# Apify Store Ranking Scraper (`taroyamada/apify-store-ranking-radar`) Actor Scrape Apify Store rankings by platform keyword, compare competitor demand, and find low-maintenance Actor opportunities. - **URL**: https://apify.com/taroyamada/apify-store-ranking-radar.md - **Developed by:** [åĪŠéƒŽ åąąį”°](https://apify.com/taroyamada) (community) - **Categories:** Developer tools, Marketing, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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 ## Apify Store Ranking Radar Monitor Apify Store search results by platform keyword and identify Actor opportunities with demand, pricing room, and manageable maintenance risk. ### What It Does The actor queries the official Apify Store API for search terms such as `youtube transcript`, `reddit keyword monitor`, and `meta ad library`. It returns ranked Actor rows with user counts, monthly active users, pricing model, categories, and an opportunity score. This is designed for Actor developers who want to decide what to build next without manually checking Store pages every day. ### Input - `searches`: Platform or use-case search terms. - `sortBy`: Store sort modes: `relevance`, `popularity`, `newest`, `lastUpdate`. - `maxResultsPerSearch`: Number of rows per search/sort pair. - `pricingModel`: Optional filter. - `minUsers30Days`: Filter out low-activity rows. - `includeUnrunnableActors`: Include actors excluded from automatically runnable Store search. - `dryRun`: Emit sample rows without calling the Store API. ### Output Each row includes: - `search` - `sortBy` - `rank` - `slug` - `title` - `totalUsers` - `totalUsers30Days` - `totalRuns` - `pricingModel` - `primaryPriceUsd` - `opportunityScore` - `maintenanceHint` - `url` - `scrapedAt` ### Pricing Recommended launch pricing: - `apify-actor-start`: default `$0.00005` - `apify-default-dataset-item`: `$0.001` per Store actor row - Future opportunity report event: `$0.03` per summary report The actor uses the official Apify Store API, so hosting cost should remain low. Keep platform usage bundled into PPE pricing for transparent Store presentation. ### Local Run ```bash npm test npm start ```` The default input uses `dryRun: true`. # Actor input Schema ## `searches` (type: `array`): Apify Store search terms such as youtube transcript, reddit keyword monitor, or meta ad library. ## `sortBy` (type: `array`): Store sort modes to query. ## `maxResultsPerSearch` (type: `integer`): Maximum Store actors returned per search/sort combination. ## `pricingModel` (type: `string`): Optional Apify Store pricing model filter. ## `minUsers30Days` (type: `integer`): Filter out rows below this monthly active user count. ## `includeUnrunnableActors` (type: `boolean`): Include actors that Apify excludes from automatically runnable search results. ## `dryRun` (type: `boolean`): Emit sample rows without calling the Apify Store API. ## Actor input object example ```json { "searches": [ "youtube transcript", "reddit keyword monitor", "meta ad library" ], "sortBy": [ "popularity", "newest", "lastUpdate" ], "maxResultsPerSearch": 50, "pricingModel": "", "minUsers30Days": 0, "includeUnrunnableActors": false, "dryRun": false } ``` # 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 = { "searches": [ "youtube transcript", "reddit keyword monitor", "meta ad library" ], "sortBy": [ "popularity", "newest", "lastUpdate" ] }; // Run the Actor and wait for it to finish const run = await client.actor("taroyamada/apify-store-ranking-radar").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`ðŸ’ū 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 = { "searches": [ "youtube transcript", "reddit keyword monitor", "meta ad library", ], "sortBy": [ "popularity", "newest", "lastUpdate", ], } # Run the Actor and wait for it to finish run = client.actor("taroyamada/apify-store-ranking-radar").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("ðŸ’ū 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 '{ "searches": [ "youtube transcript", "reddit keyword monitor", "meta ad library" ], "sortBy": [ "popularity", "newest", "lastUpdate" ] }' | apify call taroyamada/apify-store-ranking-radar --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=taroyamada/apify-store-ranking-radar", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Apify Store Ranking Scraper", "description": "Scrape Apify Store rankings by platform keyword, compare competitor demand, and find low-maintenance Actor opportunities.", "version": "0.1", "x-build-id": "cHaIXKWJ0WNWuhZJG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/taroyamada~apify-store-ranking-radar/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-taroyamada-apify-store-ranking-radar", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/taroyamada~apify-store-ranking-radar/runs": { "post": { "operationId": "runs-sync-taroyamada-apify-store-ranking-radar", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/taroyamada~apify-store-ranking-radar/run-sync": { "post": { "operationId": "run-sync-taroyamada-apify-store-ranking-radar", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searches": { "title": "Platform Searches", "type": "array", "description": "Apify Store search terms such as youtube transcript, reddit keyword monitor, or meta ad library.", "items": { "type": "string" } }, "sortBy": { "title": "Sort Modes", "type": "array", "description": "Store sort modes to query.", "items": { "type": "string" } }, "maxResultsPerSearch": { "title": "Max Results per Search", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum Store actors returned per search/sort combination.", "default": 50 }, "pricingModel": { "title": "Pricing Model Filter", "enum": [ "", "FREE", "PAY_PER_EVENT", "PRICE_PER_DATASET_ITEM", "FLAT_PRICE_PER_MONTH" ], "type": "string", "description": "Optional Apify Store pricing model filter.", "default": "" }, "minUsers30Days": { "title": "Min Monthly Active Users", "minimum": 0, "maximum": 1000000, "type": "integer", "description": "Filter out rows below this monthly active user count.", "default": 0 }, "includeUnrunnableActors": { "title": "Include Unrunnable Actors", "type": "boolean", "description": "Include actors that Apify excludes from automatically runnable search results.", "default": false }, "dryRun": { "title": "Dry Run", "type": "boolean", "description": "Emit sample rows without calling the Apify Store API.", "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 } } } } } } } } } } ```