# Amazon BSR Product Scraper (`data_ops_main/amazon-bsr-product-scraper`) Actor Scrapes Amazon Best Sellers, New Releases, Most Gifted, Most Wished For, and Movers & Shakers product lists across every department and subcategory. - **URL**: https://apify.com/data\_ops\_main/amazon-bsr-product-scraper.md - **Developed by:** [yourlocalhost](https://apify.com/data_ops_main) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 1 total users, 0 monthly users, 50.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.05 / 1,000 amazon bsr actors 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 BSR Product Scraper Scrapes Amazon **Best Sellers**, **New Releases**, **Most Gifted**, **Most Wished For**, and **Movers & Shakers** product lists across every department and subcategory. ### What it does This Actor navigates Amazon's curated ranking pages and extracts structured data for every listed product — name, price, image, BSR rank, department, subcategory, and direct product link. It handles pagination, automatically traverses subcategories, and pushes raw results to the Apify dataset. #### Use cases - **Trending product discovery** — identify the fastest movers and top sellers across Amazon departments - **Competitor price monitoring** — track pricing changes on ranked products over time - **E-commerce sourcing** — find new release and most-gifted opportunities by category - **Analytics pipeline feed** — structured JSON output ready for databases, dashboards, or scoring engines ### Input | Field | Type | Required | Default | Description | |-------|------|----------|---------|-------------| | `amazonDomain` | string | No | `https://www.amazon.co.uk` | Base Amazon domain URL to scrape from | | `categories` | array | No | All 5 list types | Which BSR list types to scrape: `Best-Sellers`, `new-releases`, `most-gifted`, `most-wished-for`, `movers-and-shakers` | | `maxSubcategoriesPerDepartment` | integer | No | `0` (unlimited) | Maximum subcategories to scrape per department | | `maxProductsPerRun` | integer | No | `0` (unlimited) | Maximum total products to scrape across all categories | | `proxyConfiguration` | object | No | No proxy | Proxy settings — **residential proxies recommended**, Amazon blocks scrapers aggressively | #### Example input ```json { "amazonDomain": "https://www.amazon.co.uk", "categories": ["Best-Sellers", "movers-and-shakers"], "maxSubcategoriesPerDepartment": 5, "maxProductsPerRun": 100 } ```` ### Output Each product is pushed as a separate record to the Apify dataset. | Field | Type | Description | |-------|------|-------------| | `productName` | string | Full product title | | `productPrice` | string | null | Displayed price (e.g. `"£29.99"`) | | `productImage` | string | null | Product image URL | | `productLink` | string | Direct URL to the product page | | `productRank` | integer | null | BSR rank position | | `listType` | string | Which list the product was found on (e.g. `"Best-Sellers"`) | | `department` | string | Top-level Amazon department | | `subcategory` | string | null | Subcategory within the department | | `scrapedAt` | string | ISO 8601 date-time of extraction | #### Example output ```json { "productName": "Anker USB-C Fast Charger 67W", "productPrice": "£29.99", "productImage": "https://m.media-amazon.com/images/I/example.jpg", "productLink": "https://www.amazon.co.uk/dp/B0EXAMPLE", "productRank": 1, "listType": "Best-Sellers", "department": "Electronics", "subcategory": "Chargers", "scrapedAt": "2026-03-06T14:30:00.000Z" } ``` ### How to run #### On Apify Platform 1. Go to the Actor's page on [Apify Console](https://console.apify.com) 2. Configure the input fields in the UI 3. Click **Start** and wait for the run to finish 4. Download results from the **Dataset** tab in JSON, CSV, or Excel format #### Locally ```bash apify run ``` ### Deploy to Apify ```bash apify login apify push ``` ### Built with - [Apify SDK](https://docs.apify.com/sdk/js/) — actor framework and dataset management - [Playwright](https://playwright.dev/) — browser automation for rendering Amazon pages # Actor input Schema ## `amazonDomain` (type: `string`): Base Amazon domain URL to scrape from ## `categories` (type: `array`): Which BSR list types to scrape. Leave empty to scrape all. ## `maxSubcategoriesPerDepartment` (type: `integer`): Maximum number of subcategories to scrape per department (0 = unlimited) ## `maxProductsPerRun` (type: `integer`): Maximum total number of products to scrape across all categories (0 = unlimited) ## `proxyConfiguration` (type: `object`): Proxy settings. Amazon blocks scrapers aggressively — residential proxies recommended. ## Actor input object example ```json { "amazonDomain": "https://www.amazon.co.uk", "categories": [ "Best-Sellers" ], "maxSubcategoriesPerDepartment": 0, "maxProductsPerRun": 0, "proxyConfiguration": { "useApifyProxy": 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 = { "categories": [ "Best-Sellers" ] }; // Run the Actor and wait for it to finish const run = await client.actor("data_ops_main/amazon-bsr-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 = { "categories": ["Best-Sellers"] } # Run the Actor and wait for it to finish run = client.actor("data_ops_main/amazon-bsr-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 '{ "categories": [ "Best-Sellers" ] }' | apify call data_ops_main/amazon-bsr-product-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=data_ops_main/amazon-bsr-product-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon BSR Product Scraper", "description": "Scrapes Amazon Best Sellers, New Releases, Most Gifted, Most Wished For, and Movers & Shakers product lists across every department and subcategory.", "version": "1.0", "x-build-id": "Fh6hMLxZ6oPeYAkrQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/data_ops_main~amazon-bsr-product-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-data_ops_main-amazon-bsr-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/data_ops_main~amazon-bsr-product-scraper/runs": { "post": { "operationId": "runs-sync-data_ops_main-amazon-bsr-product-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/data_ops_main~amazon-bsr-product-scraper/run-sync": { "post": { "operationId": "run-sync-data_ops_main-amazon-bsr-product-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "amazonDomain": { "title": "Amazon Domain", "type": "string", "description": "Base Amazon domain URL to scrape from", "default": "https://www.amazon.co.uk" }, "categories": { "title": "Categories to Scrape", "type": "array", "description": "Which BSR list types to scrape. Leave empty to scrape all.", "default": [ "Best-Sellers", "new-releases", "most-gifted", "most-wished-for", "movers-and-shakers" ], "items": { "type": "string" } }, "maxSubcategoriesPerDepartment": { "title": "Max Subcategories per Department", "minimum": 0, "type": "integer", "description": "Maximum number of subcategories to scrape per department (0 = unlimited)", "default": 0 }, "maxProductsPerRun": { "title": "Max Products per Run", "minimum": 0, "type": "integer", "description": "Maximum total number of products to scrape across all categories (0 = unlimited)", "default": 0 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Amazon blocks scrapers aggressively — residential proxies recommended.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```