# Amazon Best Sellers Scraper (`scrapeai/amazon-bestsellers-scraper`) Actor Scrape Amazon Best Sellers rankings from Amazon marketplaces, including Amazon.in. Extract rank, title, ASIN, price, rating, review count, product URL, image URL, and category details. Optionally collect additional product information from product pages. - **URL**: https://apify.com/scrapeai/amazon-bestsellers-scraper.md - **Developed by:** [ScrapeAI](https://apify.com/scrapeai) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.99 / 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Best Sellers Scraper Extract Amazon Best Sellers rankings from categories across multiple Amazon marketplaces. Retrieve bestseller rank, product title, ASIN, price, rating, review count, product URL, image URL, category information, and optionally detailed product information for each ranked item. The scraper supports multiple category URLs, handles pagination where applicable, validates extracted data, and exports clean, structured datasets in JSON or CSV formats. ### Features - **Category URL Input** — Scrape Amazon Best Sellers by providing one or more Best Sellers category URLs. - **Multi-Marketplace Support** — Supports Amazon marketplaces including amazon.com, amazon.in, amazon.co.uk, amazon.de, amazon.ca, amazon.com.au, amazon.co.jp, amazon.fr, amazon.it, amazon.es, and more. - **Best Seller Rankings** — Extract bestseller rank, product title, ASIN, price, rating, review count, product URL, image URL, and category details. - **Optional Product Details** — Visit individual product pages to collect additional information such as brand, description, specifications, availability, and multiple product images. - **Configurable Product Limit** — Control the number of products to extract from each Best Sellers category. - **Reliable Data Extraction** — Handles dynamic content, retries failed requests, and validates extracted data for accuracy. - **Structured Output** — Export clean datasets in JSON, CSV, or Excel formats. - **Cloud Ready** — Fully compatible with Apify, including scheduling, proxy rotation, webhooks, datasets, and API integration. ### Use Cases - Monitor Amazon Best Sellers rankings across multiple categories and marketplaces. - Track changes in product rankings, prices, ratings, and review counts over time. - Conduct e-commerce market research and identify trending products. - Analyze competitors' products and category performance. - Build product catalogs using top-selling Amazon products. - Generate business intelligence reports for brands, agencies, and retailers. - Compare Best Sellers across different Amazon marketplaces. - Export structured bestseller data for analytics, dashboards, or inventory planning. #### Example Output ```json { "rank": 6, "asin": "B082LSVT4B", "title": "Ambrane Unbreakable 60W Fast Charging 1.5M Braided Type C to Type C Cable for Smartphones, Tablets, Laptops & Other Type C Devices, PD Technology, 480Mbps Data Sync (RCTT15, Black)", "url": "https://www.amazon.in/Ambrane-Unbreakable-Charging-Braided-Cable/dp/B082LSVT4B", "imageUrl": "https://images-eu.ssl-images-amazon.com/images/I/71MhtZF5NWL._AC_UL600_SR600,400_.jpg", "price": "₹179.00", "rating": "4.0", "reviewCount": 0, "hasPrime": false, "categoryName": "Bestsellers in Electronics", "categoryUrl": "https://www.amazon.in/gp/bestsellers/electronics/", "scrapedAt": "2026-07-20T12:04:03.763Z" } ```` # Actor input Schema ## `mode` (type: `string`): Scraping mode: 'category' to scrape by category slug, 'categoryUrl' to scrape a specific best sellers URL, 'productUrl' to scrape specific product URLs. ## `category` (type: `string`): Best sellers category slug (e.g., electronics, books, toys, kitchen, beauty, clothing). Used when mode is 'category'. ## `categoryUrl` (type: `string`): Direct URL to an Amazon Best Sellers category or subcategory page (e.g., https://www.amazon.in/gp/bestsellers/electronics/). Used when mode is 'categoryUrl'. ## `productUrls` (type: `array`): Array of direct Amazon product page URLs to scrape (used when mode is 'productUrl'). ## `maxItems` (type: `integer`): Maximum number of best seller products to extract (1–100). Amazon shows 50 per page; use 100 for full top-100 list. ## `deepSearch` (type: `boolean`): Visit each product detail page to extract full information (brand, description, technical specs, full images, etc.). Slower but much richer data. ## `extractReviews` (type: `boolean`): Extract customer reviews from product detail pages (requires deepSearch: true). ## `country` (type: `string`): Amazon marketplace to scrape. Defaults to India (amazon.in). ## `headless` (type: `boolean`): Run the browser in headless mode (no visible window). ## `proxyConfiguration` (type: `object`): Proxy settings. Use Apify Proxy with RESIDENTIAL group for reliable Amazon scraping. ## Actor input object example ```json { "mode": "category", "category": "electronics", "productUrls": [], "maxItems": 50, "deepSearch": false, "extractReviews": false, "country": "in", "headless": true } ``` # 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("scrapeai/amazon-bestsellers-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("scrapeai/amazon-bestsellers-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 scrapeai/amazon-bestsellers-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapeai/amazon-bestsellers-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon Best Sellers Scraper", "description": "Scrape Amazon Best Sellers rankings from Amazon marketplaces, including Amazon.in. Extract rank, title, ASIN, price, rating, review count, product URL, image URL, and category details. Optionally collect additional product information from product pages.", "version": "1.0", "x-build-id": "SgFBmoI8uXvffHFwi" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapeai~amazon-bestsellers-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapeai-amazon-bestsellers-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapeai~amazon-bestsellers-scraper/runs": { "post": { "operationId": "runs-sync-scrapeai-amazon-bestsellers-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapeai~amazon-bestsellers-scraper/run-sync": { "post": { "operationId": "run-sync-scrapeai-amazon-bestsellers-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "category", "categoryUrl", "productUrl" ], "type": "string", "description": "Scraping mode: 'category' to scrape by category slug, 'categoryUrl' to scrape a specific best sellers URL, 'productUrl' to scrape specific product URLs.", "default": "category" }, "category": { "title": "Category", "type": "string", "description": "Best sellers category slug (e.g., electronics, books, toys, kitchen, beauty, clothing). Used when mode is 'category'.", "default": "electronics" }, "categoryUrl": { "title": "Category URL", "type": "string", "description": "Direct URL to an Amazon Best Sellers category or subcategory page (e.g., https://www.amazon.in/gp/bestsellers/electronics/). Used when mode is 'categoryUrl'." }, "productUrls": { "title": "Product URLs", "type": "array", "description": "Array of direct Amazon product page URLs to scrape (used when mode is 'productUrl').", "default": [], "items": { "type": "string" } }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of best seller products to extract (1–100). Amazon shows 50 per page; use 100 for full top-100 list.", "default": 50 }, "deepSearch": { "title": "Deep Search", "type": "boolean", "description": "Visit each product detail page to extract full information (brand, description, technical specs, full images, etc.). Slower but much richer data.", "default": false }, "extractReviews": { "title": "Extract Reviews", "type": "boolean", "description": "Extract customer reviews from product detail pages (requires deepSearch: true).", "default": false }, "country": { "title": "Amazon Marketplace", "enum": [ "in", "com", "co.uk", "de", "co.jp", "ca", "com.au", "com.br" ], "type": "string", "description": "Amazon marketplace to scrape. Defaults to India (amazon.in).", "default": "in" }, "headless": { "title": "Headless Mode", "type": "boolean", "description": "Run the browser in headless mode (no visible window).", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Use Apify Proxy with RESIDENTIAL group for reliable Amazon scraping." } } }, "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 } } } } } } } } } } ```