# Apple App Store Ads Scraper (`lexis-solutions/apple-app-store-ads-scraper`) Actor Scrape Apple’s Ad Repository to extract App Store ad creatives, formats, targeting, and impression data by country for competitor research, ad intelligence, and market analysis at scale with structured JSON output. - **URL**: https://apify.com/lexis-solutions/apple-app-store-ads-scraper.md - **Developed by:** [Lexis Solutions](https://apify.com/lexis-solutions) (community) - **Categories:** AI, E-commerce, Lead generation - **Stats:** 3 total users, 2 monthly users, 94.4% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.99 / 1,000 ads 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 ## 🍎 Apple Ads Scraper ![Apple Ads Scraper](https://i.ibb.co/twHWJnfY/Screenshot-2026-06-15-at-7-37-53-PM.png) ### ❓ What is Apple Ads Scraper? The Apple Ads Scraper extracts ad data from **Apple's Ad Repository**, Apple's public ad transparency database for App Store ads. It automates data collection and returns structured results for individual ads β€” including the app, developer, ad format, targeting settings, and creative assets. It is designed for app store ad monitoring, competitor research, ad creative analysis, and building structured datasets of App Store advertising activity. ### 🌍 Why scrape Apple's Ad? Apple's Ad publishes information about ads shown in the App Store as part of Apple's ad transparency commitments. Scraping this data allows you to collect structured information about ad creatives, formats, and targeting in one dataset, making it easier to analyze App Store advertising at scale. Scraping the Apple Ad allows you to: - Discover which apps and developers are running App Store ads, by country - Collect structured metadata such as ad placement, format, targeting, and impression dates - Track ad creatives (images, videos, icons, descriptions) used by an app or developer - Analyze competitor advertising strategies in the App Store - Build datasets for ad intelligence, market research, or compliance monitoring - Compare ad activity across European markets over time This is especially useful for app marketers, competitive intelligence teams, ad tech platforms, and researchers. ### πŸ“₯ Input ```json { "countryOrRegion": ["BE", "FR", "DE"], "datePreset": "LAST_90_DAYS", "maxItems": 5, "proxyConfiguration": { "useApifyProxy": false } } ```` To filter by a specific app or developer, provide both `id` and `type`: ```json { "countryOrRegion": ["BE"], "type": "APP", "id": "6467693181", "maxItems": 5, "proxyConfiguration": { "useApifyProxy": false } } ``` #### ⚠️ Input restrictions - **`countryOrRegion` is required** and must contain at least one country code. - **`datePreset` defaults to `LAST_90_DAYS`** if not provided. Other accepted values are `LAST_180_DAYS` and `LAST_YEAR`. - **If `id` is provided, `type` (`APP` or `DEVELOPER`) must also be provided** β€” providing an `id` without a `type` will fail input validation. ### πŸ“€ Output ```json [ { "adId": "53b898529fed93c5ebcb39a302ce5054", "appId": 6467693181, "appName": "Elemental", "developerId": 917063289, "developerName": "Synchronized Web Solutions", "legalName": "Synchronized Web Solutions", "placement": "APPSTORE_SEARCH_RESULTS", "format": "Icon + Asset Ad", "subFormat": null, "countryOrRegion": "BE", "audienceRefinement": { "ageTarget": false, "genderTarget": false, "locationTarget": false, "customerTypeTarget": false }, "firstImpressionDate": "Over 1 Year Ago", "lastImpressionDate": "2026-06-10 00:00:00.0", "defaultLanguageTag": "en-GB", "defaultLanguageDisplayName": "English (United Kingdom)", "defaultPreviewDevice": "iphone_6_7", "adBanner": { "joeColor": null, "iconPictureUrl": "https://is5-ssl.mzstatic.com/image/thumb/Purple211/v4/13/f5/12/13f51293-425f-1ecf-53c6-87167aff6ac3/AppIcon-0-0-1x_U007ephone-0-1-85-220.png/1024x1024.png", "subtitle": null, "primaryCategory": "Games", "inAppPurchases": false, "promotionalText": "Minor updates and bug fixes.", "editorialBadge": false, "shortDescription": "Elemental is a puzzle game where you mix and match elements to discover new ones..." }, "adAssets": [ { "videoUrl": null, "pictureUrl": "https://is5-ssl.mzstatic.com/image/thumb/PurpleSource211/v4/df/50/e7/df50e776-2a9a-fd62-c186-3298f3b3db0f/IMG_1072.PNG/2796x1290.png", "order": 1, "height": 2796, "width": 1290, "orientation": "PORTRAIT" } ], "appIconVariations": [], "adLocaleVariations": [] } ] ``` ### Need to scrape other App Store data? Check out our other scrapers on Apify: - [Bing Ads Scraper](https://apify.com/lexis-solutions/bing-ads-scraper) - [Snapchat Ads Scraper](https://apify.com/lexis-solutions/snapchat-ads-scraper) - [Reddit Ads Scraper](https://apify.com/lexis-solutions/reddit-ads-scraper) - [Pinterest