# Amazon Reviews Scraper | $3/1K | Real-Time, No Login (`apivault_labs/amazon-reviews-scraper`) Actor Scrape Amazon product reviews in real-time — rating, title, text, reviewer, verified purchase, helpful count. Works with ASINs or URLs. - **URL**: https://apify.com/apivault\_labs/amazon-reviews-scraper.md - **Developed by:** [Apivault Labs](https://apify.com/apivault_labs) (community) - **Categories:** E-commerce, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 review extracteds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## 📦 Amazon Reviews Scraper | $3/1K | Real-Time, No Login Scrape Amazon product reviews in real-time. Give it an ASIN (or full product URL) and get reviews with rating, title, text, reviewer, verified-purchase flag, helpful count, country, and product variant. Works across **all 12 Amazon marketplaces**. ### ✨ Key Features - 🔄 Real-time scraping — always fresh reviews - 📝 Accepts ASINs (`B09B8V1LZ3`), product URLs, or review URLs - 🌍 Works on Amazon US, UK, DE, FR, IT, ES, CA, AU, JP, IN, MX, BR - ⭐ Full rating, title, body, and verified-purchase flag - 🔢 Helpful count, review date, reviewer country, product variant - 🎯 Filter by star rating (1-5 stars, critical, positive) - ↕️ Sort by **most recent** or **most helpful** - 🧲 Auto-deduplication across pages and sort orders - 🔒 No login, no cookies, no Amazon API key ### Input #### Simple — just an ASIN ```json { "asins": ["B09B8V1LZ3"] } ```` #### Multiple products across marketplaces ```json { "asins": [ "B09B8V1LZ3", "https://www.amazon.co.uk/dp/B08L5WHFHY", "https://www.amazon.de/product-reviews/B07PGL2ZSL" ], "maxPages": 5, "sortBy": "recent" } ``` #### Only critical (1-2 star) reviews ```json { "asins": ["B09B8V1LZ3"], "maxPages": 5, "filterByStar": "critical" } ``` #### Input Parameters | Field | Type | Required | Description | |-------|------|----------|-------------| | `asins` | string\[] | ✅ | ASINs or Amazon URLs. Mix freely. | | `domain` | string | ❌ | Default marketplace when only ASIN is provided (default: `amazon.com`) | | `maxPages` | int | ❌ | Pages per product, 1-10 (default: 3). Amazon caps at ~10 pages for anonymous access. | | `sortBy` | string | ❌ | `recent` or `helpful` (default: `recent`) | | `filterByStar` | string | ❌ | `all_stars`, `five_star` ... `one_star`, `critical`, `positive` (default: `all_stars`) | | `extractReviewer` | bool | ❌ | Reviewer name (default: true) | | `extractRating` | bool | ❌ | 1-5 star rating (default: true) | | `extractTitle` | bool | ❌ | Review title (default: true) | | `extractDate` | bool | ❌ | Review date (default: true) | | `extractText` | bool | ❌ | Review body (default: true) | | `extractVerified` | bool | ❌ | Verified Purchase flag (default: true) | | `extractHelpfulCount` | bool | ❌ | Helpful votes (default: true) | | `extractCountry` | bool | ❌ | Country / source marketplace (default: true) | | `extractVariant` | bool | ❌ | Product variant (color/size) bought (default: true) | | `extractAsinField` | bool | ❌ | Include ASIN + domain on each row (default: true) | | `maxConcurrency` | int | ❌ | Parallel page scrapes (default: 2) | | `timeout` | int | ❌ | Timeout per page in seconds (default: 180) | ### Output One dataset row per review: ```json { "success": true, "productUrl": "https://www.amazon.com/dp/B09B8V1LZ3", "asin": "B09B8V1LZ3", "domain": "amazon.com", "reviewerName": "John K.", "rating": 5, "title": "Best smart speaker I've owned", "date": "Reviewed in the United States on March 15, 2026", "text": "The sound quality is surprisingly good for the size. Setup took 5 minutes...", "verifiedPurchase": "Verified Purchase", "helpfulCount": "23", "country": "United States", "productVariant": "Color: Charcoal, Size: Dot (5th Gen)" } ``` ### Use Cases - Product research for e-commerce / dropshipping - Competitive analysis — mine a competitor's reviews - Voice-of-customer: feed reviews into sentiment analysis - Build AI training datasets - Identify product defects / recurring complaints - Track review velocity after a launch - Amazon FBA / arbitrage research ### Pricing - **$0.003 per review** ($3 