# Amazon Product Scraper - ASIN, Price, Ratings & Best Sellers (`santhej/amazon-product-scraper`) Actor Scrape Amazon search results at scale: title, ASIN, price, currency, rating, review count, Amazon's Choice & Best Seller flags, image and product URL. Any keyword, multiple marketplaces. Clean JSON/CSV for price tracking & research. No API keys. - **URL**: https://apify.com/santhej/amazon-product-scraper.md - **Developed by:** [Santhej Kallada](https://apify.com/santhej) (community) - **Categories:** AI, E-commerce, MCP servers - **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing Pay per event 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 Scraper — Prices, ASIN, Ratings, Reviews & Best Sellers **Scrape Amazon three ways: search results by keyword, full product detail by ASIN, and product reviews by ASIN. Clean structured data for price tracking, product research, and review analysis.** Search any keyword on any Amazon marketplace and get every product as a row — or pull full detail and reviews for specific ASINs. No proxies, no captchas, no scraping to maintain. --- ### Three modes Set **`mode`** to choose what to scrape: - **`search`** — search results by keyword (default). - **`product_detail`** — full detail for one or more ASINs. - **`reviews`** — reviews for one or more ASINs. ### What you get — search mode (per product) - 🆔 **ASIN & title** — the unique product ID and name. - 💲 **Price & currency** — current listing price (and price range when shown). - ⭐ **Rating & review count** — social proof at a glance. - 🏆 **Amazon's Choice & Best Seller** — spot the winning listings. - 🖼️ **Image & product URL** — link straight to the listing. ### What you get — product detail mode (per ASIN) - 📋 **Title, brand/seller, description & bullet features**. - 🧬 **Specifications** — technical details table as structured key/value pairs. - 🏷️ **Price, currency, discount, availability, Amazon's Choice**. - ⭐ **Rating, review count & top reviews**. - 📊 **Bestseller rank** (when listed) and full image/video lists. ### What you get — reviews mode (per review) - ⭐ **Rating, title & full text**. - 👤 **Author, verified-purchase flag & date**. - 👍 **Helpful votes** and the review URL. ### Perfect for - **Price tracking & repricing** — monitor prices and undercut competitors. - **Product & niche research** — find best sellers and gaps before you launch. - **Brand & seller monitoring** — track your listings and competitors'. - **Dropshipping & arbitrage** — source winning products fast. - **AI agents** — feed structured product data into automated pipelines and MCP tools. ### How to use it 1. Enter your **search keywords**. 2. Pick the **marketplace** (and matching language locale). 3. Run it — export JSON/CSV or pull via the API. #### Example input — search ```json { "mode": "search", "queries": ["wireless earbuds", "standing desk"], "resultsDepth": 30, "locationCode": "2840", "languageCode": "en_US" } ```` #### Example input — product detail ```json { "mode": "product_detail", "asins": ["B0BSHF7WHW"], "locationCode": "2840", "languageCode": "en_US" } ``` #### Example input — reviews ```json { "mode": "reviews", "asins": ["B0BSHF7WHW"], "reviewsDepth": 20, "locationCode": "2840", "languageCode": "en_US" } ``` #### Example output (one row per product) ```json { "query": "wireless earbuds", "asin": "B0XXXXX", "title": "Wireless Earbuds, Bluetooth 5.3…", "price": 29.99, "currency": "USD", "rating": 4.5, "reviews_count": 18234, "is_amazon_choice": true, "is_best_seller": false, "url": "https://www.amazon.com/dp/B0XXXXX" } ``` ### Pricing Pay per result returned — no monthly fee, no minimum. Search products, product-detail records, and reviews are each billed per result. ### FAQ **Which marketplaces?** US, UK, Germany, France, Italy, Spain, Canada and more — set the marketplace + matching locale. **Do I need proxies?** No — everything is handled. Just send keywords. **Can I track prices over time?** Yes — schedule runs and diff the output. **Good for AI agents?** Yes — clean JSON, ideal for MCP servers, n8n, Make, and LLM agents. *** *Tags: amazon scraper, amazon product scraper, amazon price tracker, asin scraper, amazon data, ecommerce scraper, product research, amazon api, best sellers, price monitoring.