# Amazon Reviews Scraper (`laisidata/amazon-reviews-scraper`) Actor Real-time Amazon product reviews for any ASIN and marketplace, with rich filters and structured output for monitoring and analytics. - **URL**: https://apify.com/laisidata/amazon-reviews-scraper.md - **Developed by:** [laisidata](https://apify.com/laisidata) (community) - **Categories:** E-commerce - **Stats:** 3 total users, 2 monthly users, 88.9% runs succeeded, NaN bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $0.50 / 1,000 results 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 Real-time Actor This Apify Actor retrieves Amazon product reviews in real time, with flexible filtering options. It is suitable for review monitoring, competitor analysis, and downstream data pipelines. ### Key capabilities - Real-time review collection for a given ASIN - Multi-marketplace coverage (country-based Amazon domains) - Filtering by sort mode, reviewer type, star rating, format, and media type - Continuous pagination support for higher review coverage - Structured output ready for analytics, storage, or integration workflows ### Input parameters | Parameter | Description | |---|---| | `asin` | Product ASIN (required) | | `country` | Marketplace country code (for example: `US`, `DE`, `JP`) | | `maxPages` | Maximum number of pages to fetch | | `filterByKeyword` | Keyword filter for review content | | `sortBy` | Sorting mode (for example: recent or helpful) | | `reviewerType` | Reviewer filter (all reviewers or verified purchase only) | | `filterByStars` | Star/sentiment filter (5-star, 4-star, critical, etc.) | | `formatType` | Format filter (all formats or current format) | | `mediaType` | Content filter (all content or media reviews only) | #### Input example ```json { "asin": "B0DMT42TFS", "country": "US", "maxPages": 3, "filterByKeyword": "battery", "sortBy": "helpful", "reviewerType": "all_reviews", "filterByStars": "all_stars", "formatType": "all_formats", "mediaType": "all_contents" } ```` #### Output example Each run produces one dataset record per review. Example shape: ```json { "rating": "4.0 out of 5 stars", "author": "Jane D.", "header": "Solid product for daily use", "id": "R1ABCDEFGHIJK", "content": "Arrived on time and works as described. Packaging was fine.", "author_link": "/gp/profile/amzn1.account.EXAMPLE", "date": "Reviewed in the United States on January 10, 2026", "images": [], "helpful_count": "3 people found this helpful", "is_amazon_vine": false, "is_verified": true, "variant_info": ["Size: Large", "Color: Black"], "videos": [] } ``` ### Output fields Each dataset item represents one review and typically includes: - Rating, title, content, and date - Reviewer information and profile link - Image and video information - Vine / verified-purchase indicators - Variant/format details and helpful vote information ### Typical use cases - Monitor new reviews and sentiment changes in near real time - Track competitor product feedback across marketplaces - Identify recurring product issues from low-rating reviews - Feed structured review data into BI dashboards and alerting systems ### Stability and security - Continuous pagination flow helps reduce missed reviews - Unified input-schema validation helps reduce invalid run failures - Logging is sanitized to avoid printing token-bearing connection strings ### Compliance notice Use this Actor in accordance with applicable laws and the target platform's terms and policies. # Actor input Schema ## `asin` (type: `string`): ASIN to scrape ## `country` (type: `string`): Country to scrape ## `maxPages` (type: `integer`): Max pages to scrape ## `filterByKeyword` (type: `string`): Filter by keyword to scrape ## `sortBy` (type: `string`): Sort by to scrape ## `reviewerType` (type: `string`): Reviewer type to scrape ## `filterByStars` (type: `string`): Filter by stars to scrape ## `formatType` (type: `string`): Format type to scrape ## `mediaType` (type: `string`): Media type to scrape ## Actor input object example ```json { "asin": "B00S5M2S28", "country": "US", "maxPages": 10, "filterByKeyword": "", "sortBy": "helpful", "reviewerType": "all_reviews", "filterByStars": "all_stars", "formatType": "all_formats", "mediaType": "all_contents" } ``` # 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("laisidata/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("laisidata/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 laisidata/amazon-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=laisidata/amazon-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon Reviews Scraper", "description": "Real-time Amazon product reviews for any ASIN and marketplace, with rich filters and structured output for monitoring and analytics.", "version": "0.0", "x-build-id": "8w3nJG9fgKzFu0j1v" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/laisidata~amazon-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-laisidata-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/laisidata~amazon-reviews-scraper/runs": { "post": { "operationId": "runs-sync-laisidata-amazon-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/laisidata~amazon-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-laisidata-amazon-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "type": "string", "description": "ASIN to scrape", "default": "B00S5M2S28" }, "country": { "title": "Country", "enum": [ "US", "CA", "MX", "UK", "IE", "DE", "FR", "IT", "ES", "NL", "SE", "PL", "BE", "AU", "IN", "SG", "AE", "SA", "TR", "BR", "EG", "ZA" ], "type": "string", "description": "Country to scrape", "default": "US" }, "maxPages": { "title": "Max pages", "minimum": 1, "maximum": 10, "type": "integer", "description": "Max pages to scrape", "default": 10 }, "filterByKeyword": { "title": "Filter by keyword", "type": "string", "description": "Filter by keyword to scrape", "default": "" }, "sortBy": { "title": "Sort by", "enum": [ "recent", "helpful" ], "type": "string", "description": "Sort by to scrape", "default": "helpful" }, "reviewerType": { "title": "Reviewer type", "enum": [ "all_reviews", "avp_only_reviews" ], "type": "string", "description": "Reviewer type to scrape", "default": "all_reviews" }, "filterByStars": { "title": "Filter by stars", "enum": [ "all_stars", "five_star", "four_star", "three_star", "two_star", "one_star", "positive", "critical" ], "type": "string", "description": "Filter by stars to scrape", "default": "all_stars" }, "formatType": { "title": "Format type", "enum": [ "all_formats", "current_format" ], "type": "string", "description": "Format type to scrape", "default": "all_formats" }, "mediaType": { "title": "Media type", "enum": [ "all_contents", "media_reviews_only" ], "type": "string", "description": "Media type to scrape", "default": "all_contents" } } }, "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 } } } } } } } } } } ```