# Amazon Products & Reviews Scraper (`scrappinglatam/amazon-reviews-scraper`) Actor Scrape Amazon product data and customer reviews from Amazon (ES, US, DE, FR, UK and more). - **URL**: https://apify.com/scrappinglatam/amazon-reviews-scraper.md - **Developed by:** [ScrappingLatam](https://apify.com/scrappinglatam) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $5.00 / 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 Products & Reviews Scraper Collect customer reviews and product data from Amazon across all major marketplaces — ES, US, DE, FR, UK, IT, BR, MX, CA, AU, JP, and more. **Publisher:** Rastriq · [apify.com/rastriq](https://apify.com/rastriq) ### What you can do with it - Monitor how customer sentiment evolves for your products or your competitors' over time - Analyse reviews before entering a new market or launching a new product category - Track rating drops that signal supply issues, quality problems, or negative PR - Build datasets for sentiment analysis, voice-of-customer research, or AI training - Compare product availability and pricing across multiple European or global marketplaces - Identify weak spots in competing products by mining low-rated reviews at scale ### Filters | Filter | What it does | |---|---| | Products (ASINs or URLs) | The list of Amazon products you want to collect data for | | Mode | Choose what to collect: reviews only, product data only, or both together | | Marketplace | Select the Amazon country store to query (e.g. amazon.es, amazon.de) | | Max Reviews per Product | Cap how many reviews to collect per product | | Cookies | Your Amazon session cookies — required once to unlock review access (see setup below) | ### What you get **Review records include:** | Field | What it contains | |---|---| | review_id | Unique identifier for the review | | author | Reviewer display name | | country | Country where the review was posted | | rating | Star rating (1 to 5) | | date | Date the review was published | | title | Review headline | | body | Full review text | | verified_purchase | Whether Amazon confirmed the reviewer bought the product | | helpful_votes | Number of people who marked the review as helpful | | variant | Product variant the reviewer purchased (colour, size, etc.) | **Product records include:** | Field | What it contains | |---|---| | title | Product name | | brand | Brand name | | price | Current price including currency | | rating | Average star rating | | review_count | Total number of ratings on the product | | availability | Stock status | | category | Product category breadcrumb | | bullets | Key feature bullet points from the product page | | description | Full product description | | specs | Detailed technical attributes (e.g. dimensions, materials) | | main_image | Link to the main product photo | | variants | Available colour or size options | | url | Direct link to the product on Amazon | ### Cookie setup (one-time, 2 minutes) Amazon requires an active login session to access reviews. You only need to do this once — after the first successful run, your session is saved automatically for all future runs. 1. Log into your Amazon account in Chrome on the marketplace you want to use (e.g. amazon.es) 2. Install the free Cookie-Editor browser extension 3. While on the Amazon page, open Cookie-Editor and click Export 4. Copy the exported cookies and paste them into the Cookies field in the actor input 5. Run the actor — your session is now saved and you will not need to repeat this If reviews stop loading after a few weeks, your session has expired. Simply export fresh cookies and paste them in again. ### Pricing **$5.00 per 1,000 results. First 500 results free.** ### Legal This actor collects publicly available information from Amazon's website. Use responsibly and in accordance with Amazon's Terms of Service and applicable data protection laws. **contact@rastriq.com** # Actor input Schema ## `asins` (type: `array`): List of Amazon ASINs (e.g. B07XLML2YS) or full product URLs. Mix of marketplaces supported. ## `mode` (type: `string`): What to extract: reviews only, product data only, or both. ## `marketplace` (type: `string`): Amazon domain to use when only an ASIN is provided (no full URL). Ignored if URLs contain the domain. ## `max_reviews` (type: `integer`): Maximum number of reviews to extract per ASIN. Each 10 reviews requires one click on 'Load more'. Default: 100. ## `delay_between_clicks` (type: `number`): Seconds