* # Actor input Schema ## `mode` (type: `string`): What to scrape: search results by keyword, full product detail by ASIN, or reviews by ASIN. ## `queries` (type: `array`): What to search on Amazon, e.g. ‘wireless earbuds’, ‘standing desk’. One per line. Up to 100 per run. Used in search mode only. ## `asins` (type: `array`): Amazon product ASINs, e.g. ‘B0BSHF7WHW’. One per line. Up to 100 per run. Used in product\_detail and reviews modes. ## `resultsDepth` (type: `integer`): How many products to return per query (10–100). ## `reviewsDepth` (type: `integer`): How many reviews to return per ASIN (10–100). ## `locationCode` (type: `string`): Marketplace country. Default United States. Make sure the language matches the marketplace. ## `languageCode` (type: `string`): Locale code matching the marketplace: en\_US, en\_GB, de\_DE, fr\_FR, it\_IT, es\_ES, en\_CA. ## Actor input object example ```json { "mode": "search", "queries": [ "wireless earbuds", "standing desk" ], "asins": [ "B0BSHF7WHW" ], "resultsDepth": 30, "reviewsDepth": 20, "locationCode": "2840", "languageCode": "en_US" } ``` # Actor output Schema ## `dataset` (type: `string`): All scraped Amazon products. ## `summary` (type: `string`): Queries and product counts. # 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 = { "queries": [ "wireless earbuds", "standing desk" ], "asins": [ "B0BSHF7WHW" ] }; // Run the Actor and wait for it to finish const run = await client.actor("santhej/amazon-product-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 = { "queries": [ "wireless earbuds", "standing desk", ], "asins": ["B0BSHF7WHW"], } # Run the Actor and wait for it to finish run = client.actor("santhej/amazon-product-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 '{ "queries": [ "wireless earbuds", "standing desk" ], "asins": [ "B0BSHF7WHW" ] }' | apify call santhej/amazon-product-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=santhej/amazon-product-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon Product Scraper - ASIN, Price, Ratings & Best Sellers", "description": "Scrape Amazon search results at scale: title, ASIN, price, currency, rating, review count, Amazon's Choice & Best Seller flags, image and product URL. Any keyword, multiple marketplaces. Clean JSON/CSV for price tracking & research. No API keys.", "version": "0.0", "x-build-id": "eqlNHCRiJfEJUHO3E" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/santhej~amazon-product-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-santhej-amazon-product-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/santhej~amazon-product-scraper/runs": { "post": { "operationId": "runs-sync-santhej-amazon-product-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/santhej~amazon-product-scraper/run-sync": { "post": { "operationId": "run-sync-santhej-amazon-product-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": { "mode": { "title": "Mode", "enum": [ "search", "product_detail", "reviews" ], "type": "string", "description": "What to scrape: search results by keyword, full product detail by ASIN, or reviews by ASIN.", "default": "search" }, "queries": { "title": "Search keywords (search mode)", "maxItems": 100, "type": "array", "description": "What to search on Amazon, e.g. ‘wireless earbuds’, ‘standing desk’. One per line. Up to 100 per run. Used in search mode only.", "items": { "type": "string" } }, "asins": { "title": "ASINs (product detail / reviews modes)", "maxItems": 100, "type": "array", "description": "Amazon product ASINs, e.g. ‘B0BSHF7WHW’. One per line. Up to 100 per run. Used in product_detail and reviews modes.", "items": { "type": "string" } }, "resultsDepth": { "title": "Results per query (search mode)", "minimum": 10, "maximum": 100, "type": "integer", "description": "How many products to return per query (10–100).", "default": 30 }, "reviewsDepth": { "title": "Reviews per ASIN (reviews mode)", "minimum": 10, "maximum": 100, "type": "integer", "description": "How many reviews to return per ASIN (10–100).", "default": 20 }, "locationCode": { "title": "Amazon marketplace", "enum": [ "2840", "2826", "2276", "2250", "2380", "2724", "2124" ], "type": "string", "description": "Marketplace country. Default United States. Make sure the language matches the marketplace.", "default": "2840" }, "languageCode": { "title": "Language (locale)", "type": "string", "description": "Locale code matching the marketplace: en_US, en_GB, de_DE, fr_FR, it_IT, es_ES, en_CA.", "default": "en_US" } } }, "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 } } } } } } } } } } ```