# AppKittie Ad Search (`appkittie/appkittie-ads`) Actor Search and filter mobile app ads through the AppKittie API. - **URL**: https://apify.com/appkittie/appkittie-ads.md - **Developed by:** [Appkittie Support](https://apify.com/appkittie) (community) - **Categories:** Developer tools, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $250.00 / 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 Ads Search mobile app ads across Meta and Google ad libraries, or fetch one complete ad record with creative details and advertised-app context. This Actor is useful for creative research, competitor monitoring, ad inspiration, market validation, and finding which apps are actively buying distribution. ### What Can This Actor Do? - Search ads by keyword, app, developer, category, country, surface, status, ad source, media type, date range, app downloads, and app revenue. - Fetch one ad by `adId` for a more complete creative record. - Return ad copy, media URLs, landing links, activity dates, placement metadata, and advertised-app metrics. - Use `compact` view for lighter automation-friendly search results. ### Common Use Cases - Find active ads for high-revenue apps in a category. - Study hooks, CTAs, headlines, captions, and creative formats from competitors. - Discover apps scaling through Meta or Google ads. - Build inspiration feeds for new ad concepts. - Monitor whether an app is still running a specific creative. ### Input Choose an `operation`: - `search` - Calls `GET /api/v1/ads` and returns up to 10 matching ads. - `details` - Calls `GET /api/v1/ads/{adId}` and returns one complete ad record. Use `view: "compact"` when you only need identity, status, copy, and app metrics. Use `view: "full"` when you also need media URLs and richer creative fields. ### Example: Search Ads ```json { "operation": "search", "search": "meal plan", "adSource": "meta", "mediaType": "video", "status": "active", "categories": ["Health & Fitness"], "minAppRevenue": 10000, "sortBy": "start_date", "sortOrder": "desc", "limit": 10 } ```` ### Example: Get Ad Details ```json { "operation": "details", "adId": "meta_1234567890" } ``` ### Output The Actor writes one typed JSON record to the default key-value store under `OUTPUT`. It does not write dataset rows. Search output: ```json { "data": [ { "ad_doc_id": "meta_1234567890", "ad_source": "meta", "type": "video", "is_active": true, "title": "Start your meal plan today", "cta_text": "Install Now", "start_date": 1735689600, "app_slug": "app-example-id123456789", "app_title": "Example App", "category": "Health & Fitness", "developer": "Example Studio", "app_downloads": 85000, "app_revenue": 42000 } ], "pagination": { "nextCursor": 10, "totalCount": 152 } } ``` Detail output includes the ad plus an `app` summary: ```json { "data": { "ad_doc_id": "meta_1234567890", "ad_source": "meta", "type": "video", "src": "https://...", "poster": "https://...", "body": "Track meals in seconds.", "link_url": "https://...", "app": { "app_slug": "app-example-id123456789", "title": "Example App", "source": "apple_mobile", "downloads": 85000, "revenue": 42000 } } } ``` ### Limits and Pagination Search runs are capped at 10 returned ads. Use `pagination.nextCursor` as the next run's `cursor` to continue paging through results. Detail operations return one ad per run. ### Notes - No proxy configuration is required. - No AppKittie API key is required in Actor input. The Actor uses AppKittie's managed API connection internally. - Source ad-library identifiers that should not be exposed are redacted from the response. # Actor input Schema ## `operation` (type: `string`): Choose which AppKittie ads endpoint to call. ## `adId` (type: `string`): Required for details. Use an ad document ID returned by ad search or GET /api/v1/ads. ## `search` (type: `string`): Full-text search across selected ad and app fields. ## `textSearchFields` (type: `array`): Fields used for full-text search when a search query is provided. Valid values: creative\_text, title, body, caption, description, label, cta\_text, page\_name, developer, app\_title, category. ## `view` (type: `string`): Use compact for lighter responses without media URLs. ## `appId` (type: `string`): Optional app filter. Accepts AppKittie slug, numeric App Store ID, Google Play package name, or store URL. ## `adSource` (type: `string`): Filter by ad library source. ## `mediaType` (type: `string`): Filter by creative media type. ## `status` (type: `string`): Filter active or inactive ads. ## `categories` (type: `array`): App categories to include. ## `excludedCategories` (type: `array`): App categories to exclude. ## `adLanguages` (type: `array`): Representative country codes mapped to ad languages, such as