# Amazon Search Scrapper (`aadyantha/amazon-search-scrapper`) Actor Collect detailed Amazon product data across all major Amazon domains worldwide. Extract titles, prices, ratings, features, images using simple search keywords—ideal for market research, price tracking, and global catalog building. - **URL**: https://apify.com/aadyantha/amazon-search-scrapper.md - **Developed by:** [Aadyantha Solutions](https://apify.com/aadyantha) (community) - **Categories:** Automation, E-commerce, Lead generation - **Stats:** 8 total users, 4 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $5.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Search & Product Scraper This actor extracts **Amazon product data** based on one or more search keywords. It uses a **two‑stage crawling approach** to balance **speed, reliability, and data completeness**. - Search result pages are crawled to **discover ASINs** - Individual product pages are crawled to **extract detailed product information** - Built with **Playwright**, session pooling, and residential proxies for Amazon stability --- ### Key Capabilities - Multiple search keywords in a single run - Automatic pagination of search results - Configurable maximum results per keyword - Full product‑level data extraction - Supports products **with or without ratings/reviews** - Safe seller extraction using **verify logic (no waiting for optional elements)** - Retry strategy: - **Search pages:** up to 5 retries - **Product pages:** 1 retry - Session pooling + residential proxies for reduced blocking --- ### Input Parameters | Parameter | Type | Required | Default | Description | |--------|------|----------|---------|-------------| | search_strings | Array | Yes | – | Keywords to search on Amazon | | max_results | Number | No | 5 | Maximum number of products per keyword | | domain_code | String | No | `in` | Amazon domain (in, com, co.uk, etc.) | | sort_by | String | No | relevanceblender | Amazon sort option | | proxyConfiguration | Object | No | Apify Residential | Proxy configuration | --- ### Input Example ```json { "search_strings": ["luggage bag", "school backpack"], "max_results": 10, "domain_code": "in", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "countryCode": "IN" } } ```` #### Notes - Each keyword is processed independently - Pagination continues automatically until enough ASINs are discovered - Product crawling stops once `max_results` is reached - Product pages are fetched individually for accuracy *** ### Output Schema Each dataset item represents **one Amazon product**. #### Output Fields | Field | Type | Description | |------|------|-------------| | search\_keyword | String | Keyword used for discovery | | asin | String | Amazon Standard Identification Number | | title | String | Product title | | brand | String | null | Brand name | | price | String | null | Selling price | | mrp | String | null | Maximum retail price | | rating | Number | null | Average customer rating | | reviews\_count | Number | null | Number of reviews | | features | Array | Bullet‑point product features | | images | Array | High‑resolution product image URLs | | seller\_name | String | null | Seller name | | seller\_type | String | Amazon / Third Party | | seller\_profile\_url | String | null | Seller profile link | | product\_url | String | Amazon product page URL | *** ### Output Example ```json { "search_keyword": "luggage bag", "asin": "B0F1FPWF8N", "title": "Skybags Brat Polycarbonate 65 cms Check‑in Luggage", "brand": "Skybags", "price": "₹5,499", "mrp": "₹9,999", "rating": 4.2, "reviews_count": 1384, "features": [ "Polycarbonate hard shell", "4 smooth spinner wheels", "TSA lock" ], "images": [ "https://m.media-amazon.com/images/I/81abc123_SX1000_.jpg" ], "seller_name": "Amazon Retail", "seller_type": "Amazon", "seller_profile_url": "https://www.amazon.in/sp?seller=A1XYZ", "product_url": "https://www.amazon.in/dp/B0F1FPWF8N" } ``` *** ### Recommended Proxy Setup For Amazon scraping, **Residential proxies** are strongly recommended. ```json { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "countryCode": "IN" } ``` - Match proxy country with Amazon domain - Keep Playwright concurrency ≤ 3 for stability *** ### Limitations - Amazon DOM structure may change over time - Prices, sellers, and availability can vary by user/location - Some products may not have ratings or reviews - Excessive concurrency can trigger bot protection *** ### Troubleshooting Tips 1. Use residential proxies (avoid datacenter IPs) 2. Reduce `max_results` if timeouts occur 3. Avoid extremely generic keywords 4. Check Actor logs for blocked pages *** ### Support For issues or feature requests: 📧 **aadyanthasolutions@gmail.com** # Actor input Schema ## `search_strings` (type: `array`): List of keywords to search on Amazon. ## `domain_code` (type: `string`): Select the Amazon domain to scrape — in, com, or co.uk — based on the target marketplace. ## `sort_by` (type: `string`): Sort Amazon search results by relevance, price, reviews, newest arrivals, or best sellers. ## `max_results` (type: `string`): Specify the maximum number of results to fetch for the given search keyword. ## `proxy_config` (type: `object`): Select proxies to be used by your crawler. ## Actor input object example ```json { "search_strings": [ "laptops" ], "domain_code": "in", "sort_by": "relevanceblender", "max_results": "25", "proxy_config": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } } ``` # Actor output Schema ## `overview` (type: `string`): No description # 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 = { "search_strings": [ "laptops" ], "proxy_config": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }; // Run the Actor and wait for it to finish const run = await client.actor("aadyantha/amazon-search-scrapper").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 = { "search_strings": ["laptops"], "proxy_config": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IN", }, } # Run the Actor and wait for it to finish run = client.actor("aadyantha/amazon-search-scrapper").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 '{ "search_strings": [ "laptops" ], "proxy_config": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }' | apify call aadyantha/amazon-search-scrapper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=aadyantha/amazon-search-scrapper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon Search Scrapper", "description": "Collect detailed Amazon product data across all major Amazon domains worldwide.\nExtract titles, prices, ratings, features, images using simple search keywords—ideal for market research, price tracking, and global catalog building.", "version": "0.0", "x-build-id": "JHvOA0pNP2II3xT50" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/aadyantha~amazon-search-scrapper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-aadyantha-amazon-search-scrapper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/aadyantha~amazon-search-scrapper/runs": { "post": { "operationId": "runs-sync-aadyantha-amazon-search-scrapper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/aadyantha~amazon-search-scrapper/run-sync": { "post": { "operationId": "run-sync-aadyantha-amazon-search-scrapper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "search_strings" ], "properties": { "search_strings": { "title": "Search Strings", "type": "array", "description": "List of keywords to search on Amazon.", "items": { "type": "string" } }, "domain_code": { "title": "Domain Code", "type": "string", "description": "Select the Amazon domain to scrape — in, com, or co.uk — based on the target marketplace.", "default": "in" }, "sort_by": { "title": "Sort By", "enum": [ "relevanceblender", "price-asc-rank", "price-desc-rank", "review-rank", "date-desc-rank", "salesrank" ], "type": "string", "description": "Sort Amazon search results by relevance, price, reviews, newest arrivals, or best sellers.", "default": "relevanceblender" }, "max_results": { "title": "Maximum Results", "type": "string", "description": "Specify the maximum number of results to fetch for the given search keyword.", "default": "25" }, "proxy_config": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to be used by your crawler." } } }, "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 } } } } } } } } } } ```