# Amazon Ranked Keywords Analyzer (`opspilot.cc/amazon-ranked-keywords-analyzer`) Actor Discover What Keywords Your Products Rank For on Amazon Instantly find all the search keywords an Amazon product ranks for — along with search volume, ranking positions, and competitive insights. Perfect for product research, competitor analysis, and Amazon SEO optimization. - **URL**: https://apify.com/opspilot.cc/amazon-ranked-keywords-analyzer.md - **Developed by:** [wang wei](https://apify.com/opspilot.cc) (community) - **Categories:** E-commerce, SEO tools - **Stats:** 19 total users, 9 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $0.17 / 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 Ranked Keywords Analyzer Discover what keywords an Amazon ASIN ranks for — search volume, ranking positions, ratings, pricing, and competitive data across major Amazon marketplaces. ### Input | Field | Type | Description | |---|---|---| | `asin` | string | Amazon Standard Identification Number. Supports comma/newline-separated multiple ASINs. Leave empty to use the default test ASIN (B0C2JXSHSK). | | `marketplace` | select | Amazon marketplace location. Options: United States (default), Egypt, Saudi Arabia, United Arab Emirates. | | `lang` | string | Language code for keyword data. Default: English. | | `max_keywords` | integer | Maximum number of keyword results to return per ASIN (1–1000). Default: 100. | | `ignore_synonyms` | boolean | Ignore highly similar keyword variants. Enable to return only core keywords. Default: false. | ### Output Each dataset item contains: - **keyword** — The search keyword the ASIN ranks for - **searchVolume** — Monthly search volume - **rankGroup / rankAbsolute** — Ranking positions - **isBestSeller / isAmazonChoice** — Badge flags - **rating / ratingVotes** — Customer ratings - **priceFrom / priceTo** — Price range - **deliveryMessage** — Delivery info - Plus: `domain`, `title`, `url`, `asin`, `imageUrl`, `currency`, `seResultsCount` ### Quick Start ```bash ## Local run INPUT_ASIN=B0C2JXSHSK node src/main.js ## Run with Apify CLI apify run ## Push to Apify apify push ```` ### Environment Variables Credentials are pre-configured in `actor.json` — no secrets setup required. | Variable | Description | |---|---| | `API_EMAIL` | DataForSEO account email | | `API_PASSWORD` | DataForSEO API password | # Actor input Schema ## `asin` (type: `string`): Amazon Standard Identification Number. Supports comma-separated multiple ASINs. Leave empty to use the default test ASIN (B0C2JXSHSK). How to find: amazon.com/dp/B00R92CL5E → product URL contains ASIN. ## `marketplace` (type: `string`): Amazon marketplace location. ## `lang` (type: `string`): Language code for keyword data. Default: English. ## `max_keywords` (type: `integer`): Maximum number of keyword results to return per ASIN (1–1000). Default: 100. ## `ignore_synonyms` (type: `boolean`): Ignore highly similar keyword variants. Enable to return only core keywords. ## Actor input object example ```json { "marketplace": "United States", "lang": "English", "max_keywords": 100, "ignore_synonyms": false } ``` # Actor output Schema ## `keywords` (type: `string`): Each item represents a keyword that the ASIN ranks for, with ranking, volume, and competitive data. # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("opspilot.cc/amazon-ranked-keywords-analyzer").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 = {} # Run the Actor and wait for it to finish run = client.actor("opspilot.cc/amazon-ranked-keywords-analyzer").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 '{}' | apify call opspilot.cc/amazon-ranked-keywords-analyzer --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=opspilot.cc/amazon-ranked-keywords-analyzer", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon Ranked Keywords Analyzer", "description": "Discover What Keywords Your Products Rank For on Amazon\n\nInstantly find all the search keywords an Amazon product ranks for — along with search volume, ranking positions, and competitive insights. Perfect for product research, competitor analysis, and Amazon SEO optimization.", "version": "0.1", "x-build-id": "cZ8ldsJgsLO9YyKgO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/opspilot.cc~amazon-ranked-keywords-analyzer/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-opspilot.cc-amazon-ranked-keywords-analyzer", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/opspilot.cc~amazon-ranked-keywords-analyzer/runs": { "post": { "operationId": "runs-sync-opspilot.cc-amazon-ranked-keywords-analyzer", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/opspilot.cc~amazon-ranked-keywords-analyzer/run-sync": { "post": { "operationId": "run-sync-opspilot.cc-amazon-ranked-keywords-analyzer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "asin": { "title": "ASIN", "type": "string", "description": "Amazon Standard Identification Number. Supports comma-separated multiple ASINs. Leave empty to use the default test ASIN (B0C2JXSHSK).\n\nHow to find: amazon.com/dp/B00R92CL5E → product URL contains ASIN." }, "marketplace": { "title": "Marketplace", "enum": [ "United States", "Egypt", "Saudi Arabia", "United Arab Emirates" ], "type": "string", "description": "Amazon marketplace location.", "default": "United States" }, "lang": { "title": "Language", "type": "string", "description": "Language code for keyword data. Default: English.", "default": "English" }, "max_keywords": { "title": "Results per ASIN", "type": "integer", "description": "Maximum number of keyword results to return per ASIN (1–1000). Default: 100.", "default": 100 }, "ignore_synonyms": { "title": "Ignore Synonyms", "type": "boolean", "description": "Ignore highly similar keyword variants. Enable to return only core keywords.", "default": 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 } } } } } } } } } } ```