# Amazon Storefront Scraper (`mayeaahhh/amazon-storefront-scraper`) Actor Fast, reliable Amazon scraper using Playwright. Extract product details, pricing, and reviews from any Amazon domain. Optimized for anti-bot bypass and AI-ready data extraction. - **URL**: https://apify.com/mayeaahhh/amazon-storefront-scraper.md - **Developed by:** [Maya](https://apify.com/mayeaahhh) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / 1,000 scraped amazon 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/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 Storefront Scraper A robust, high-performance Playwrightโ€‘based Amazon storefront scraper running on the Apify platform. It paginates through Amazon storefront search listings and enriches items directly from their detail pages, including all variation listings. ### Why use this Actor? - **Dynamic Enrichment**: Go beyond search page results to scrape brand, detailed bullet feature points, Best Sellers Ranks (BSR), and seller names. - **Variation Scraper**: Scrapes both parent products and variation listings seamlessly. - **Targeted Geolocation**: Support for setting specific zip/postal codes to fetch localized prices, delivery structures, and stock statuses. - **Smart Resiliency**: Detects crashed/closed pages or browser contexts and auto-recreates them in real time without losing progress. - **Bypasses Bot Detection**: Built-in support for proxy configurations (including Apify Residential proxies) and automated fallback connections. --- ### Input Parameters Configure the Actor with the following options in your input schema: | Field | Type | Required | Default | Description | |---|---|---|---|---| | `storefrontUrl` | String | No | - | Direct storefront URL to scrape. e.g. `https://www.amazon.com/s?me=ATQQBVXK188KS&marketplaceID=ATVPDKIKX0DER` | | `marketplaces` | Array | No | `[]` | List of custom marketplaces to scrape if `storefrontUrl` is not provided. | | `maxPages` | Integer | No | `5` | Maximum search result pages to paginate through. | | `scrapeDetailPages` | Boolean | No | `true` | When true, visits individual detail pages to grab high-value features. | | `scrapeVariations` | Boolean | No | `true` | When true, recursively scrapes individual variation pages. | | `maxVariations` | Integer | No | `null` | Limit on the number of variations to scrape per parent product (empty to scrape all). | | `detailDelayMs` | Integer | No | `2500` | Delay between visiting product detail pages (in milliseconds) to limit rate-limiting blocks. | | `proxyConfiguration` | Object | No | `{ "useApifyProxy": true }` | Proxy setup to routing requests through proxy networks (highly recommended to use residential proxies). | --- ### Output Data Sample Below is an example of the enriched JSON dataset output format from this Actor: ```json { "asin": "B0C8PWSW7T", "title": "Ultra-Durable USB-C to USB-C Cable (6ft, 100W)", "url": "https://www.amazon.com/dp/B0C8PWSW7T", "price": "14.99", "stars": "4.7", "reviews_count": "1420", "brand": "Anker", "breadcrumbs": "Electronics > Computers & Accessories > Cables & Accessories > Cables", "description": "Experience high-speed charging and exceptional durability with the Anker USB-C to USB-C Cable...", "seller_name": "AnkerDirect", "variant_0_value": "Black / 6ft", "bsr_0_rank": "245", "bsr_0_category": "Computer Cables", "bsr_1_rank": "1084", "bsr_1_category": "Electronics", "loadedcountrycode": "US", "image_main": "https://images-na.ssl-images-amazon.com/images/I/61aW28%2Br-NL.jpg", "image_1": "https://images-na.ssl-images-amazon.com/images/I/61aW28%2Br-NL.jpg", "image_2": "https://images-na.ssl-images-amazon.com/images/I/51H-iPzI4PL.jpg", "image_3": "https://images-na.ssl-images-amazon.com/images/I/61K-KzP6yJL.jpg", "image_4": "", "image_5": "", "image_6": "", "image_7": "", "image_8": "", "image_9": "", "image_10": "", "marketplace": "US" } ```` # Actor input Schema ## `storefrontUrl` (type: `string`): Enter the storefront URL directly. Example: https://www.amazon.com/s?me=ATQQBVXK188KS\&marketplaceID=ATVPDKIKX0DER ## `marketplaces` (type: `array`): Provide a list of custom marketplaces to scrape. (This is ignored if storefrontUrl is provided above). ## `maxPages` (type: `integer`): Maximum storefront search result pages to paginate through. ## `scrapeDetailPages` (type: `boolean`): Visit each individual product detail page (and their variations) to fetch bullet points, images, BSR, and other detail-level attributes. ## `scrapeVariations` (type: `boolean`): Whether to visit and scrape the individual variation listings for each parent product. ## `maxVariations` (type: `integer`): Maximum number of variations to scrape per parent product. Set to 0 to skip