Amazon Reviews Scraper with Advanced Filters 🚀

​Efficiently scrape thousands of Amazon reviews from any ASIN or URL across 17 global marketplaces​. Use advanced filters for ratings, keywords, verified purchases, media type, and more—including the new AI-powered review summary—to ​extract precise customer insights​.

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🌟 Key Features

• AI-Powered Review Summaries Instantly get a high-level overview with Amazon's official AI-generated summaries.

  • CustomersSay: A concise paragraph summarizing overall customer sentiment.
  • ReviewAspects: A detailed sentiment breakdown by product feature (e.g., "Battery life," "Quality") with positive/negative counts.

• Maximized Review Collection Capture 1,000+ reviews from a single ASIN by leveraging advanced filtering options, allowing you to get a complete picture of customer sentiment.

• Global Marketplace Support Extract reviews from 17 Amazon marketplaces including US, UK, Germany, Japan, India, and more

• Flexible Filtering Options Choose your filters to refine your data and extract reviews based on specific criteria:

  • Sort by date : Newest first, oldest first, etc.
  • Filter by verified purchase : Collect only reviews from verified buyers.
  • Filter by ratings : Gather reviews based on star ratings (e.g., only 5-star or 1-star).
  • Filter by media type : Choose reviews with specific content types (e.g., images or videos).
  • Filter by Keywords : Capture reviews containing specific phrases (case-sensitive). Only retains reviews with at least one matching keyword.

• Unique Only Option Avoid duplicate data with the new unique_only parameter, ensuring a clean and reliable dataset.

• Comprehensive Review Data Get detailed insights with rich review data, including:

  • PageUrl : Direct link to the review page.
  • ProductLink : URL of the Amazon product.
  • ASIN : Amazon Standard Identification Number.
  • Brand : The product’s brand name.
  • ProductTitle : Name of the reviewed product.
  • ParentId : Identifier for the parent review (if applicable).
  • ReviewDate : Date of the review.
  • Images : Image URLs shared in the review.
  • ReviewScore : Rating given by the reviewer (1-5 stars).
  • RatingTypeTotalReviews : Total number of reviews under the selected star rating filter (e.g. 5-star reviews when filtered by five_star).
  • Reviewer : Name of the reviewer.
  • ReviewTitle : Title of the review.
  • ReviewContent : Full text of the review.
  • Verified : Whether the review was from a verified purchase.
  • Variant : Product variant details (e.g., size, color, etc.).
  • VariantASIN : Specific ASIN identifier for the product variant being reviewed.
  • HelpfulCounts : Number of users who found the review helpful.
  • CustomersSay (NEW): The AI-generated summary of overall customer sentiment.
  • ReviewAspects: A list of AI-generated analyses of specific product aspects.

• Efficient & Scalable Powered by Apify's infrastructure, this scraper ensures fast, reliable data extraction , handling large datasets effortlessly.

• Multiple Output Formats Export your results in JSON , CSV , or integrate directly into your data pipelines.

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🧐 What Problems Can It Solve? (Use Cases)

This tool is designed for teams that need deep customer insights:

• 📈 Market Research & Sentiment Analysis Aggregate thousands of reviews to understand what customers really think. Instantly leverage the CustomersSay and ReviewAspects AI summaries to spot major pros and cons without reading single reviews. Quickly identify fatal flaws by filtering for "1-star" or "critical" reviews.
• ⚖️ Competitor Benchmarking Analyze your competition's review velocity, average rating, and most frequently mentioned pros and cons. Find out the real reason they get 5-star reviews and apply those insights to your own products.
• 💡 Discover New Product Opportunities Scrape all reviews in a category and filter by keywords like "wish it had..." or "missing..." to uncover unmet customer needs and find inspiration for your next best-selling product.
• 🤖 Build AI & ML Models Generate massive, high-quality, pre-labeled datasets (review text + star rating) to train your own sentiment analysis models, customer service chatbots, or keyword extractors.

