# Amazon Scraper - Products, Prices & Reviews (.in & .com) (`fascinating_lentil/amazon-scraper`) Actor Scrape Amazon India (amazon.in) and Amazon US (amazon.com) for product data: titles, ASINs, prices, ratings, reviews, sellers, stock, images, specs, badges, and BSR. Search by keyword, ASIN list, or category URL. Residential proxies. Pay per result. - **URL**: https://apify.com/fascinating\_lentil/amazon-scraper.md - **Developed by:** [Md Jakaria Mirza](https://apify.com/fascinating_lentil) (community) - **Categories:** E-commerce, Other - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Scraper - Products, Prices & Reviews (.in & .com) Scrape Amazon products, prices, ratings, and reviews from Amazon US (`amazon.com`) and Amazon India (`amazon.in`) — no login and no API key required. Search by keyword, ASIN list, or category/product URL and get structured records with prices, discounts, ratings, sellers, stock status, images, specifications, badges, and Best Seller Rank. Export to JSON, CSV, Excel, or HTML, or pull via the Apify API. Built with Node.js, TypeScript, the Apify SDK, and a Playwright crawler. It uses Apify residential proxies with a session pool, retries, CAPTCHA detection, and fallback selectors so runs stay reliable as Amazon's layout drifts. ### What It Extracts | Field | Type | Description | | --- | --- | --- | | `asin` | string | 10-character Amazon Standard Identification Number | | `title` | string | Full product title | | `url` | string | Canonical product page URL | | `domain` | string | `amazon.com` or `amazon.in` | | `keyword` | string | Search keyword that found the product, empty for ASIN/category input | | `price` | number | Current price | | `originalPrice` | number | List price or MRP before discount | | `discountPercent` | integer | Rounded discount percentage | | `currency` | string | ISO currency code such as `USD` or `INR` | | `rating` | number | Product rating | | `reviewsCount` | number | Total review count | | `sellerName` | string | Merchant or seller name | | `inStock` | boolean | Availability status | | `imageUrl` | string | Main product image | | `images` | string[] | Product gallery image URLs | | `category` | string | Breadcrumb category | | `brand` | string | Product brand | | `specifications` | object | Product specification key-value pairs | | `isAmazonsChoice` | boolean | Amazon's Choice badge status | | `isBestSeller` | boolean | Best Seller badge status | | `bestSellerRank` | string | Best Seller Rank text | | `reviews` | object[] | Optional recent reviews (`title`, `rating`, `body`, `author`, `date`, `verifiedPurchase`, `reviewUrl`) | | `scrapedAt` | string | ISO timestamp for the scrape | When `trackPriceHistory` is enabled, the Actor also saves a `_type: "price-snapshot"` row for each scraped product (`asin`, `domain`, `title`, `url`, `price`, `originalPrice`, `discountPercent`, `currency`, `inStock`, `capturedAt`). ### Use Cases 1. Competitive price monitoring across Amazon US and India. 2. Review aggregation for product research, sentiment analysis, and complaint mining. 3. Catalog enrichment from ASIN lists. 4. Niche and category research using category or search URLs. 5. Stock, discount, rating, and seller tracking for ecommerce analytics. ### Pricing This Actor uses Apify Pay Per Event pricing. You pay only for product records successfully saved to the dataset. | Event name | Price per event | 1,000 products | 10,000 products | | --- | ---: | ---: | ---: | | `product-scraped` | $0.002 | $2.00 | $20.00 | Price snapshot rows are written for analytics, but the explicit charge event is tied to product records. Apify platform costs (compute, proxy, storage) apply separately. ### Input Provide at least one of `searchKeyword`, `asinList`, or `categoryUrl`. `asinList` takes precedence, then `categoryUrl`, then `searchKeyword`. | Field | Type | Required | Default | Description | | --- | --- | --- | --- | --- | | `searchKeyword` | string[] | one of | `["echo dot"]` | One or more product search terms | | `asinList` | string[] | one of | none | Direct product ASINs (10 characters) | | `categoryUrl` | string | one of | none | Full Amazon search/category URL or a single `/dp/` URL | | `marketplace` | string | yes | `amazon.com` | `amazon.com` (US) or `amazon.in` (India) | | `maxProducts` | integer | no | `100` | Hard cap on products per keyword/ASIN list (1-500) | | `includeReviews` | boolean | no | `false` | Fetch recent reviews per product | | `maxReviewsPerProduct` | integer | no | `10` | Review cap per product when reviews are enabled (0-100) | | `trackPriceHistory` | boolean | no | `true` | Store a price snapshot row for each scraped product | | `maxRequestsPerMinute` | integer | no | `30` | Crawl pacing (5-30); lower is stealthier | | `proxyConfig` | object | no | Apify Residential | Proxy settings. Residential strongly recommended for Amazon | ### Example Inputs Keyword search: ```json { "searchKeyword": ["echo dot"], "marketplace": "amazon.com", "maxProducts": 20, "includeReviews": false, "proxyConfig": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` ASIN enrichment with reviews: ```json { "asinList": ["B08N5WRWNW", "B09V3KXJPB", "B0BDHB9Y8H"], "marketplace": "amazon.com", "includeReviews": true, "maxReviewsPerProduct": 20 } ``` ### How to Scrape Amazon (Step by Step) 1. Click **Try for free** / **Run**. 2. Choose your input: enter `searchKeyword`, an `asinList`, or a `categoryUrl`. 3. Set `marketplace` (`amazon.com` or `amazon.in`) and a small `maxProducts` to test. 4. Optionally enable `includeReviews` and keep residential proxies on, then click **Start**. 5. When the run finishes, export results as JSON, CSV, Excel, or HTML, or pull them via the Apify API. ### Sample Output ```json { "asin": "B08N5WRWNW", "title": "Echo Dot (5th Gen, 2022 release) | Smart speaker with Alexa", "url": "https://www.amazon.com/dp/B08N5WRWNW", "domain": "amazon.com", "keyword": "echo dot", "price": 49.99, "originalPrice": 59.99, "discountPercent": 17, "currency": "USD", "rating": 4.7, "reviewsCount": 15234, "sellerName": "Amazon.com", "inStock": true, "imageUrl": "https://m.media-amazon.com/images/I/example.jpg", "images": ["https://m.media-amazon.com/images/I/example.jpg"], "category": "Electronics > Smart Home > Speakers", "brand": "Amazon", "specifications": { "Brand": "Amazon", "Connectivity": "Wi-Fi, Bluetooth" }, "isAmazonsChoice": true, "isBestSeller": true, "bestSellerRank": "#1 in Smart Speakers", "reviews": [], "scrapedAt": "2026-06-08T00:00:00.000Z" } ``` Price snapshot row (when `trackPriceHistory` is enabled): ```json { "_type": "price-snapshot", "asin": "B08N5WRWNW", "domain": "amazon.com", "title": "Echo Dot (5th Gen, 2022 release)", "url": "https://www.amazon.com/dp/B08N5WRWNW", "price": 49.99, "originalPrice": 59.99, "discountPercent": 17, "currency": "USD", "inStock": true, "capturedAt": "2026-06-08T00:00:00.000Z" } ``` ### How It Works 1. Validates input and chooses the mode: ASIN, category/product URL, or keyword. 2. Infers the Amazon marketplace from URL input and rejects mismatched marketplace settings. 3. Starts a Playwright crawler with Apify proxy configuration, session pool, retries, and conservative pacing. 4. Collects search result ASINs up to the requested per-query cap. 5. Visits product detail pages and extracts structured product data. 6. Optionally visits review pages and appends recent reviews. 7. Saves product records using the `product-scraped` pay-per-event charge, then optionally writes price snapshot rows. ### Known Limits - Amazon may still return CAPTCHA pages, even with residential proxies. - Reviews are best-effort because review pages are more aggressively throttled. - Sponsored and organic result cards are both treated as product result cards. - The Actor currently supports `amazon.com` and `amazon.in` only. ### Legal and Ethical Use Use this Actor for legitimate research, analytics, monitoring, and catalog enrichment. You are responsible for complying with Amazon's Conditions of Use and all applicable laws. Do not republish scraped content verbatim, and use conservative limits for recurring runs. ### License Apache-2.0. See `LICENSE`. # Actor input Schema ## `searchKeyword` (type: `array`): One or more product search terms (e.g. 'echo dot', 'iphone 15 case'). Ignored if asinList or categoryUrl is provided. ## `asinList` (type: `array`): Direct product ASINs (10 characters). If non-empty, takes precedence over searchKeyword. ## `categoryUrl` (type: `string`): Full Amazon search/category URL or a single /dp/ URL. If set, takes precedence over searchKeyword. ## `marketplace` (type: `string`): Which Amazon site to scrape. Use 'amazon.com' (US) or 'amazon.in' (India). ## `maxProducts` (type: `integer`): Hard cap on products to scrape per keyword/ASIN list (1-500). ## `includeReviews` (type: `boolean`): Fetch a list of recent reviews for each product (extra requests, may slow the run). ## `maxReviewsPerProduct` (type: `integer`): Cap on reviews fetched per product when includeReviews is true (0-100). ## `trackPriceHistory` (type: `boolean`): Store a daily price snapshot for every scraped product in the