# Amazon ASIN Reviews Scraper — Full Review Set (Not Just Top 10) (`hypnotic_freedom/amazon-reviews-scraper`) Actor Up to 200 structured reviews per ASIN — 100 most recent + 100 most helpful. Most Amazon review scrapers return only the 10 visible reviews. Across 12 marketplaces (US, UK, DE, FR, IT, ES, NL, SE, PL, TR, IN, CA), ready for sentiment, competitor, brand analysis. Cached re-reads are free. - **URL**: https://apify.com/hypnotic\_freedom/amazon-reviews-scraper.md - **Developed by:** [Descripio](https://apify.com/hypnotic_freedom) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 81.8% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $100.00 / 1,000 product review sets 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 Product Reviews Scraper — 12 Marketplaces Extract structured Amazon product reviews for any ASIN. Supports **12 marketplaces**: 🇩🇪 Germany, 🇬🇧 UK, 🇫🇷 France, 🇮🇹 Italy, 🇺🇸 USA, 🇪🇸 Spain, 🇳🇱 Netherlands, 🇸🇪 Sweden, 🇵🇱 Poland, 🇹🇷 Turkey, 🇮🇳 India, 🇨🇦 Canada. ### What data do you get? For each ASIN, the scraper returns: - **Product info**: title, image URL, marketplace - **Review count**: total number of reviews - **Individual reviews**: title, full content, date, country, top review flag, Amazon review ID ### Use cases - 🔍 **Competitor analysis** — Monitor competitor product sentiment over time - 📊 **Sentiment analysis** — Feed reviews into NLP pipelines for automated insights - 🛡️ **Brand monitoring** — Track new reviews on your products across all supported marketplaces - 📈 **Market research** — Compare review patterns across different countries - 🤖 **LLM training data** — Structured review data for fine-tuning or RAG ### How to use 1. Enter an **ASIN** (e.g. `B08N5WRWNW`) 2. Select a **marketplace** (defaults to `amazon.de`) 3. Click **Start** — the scraper fetches up to 200 reviews and saves them to the dataset 4. Results are saved to the dataset in structured JSON format ### Input example ```json { "asin": "B08N5WRWNW", "marketplace": "amazon.de" } ```` ### Output example Each run returns a single dataset item containing the product info and **up to 200 reviews** (100 most recent + 100 most helpful, deduplicated). ```json { "asin": "B08N5WRWNW", "title": "Wireless Bluetooth Headphones", "imageUrl": "https://m.media-amazon.com/images/I/example.jpg", "marketplace": "amazon.de", "reviewCount": 156, "lastScraped": "2026-05-06T10:31:00.000Z", "reviews": [ { "id": 12345, "amazonReviewId": "R1ABC123DEF", "title": "Great sound quality", "content": "Battery lasts 2 days, noise cancellation is excellent.", "date": "2026-01-15T00:00:00.000Z", "isTopReview": true, "country": "DE", "scrapedAt": "2026-05-06T10:31:00.000Z" }, { "id": 12346, "amazonReviewId": "R2XYZ456GHI", "title": "Good but expensive", "content": "Sound quality is great. A bit pricey compared to alternatives, but worth it.", "date": "2026-02-03T00:00:00.000Z", "isTopReview": false, "country": "DE", "scrapedAt": "2026-05-06T10:31:00.000Z" }, { "id": 12347, "amazonReviewId": "R3LMN789JKL", "title": "Perfect for home office", "content": "Using these daily for video calls. Mic quality is clear, comfortable for long sessions.", "date": "2026-03-20T00:00:00.000Z", "isTopReview": true, "country": "AT", "scrapedAt": "2026-05-06T10:31:00.000Z" } ] } ``` > The `reviews` array contains up to 200 items total — 100 most recent + 100 most helpful, deduplicated. ### Pricing **$0.10 per Review Set** (= up to 200 reviews per ASIN). > A Review Set is one complete scrape of an ASIN: up to 200 reviews, deduplicated across "most recent" and "most helpful" — the two lists Amazon shows. At $0.10 per set, you pay for the product, not the individual reviews. Competitors who charge per review cost on average more for the same data. | ASINs | Max reviews | Cost | | ----- | ----------- | ------- | | 10 | 2,000 | $1.00 | | 100 | 20,000 | $10.00 | | 1,000 | 200,000 | $100.00 | Re-reads of cached data are always free. Only a fresh scrape triggers a charge. ### Rate limits & caching - **10 requests per minute** per Apify user - If an ASIN was scraped recently, the Actor returns the **cached result at no charge** — you are never billed twice for the same data within the cooldown window - For higher throughput, use the Descripio API directly with a dedicated API key ### Supported marketplaces | Country | Domain | | ------------------- | ------------- | | 🇩🇪 Germany | amazon.de | | 🇬🇧 United Kingdom | amazon.co.uk | | 🇫🇷 France | amazon.fr | | 🇮🇹 Italy | amazon.it | | 🇺🇸 United States | amazon.com | | 🇪🇸 Spain | amazon.es | | 🇳🇱 Netherlands | amazon.nl | | 🇸🇪 Sweden | amazon.se | | 🇵🇱 Poland | amazon.pl | | 🇹🇷 Turkey | amazon.com.tr | | 🇮🇳 India | amazon.in | | 🇨🇦 Canada | amazon.ca | # Actor input Schema ## `asin` (type: `string`): Amazon product ASIN (10 alphanumeric characters) ## `marketplace` (type: `string`): Amazon marketplace domain ## Actor input object example ```json { "asin": "B07YC2CSBY", "marketplace": "amazon.de" } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("hypnotic_freedom/amazon-reviews-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = {} # Run the Actor and wait for it to finish run = client.actor("hypnotic_freedom/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 '{}' | apify call hypnotic_freedom/amazon-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=hypnotic_freedom/amazon-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon ASIN Reviews Scraper — Full Review Set (Not Just Top 10)", "description": "Up to 200 structured reviews per ASIN — 100 most recent + 100 most helpful. Most Amazon review scrapers return only the 10 visible reviews. Across 12 marketplaces (US, UK, DE, FR, IT, ES, NL, SE, PL, TR, IN, CA), ready for sentiment, competitor, brand analysis. Cached re-reads are free.", "version": "0.1", "x-build-id": "mehNnh5rGpV2WCo7r" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/hypnotic_freedom~amazon-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-hypnotic_freedom-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/hypnotic_freedom~amazon-reviews-scraper/runs": { "post": { "operationId": "runs-sync-hypnotic_freedom-amazon-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/hypnotic_freedom~amazon-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-hypnotic_freedom-amazon-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "asin" ], "properties": { "asin": { "title": "ASIN", "pattern": "^[A-Z0-9]{10}$", "type": "string", "description": "Amazon product ASIN (10 alphanumeric characters)", "default": "B07YC2CSBY" }, "marketplace": { "title": "Marketplace", "enum": [ "amazon.de", "amazon.co.uk", "amazon.fr", "amazon.it", "amazon.com", "amazon.es", "amazon.nl", "amazon.se", "amazon.pl", "amazon.com.tr", "amazon.in", "amazon.ca" ], "type": "string", "description": "Amazon marketplace domain", "default": "amazon.de" } } }, "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 } } } } } } } } } } ```