per 1,000 reviews) - Pay only for unique reviews actually extracted - Duplicates across pages are deduplicated and charged once ### How it works The actor extracts the ASIN from each input, and for page 1 scrapes the public **product page** (`/dp/ASIN`) which reliably shows ~8-10 top reviews. For deeper pages it tries the dedicated `/product-reviews/` endpoint, which Amazon now often gates behind login for anonymous traffic. Typical coverage per product: - Page 1 alone → ~8-10 reviews (stable) - Adding pages 2-5 → **best effort**, may add 10-20 more or may return 0 To maximize coverage, run the actor **twice** with different inputs: - First run: `sortBy: recent` + `filterByStar: critical` (1-2 star reviews) - Second run: `sortBy: recent` + `filterByStar: positive` (4-5 star reviews) ### Notes - Amazon gates deeper review pagination behind login for anonymous users (this is an Amazon-side change, not an actor limitation) - Page 1 results are always reliable and fresh - The reviewer name is whatever Amazon shows publicly (often initials) - Verified Purchase flag is only set for Amazon-verified orders - No Amazon account or Product Advertising API key needed ### Tips - **Competitor research:** pull 10 pages sorted by `recent` + 10 pages sorted by `helpful` → full picture - **Defect hunting:** `filterByStar: one_star` + `sortBy: recent` to see the freshest complaints - **Launch tracking:** `sortBy: recent` on a new product every day, compare row counts - Combine with our **Amazon Product Scraper** to enrich the product side (title, price, rating count, images) # Actor input Schema ## `asins` (type: `array`): List of 10-character ASINs (e.g. B09B8V1LZ3), product URLs (https://www.amazon.com/dp/B09B8V1LZ3) or review URLs (https://www.amazon.com/product-reviews/B09B8V1LZ3). You can mix them freely. ## `domain` (type: `string`): Which Amazon marketplace to scrape (ignored if full URL provided) ## `maxPages` (type: `integer`): How many review pages to scrape per product. Page 1 reliably returns ~8-10 reviews from the product page. Pages 2+ are attempted via the dedicated reviews page but may return 0 (Amazon now requires login for deeper pagination). ## `sortBy` (type: `string`): Which order to request ## `filterByStar` (type: `string`): Only fetch reviews with specific star rating ## `extractReviewer` (type: `boolean`): Extract reviewer display name ## `extractRating` (type: `boolean`): Extract 1-5 star rating ## `extractTitle` (type: `boolean`): Extract review headline ## `extractDate` (type: `boolean`): Extract review date ## `extractText` (type: `boolean`): Extract full review body text ## `extractVerified` (type: `boolean`): Whether Amazon marked this as a verified purchase ## `extractHelpfulCount` (type: `boolean`): How many users found the review helpful ## `extractCountry` (type: `boolean`): Which Amazon store the review came from (for global reviews) ## `extractVariant` (type: `boolean`): Which color / size / style the reviewer bought ## `extractAsinField` (type: `boolean`): Include ASIN on every review row ## `maxConcurrency` (type: `integer`): Parallel page scrapes (recommended: 2-3) ## `timeout` (type: `integer`): Max wait per Amazon page ## Actor input object example ```json { "asins": [ "B09B8V1LZ3" ], "domain": "amazon.com", "maxPages": 1, "sortBy": "recent", "filterByStar": "all_stars", "extractReviewer": true, "extractRating": true, "extractTitle": true, "extractDate": true, "extractText": true, "extractVerified": true, "extractHelpfulCount": true, "extractCountry": true, "extractVariant": true, "extractAsinField": true, "maxConcurrency": 2, "timeout": 180 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "asins": [ "B09B8V1LZ3" ] }; // Run the Actor and wait for it to finish const run = await client.actor("apivault_labs/amazon-reviews-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "asins": ["B09B8V1LZ3"] } # Run the Actor and wait for it to finish run = client.actor("apivault_labs/amazon-reviews-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "asins": [ "B09B8V1LZ3" ] }' | apify call