Amazon Reviews Scraper with Advanced Filters 🚀

Efficiently collect up to 10,000+ reviews for any ASIN with powerful filtering options! This actor helps you gather high-quality, targeted review data from Amazon with advanced filtering, ensuring precise and comprehensive results for market analysis, sentiment insights, and product feedback.

---

🌟 Key Features

• Maximized Review Collection Capture 10,000+ reviews from a single ASIN by leveraging advanced filtering options, allowing you to get a complete picture of customer sentiment.
• 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).
  • 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.).
  • HelpfulCounts : Number of users who found the review helpful.
• 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.

---

🔥 How It Works

• Input ASIN : Provide the ASIN of the Amazon product you want to collect reviews for.
• Run the Actor : Start the scraper with your desired filter settings.
• Retrieve Data : Once the process is complete, download your data in your preferred format.

---

🛠️ Input Configuration

The following parameters can be customized:

• ASIN (Required): The Amazon Standard Identification Number of the product.
• 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").

---

📝 Example Output

1{
2    "PageUrl": "https://www.amazon.com/product-reviews/B07ZPKN6YR?sortBy=helpful&reviewerType=all_reviews&filterByStar=five_star&mediaType=media_reviews_only&pageNumber=1&language=en_US",
3    "ProductLink": "https://www.amazon.com/dp/B07ZPKN6YR",
4    "ASIN": "B07ZPKN6YR",
5    "Brand": "Amazon Renewed",
6    "ProductTitle": "Apple iPhone 11, 64GB, Black - Unlocked (Renewed)",
7    "ReviewId": "R1CV8NB96UZ4BP",
8    "ReviewDate": "2025-3-28",
9    "Images": [
10        "https://m.media-amazon.com/images/I/51HbwvWaFIL.jpg",
11        "https://m.media-amazon.com/images/I/51kU1WbmjOL.jpg",
12        "https://m.media-amazon.com/images/I/51oPLW4pR-L.jpg"
13    ],
14    "ReviewScore": "5.0",
15    "Reviewer": "Andres Polanco",
16    "ReviewerProfileUrl": "https://www.amazon.com/gp/profile/amzn1.account.AFMQVZR6HNWV5YWZN6CZZ3SGETTQ/ref=cm_cr_arp_d_gw_btm?ie=UTF8",
17    "ReviewerId": "AFMQVZR6HNWV5YWZN6CZZ3SGETTQ",
18    "ReviewUrl": "https://www.amazon.com/gp/customer-reviews/R1CV8NB96UZ4BP/ref=cm_cr_arp_d_rvw_ttl?ie=UTF8&ASIN=B07ZPKN6YR",
19    "ReviewTitle": "Good phone",
20    "ReviewContent": "“The iPhone 11 is excellent. The camera takes high-quality photos, even in low light. The performance is fast, and the battery lasts all day. The screen is clear and bright. A great option for its price",
21    "Verified": "True",
22    "Variant": [
23        "Size: 128GB",
24        "Color: Black",
25        "Service Provider: Unlocked",
26        "Product grade: Renewed"
27    ],
28    "HelpfulCounts": "1 person found this helpful"
29}

---

🚀 Getting Started

• Create an Apify Account : Sign up here.
• Deploy the Actor : Add this actor to your Apify account and configure it.
• Input ASIN & Filters : Enter the ASIN and set your filters.
• Run the Actor : Start scraping reviews.
• Download Results : Once done, download the collected data in your desired format.

---

🔑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.

---

🔍Tags

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

---