# App Store Keyword Rank Tracker — ASO Rankings (No API Key) (`bovi/aso-keyword-tracker`) Actor Track App Store search rankings for keywords (ASO). For each keyword, get ranked list of apps with position, name, developer, rating, and review count. Uses Apple's open iTunes Search API — no API key needed. Pay per keyword result. - **URL**: https://apify.com/bovi/aso-keyword-tracker.md - **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community) - **Categories:** SEO tools - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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. 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 ## App Store Keyword Rank Tracker — ASO Search Rankings (No API Key) Track how apps rank in Apple App Store search results for specific keywords (ASO — App Store Optimization). Uses Apple's open iTunes Search API — **no API key required**. Pay per result. ### What you get For each keyword → a ranked list of apps showing who appears at each position: | Field | Description | |-------|-------------| | `keyword` | The search keyword | | `position` | Search rank position (1 = top result) | | `app_id` | Numeric Apple app ID | | `bundle_id` | App bundle ID (com.company.app) | | `name` | App name | | `developer` | Developer name | | `rating` | Average user rating | | `rating_count` | Total number of ratings | | `price` | Price (0.0 = free) | | `currency` | Currency code | | `url` | App Store URL | | `icon_url` | App icon URL (512px) | | `genre` | Primary category | | `all_genres` | All categories | | `version` | Current version | | `release_date` | Original release date | | `update_date` | Last update date | | `parse_confidence` | Data quality score 0.0–1.0 | ### Use cases - **ASO monitoring**: track where your app ranks for target keywords - **Competitor research**: see which apps dominate a keyword - **Market analysis**: find what categories / developers own a search space - **Keyword discovery**: see what shows up for related terms ### Usage ```json { "keywords": ["photo editor", "fitness tracker", "meditation app"], "country": "us", "limit": 50 } ```` ### Limits - Apple's Search API returns up to **200 results** per keyword - Supports all App Store country storefronts - Results reflect real-time App Store search rankings # Actor input Schema ## `keywords` (type: `array`): List of search keywords to track rankings for. Each keyword produces a ranked list of apps. Example: \["photo editor", "fitness tracker", "meditation app"]. ## `country` (type: `string`): Two-letter ISO country code for the App Store storefront (e.g. us, gb, de, jp). Default: us. ## `limit` (type: `integer`): How many app results to return per keyword (max 200 per Apple API). Default: 50. ## Actor input object example ```json { "country": "us", "limit": 50 } ``` # Actor output Schema ## `results` (type: `string`): Dataset containing keyword ranking records (keyword, position, app\_id, bundle\_id, name, developer, rating, rating\_count, price, currency, url, icon\_url, genre, country, etc.) # 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 = { "country": "us", "limit": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("bovi/aso-keyword-tracker").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 = { "country": "us", "limit": 50, } # Run the Actor and wait for it to finish run = client.actor("bovi/aso-keyword-tracker").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 '{ "country": "us", "limit": 50 }' | apify call bovi/aso-keyword-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bovi/aso-keyword-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "App Store Keyword Rank Tracker — ASO Rankings (No API Key)", "description": "Track App Store search rankings for keywords (ASO). For each keyword, get ranked list of apps with position, name, developer, rating, and review count. Uses Apple's open iTunes Search API — no API key needed. Pay per keyword result.", "version": "0.1", "x-build-id": "xDsMn06zeMOq6KWmQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bovi~aso-keyword-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bovi-aso-keyword-tracker", "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/bovi~aso-keyword-tracker/runs": { "post": { "operationId": "runs-sync-bovi-aso-keyword-tracker", "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/bovi~aso-keyword-tracker/run-sync": { "post": { "operationId": "run-sync-bovi-aso-keyword-tracker", "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": [ "keywords" ], "properties": { "keywords": { "title": "Keywords to track", "type": "array", "description": "List of search keywords to track rankings for. Each keyword produces a ranked list of apps. Example: [\"photo editor\", \"fitness tracker\", \"meditation app\"].", "items": { "type": "string" } }, "country": { "title": "Country code", "type": "string", "description": "Two-letter ISO country code for the App Store storefront (e.g. us, gb, de, jp). Default: us." }, "limit": { "title": "Results per keyword", "minimum": 1, "maximum": 200, "type": "integer", "description": "How many app results to return per keyword (max 200 per Apple API). Default: 50." } } }, "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 } } } } } } } } } } ```