# Amazon Reviews & Rating Intelligence Scraper (`psymall/amazon-reviews-scraper`) Actor For any list of Amazon products (ASINs or URLs) get the public customer reviews plus the full rating picture: overall score, total ratings, star breakdown and Amazon's AI review summary. Clean structured data for product and competitor research at scale. - **URL**: https://apify.com/psymall/amazon-reviews-scraper.md - **Developed by:** [Moty Gotgilf](https://apify.com/psymall) (community) - **Categories:** E-commerce, Business, Other - **Stats:** 2 total users, 1 monthly users, 50.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 & Rating Intelligence Scraper Give it a list of Amazon products and get, for each one, the **public customer reviews** plus the **full rating picture** — overall score, total ratings, star breakdown, and Amazon's own AI review summary. Clean structured data for product research, competitor tracking and review monitoring. No login, no browser babysitting. ### What you get per row One row per review (products with no public reviews still get one summary row): | Field | Description | |---|---| | `asin` / `productTitle` / `productUrl` / `marketplace` | Product identity | | `productRating` / `productTotalRatings` | Overall star score and total number of ratings | | `productStarBreakdown` | Percentages per star, e.g. `{ "5star": 83, "4star": 12, ... }` | | `productAiSummary` | Amazon's "Customers say" AI summary (when present) | | `reviewer` / `reviewRating` / `reviewTitle` / `reviewBody` | The individual review | | `reviewDate` / `reviewCountry` / `verifiedPurchase` / `helpfulVotes` | Review metadata | | `hasReview` | `false` on summary-only rows (product had no public reviews) | ### Input ```json { "asins": ["B07FZ8S74R", "B09B8V1LZ3"], "productUrls": ["https://www.amazon.com/dp/B0CHX3QBCH"], "marketplace": "amazon.com", "maxItems": 200, "maxReviewsPerProduct": 10 } ```` - **asins** — 10-character product codes (the part of the URL after `/dp/`). - **productUrls** — full Amazon product links; the ASIN is parsed out automatically (use instead of or alongside `asins`). - **marketplace** — `amazon.com`, `amazon.co.uk`, `amazon.de`, … (ASINs must exist in that marketplace). - **maxItems** — hard cap on output rows (0 = no limit). - **maxReviewsPerProduct** — cap reviews per product (max 10). ### Important: what's public vs. what isn't Since late 2024, Amazon shows only the **top ~8 reviews per product** without a logged-in account; the dedicated all-reviews page requires sign-in. This scraper therefore returns **the public reviews plus the complete rating summary/breakdown** for each product — not the full review history. That makes it ideal for **scanning many products at scale** (competitor catalogs, category research, rating monitoring), where the per-product summary and top reviews are what matter. ### How it works A real browser (with Apify residential proxies) loads each product page, scrolls to trigger Amazon's lazy-loaded reviews, and reads them from stable page markup. A run that renders nothing across all products fails loudly instead of billing you for an empty dataset. Works across Amazon marketplaces. ### Legal Collects only publicly visible product and review data. Use responsibly and in line with Amazon's terms and applicable law. # Actor input Schema ## `asins` (type: `array`): Amazon product ASINs (10-character codes, e.g. B07FZ8S74R). Find it in the product URL after /dp/. ## `productUrls` (type: `array`): Full Amazon product URLs (https://www.amazon.com/dp/ASIN). Used in addition to ASINs; the ASIN and marketplace are parsed out automatically, so a .co.uk link is scraped on .co.uk. ## `marketplace` (type: `string`): Amazon domain to use, e.g. amazon.com, amazon.co.uk, amazon.de. ASINs must exist in that marketplace. ## `maxItems` (type: `integer`): Stop after collecting this many rows (one row per review; products with no public reviews still emit one summary row). 0 = no limit. ## `maxReviewsPerProduct` (type: `integer`): Cap the reviews taken from each product. Amazon exposes only ~8 public reviews per product without login. ## Actor input object example ```json { "asins": [ "B07FZ8S74R" ], "productUrls": [], "marketplace": "amazon.com", "maxItems": 200, "maxReviewsPerProduct": 10 } ``` # 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": [ "B07FZ8S74R" ], "marketplace": "amazon.com" }; // Run the Actor and wait for it to finish const run = await client.actor("psymall/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": ["B07FZ8S74R"], "marketplace": "amazon.com", } # Run the Actor and wait for it to finish run = client.actor("psymall/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": [ "B07FZ8S74R" ], "marketplace": "amazon.com" }' | apify call psymall/amazon-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=psymall/amazon-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon Reviews & Rating Intelligence Scraper", "description": "For any list of Amazon products (ASINs or URLs) get the public customer reviews plus the full rating picture: overall score, total ratings, star breakdown and Amazon's AI review summary. Clean structured data for product and competitor research at scale.", "version": "0.1", "x-build-id": "fAOyGspf7mXKVYWfo" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/psymall~amazon-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-psymall-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/psymall~amazon-reviews-scraper/runs": { "post": { "operationId": "runs-sync-psymall-amazon-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/psymall~amazon-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-psymall-amazon-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "asins": { "title": "ASINs", "type": "array", "description": "Amazon product ASINs (10-character codes, e.g. B07FZ8S74R). Find it in the product URL after /dp/.", "items": { "type": "string" } }, "productUrls": { "title": "Product URLs (optional)", "type": "array", "description": "Full Amazon product URLs (https://www.amazon.com/dp/ASIN). Used in addition to ASINs; the ASIN and marketplace are parsed out automatically, so a .co.uk link is scraped on .co.uk.", "default": [], "items": { "type": "string" } }, "marketplace": { "title": "Marketplace", "type": "string", "description": "Amazon domain to use, e.g. amazon.com, amazon.co.uk, amazon.de. ASINs must exist in that marketplace.", "default": "amazon.com" }, "maxItems": { "title": "Max rows", "minimum": 0, "type": "integer", "description": "Stop after collecting this many rows (one row per review; products with no public reviews still emit one summary row). 0 = no limit.", "default": 200 }, "maxReviewsPerProduct": { "title": "Max reviews per product", "minimum": 1, "maximum": 10, "type": "integer", "description": "Cap the reviews taken from each product. Amazon exposes only ~8 public reviews per product without login.", "default": 10 } } }, "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 } } } } } } } } } } ```