US or DE. ## `excludedAdLanguages` (type: `array`): Representative country codes whose mapped ad languages should be excluded. ## `countries` (type: `array`): Country or region codes where ads were shown. ## `excludedCountries` (type: `array`): Country or region codes to exclude. ## `surfaces` (type: `array`): Publisher surfaces to include. ## `excludedSurfaces` (type: `array`): Publisher surfaces to exclude. ## `developer` (type: `string`): Exact app developer name. ## `startedAfter` (type: `integer`): Unix timestamp in seconds. Returns ads that started after this date. ## `startedBefore` (type: `integer`): Unix timestamp in seconds. Returns ads that started before this date. ## `endedAfter` (type: `integer`): Unix timestamp in seconds. Returns ads that ended after this date. ## `endedBefore` (type: `integer`): Unix timestamp in seconds. Returns ads that ended before this date. ## `minAppDownloads` (type: `integer`): Minimum estimated monthly downloads for the advertised app. ## `maxAppDownloads` (type: `integer`): Maximum estimated monthly downloads for the advertised app. ## `minAppRevenue` (type: `integer`): Minimum estimated monthly revenue for the advertised app. ## `maxAppRevenue` (type: `integer`): Maximum estimated monthly revenue for the advertised app. ## `limit` (type: `integer`): Number of ads to return. Actor runs are capped at 10 returned ads. ## `cursor` (type: `integer`): Pagination offset. Use nextCursor from a previous response. ## `sortBy` (type: `string`): Field used for sorting. ## `sortOrder` (type: `string`): Sort direction. ## Actor input object example ```json { "operation": "search", "search": "fitness", "view": "full", "adSource": "all", "mediaType": "all", "status": "all", "limit": 10, "sortBy": "start_date", "sortOrder": "desc" } ``` # Actor output Schema ## `result` (type: `string`): Direct JSON response from the selected AppKittie ads operation. 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 = { "search": "fitness" }; // Run the Actor and wait for it to finish const run = await client.actor("appkittie/appkittie-ads").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 = { "search": "fitness" } # Run the Actor and wait for it to finish run = client.actor("appkittie/appkittie-ads").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 '{ "search": "fitness" }' | apify call appkittie/appkittie-ads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=appkittie/appkittie-ads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AppKittie Ad Search", "description": "Search and filter mobile app ads through the AppKittie API.", "version": "0.2", "x-build-id": "fiUa9nQV2HVNpFThV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/appkittie~appkittie-ads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-appkittie-appkittie-ads", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/appkittie~appkittie-ads/runs": { "post": { "operationId": "runs-sync-appkittie-appkittie-ads", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/appkittie~appkittie-ads/run-sync": { "post": { "operationId": "run-sync-appkittie-appkittie-ads", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "operation": { "title": "Operation", "enum": [ "search", "details" ], "type": "string", "description": "Choose which AppKittie ads endpoint to call.", "default": "search" }, "adId": { "title": "Ad ID", "minLength": 1, "type": "string", "description": "Required for details. Use an ad document ID returned by ad search or GET /api/v1/ads." }, "search": { "title": "Search query", "type": "string", "description": "Full-text search across selected ad and app fields." }, "textSearchFields": { "title": "Text search fields", "type": "array", "description": "Fields used for full-text search when a search query is provided. Valid values: creative_text, title, body, caption, description, label, cta_text, page_name, developer, app_title, category.", "items": { "type": "string" } }, "view": { "title": "Response view", "enum": [ "full", "compact" ], "type": "string", "description": "Use compact for lighter responses without media URLs.", "default": "full" }, "appId": { "title": "App identifier", "type": "string", "description": "Optional app filter. Accepts AppKittie slug, numeric App Store ID, Google Play package name, or store URL." }, "adSource": { "title": "Ad source", "enum": [ "all", "meta", "google" ], "type": "string", "description": "Filter by ad library source.", "default": "all" }, "mediaType": { "title": "Media type", "enum": [ "all", "image", "video" ], "type": "string", "description": "Filter by creative media type.", "default": "all" }, "status": { "title": "Status", "enum": [ "all", "active", "inactive" ], "type": "string", "description": "Filter