to wait between 'Load more' clicks. Increase if you get CAPTCHAs. Default: 1.5 ## `delay_page_load` (type: `number`): Seconds to wait after a page loads before extracting data. Default: 3.0 ## `use_proxy` (type: `boolean`): Use Apify residential proxies as an extra layer against blocks. Not needed if you provide valid session cookies — enabling it adds significant proxy costs (~$1-2 per run). Leave off unless you experience access issues. ## `cookies` (type: `array`): Required. Your Amazon session cookies as a JSON array. Export them from your browser using the Cookie-Editor extension (cookie-editor.com): log into Amazon, open the extension, click Export → Export as JSON, and paste the result here. Once set, cookies are saved automatically for future runs — you only need to do this once. ## Actor input object example ```json { "mode": "reviews", "marketplace": "amazon.es", "max_reviews": 100, "delay_between_clicks": 1.5, "delay_page_load": 3, "use_proxy": false } ```` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("scrappinglatam/amazon-reviews-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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("scrappinglatam/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 scrappinglatam/amazon-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrappinglatam/amazon-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon Products & Reviews Scraper", "description": "Scrape Amazon product data and customer reviews from Amazon (ES, US, DE, FR, UK and more).", "version": "0.1", "x-build-id": "s1Wp6ORy1mhn5lBTf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrappinglatam~amazon-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrappinglatam-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrappinglatam~amazon-reviews-scraper/runs": { "post": { "operationId": "runs-sync-scrappinglatam-amazon-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrappinglatam~amazon-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-scrappinglatam-amazon-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "cookies" ], "properties": { "asins": { "title": "ASINs or URLs", "minItems": 1, "type": "array", "description": "List of Amazon ASINs (e.g. B07XLML2YS) or full product URLs. Mix of marketplaces supported.", "items": { "type": "string" } }, "mode": { "title": "Scraping mode", "enum": [ "reviews", "products", "both" ], "type": "string", "description": "What to extract: reviews only, product data only, or both.", "default": "reviews" }, "marketplace": { "title": "Default marketplace", "enum": [ "amazon.es", "amazon.com", "amazon.de", "amazon.fr", "amazon.co.uk", "amazon.it", "amazon.com.br", "amazon.com.mx", "amazon.ca", "amazon.com.au", "amazon.co.jp", "amazon.nl", "amazon.pl", "amazon.se" ], "type": "string", "description": "Amazon domain to use when only an ASIN is provided (no full URL). Ignored if URLs contain the domain.", "default": "amazon.es" }, "max_reviews": { "title": "Max reviews per product", "minimum": 10, "maximum": 2000, "type": "integer", "description": "Maximum number of reviews to extract per ASIN. Each 10 reviews requires one click on 'Load more'. Default: 100.", "default": 100 }, "delay_between_clicks": { "title": "Delay between clicks (seconds)", "minimum": 0.5, "maximum": 10, "type": "number", "description": "Seconds to wait between 'Load more' clicks. Increase if you get CAPTCHAs. Default: 1.5", "default": 1.5 }, "delay_page_load": { "title": "Page load wait (seconds)", "minimum": 1, "maximum": 15, "type": "number", "description": "Seconds to wait after a page loads before extracting data. Default: 3.0", "default": 3 }, "use_proxy": { "title": "Use residential proxy", "type": "boolean", "description": "Use Apify residential proxies as an extra layer against blocks. Not needed if you provide valid session cookies — enabling it adds significant proxy costs (~$1-2 per run). Leave off unless you experience access issues.", "default": false }, "cookies": { "title": "Amazon session cookies", "type": "array", "description": "Required. Your Amazon session cookies as a JSON array. Export them from your browser using the Cookie-Editor extension (cookie-editor.com): log into Amazon, open the extension, click Export → Export as JSON, and paste the result here. Once set, cookies are saved automatically for future runs — you only need to do this once." } } }, "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 } } } } } } } } } } ```