects publicly available Etsy data. Users should: - Comply with Etsy's terms of service - Handle personal data according to GDPR and local regulations - Use data ethically and responsibly - Seek legal counsel for specific use cases ## Technical Details - Automatic rate limiting - Error handling - Data validation - Response parsing - Shop verification - Review deduplication ## Output Formats Download your data in multiple formats: - JSON: Structured data for programming - CSV: Spreadsheet analysis - Excel: Business reporting - HTML: Web presentation - XML: System integration ## Performance Features 1. Reliable Data Collection - Automatic retry mechanism - Error recovery - Rate limit compliance - Data validation 2. Efficient Processing - Parallel processing - Memory optimization - Quick response times - Scalable architecture ## Support and Maintenance The actor is regularly updated to ensure: - Compatibility with Etsy's platform - Optimal performance - Data accuracy - Feature enhancements For support, customization requests, or questions, contact our team through the Apify platform. ## Common Applications 1. Market Analysis - Product performance tracking - Competition monitoring - Price point analysis - Customer satisfaction metrics 2. Customer Service - Response rate tracking - Issue identification - Service improvement - Customer engagement 3. Product Development - Feature feedback analysis - Quality monitoring - Product improvement insights - Customer needs assessment 4. Marketing Strategy - Customer testimonial collection - Social proof gathering - Product positioning analysis - Marketing message refinement