# Amazon Best Sellers Scraper (by Category) (`gurify/amazon-bestsellers-scraper`) Actor Scrape Amazon Best Sellers, New Releases, Movers & Shakers and Most Wished For for any category — rank, ASIN, title, price, rating, reviews, image and URL. No API key. From $0.50 / 1K products. - **URL**: https://apify.com/gurify/amazon-bestsellers-scraper.md - **Developed by:** [Gurify Software](https://apify.com/gurify) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $0.50 / 1,000 products 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 Best Sellers Scraper 🏆 **Scrape Amazon's ranked category lists into clean JSON — for `$0.50 / 1K products`.** Give it Best Sellers / New Releases / Movers & Shakers / Most Wished For URLs for any category; get the **ranked** products with price, rating, reviews, image and link. No login, no API key, no headless-browser tax. > 💸 **$0.50 / 1,000 products** — pay only for products you get. Most Amazon scrapers on the Store charge **$2–4 / 1K**. ### What you get per product | Field | Example | |---|---| | `rank` | `1` | | `asin` | `B08JHCVHTY` | | `title` | `Blink Plus Plan with Monthly Auto-Renewal` | | `price` / `currency` | `11.99` / `USD` | | `rating` / `reviewsCount` | `4.4` / `277113` | | `listType` | `Best Sellers` / `New Releases` / `Movers & Shakers` | | `category` | `electronics` | | `url` | `https://www.amazon.com/dp/B08JHCVHTY` | | `thumbnailUrl` | product image | | `sourceUrl` / `position` | the list URL / `1` | ### Input ```json { "categoryUrls": [ "https://www.amazon.com/gp/bestsellers/electronics/", "https://www.amazon.com/gp/new-releases/books/", "https://www.amazon.com/gp/movers-and-shakers/toys-and-games/" ], "maxItemsPerCategory": 50, "proxyConfiguration": { "useApifyProxy": true } } ```` - **categoryUrls** — Amazon ranked-list URLs. Supported list types: **Best Sellers** (`/gp/bestsellers/…`), **New Releases** (`/gp/new-releases/…`), **Movers & Shakers** (`/gp/movers-and-shakers/…`), **Most Wished For** (`/gp/most-wished-for/…`), **Most Gifted** (`/gp/most-gifted/…`). Works on any Amazon marketplace (`.com`, `.co.uk`, `.de`, …) and any category node. - **maxItemsPerCategory** — products to collect per list (paginated, ~30/page). - **proxyConfiguration** — **Datacenter** works and is cheapest (default). ### Output (one product per row) ```json { "rank": 1, "asin": "B08JHCVHTY", "title": "Blink Plus Plan with Monthly Auto-Renewal", "price": 11.99, "currency": "USD", "rating": 4.4, "reviewsCount": 277113, "listType": "Best Sellers", "category": "electronics", "url": "https://www.amazon.com/dp/B08JHCVHTY", "thumbnailUrl": "https://m.media-amazon.com/images/I/...jpg", "sourceUrl": "https://www.amazon.com/gp/bestsellers/electronics/", "position": 1 } ``` ### Use cases - **Trend & demand tracking** — what's ranking #1–50 in a category, and how it moves day to day. - **Product / niche research** — top sellers, new releases and fast-risers per category. - **Competitor & inventory monitoring** — ratings, review counts and prices of the category leaders. - Pair with the **Amazon Product Detail Scraper** (ASIN → full PDP) to enrich each best-seller. ### Notes - Public ranked-list data only. Respect Amazon's Terms and your local laws. - Returns the server-rendered ranked cards (typically the top ~30–60 per list across pages). - Prices reflect the URL's marketplace; `currency` is parsed per row (USD forced on `amazon.com`). - A blocked page automatically rotates the proxy IP and retries. # Actor input Schema ## `categoryUrls` (type: `array`): Amazon ranked-list URLs — Best Sellers, New Releases, Movers & Shakers, Most Wished For (e.g. https://www.amazon.com/gp/bestsellers/electronics/ or https://www.amazon.com/gp/new-releases/books/). ## `maxItemsPerCategory` (type: `integer`): How many ranked products to collect per list (paginated; ~30 per page). ## `proxyConfiguration` (type: `object`): Datacenter proxy works and is cheapest (default). ## Actor input object example ```json { "categoryUrls": [ "https://www.amazon.com/gp/bestsellers/electronics/", "https://www.amazon.com/gp/new-releases/books/" ], "maxItemsPerCategory": 50, "proxyConfiguration": { "useApifyProxy": 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 = { "categoryUrls": [ "https://www.amazon.com/gp/bestsellers/electronics/", "https://www.amazon.com/gp/new-releases/books/" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("gurify/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 = { "categoryUrls": [ "https://www.amazon.com/gp/bestsellers/electronics/", "https://www.amazon.com/gp/new-releases/books/", ], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("gurify/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 '{ "categoryUrls": [ "https://www.amazon.com/gp/bestsellers/electronics/", "https://www.amazon.com/gp/new-releases/books/" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call gurify/amazon-bestsellers-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gurify/amazon-bestsellers-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon Best Sellers Scraper (by Category)", "description": "Scrape Amazon Best Sellers, New Releases, Movers & Shakers and Most Wished For for any category — rank, ASIN, title, price, rating, reviews, image and URL. No API key. From $0.50 / 1K products.", "version": "0.1", "x-build-id": "IZdeCySdP3mCyQZzy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gurify~amazon-bestsellers-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gurify-amazon-bestsellers-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/gurify~amazon-bestsellers-scraper/runs": { "post": { "operationId": "runs-sync-gurify-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/gurify~amazon-bestsellers-scraper/run-sync": { "post": { "operationId": "run-sync-gurify-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": [ "categoryUrls" ], "properties": { "categoryUrls": { "title": "Category list URLs", "minItems": 1, "type": "array", "description": "Amazon ranked-list URLs — Best Sellers, New Releases, Movers & Shakers, Most Wished For (e.g. https://www.amazon.com/gp/bestsellers/electronics/ or https://www.amazon.com/gp/new-releases/books/).", "items": { "type": "string" } }, "maxItemsPerCategory": { "title": "Max products per category", "minimum": 1, "maximum": 150, "type": "integer", "description": "How many ranked products to collect per list (paginated; ~30 per page).", "default": 50 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Datacenter proxy works and is cheapest (default).", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```