active or inactive ads.", "default": "all" }, "categories": { "title": "Categories", "uniqueItems": true, "type": "array", "description": "App categories to include.", "items": { "type": "string", "enum": [ "Books", "Business", "Education", "Entertainment", "Finance", "Food & Drink", "Games", "Graphics & Design", "Health & Fitness", "Lifestyle", "Magazines & Newspapers", "Medical", "Music", "Navigation", "News", "Photo & Video", "Productivity", "Reference", "Shopping", "Social Networking", "Sports", "Travel", "Utilities", "Weather", "Developer Tools", "Kids", "Safari Extensions", "Auto & Vehicles", "Beauty", "Comics", "Communication", "Dating", "Events", "House & Home", "Libraries & Demo", "Parenting", "Personalization" ] } }, "excludedCategories": { "title": "Excluded categories", "uniqueItems": true, "type": "array", "description": "App categories to exclude.", "items": { "type": "string", "enum": [ "Books", "Business", "Education", "Entertainment", "Finance", "Food & Drink", "Games", "Graphics & Design", "Health & Fitness", "Lifestyle", "Magazines & Newspapers", "Medical", "Music", "Navigation", "News", "Photo & Video", "Productivity", "Reference", "Shopping", "Social Networking", "Sports", "Travel", "Utilities", "Weather", "Developer Tools", "Kids", "Safari Extensions", "Auto & Vehicles", "Beauty", "Comics", "Communication", "Dating", "Events", "House & Home", "Libraries & Demo", "Parenting", "Personalization" ] } }, "adLanguages": { "title": "Ad language countries", "type": "array", "description": "Representative country codes mapped to ad languages, such as US or DE.", "items": { "type": "string", "minLength": 2 } }, "excludedAdLanguages": { "title": "Excluded ad language countries", "type": "array", "description": "Representative country codes whose mapped ad languages should be excluded.", "items": { "type": "string", "minLength": 2 } }, "countries": { "title": "Countries", "type": "array", "description": "Country or region codes where ads were shown.", "items": { "type": "string", "minLength": 2 } }, "excludedCountries": { "title": "Excluded countries", "type": "array", "description": "Country or region codes to exclude.", "items": { "type": "string", "minLength": 2 } }, "surfaces": { "title": "Surfaces", "type": "array", "description": "Publisher surfaces to include.", "items": { "type": "string", "minLength": 1 } }, "excludedSurfaces": { "title": "Excluded surfaces", "type": "array", "description": "Publisher surfaces to exclude.", "items": { "type": "string", "minLength": 1 } }, "developer": { "title": "Developer", "type": "string", "description": "Exact app developer name." }, "startedAfter": { "title": "Started after", "minimum": 0, "type": "integer", "description": "Unix timestamp in seconds. Returns ads that started after this date." }, "startedBefore": { "title": "Started before", "minimum": 0, "type": "integer", "description": "Unix timestamp in seconds. Returns ads that started before this date." }, "endedAfter": { "title": "Ended after", "minimum": 0, "type": "integer", "description": "Unix timestamp in seconds. Returns ads that ended after this date." }, "endedBefore": { "title": "Ended before", "minimum": 0, "type": "integer", "description": "Unix timestamp in seconds. Returns ads that ended before this date." }, "minAppDownloads": { "title": "Minimum app downloads", "minimum": 0, "type": "integer", "description": "Minimum estimated monthly downloads for the advertised app." }, "maxAppDownloads": { "title": "Maximum app downloads", "minimum": 0, "type": "integer", "description": "Maximum estimated monthly downloads for the advertised app." }, "minAppRevenue": { "title": "Minimum app revenue", "minimum": 0, "type": "integer", "description": "Minimum estimated monthly revenue for the advertised app." }, "maxAppRevenue": { "title": "Maximum app revenue", "minimum": 0, "type": "integer", "description": "Maximum estimated monthly revenue for the advertised app." }, "limit": { "title": "Limit", "minimum": 1, "maximum": 10, "type": "integer", "description": "Number of ads to return. Actor runs are capped at 10 returned ads.", "default": 10 }, "cursor": { "title": "Cursor", "minimum": 0, "type": "integer", "description": "Pagination offset. Use nextCursor from a previous response." }, "sortBy": { "title": "Sort by", "enum": [ "start_date", "end_date", "app_downloads", "app_revenue", "app_released_timestamp", "app_updated_timestamp" ], "type": "string", "description": "Field used for sorting.", "default": "start_date" }, "sortOrder": { "title": "Sort order", "enum": [ "asc", "desc" ], "type": "string", "description": "Sort direction.", "default": "desc" } } }, "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 } } } } } } } } } } ```