Ads Scraper](https://apify.com/lexis-solutions/pinterest-ads-scraper) - [TikTok Top Ads Scraper](https://apify.com/lexis-solutions/tiktok-top-ads-scraper) *** πŸ‘€ p.s. Got feedback or need an extension? Lexis Solutions is a [certified Apify Partner](https://apify.com/partners/find). We can help you with custom solutions or data extraction projects. Contact us over [Email](mailto:scraping@lexis.solutions) or [LinkedIn](https://www.linkedin.com/company/lexis-solutions) ### Support Our Work πŸ’ If you're happy with our work and scrapers, you're welcome to leave us a company review [here](https://apify.com/partners/find/lexis-solutions/review) and leave a review for the scrapers you're subscribed to. It will take you less than a minute but it will mean a lot to us! ### Image Credit Image Credits: [Apple Ad Repository](https://adrepository.apple.com/) # Actor input Schema ## `countryOrRegion` (type: `array`): Country or region codes to fetch ads for. ## `datePreset` (type: `string`): Restrict results to ads with activity within this time range. ## `type` (type: `string`): Whether "id" refers to an app or a developer. Required if "id" is set. ## `id` (type: `string`): App ID or developer ID to filter ads by. Requires "type" to also be set. ## `maxItems` (type: `integer`): The maximum number of ads to fetch. ## `proxyConfiguration` (type: `object`): Your proxy configuration from Apify. ## Actor input object example ```json { "countryOrRegion": [ "BE" ], "datePreset": "LAST_90_DAYS", "maxItems": 5, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `overview` (type: `string`): No description # 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 = { "countryOrRegion": [ "BE" ] }; // Run the Actor and wait for it to finish const run = await client.actor("lexis-solutions/apple-app-store-ads-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "countryOrRegion": ["BE"] } # Run the Actor and wait for it to finish run = client.actor("lexis-solutions/apple-app-store-ads-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "countryOrRegion": [ "BE" ] }' | apify call lexis-solutions/apple-app-store-ads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lexis-solutions/apple-app-store-ads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Apple App Store Ads Scraper", "description": "Scrape Apple’s Ad Repository to extract App Store ad creatives, formats, targeting, and impression data by country for competitor research, ad intelligence, and market analysis at scale with structured JSON output.", "version": "1.0", "x-build-id": "hzGN079Ia6wLX3Aa4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lexis-solutions~apple-app-store-ads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lexis-solutions-apple-app-store-ads-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lexis-solutions~apple-app-store-ads-scraper/runs": { "post": { "operationId": "runs-sync-lexis-solutions-apple-app-store-ads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lexis-solutions~apple-app-store-ads-scraper/run-sync": { "post": { "operationId": "run-sync-lexis-solutions-apple-app-store-ads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "countryOrRegion" ], "properties": { "countryOrRegion": { "title": "Country or region", "type": "array", "description": "Country or region codes to fetch ads for.", "items": { "type": "string", "enum": [ "AT", "BE", "BG", "HR", "CY", "CZ", "DK", "EE", "FI", "FR", "DE", "GR", "HU", "IE", "IT", "LV", "LU", "NL", "PL", "PT", "RO", "SK", "SI", "ES", "SE" ], "enumTitles": [ "Austria", "Belgium", "Bulgaria", "Croatia", "Cyprus", "Czech Republic", "Denmark", "Estonia", "Finland", "France", "Germany", "Greece", "Hungary", "Ireland", "Italy", "Latvia", "Luxembourg", "Netherlands", "Poland", "Portugal", "Romania", "Slovakia", "Slovenia", "Spain", "Sweden" ] } }, "datePreset": { "title": "Date preset", "enum": [ "LAST_90_DAYS", "LAST_180_DAYS", "LAST_YEAR" ], "type": "string", "description": "Restrict results to ads with activity within this time range.", "default": "LAST_90_DAYS" }, "type": { "title": "Search type", "enum": [ "APP", "DEVELOPER" ], "type": "string", "description": "Whether \"id\" refers to an app or a developer. Required if \"id\" is set." }, "id": { "title": "App or developer ID", "type": "string", "description": "App ID or developer ID to filter ads by. Requires \"type\" to also be set." }, "maxItems": { "title": "Max items", "minimum": 1, "type": "integer", "description": "The maximum number of ads to fetch.", "default": 5 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Your proxy configuration from Apify.", "default": { "useApifyProxy": 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 } } } } } } } } } } ```