# Apple App Store Developer Leads (`scrapemint/apple-app-developer-leads`) Actor Search the iOS App Store by keyword via the keyless iTunes API and turn apps into B2B leads: seller, developer website, scraped contact email, category, rating, review count, and price. One lead per app. No API key. - **URL**: https://apify.com/scrapemint/apple-app-developer-leads.md - **Developed by:** [Ken M](https://apify.com/scrapemint) (community) - **Categories:** Business, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 App Store Developer Leads Turn the iOS App Store into a B2B lead list. Search by keyword and get, for every app, the seller, the **developer website**, a **scraped contact email**, category, rating, review count, and price. One lead per app. iOS app developers are a captive market for app tools, ASO, and mobile marketing. Pair this with a Google Play scraper for full mobile coverage. Keyless, no API key. ### Who buys this - **App-tool and SDK vendors** selling analytics, monetization, or testing to app makers. - **ASO and mobile-marketing agencies** prospecting app owners. - **Ad networks** building publisher pipelines. ### How it works 1. For each keyword it searches the iOS App Store via the keyless iTunes API, returning the seller, website, ratings, category, and price. 2. It fetches each seller website and scrapes a contact email. 3. Each app is scored and tiered, then pushed as one lead. ### Output One row per app: ```json { "name": "Invoice Simple: Invoice Maker", "seller": "Zenvoice Inc.", "website": "https://www.invoicesimple.com", "email": "support@invoicesimple.com", "category": "Business", "ratings": 122545, "rating": 4.8, "price": "Free", "lastUpdated": "2026-06-01T00:00:00Z", "appStoreUrl": "https://apps.apple.com/us/app/...", "tier": "qualified_lead", "leadScore": 90 } ```` ### Tiers and pricing Pay per lead. The first 10 `qualified_lead` per run are free so you can validate output. | Tier | Meaning | Price | | --- | --- | --- | | `listing` | App data, no developer website | $0.01 | | `lead` | A developer website (every app with a seller URL) | $0.02 | | `qualified_lead` | A scraped contact email and ratings at or above the bar | $0.05 | The search is keyless and the website scrape is light, so runs are fast and a single run can return thousands of leads. ### Input | Field | Default | Notes | | --- | --- | --- | | `keywords` | `[]` | App topics, one search each. | | `country` | `US` | Store country. | | `maxLeads` | `200` | Cap total leads per run. | | `maxPerKeyword` | `100` | Apps per keyword (up to 200). | | `minRatings` | `0` | Drop apps below this rating count. | | `qualifiedMinRatings` | `50` | Rating bar for the qualified\_lead tier. | | `includeEmail` | `true` | Scrape seller websites for a contact email. | | `maxEmailLookups` | `80` | Cap how many top leads get the email scrape. | ### Notes - Apple does not publish the developer email directly, so the website is always present and the email is scraped from it (moderate hit rate). Expect more `lead` than `qualified_lead` rows. - Respect the App Store terms and applicable outreach laws when contacting developers. # Actor input Schema ## `keywords` (type: `array`): App topics to search for (e.g. invoice, meditation, crm, budgeting). ## `country` (type: `string`): Two-letter store country code. Default US. ## `maxLeads` (type: `integer`): Cap total leads scored per run. ## `maxPerKeyword` (type: `integer`): Cap apps taken from each keyword (iTunes returns up to 200). ## `minRatings` (type: `integer`): Drop apps with fewer ratings than this. Zero keeps everything. ## `qualifiedMinRatings` (type: `integer`): Ratings at or above this, with a scraped email, tier a lead as qualified\_lead. ## `includeEmail` (type: `boolean`): Fetch each seller website and scrape a contact email. ## `maxEmailLookups` (type: `integer`): Cap how many top leads get the website email scrape. ## `concurrency` (type: `integer`): Website scrapes in parallel. ## Actor input object example ```json { "keywords": [ "invoice", "budgeting", "habit tracker" ], "country": "US", "maxLeads": 200, "maxPerKeyword": 100, "minRatings": 0, "qualifiedMinRatings": 50, "includeEmail": true, "maxEmailLookups": 80, "concurrency": 8 } ``` # 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 = { "keywords": [ "invoice", "budgeting", "habit tracker" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapemint/apple-app-developer-leads").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 = { "keywords": [ "invoice", "budgeting", "habit tracker", ] } # Run the Actor and wait for it to finish run = client.actor("scrapemint/apple-app-developer-leads").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 '{ "keywords": [ "invoice", "budgeting", "habit tracker" ] }' | apify call scrapemint/apple-app-developer-leads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapemint/apple-app-developer-leads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Apple App Store Developer Leads", "description": "Search the iOS App Store by keyword via the keyless iTunes API and turn apps into B2B leads: seller, developer website, scraped contact email, category, rating, review count, and price. One lead per app. No API key.", "version": "0.1", "x-build-id": "enJaDSP70bfVXQ06Z" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapemint~apple-app-developer-leads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapemint-apple-app-developer-leads", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapemint~apple-app-developer-leads/runs": { "post": { "operationId": "runs-sync-scrapemint-apple-app-developer-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapemint~apple-app-developer-leads/run-sync": { "post": { "operationId": "run-sync-scrapemint-apple-app-developer-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keywords": { "title": "Search keywords", "type": "array", "description": "App topics to search for (e.g. invoice, meditation, crm, budgeting).", "default": [], "items": { "type": "string" } }, "country": { "title": "Country", "type": "string", "description": "Two-letter store country code. Default US.", "default": "US" }, "maxLeads": { "title": "Max leads", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Cap total leads scored per run.", "default": 200 }, "maxPerKeyword": { "title": "Max per keyword", "minimum": 1, "maximum": 200, "type": "integer", "description": "Cap apps taken from each keyword (iTunes returns up to 200).", "default": 100 }, "minRatings": { "title": "Minimum ratings", "minimum": 0, "type": "integer", "description": "Drop apps with fewer ratings than this. Zero keeps everything.", "default": 0 }, "qualifiedMinRatings": { "title": "Qualified rating bar", "minimum": 0, "type": "integer", "description": "Ratings at or above this, with a scraped email, tier a lead as qualified_lead.", "default": 50 }, "includeEmail": { "title": "Scrape contact emails", "type": "boolean", "description": "Fetch each seller website and scrape a contact email.", "default": true }, "maxEmailLookups": { "title": "Max email lookups", "minimum": 0, "maximum": 1000, "type": "integer", "description": "Cap how many top leads get the website email scrape.", "default": 80 }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "Website scrapes in parallel.", "default": 8 } } }, "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 } } } } } } } } } } ```