dataset. ## `proxyConfig` (type: `object`): Apify proxy settings. RESIDENTIAL is strongly recommended for Amazon. ## `maxRequestsPerMinute` (type: `integer`): Crawl pacing. Lower = stealthier, higher = faster. Amazon tolerates 30/min on residential. ## Actor input object example ```json { "searchKeyword": [ "echo dot" ], "asinList": [ "B08N5WRWNW" ], "marketplace": "amazon.com", "maxProducts": 100, "includeReviews": false, "maxReviewsPerProduct": 10, "trackPriceHistory": true, "proxyConfig": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "maxRequestsPerMinute": 30 } ``` # Actor output Schema ## `results` (type: `string`): Structured product data. Each item is a product with title, ASIN, price, rating, reviews, seller, images, specifications, and availability. # 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 = { "searchKeyword": [ "echo dot" ], "asinList": [ "B08N5WRWNW" ] }; // Run the Actor and wait for it to finish const run = await client.actor("fascinating_lentil/amazon-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 = { "searchKeyword": ["echo dot"], "asinList": ["B08N5WRWNW"], } # Run the Actor and wait for it to finish run = client.actor("fascinating_lentil/amazon-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 '{ "searchKeyword": [ "echo dot" ], "asinList": [ "B08N5WRWNW" ] }' | apify call fascinating_lentil/amazon-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fascinating_lentil/amazon-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon Scraper - Products, Prices & Reviews (.in & .com)", "description": "Scrape Amazon India (amazon.in) and Amazon US (amazon.com) for product data: titles, ASINs, prices, ratings, reviews, sellers, stock, images, specs, badges, and BSR. Search by keyword, ASIN list, or category URL. Residential proxies. Pay per result.", "version": "1.0", "x-build-id": "dPG2pKxv5BIAUlCch" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fascinating_lentil~amazon-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fascinating_lentil-amazon-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fascinating_lentil~amazon-scraper/runs": { "post": { "operationId": "runs-sync-fascinating_lentil-amazon-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fascinating_lentil~amazon-scraper/run-sync": { "post": { "operationId": "run-sync-fascinating_lentil-amazon-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "marketplace" ], "properties": { "searchKeyword": { "title": "Search keywords", "type": "array", "description": "One or more product search terms (e.g. 'echo dot', 'iphone 15 case'). Ignored if asinList or categoryUrl is provided.", "default": [ "echo dot" ], "items": { "type": "string" } }, "asinList": { "title": "ASIN list", "type": "array", "description": "Direct product ASINs (10 characters). If non-empty, takes precedence over searchKeyword.", "items": { "type": "string" } }, "categoryUrl": { "title": "Category or product URL", "type": "string", "description": "Full Amazon search/category URL or a single /dp/ URL. If set, takes precedence over searchKeyword." }, "marketplace": { "title": "Marketplace", "enum": [ "amazon.com", "amazon.in" ], "type": "string", "description": "Which Amazon site to scrape. Use 'amazon.com' (US) or 'amazon.in' (India).", "default": "amazon.com" }, "maxProducts": { "title": "Max products", "minimum": 1, "maximum": 500, "type": "integer", "description": "Hard cap on products to scrape per keyword/ASIN list (1-500).", "default": 100 }, "includeReviews": { "title": "Include reviews", "type": "boolean", "description": "Fetch a list of recent reviews for each product (extra requests, may slow the run).", "default": false }, "maxReviewsPerProduct": { "title": "Max reviews per product", "minimum": 0, "maximum": 100, "type": "integer", "description": "Cap on reviews fetched per product when includeReviews is true (0-100).", "default": 10 }, "trackPriceHistory": { "title": "Track price history", "type": "boolean", "description": "Store a daily price snapshot for every scraped product in the dataset.", "default": true }, "proxyConfig": { "title": "Proxy configuration", "type": "object", "description": "Apify proxy settings. RESIDENTIAL is strongly recommended for Amazon.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }, "maxRequestsPerMinute": { "title": "Requests per minute", "minimum": 5, "maximum": 30, "type": "integer", "description": "Crawl pacing. Lower = stealthier, higher = faster. Amazon tolerates 30/min on residential.", "default": 30 } } }, "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 } } } } } } } } } } ```