apivault_labs/amazon-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=apivault_labs/amazon-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon Reviews Scraper | $3/1K | Real-Time, No Login", "description": "Scrape Amazon product reviews in real-time — rating, title, text, reviewer, verified purchase, helpful count. Works with ASINs or URLs.", "version": "1.0", "x-build-id": "sfPB22QKxeIIcTIc2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/apivault_labs~amazon-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-apivault_labs-amazon-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/apivault_labs~amazon-reviews-scraper/runs": { "post": { "operationId": "runs-sync-apivault_labs-amazon-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/apivault_labs~amazon-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-apivault_labs-amazon-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "asins" ], "properties": { "asins": { "title": "ASINs or Amazon URLs", "type": "array", "description": "List of 10-character ASINs (e.g. B09B8V1LZ3), product URLs (https://www.amazon.com/dp/B09B8V1LZ3) or review URLs (https://www.amazon.com/product-reviews/B09B8V1LZ3). You can mix them freely.", "items": { "type": "string" } }, "domain": { "title": "Amazon domain", "enum": [ "amazon.com", "amazon.co.uk", "amazon.de", "amazon.fr", "amazon.it", "amazon.es", "amazon.ca", "amazon.com.au", "amazon.co.jp", "amazon.in", "amazon.com.mx", "amazon.com.br" ], "type": "string", "description": "Which Amazon marketplace to scrape (ignored if full URL provided)", "default": "amazon.com" }, "maxPages": { "title": "Pages per product", "minimum": 1, "maximum": 5, "type": "integer", "description": "How many review pages to scrape per product. Page 1 reliably returns ~8-10 reviews from the product page. Pages 2+ are attempted via the dedicated reviews page but may return 0 (Amazon now requires login for deeper pagination).", "default": 1 }, "sortBy": { "title": "Sort reviews by", "enum": [ "recent", "helpful" ], "type": "string", "description": "Which order to request", "default": "recent" }, "filterByStar": { "title": "Filter by star rating", "enum": [ "all_stars", "five_star", "four_star", "three_star", "two_star", "one_star", "critical", "positive" ], "type": "string", "description": "Only fetch reviews with specific star rating", "default": "all_stars" }, "extractReviewer": { "title": "Reviewer Name", "type": "boolean", "description": "Extract reviewer display name", "default": true }, "extractRating": { "title": "Rating", "type": "boolean", "description": "Extract 1-5 star rating", "default": true }, "extractTitle": { "title": "Review Title", "type": "boolean", "description": "Extract review headline", "default": true }, "extractDate": { "title": "Review Date", "type": "boolean", "description": "Extract review date", "default": true }, "extractText": { "title": "Review Text", "type": "boolean", "description": "Extract full review body text", "default": true }, "extractVerified": { "title": "Verified Purchase Flag", "type": "boolean", "description": "Whether Amazon marked this as a verified purchase", "default": true }, "extractHelpfulCount": { "title": "Helpful Count", "type": "boolean", "description": "How many users found the review helpful", "default": true }, "extractCountry": { "title": "Country", "type": "boolean", "description": "Which Amazon store the review came from (for global reviews)", "default": true }, "extractVariant": { "title": "Product Variant", "type": "boolean", "description": "Which color / size / style the reviewer bought", "default": true }, "extractAsinField": { "title": "ASIN", "type": "boolean", "description": "Include ASIN on every review row", "default": true }, "maxConcurrency": { "title": "Max Concurrency", "minimum": 1, "maximum": 5, "type": "integer", "description": "Parallel page scrapes (recommended: 2-3)", "default": 2 }, "timeout": { "title": "Timeout per page (seconds)", "minimum": 60, "maximum": 300, "type": "integer", "description": "Max wait per Amazon page", "default": 180 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```