# App Store Developer Email Finder & Leads Scraper (`wishful_knowledge/app-store-developer-leads-scraper`) Actor Find iOS app developer leads and extract developer websites, public business emails, app traction, social links, and outreach scores. - **URL**: https://apify.com/wishful\_knowledge/app-store-developer-leads-scraper.md - **Developed by:** [sanfeng zhang](https://apify.com/wishful_knowledge) (community) - **Categories:** Lead generation, Business, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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 ## App Store Developer Email Finder & Leads Scraper Find iOS app developer leads from App Store keywords, then enrich developer websites with public business emails, social links, tech signals, and outreach scores. This Actor is useful for B2B teams selling to mobile app companies: analytics tools, localization services, review intelligence, ASO, monetization, payments, SDKs, and agency services. ### Fast start Start with a small App Store keyword search: ```json { "searchTerms": ["notion", "shopify"], "country": "us", "maxAppsPerTerm": 3, "maxDeveloperSites": 5, "enrichDeveloperWebsites": true, "includePersonalEmails": false, "requireBusinessEmail": false, "minLeadScore": 35 } ```` ### Example output Each saved row connects App Store traction to developer contact signals: ```json { "appName": "Example App", "developerName": "Example Developer", "appStoreUrl": "https://apps.apple.com/app/example/id123", "developerWebsite": "https://example.com", "emails": ["support@example.com"], "rating": 4.7, "reviewCount": 1200, "leadScore": 64, "suggestedAngles": ["ASO audit", "Review intelligence outreach"] } ``` ### What it extracts - App name, developer name, App Store URL, genres, rating, review count, version, and price - Developer website from the public iTunes Search API - Public business emails from the developer website - Public social profiles - Website tech signals such as analytics, HubSpot, Intercom, WordPress, and Shopify - Lead score and outreach angles ### Why this niche App developers are clear B2B buyers: they buy analytics, attribution, localization, user support, growth, monetization, QA, and review tools. This Actor turns App Store searches into structured prospect lists without requiring App Store login or social accounts. ### Pricing Suggested launch pricing: USD 0.01 per saved app developer lead. ### Local run ```powershell node .\src\main.js --input .\sample-input.json ``` ### Keywords App Store developer email finder, App Store leads, iOS developer leads, mobile app company leads, app developer scraper, app developer leads scraper, app prospecting, app store data, mobile SaaS lead generation, app marketing leads, ASO prospecting, mobile analytics leads. # Actor input Schema ## `searchTerms` (type: `array`): Keywords to search in the iOS App Store. ## `country` (type: `string`): Two-letter App Store country code. ## `maxAppsPerTerm` (type: `integer`): Maximum apps returned per search term. ## `maxDeveloperSites` (type: `integer`): Maximum unique app developer leads to analyze. ## `enrichDeveloperWebsites` (type: `boolean`): Fetch public developer websites to find business emails, socials, and tech signals. ## `includePersonalEmails` (type: `boolean`): When disabled, keeps only generic business role emails. ## `requireBusinessEmail` (type: `boolean`): When enabled, only apps with public business emails from developer websites are saved. ## `minLeadScore` (type: `integer`): Only records with this score or higher are saved. ## `requestDelayMs` (type: `integer`): Delay between enrichment requests. ## `timeoutSecs` (type: `integer`): Timeout for each HTTP request. ## `userAgent` (type: `string`): HTTP User-Agent header. ## Actor input object example ```json { "searchTerms": [ "notion", "shopify", "invoice" ], "country": "us", "maxAppsPerTerm": 10, "maxDeveloperSites": 50, "enrichDeveloperWebsites": true, "includePersonalEmails": false, "requireBusinessEmail": false, "minLeadScore": 35, "requestDelayMs": 500, "timeoutSecs": 15, "userAgent": "Mozilla/5.0 (compatible; AppStoreDeveloperLeadsScraper/0.1; +https://apify.com/)" } ``` # Actor output Schema ## `leads` (type: `string`): App developer leads that passed score and optional email filters. ## `runSummary` (type: `string`): Counts, filtering decisions, and run settings. # 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 = { "searchTerms": [ "notion", "shopify", "invoice" ] }; // Run the Actor and wait for it to finish const run = await client.actor("wishful_knowledge/app-store-developer-leads-scraper").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 = { "searchTerms": [ "notion", "shopify", "invoice", ] } # Run the Actor and wait for it to finish run = client.actor("wishful_knowledge/app-store-developer-leads-scraper").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 '{ "searchTerms": [ "notion", "shopify", "invoice" ] }' | apify call wishful_knowledge/app-store-developer-leads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=wishful_knowledge/app-store-developer-leads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "App Store Developer Email Finder & Leads Scraper", "description": "Find iOS app developer leads and extract developer websites, public business emails, app traction, social links, and outreach scores.", "version": "0.1", "x-build-id": "im08713NhXoQGJcZU" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/wishful_knowledge~app-store-developer-leads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-wishful_knowledge-app-store-developer-leads-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/wishful_knowledge~app-store-developer-leads-scraper/runs": { "post": { "operationId": "runs-sync-wishful_knowledge-app-store-developer-leads-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/wishful_knowledge~app-store-developer-leads-scraper/run-sync": { "post": { "operationId": "run-sync-wishful_knowledge-app-store-developer-leads-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", "properties": { "searchTerms": { "title": "App search terms", "type": "array", "description": "Keywords to search in the iOS App Store.", "items": { "type": "string" } }, "country": { "title": "Country code", "type": "string", "description": "Two-letter App Store country code.", "default": "us" }, "maxAppsPerTerm": { "title": "Max apps per term", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum apps returned per search term.", "default": 10 }, "maxDeveloperSites": { "title": "Max developer leads", "minimum": 1, "maximum": 250, "type": "integer", "description": "Maximum unique app developer leads to analyze.", "default": 50 }, "enrichDeveloperWebsites": { "title": "Enrich developer websites", "type": "boolean", "description": "Fetch public developer websites to find business emails, socials, and tech signals.", "default": true }, "includePersonalEmails": { "title": "Include individual-looking emails", "type": "boolean", "description": "When disabled, keeps only generic business role emails.", "default": false }, "requireBusinessEmail": { "title": "Require business email for saved leads", "type": "boolean", "description": "When enabled, only apps with public business emails from developer websites are saved.", "default": false }, "minLeadScore": { "title": "Minimum lead score", "minimum": 0, "maximum": 100, "type": "integer", "description": "Only records with this score or higher are saved.", "default": 35 }, "requestDelayMs": { "title": "Request delay", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Delay between enrichment requests.", "default": 500 }, "timeoutSecs": { "title": "Request timeout", "minimum": 5, "maximum": 60, "type": "integer", "description": "Timeout for each HTTP request.", "default": 15 }, "userAgent": { "title": "User agent", "type": "string", "description": "HTTP User-Agent header.", "default": "Mozilla/5.0 (compatible; AppStoreDeveloperLeadsScraper/0.1; +https://apify.com/)" } } }, "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 } } } } } } } } } } ```