🏪 Amazon Seller Review Scraper – Seller Feedback Extractor Extract seller reviews and feedback from Amazon sellers in seconds. Get detailed seller review data including ratings, comments, author information, response status, review dates, and more from 24+ Amazon marketplaces worldwide. Perfect for seller reputation analysis, customer feedback monitoring, and competitive intelligence. --- ## 📋 Table of Contents - ✨ Features - 🎯 Use Cases - ⚡ Quick Start - 📊 Input Parameters - 📤 Output Format - 🌐 Supported Marketplaces - ❓ FAQ --- ## ✨ Features - 🆔 Seller ID-Based Extraction – Extract reviews for any Amazon seller using their Seller ID - ⭐ Complete Review Data – Get ratings, comments, dates, and author details - 💭 Response Status – See if the seller responded to reviews - 🌍 Global Coverage – Supports 24+ Amazon marketplaces worldwide - �️ Multi-Language – Extract reviews in 35+ languages - 🔍 Star Rating Filter – Filter by specific ratings (1-5 stars, positive, critical, or all) - 📄 Pagination Support – Scrape multiple pages of seller reviews - ⚡ Fast & Reliable – Built-in retry logic and error handling - 📊 Clean Table View – Organized, easy-to-read data output --- ## 🎯 Use Cases | Use Case | Description | |----------|-------------| | 📊 Seller Reputation Analysis | Monitor seller performance and customer satisfaction levels | | 🏆 Competitive Intelligence | Track competitor seller ratings and customer feedback | | 💬 Customer Insights | Understand what customers say about seller service quality | | 📈 Trend Monitoring | Track seller review trends over time | | 🤖 Data Pipelines | Feed structured seller review data to your systems | --- ## ⚡ Quick Start ### 1️⃣ Basic – Single Seller Reviews json { "seller_id": "A2AWKZBCPMNLY2", "country": "US", "star_rating": "ALL", "max_pages": 1 } ### 2️⃣ Advanced – Filter by Star Rating json { "seller_id": "A2AWKZBCPMNLY2", "country": "US", "star_rating": "5_STARS", "max_pages": 5 } ### 3️⃣ Multi-Page – Get More Reviews json { "seller_id": "A2AWKZBCPMNLY2", "country": "GB", "star_rating": "CRITICAL", "max_pages": 10 } --- ## 📊 Input Parameters | Parameter | Type | Required | Description | Default | Example | |-----------|------|----------|-------------|---------|---------| | seller_id | String | ✅ Yes | Amazon Seller ID (alphanumeric identifier) | - | "A2AWKZBCPMNLY2" | | country | String | ❌ No | Amazon marketplace country code | "US" | "US", "GB", "DE", "IN", "JP" | | language | String | ❌ No | Language for review content | Auto (marketplace default) | "en_US", "de_DE", "fr_FR" | | star_rating | String | ❌ No | Filter reviews by star rating | "ALL" | "ALL", "5_STARS", "POSITIVE", "CRITICAL" | | max_pages | Integer | ❌ No | Maximum pages to scrape (1-20) | 1 | 1, 5, 10, 20 | ### 🆔 How to Find Seller ID The Seller ID is a unique alphanumeric identifier for every Amazon seller. You can find it: 1. On Product Page: Look for "Sold by" section → Click seller name → Check URL 2. In Seller Profile URL: amazon.com/sp?seller=A2AWKZBCPMNLY2 → Seller ID is A2AWKZBCPMNLY2 3. In Order Details: Check your order history for seller information Seller ID Format: Uppercase letters and numbers (e.g., A2AWKZBCPMNLY2) ### ⭐ Star Rating Filter Options | Filter | Description | |--------|-------------| | ALL | All reviews regardless of rating | | 5_STARS | Only 5-star reviews | | 4_STARS | Only 4-star reviews | | 3_STARS | Only 3-star reviews | | 2_STARS | Only 2-star reviews | | 1_STARS | Only 1-star reviews | | POSITIVE | Positive reviews (4-5 stars) | | CRITICAL | Critical reviews (1-3 stars) | --- ## 📤 Output Format ### 🧾 Seller Review Data Structure json { "source": "amazon_seller_reviews", "seller_id": "A2AWKZBCPMNLY2", "country": "US", "domain": "www.amazon.com", "page": 1, "review_author": "Vicki Nester", "review_comment": "Item