# AppKittie Keyword Difficulty (`appkittie/appkittie-keyword-difficulty`) Actor Analyze difficulty, popularity, competition, and top apps for one App Store or Google Play keyword. - **URL**: https://apify.com/appkittie/appkittie-keyword-difficulty.md - **Developed by:** [Appkittie Support](https://apify.com/appkittie) (community) - **Categories:** Automation, Integrations, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $100.00 / 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. 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 ## AppKittie Keyword Difficulty Analyze one App Store or Google Play keyword and get difficulty, popularity, traffic, competition, and top-ranking apps. This Actor is designed for ASO research, keyword planning, app idea validation, and quick opportunity scoring before you write metadata or build a new app. ### What Can This Actor Do? - Analyze one keyword for Apple App Store or Google Play. - Return keyword popularity, ranking difficulty, app count, and traffic score. - Include up to 10 top-ranking apps for competitive context. - Support country-specific storefront analysis. ### Common Use Cases - Find ASO keywords with meaningful traffic and manageable competition. - Compare keyword opportunities across app niches. - Inspect which apps already rank for a keyword. - Build keyword shortlists for app titles, subtitles, descriptions, and metadata. - Run lightweight keyword checks from agents or automation workflows. ### Input Required: - `keyword` - The keyword to analyze. Optional: - `country` - ISO 3166-1 alpha-2 storefront country code. Defaults to `US`. - `source` - `apple_mobile` or `google_mobile`. Defaults to `apple_mobile`. - `includeTopApps` - Whether to include top-ranking apps. - `topAppsLimit` - Number of top apps to include. Capped at 10. Use `0` for a compact payload. ### Example ```json { "keyword": "meditation", "country": "US", "source": "apple_mobile", "includeTopApps": true, "topAppsLimit": 10 } ```` ### Output The Actor writes one typed JSON record to the default key-value store under `OUTPUT`. It does not write dataset rows. ```json { "data": { "keyword": "meditation", "country": "US", "source": "apple_mobile", "popularity": 72, "difficulty": 64, "appsCount": 247, "trafficScore": 81, "topApps": [ { "appStoreId": "123456789", "source": "apple_mobile", "title": "Example Meditation App", "icon": "https://...", "developer": "Example Studio", "reviews": 120000, "score": 4.8, "rank": 1 } ] } } ``` ### Limits The Actor analyzes one keyword per run. `topApps` is capped at 10 items. ### Notes - No proxy configuration is required. - No AppKittie API key is required in Actor input. The Actor uses AppKittie's managed API connection internally. - Scores are directional ASO intelligence and should be used for comparison and prioritization. # Actor input Schema ## `keyword` (type: `string`): Keyword to analyze. ## `country` (type: `string`): ISO 3166-1 alpha-2 storefront country code. ## `source` (type: `string`): Store source to analyze. ## `includeTopApps` (type: `boolean`): Include top-ranking apps for the keyword. ## `topAppsLimit` (type: `integer`): Maximum number of top apps to include. Actor runs are capped at 10 top apps. Use 0 for a compact payload. ## Actor input object example ```json { "keyword": "meditation", "country": "US", "source": "apple_mobile", "includeTopApps": true, "topAppsLimit": 10 } ``` # Actor output Schema ## `result` (type: `string`): Direct JSON response from GET /api/v1/keywords/difficulty. The OUTPUT record is typed by key\_value\_store\_schema.json. # 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 = { "keyword": "meditation" }; // Run the Actor and wait for it to finish const run = await client.actor("appkittie/appkittie-keyword-difficulty").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 = { "keyword": "meditation" } # Run the Actor and wait for it to finish run = client.actor("appkittie/appkittie-keyword-difficulty").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 '{ "keyword": "meditation" }' | apify call appkittie/appkittie-keyword-difficulty --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=appkittie/appkittie-keyword-difficulty", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AppKittie Keyword Difficulty", "description": "Analyze difficulty, popularity, competition, and top apps for one App Store or Google Play keyword.", "version": "0.1", "x-build-id": "aJYaEcSA9o3BRkOxp" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/appkittie~appkittie-keyword-difficulty/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-appkittie-appkittie-keyword-difficulty", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/appkittie~appkittie-keyword-difficulty/runs": { "post": { "operationId": "runs-sync-appkittie-appkittie-keyword-difficulty", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/appkittie~appkittie-keyword-difficulty/run-sync": { "post": { "operationId": "run-sync-appkittie-appkittie-keyword-difficulty", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keyword" ], "properties": { "keyword": { "title": "Keyword", "minLength": 1, "maxLength": 255, "type": "string", "description": "Keyword to analyze." }, "country": { "title": "Country", "minLength": 2, "maxLength": 2, "type": "string", "description": "ISO 3166-1 alpha-2 storefront country code.", "default": "US" }, "source": { "title": "Store source", "enum": [ "apple_mobile", "google_mobile" ], "type": "string", "description": "Store source to analyze.", "default": "apple_mobile" }, "includeTopApps": { "title": "Include top apps", "type": "boolean", "description": "Include top-ranking apps for the keyword.", "default": true }, "topAppsLimit": { "title": "Top apps limit", "minimum": 0, "maximum": 10, "type": "integer", "description": "Maximum number of top apps to include. Actor runs are capped at 10 top apps. Use 0 for a compact payload.", "default": 10 } } }, "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 } } } } } } } } } } ```