variations, or leave empty/null to scrape all. ## `detailDelayMs` (type: `integer`): Delay between page transitions to bypass Amazon's bot detection limits. ## `proxyConfiguration` (type: `object`): Using residential proxies is highly recommended to prevent Amazon from blocking requests. ## Actor input object example ```json { "storefrontUrl": "https://www.amazon.com/s?me=ATQQBVXK188KS&marketplaceID=ATVPDKIKX0DER", "marketplaces": [ { "code": "us", "domain": "www.amazon.com", "seller_id": "ATQQBVXK188KS", "marketplace_id": "ATVPDKIKX0DER", "postal_code": "10001", "locale": "en-US", "currency": "USD" } ], "maxPages": 5, "scrapeDetailPages": true, "scrapeVariations": true, "maxVariations": null, "detailDelayMs": 2500, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `scrapedResults` (type: `string`): The dataset containing all scraped Amazon products and variations. # 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 = { "storefrontUrl": "https://www.amazon.com/s?me=ATQQBVXK188KS&marketplaceID=ATVPDKIKX0DER", "marketplaces": [ { "code": "us", "domain": "www.amazon.com", "seller_id": "ATQQBVXK188KS", "marketplace_id": "ATVPDKIKX0DER", "postal_code": "10001", "locale": "en-US", "currency": "USD" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("mayeaahhh/amazon-storefront-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "storefrontUrl": "https://www.amazon.com/s?me=ATQQBVXK188KS&marketplaceID=ATVPDKIKX0DER", "marketplaces": [{ "code": "us", "domain": "www.amazon.com", "seller_id": "ATQQBVXK188KS", "marketplace_id": "ATVPDKIKX0DER", "postal_code": "10001", "locale": "en-US", "currency": "USD", }], } # Run the Actor and wait for it to finish run = client.actor("mayeaahhh/amazon-storefront-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "storefrontUrl": "https://www.amazon.com/s?me=ATQQBVXK188KS&marketplaceID=ATVPDKIKX0DER", "marketplaces": [ { "code": "us", "domain": "www.amazon.com", "seller_id": "ATQQBVXK188KS", "marketplace_id": "ATVPDKIKX0DER", "postal_code": "10001", "locale": "en-US", "currency": "USD" } ] }' | apify call mayeaahhh/amazon-storefront-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=mayeaahhh/amazon-storefront-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon Storefront Scraper", "description": "Fast, reliable Amazon scraper using Playwright. Extract product details, pricing, and reviews from any Amazon domain. Optimized for anti-bot bypass and AI-ready data extraction.", "version": "0.0", "x-build-id": "HZnZylvFjP96TuKiX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mayeaahhh~amazon-storefront-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mayeaahhh-amazon-storefront-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/mayeaahhh~amazon-storefront-scraper/runs": { "post": { "operationId": "runs-sync-mayeaahhh-amazon-storefront-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/mayeaahhh~amazon-storefront-scraper/run-sync": { "post": { "operationId": "run-sync-mayeaahhh-amazon-storefront-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "storefrontUrl": { "title": "Amazon Storefront URL", "type": "string", "description": "Enter the storefront URL directly. Example: https://www.amazon.com/s?me=ATQQBVXK188KS&marketplaceID=ATVPDKIKX0DER" }, "marketplaces": { "title": "Marketplace Configurations (.env format)", "type": "array", "description": "Provide a list of custom marketplaces to scrape. (This is ignored if storefrontUrl is provided above)." }, "maxPages": { "title": "Max Pages", "minimum": 1, "type": "integer", "description": "Maximum storefront search result pages to paginate through.", "default": 5 }, "scrapeDetailPages": { "title": "Scrape Detail Pages", "type": "boolean", "description": "Visit each individual product detail page (and their variations) to fetch bullet points, images, BSR, and other detail-level attributes.", "default": true }, "scrapeVariations": { "title": "Scrape Variation Pages", "type": "boolean", "description": "Whether to visit and scrape the individual variation listings for each parent product.", "default": true }, "maxVariations": { "title": "Max Variations per Product", "minimum": 0, "type": "integer", "description": "Maximum number of variations to scrape per parent product. Set to 0 to skip variations, or leave empty/null to scrape all.", "default": null }, "detailDelayMs": { "title": "Detail Page Delay (ms)", "minimum": 1000, "type": "integer", "description": "Delay between page transitions to bypass Amazon's bot detection limits.", "default": 2500 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Using residential proxies is highly recommended to prevent Amazon from blocking requests.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```