Amazon Reviews Scraper
by web_wanderer
Need real Amazon reviews for your market research or SEO analysis? This scraper pulls them straight from the source. I use it to gather customer feedb...
Opens on Apify.com
About Amazon Reviews Scraper
Need real Amazon reviews for your market research or SEO analysis? This scraper pulls them straight from the source. I use it to gather customer feedback across more than 20 global Amazon regions, all from one place. You can filter reviews exactly how you need to. Focus on verified purchases only, hunt for specific keywords, or sort by star rating to see the full range of opinions. It also grabs any images or videos customers post, giving you the complete picture. When the data comes in, it's clean and ready to work with. I typically export to JSON for my databases or CSV for quick spreadsheet analysis. It's become a reliable way to track product sentiment, analyze competitor weaknesses, and find those golden nuggets of customer insight that drive better decisions. Just point it at any Amazon product URL, set your filters, and let it run. It handles the rest, delivering structured review data you can actually use.
What does this actor do?
Amazon Reviews Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
Amazon Reviews Scraper Extract Amazon Product Reviews at Scale Scrape up to 500 reviews per product β ratings, verified purchases, images, variants, and more β from 20+ Amazon regions in minutes. Perfect for market research, SEO, and competitor analysis. π Start Scraping Now! --- ## π Why Choose This Scraper? ### Key Features - Up to 500 Reviews/Product: Bypass Amazonβs 100-review limit with "All Stars" mode - Global Coverage: US, UK, DE, FR, JP, MX, AE, and 15+ other regions - Precision Filters: - β Star ratings (1-5, positive/critical) - π Keywords (e.g., "battery life", "durability") - πΈ Media-only reviews (images/videos) - β
Verified purchases - Structured Data: JSON/CSV with images, variants, votes, and metadata --- ## π οΈ How It Works 1. Input: Paste ASINs or URLs (e.g., B07CMS5Q6P, https://amazon.com/dp/B000GAWSDG) 2. Configure: - Filter by stars, language, media, or verified purchases - Choose region (default: amazon.com (ASINs only)) 3. Run: Scrape 100+ reviews/minute with automatic proxy rotation 4. Download: Export to JSON, CSV, Excel, or integrate via API --- ## π Input Settings Hereβs the input table extracted and formatted for clarity: | Parameter | Type | Description | Default | Options | | ---------------------- | ------- | --------------------------------------------- | ------------ | ---------------------------------------------------- | | ASINs/URLs | Array | Amazon product IDs/URLs (supports bulk) | Required | ["B07CMS5Q6P", "https://amazon.com/dp/B000GAWSDG"] | | Pages per Product | Integer | Pages to scrape (1-10 pages = 10-100 reviews) | 10 | Min: 1, Max: 10 | | All Stars Mode | Boolean | Scrape 500+ reviews (100 per star rating) | false | true/false | | Sort By | String | Review sorting method | helpful | helpful (Top reviews), recent (Newest) | | Rating Filter | String | Filter by star rating/sentiment | all | five_star, four_star, ..., critical | | Include Keywords | Array | Filter reviews containing keywords | [] | ["battery", "durable"] | | Verified Purchases | Boolean | Only Amazon-verified reviews | false | true/false | | Media Reviews | Boolean | Only reviews with images/videos | false | true/false | | Include Variants | Boolean | Fetch reviews for all product variants | true | true/false | | Amazon Region | String | Target Amazon domain | amazon.com | 20+ regions (US, UK, DE, FR, JP, etc.) | | Language Filter | String | Filter by review language | all | en, fr, de, es, etc. | --- ## π Sample Output Every review includes: json { "reviewId": "RJAPGLEBH96Z4", "productAsin": "B09MTQTYC2", "ProductPageReview": false, "profileName": "Author", "profileId": "AGR3C5YSLEVEMJ3O7G2HQ3NLWMEQ", "profilePhoto": "https://images-eu.ssl-images-amazon.com/images/S/amazon-avatars-global/default._CR0,0,1024,1024_SX48_.png", "rating": 4.0, "verifiedPurchase": true, "vineReview": false, "reviewTitle": "LG Electronics GSXV91MCAF Side-by-Side with InstaView, Door-in-Door, with 635 L", "reviewedIn": "Reviewed in Germany on 3 January 2024", "reviewDate": "2024-01-03", "reviewText": "This is the fridge with 635 L volume. It's awesome. Meets all our expectations. The real sensation is the double-knock effect to put on the light of the right section of the fridge (the cooling part). It enables one to peep into the right section of the fridge and eventually open the built in door without having to open the main door, there saving some energy.", "language": "de", "country": "DE", "images": [], "videos": [ "https://m.media-amazon.com/images/S/vse-vms-transcoding-artifact-eu-west-1-prod/443cb116-676c-4cae-a7e1-eeb4bbdd54c8/default.vertical.jobtemplate.hls.m3u8" ], "variantSpecs": [ "Colour Name: Matt Black Metallic", "Style Name: Energy efficiency class: F", "Pattern Name: InstaView Door-in-Door" ], "variantAsin": "B09MTQTYC2", "helpfulVoteCount": 