# Amazon Search Links Collection (`wibuild.in/amazon-search-links-collection`) Actor Scrape Amazon search results by keyword across multiple marketplaces with optional brand filtering, pagination, proxy-based geo targeting, and structured product data extraction including title, brand, rating, reviews count, prices, ASIN, image, sponsored flag, and product URL. - **URL**: https://apify.com/wibuild.in/amazon-search-links-collection.md - **Developed by:** [Wibuild](https://apify.com/wibuild.in) (community) - **Categories:** E-commerce, Other - **Stats:** 8 total users, 5 monthly users, 80.9% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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. 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 Results Scraper #### Support@ wibuild.in@gmail.com Scrape structured **Amazon search result product data** by keyword across multiple Amazon marketplaces with optional **brand filtering**, **pagination**, and **geo-targeted proxy support**. Supported domains: - `amazon.com` - `amazon.ca` - `amazon.co.uk` - `amazon.in` - `amazon.de` - `amazon.fr` - `amazon.it` - `amazon.es` - `amazon.co.jp` - `amazon.com.au` - `amazon.com.br` - `amazon.nl` - `amazon.se` - `amazon.com.mx` - `amazon.ae` The actor collects product listings directly from Amazon search result pages and outputs structured product-level data. --- ### Typical use cases - Collect Amazon product listings for **keyword research**. - Monitor **brand visibility** in Amazon search results. - Compare search result products across **different Amazon marketplaces**. - Track **pricing, ratings, and sponsored placements**. - Export product listings to CSV/JSON for **market research**, **BI dashboards**, or **competitive analysis**. --- ### Input The actor accepts a JSON object with the following fields: | Field | Type | Required | Default | Description | |-------|------|----------|---------|-------------| | `searchTerm` | string | **Yes** | – | Full Amazon search query, for example `"Brand_name Search item"`. | | `domain` | string | **Yes** | `com` | Amazon marketplace domain without the `amazon.` prefix. Example: `com`, `in`, `de`, `co.uk`. | | `enableBrandFilter` | boolean | No | `true` | If enabled, the actor attempts to match a brand from the search term with the visible Amazon **Brands** filter and applies it. | | `maxPages` | number | No | `1` | Maximum number of search result pages to scrape. The actor stops early if no more pages are available. | #### Example input ```json { "searchTerm": "LOOM TREE Motor Pumps", "domain": "in", "enableBrandFilter": true, "maxPages": 3 } ```` #### Sample Output ```json { "Brand name": null, "Product name": "LOOM TREE® Battery Charging Port Charger Socket Waterproof Spare Parts Durable| Parts & Accessories | Motorcycle Parts | Other Motorcycle Parts", "Average Rating": "4.0", "Total reviews": "(4)", "Asin": "B0CJ8VCTHC", "discounted price": "₹471", "if Sponsored": false, "Product URL": "https://www.amazon.in/LOOM-Charging-Waterproof-Accessories-Motorcycle/dp/B0CJ8VCTHC/ref=sr_1_9?dib=eyJ2IjoiMSJ9.cUAdMfO7aRnZ8UaCxKr3oUMRoRzgOOi9qoFTKW3kGGaRbzIHrXZvXl4nwfwPrXzvL5K_29x0MSlytGrQLUPx2MavBXYvNIoDTmPowrokvYPjwXWJuj4_hYx0nejQZrgo4WrsOOqLURVe_DUchkKcDOghStWsyf1XZMszuDqbQcWMVEbM4JWJXL8b3RNVarNtKwV5ACe8At_wzKDpf2a6RqfLefl-C-Yl-eNKGBUIdIZ7T7Sc1Uyvm0sm2ig_nj7lSKSdWxBE2NattG15h39sr9PHHnLrs-L1ROWFh1f7hpw.Oj_RcvD8wfIXO27_c43a-lgWTk35m8ek1Ol1yXVQyPc&dib_tag=se&keywords=LOOM+TREE+Motor+Pumps&qid=1773172102&sr=8-9", "Product image": "https://m.media-amazon.com/images/I/61MwWBT2ZVL._AC_UL320_.jpg" } ``` # Actor input Schema ## `searchTerm` (type: `string`): Full Amazon search query. Example: 'hoover vacuum cleaner'. If brand filter is enabled, the scraper will try to match a visible brand from the query. ## `domain` (type: `string`): Amazon marketplace domain to scrape. ## `enableBrandFilter` (type: `boolean`): If enabled, the scraper will inspect the visible Amazon Brands filter and click the brand if it matches the search term. ## `maxPages` (type: `integer`): Maximum number of search result pages to scrape. ## Actor input object example ```json { "searchTerm": "hoover vacuum cleaner", "domain": "in", "enableBrandFilter": true, "maxPages": 2 } ``` # Actor output Schema ## `reviews` (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 = { "searchTerm": "hoover vacuum cleaner", "domain": "in", "enableBrandFilter": true, "maxPages": 2 }; // Run the Actor and wait for it to finish const run = await client.actor("wibuild.in/amazon-search-links-collection").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 = { "searchTerm": "hoover vacuum cleaner", "domain": "in", "enableBrandFilter": True, "maxPages": 2, } # Run the Actor and wait for it to finish run = client.actor("wibuild.in/amazon-search-links-collection").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 '{ "searchTerm": "hoover vacuum cleaner", "domain": "in", "enableBrandFilter": true, "maxPages": 2 }' | apify call wibuild.in/amazon-search-links-collection --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=wibuild.in/amazon-search-links-collection", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon Search Links Collection", "description": "Scrape Amazon search results by keyword across multiple marketplaces with optional brand filtering, pagination, proxy-based geo targeting, and structured product data extraction including title, brand, rating, reviews count, prices, ASIN, image, sponsored flag, and product URL.", "version": "0.0", "x-build-id": "6MSiqToS8yRDtSghj" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/wibuild.in~amazon-search-links-collection/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-wibuild.in-amazon-search-links-collection", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/wibuild.in~amazon-search-links-collection/runs": { "post": { "operationId": "runs-sync-wibuild.in-amazon-search-links-collection", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/wibuild.in~amazon-search-links-collection/run-sync": { "post": { "operationId": "run-sync-wibuild.in-amazon-search-links-collection", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchTerm", "domain" ], "properties": { "searchTerm": { "title": "Search Term", "type": "string", "description": "Full Amazon search query. Example: 'hoover vacuum cleaner'. If brand filter is enabled, the scraper will try to match a visible brand from the query." }, "domain": { "title": "Amazon Domain", "enum": [ "com", "ca", "co.uk", "in", "de", "fr", "it", "es", "co.jp", "com.au", "com.br", "nl", "se", "com.mx", "ae" ], "type": "string", "description": "Amazon marketplace domain to scrape.", "default": "com" }, "enableBrandFilter": { "title": "Enable Brand Filter", "type": "boolean", "description": "If enabled, the scraper will inspect the visible Amazon Brands filter and click the brand if it matches the search term.", "default": true }, "maxPages": { "title": "Max Pages", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of search result pages to scrape.", "default": 100 } } }, "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 } } } } } } } } } } ```