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📝 Example Output

{
    "PageUrl": "https://www.amazon.com/product-reviews/B07ZPKN6YR?sortBy=helpful&reviewerType=avp_only_reviews&filterByStar=five_star&mediaType=media_reviews_only&pageNumber=1&language=en_US",
    "ProductLink": "https://www.amazon.com/dp/B07ZPKN6YR",
    "ASIN": "B07ZPKN6YR",
    "Brand": "Amazon Renewed",
    "ProductTitle": "Apple iPhone 11, 64GB, Black - Unlocked (Renewed)",
    "ReviewId": "R19WIC5AMSJF0M",
    "ReviewDate": "2025-3-2",
    "Images": [
        "https://m.media-amazon.com/images/I/61MOnzVFMBL.jpg",
        "https://m.media-amazon.com/images/I/71EZkNcjVZL.jpg"
    ],
    "ReviewScore": "5.0",
    "RatingTypeTotalReviews": "769 matching customer reviews",
    "Reviewer": "Tiffany",
    "ReviewerProfileUrl": "https://www.amazon.com/gp/profile/amzn1.account.AHZT3I4W5XOOQUJT45UHOZZC3CFA/ref=cm_cr_arp_d_gw_btm",
    "ReviewerId": "AHZT3I4W5XOOQUJT45UHOZZC3CFA",
    "ReviewUrl": "https://www.amazon.com/gp/customer-reviews/R19WIC5AMSJF0M/ref=cm_cr_arp_d_rvw_ttl",
    "ReviewTitle": "So far so great, thank you.",
    "ReviewContent": "So far so great, I’ve been using this phone from Dec  2024 to present….the battery health came at 81% wasn’t good but it was a win because I purchased a iPhone 11 Pro Max with 95% that died 12 days in and I had a bad experience with another company and it was hell to return but eventually I got my refund. This seller shipped within 24 hours and it arrived within 48 hrs. I did my research and found the iPhone 11 is one of the most affordable and reliable 11 models so I took a chance and got  it over the iPhone XR because I really needed a phone that was higher than my iPhone 6 Plus that I had for 6 years. It came brand new, no scratches. Thank you. You should definitely get it.",
    "Verified": "True",
    "Variant": [
        "Size: 64GB",
        "Color: Black",
        "Service provider: Unlocked",
        "Product grade: Renewed"
    ],
    "VariantASIN": "B07ZPKN6YR",
    "HelpfulCounts": "2 people found this helpful",
    "CustomersSay": "Customers find the iPhone works like new and appreciate its pristine condition, beautiful appearance, and good value for money. The battery life receives mixed feedback, with some reporting 100% capacity while others experience low performance. Similarly, customers disagree on the phone's condition, with some noting no scratches while others mention visible marks. The phone's power performance is concerning, with reports of it shutting down completely and stopping after three months of use.",
    "ReviewAspects": [
        {
            "aspect_name": "Phone functionality",
            "positiv": "1,522",
            "negativ": "622",
            "aspect-summary": "Customers are satisfied with the phone's functionality, reporting that it works like new and has no issues."
        },
        {
            "aspect_name": "Phone quality",
            "positiv": "1,505",
            "negativ": "275",
            "aspect-summary": "Customers find the phone to be of good quality."
        },
        {
            "aspect_name": "Phone condition",
            "positiv": "973",
            "negativ": "106",
            "aspect-summary": "Customers are satisfied with the phone's condition, describing it as excellent, pristine, and in great shape."
        },
        {
            "aspect_name": "Value for money",
            "positiv": "809",
            "negativ": "174",
            "aspect-summary": "Customers find the phone to be a great value for the price."
        },
        {
            "aspect_name": "Looks great",
            "positiv": "528",
            "negativ": "23",
            "aspect-summary": "Customers appreciate the phone's appearance, noting that it looks brand new and immaculate."
        },
        {
            "aspect_name": "Battery life",
            "positiv": "734",
            "negativ": "852",
            "aspect-summary": "Customers have mixed experiences with the phone's battery life, with some reporting 100% capacity while others mention low performance and charging issues."
        },
        {
            "aspect_name": "Scratches",
            "positiv": "569",
            "negativ": "768",
            "aspect-summary": "Customers have mixed experiences with scratches on the phone, with some reporting no issues while others mention visible marks."
        },
        {
            "aspect_name": "Phone power",
            "positiv": "67",
            "negativ": "589",
            "aspect-summary": "Customers report multiple issues with the phone's power: it completely shuts down, turns off randomly, stops working after three months, and experiences glitches."
        }
    ]
}

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🚀 Getting Started

• ​Add Actor​: Click the "Try for free" button to add this Actor to your Apify account.
• ​Add Input​: Enter one or more Amazon ASINs or product URLs in the ASIN or Product URL field.
• ​Set Filters (Optional): Select the country you want to scrape, filter by keywords, or choose specific star ratings.
• ​Run & Get Data​: Click "Start" and wait for the Actor to finish. You can download your review data in JSON, CSV, or Excel format from the "Storage" tab.

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🛠️ Input Configuration

The following parameters can be customized:

• ASIN (Required): The Amazon Standard Identification Number of the product.
• get_customers_say (Default: true): Toggle to scrape the CustomersSay and ReviewAspects AI summary fields.
• sort_reviews_by : Sort reviews by date, helpfulness, etc.
• filter_by_verified_purchase_only : Choose whether to filter only verified purchases.
• filter_by_ratings : Select specific ratings (e.g., 5-star or 1-star reviews).
• filter_by_mediaType : Filter reviews based on media type (images/videos).
• unique_only : Avoid collecting duplicate reviews.
• filter_by_keywords : Enter case-sensitive keywords to collect matching reviews (e.g., "durable", "fast shipping").

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🔑Related Actors

Looking for more?😊 Check out my other Amazon scraping solutions:

1. Amazon Product Data Scraper - Quickly extract comprehensive product details from Amazon listings using keywords or custom URLs! Gather essential info like ASIN, price, ratings, variants, availability, and more. Perfect for market research, competitor analysis, and e-commerce insights.
2. Amazon Product Details Scraper - Efficiently extract comprehensive product information from Amazon using ASINs or product URLs! Gather key details like title, price, ratings, description, availability, and more in seconds. Ideal for market analysis, price tracking, and competitor insights. Fast, reliable, and easy to use for e-commerce and research projects! 🚀

💬 Support and Feedback

Need help or have suggestions? Reach out to us via Apify support channels or leave feedback directly on the Actor’s page.

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🔍Tags

AmazonScraper, ReviewScraper, MarketResearch, SentimentAnalysis, ProductFeedback, AmazonReviews, DataCollection, Ecommerce, Apify

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