ordered received in timely manner and item is as described by seller", "review_star_rating": 5, "has_response": false, "review_date": "December 1, 2025", "scraped_at": "2025-12-03T16:08:45.123Z" } ### 📋 Output Fields Explained | Field | Type | Description | |-------|------|-------------| | source | String | Always "amazon_seller_reviews" | | seller_id | String | Amazon Seller ID | | country | String | Marketplace country code (e.g., "US", "GB") | | domain | String | Amazon domain (e.g., "www.amazon.com") | | page | Integer | Page number where review was found | | review_author | String | Reviewer's display name | | review_comment | String | Full review text/comment | | review_star_rating | Integer | Star rating (1 to 5) | | has_response | Boolean | true if seller responded, false otherwise | | review_date | String | Review date text | | scraped_at | String | Timestamp when data was scraped (ISO 8601) | --- ## 🌐 Supported Marketplaces This actor supports 24 Amazon marketplaces across the globe: | Region | Country | Code | |--------|---------|------| | 🇺🇸 North America | United States | US | | 🇨🇦 | Canada | CA | | 🇲🇽 | Mexico | MX | | 🇧🇷 | Brazil | BR | | 🇬🇧 Europe | United Kingdom | GB | | 🇩🇪 | Germany | DE | | 🇫🇷 | France | FR | | 🇮🇹 | Italy | IT | | 🇪🇸 | Spain | ES | | 🇳🇱 | Netherlands | NL | | 🇵🇱 | Poland | PL | | 🇸🇪 | Sweden | SE | | 🇧🇪 | Belgium | BE | | 🇹🇷 | Turkey | TR | | 🇮🇪 | Ireland | IE | | 🇯🇵 Asia Pacific | Japan | JP | | 🇮🇳 | India | IN | | 🇨🇳 | China | CN | | 🇸🇬 | Singapore | SG | | 🇦🇺 | Australia | AU | | 🇦🇪 Middle East & Africa | UAE | AE | | 🇸🇦 | Saudi Arabia | SA | | 🇪🇬 | Egypt | EG | | 🇿🇦 | South Africa | ZA | --- ## ❓ FAQ ### Q: What is a Seller ID? A: Seller ID is a unique alphanumeric code assigned to every Amazon seller. You can find it in the seller's profile URL or on product pages in the "Sold by" section. ### Q: How many reviews can I scrape? A: Each page typically contains 5 seller reviews. You can scrape up to 20 pages (100 reviews) per run using the max_pages parameter. ### Q: Which marketplaces are supported? A: 24 marketplaces including US, UK, Germany, India, Japan, France, Italy, Spain, Canada, Brazil, Australia, and more. ### Q: Can I filter reviews by rating? A: Yes! Use the star_rating parameter to filter by specific ratings (1-5 stars), positive reviews (4-5 stars), or critical reviews (1-3 stars). ### Q: What if the Seller ID is invalid? A: The actor will immediately exit with an error message. Make sure the Seller ID is correct and exists on the selected marketplace. ### Q: Do I get seller response information? A: Yes! The has_response field indicates whether the seller responded to the review. ### Q: How do I export the data? A: After the actor completes, you can download data in JSON, CSV, Excel, or HTML format from the Apify Dataset. ### Q: Can I integrate this with other tools? A: Yes! Use Apify's integrations with Make.com, Zapier, n8n, or connect via API to your own systems. ### Q: How fast is the scraping? A: Very fast! Reviews are extracted in seconds using direct API access. --- ## 🚀 Get Started Now Ready to extract Amazon seller reviews? 1. 🆔 Enter the Seller ID (e.g., A2AWKZBCPMNLY2) 2. 🌍 Select the Amazon marketplace (e.g., US, GB, DE) 3. ⭐ Choose star rating filter (e.g., ALL, 5_STARS, CRITICAL) 4. 📄 Set max pages to scrape (1-20) 5. ▶️ Click Start to run the actor 6. 📥 Download your data in JSON, CSV, Excel, or HTML format 7. Click "Try for free" to test the actor ⭐ If this actor helps your workflow, please give it a star! ## 📚 Related Actors Looking for more Amazon data? Check out these complementary actors: - Amazon Product Details Scraper - Amazon Search Scraper - Amazon Product Review Extractor --- Built with ❤️ using Apify Platform | Optimized for Speed, Reliability & Data Quality