7, "reviewUrl": "https://www.amazon.de/review/RJAPGLEBH96Z4", "reviewsAISummary": "Customers like the quality, appearance, and cooling performance of the refrigerator. They mention it's a very good product that fulfills their expectations, is well-designed, and has modern cooling technology in perfection. Customers also appreciate the practicality, price, and ease of use. However, some customers have reported that the noise level is a bit too high, and they are disappointed with error messages.", "aspects": [ { "aspectName": "Quality", "aspectSentiment": "positive", "aspectMention": "14", "aspectMentionPositive": "14", "aspectMentionNegative": "0", "aspectSummary": "Customers are satisfied with the quality of the refrigerator. They mention it's a great product that fulfills their expectations. Customers also appreciate the functionality and appearance." }, { "aspectName": "Appearance", "aspectSentiment": "positive", "aspectMention": "12", "aspectMentionPositive": "12", "aspectMentionNegative": "0", "aspectSummary": "Customers like the appearance of the refrigerator. They mention it looks good and is well-designed." }, { "aspectName": "Cooling performance", "aspectSentiment": "positive", "aspectMention": "11", "aspectMentionPositive": "11", "aspectMentionNegative": "0", "aspectSummary": "Customers are satisfied with the refrigerator's cooling performance. They mention it's amazingly cool, has modern cooling technology in perfection, and the ice cube dispenser is super." }, { "aspectName": "Capacity", "aspectSentiment": "positive", "aspectMention": "8", "aspectMentionPositive": "8", "aspectMentionNegative": "0", "aspectSummary": "Customers are satisfied with the capacity of the refrigerator. They mention it has a lot of room and organization in the fridge. Customers also say the refrigerator with 635 L volume meets all their expectations and fits perfectly in their homes." }, { "aspectName": "Practicality", "aspectSentiment": "positive", "aspectMention": "3", "aspectMentionPositive": "3", "aspectMentionNegative": "0", "aspectSummary": "Customers like the practicality of the refrigerator. They mention it's easy to use and clean." }, { "aspectName": "Price", "aspectSentiment": "positive", "aspectMention": "3", "aspectMentionPositive": "3", "aspectMentionNegative": "0", "aspectSummary": "Customers are satisfied with the refrigerator's price. They mention it's very affordable." }, { "aspectName": "Noise level", "aspectSentiment": "negative", "aspectMention": "5", "aspectMentionPositive": "0", "aspectMentionNegative": "5", "aspectSummary": "Customers are dissatisfied with the noise level of the refrigerator. They mention it's a bit too noisy." }, { "aspectName": "Error messages", "aspectSentiment": "negative", "aspectMention": "3", "aspectMentionPositive": "0", "aspectMentionNegative": "3", "aspectSummary": "Customers are dissatisfied with the error messages on the refrigerator. They mention it stops cooling, the compressor breaks down, and there is a problem in the cooling system after two years of use." } ], "productTitle": "LG GSXV91MCAF, Class F, 635 L, Side-by-Side Fridge with InstaView, Total No-Frost with Freezer, Crushed Ice Water Dispenser with UV Nano, DoorCooling+, Linear Cooling, Wi-Fi, Matte Black", "productUrl": "https://www.amazon.de/dp/B09MTQTYC2", "sellerName": "LG", "sellerProfileUrl": "https://www.amazon.de/-/en/stores/LG/page/39B030F8-A07E-426F-8A62-5141367F1A6D?lp_asin=B09MTQTYC2&ref_=ast_bln&store_ref=bl_ast_dp_brandLogo_sto", "averageRating": 4.2, "totalRatings": 219, "ratingSummary": { "five_stars": 72.0, "four_stars": 10.0, "three_stars": 3.0, "two_stars": 1.0, "one_star": 14.0 }, "scrapedAt": null } --- ## π Use Cases ### Scenario 1: Competitor Analysis - Input: ["B08BHHSB6M", "B0CQKLS4RP"] (iPhone vs. Samsung models) - Filters: verified purchases, five_star, keyword "camera" - Result: Compare camera satisfaction across brands ### Scenario 2: Quality Control - Input: ["B000GAWSDG"] (Popular kitchen appliance) - Filters: one_star, keyword "defect" - Result: Identify recurring product issues --- ## βοΈ Legality & Ethics - Scrapes publicly available data only - Always comply with Amazonβs Terms of Service. --- ## β FAQs Q: How many reviews can I scrape? A: Up to 100 normally or 500+ with "All Stars" mode (100 per star rating). Q: Whatβs the cost? A: Apify Pricing β test with 1 product first! Q: Can I scrape Amazon Japan? A: Yes! Supports 20+ regions including amazon.co.jp. --- ## π Integrations - Automate: Zapier/Make workflows for daily review monitoring - Analyze: Pipe data to Power BI/Tableau via webhooks - Act: Trigger Slack alerts for negative reviews Explore All Integrations --- ## Changelog - Version 0.1: Initial release with basic scraping and checking functionalities. ## Support Please contact us through the Apify platform for any questions or issues.
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try Amazon Reviews Scraper now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- web_wanderer
- Pricing
- Paid
- Total Runs
- 88,459
- Active Users
- 563
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