# App Developer Lead Scraper | $4/1K | Email & Site (`apivault_labs/app-developer-leads`) Actor Find app-developer leads at scale from the App Store & Google Play. Pick a category or keyword and a store, and get every app's company name, website, contact email, rating, category and store link. Built for B2B outreach to app publishers. No login or API key. Bulk, parallel. $0.004 per lead. - **URL**: https://apify.com/apivault\_labs/app-developer-leads.md - **Developed by:** [Apivault Labs](https://apify.com/apivault_labs) (community) - **Categories:** Lead generation, Business, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 1,000 leads 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 ## App Developer Lead Scraper — 6 app stores **Find the companies behind apps — with their website, email and phone — so you can reach out to them.** Covers Google Play, the Apple App Store, the Chrome Web Store, Firefox Add-ons, the Microsoft Store and the VS Code Marketplace. No login, no API key, no coding. **$0.004 per lead ($4 / 1,000).** ### Not just another email scraper Most "app email scrapers" do one store and dump a list of addresses. This one is a full prospecting pipeline across **six** stores, with lead scoring and CRM-ready exports built in. | | Typical email scraper | **App Developer Lead Scraper** | |---|:---:|:---:| | Stores covered | Google Play only | **Google Play + App Store + Chrome + Firefox + Microsoft Store + VS Code** | | Company + website | sometimes | ✅ every lead | | Email | raw list | ✅ + `bestEmail`, corporate vs free, **named vs role**, MX-verified | | Phone | ❌ | ✅ where published | | Lead score / priority | ❌ | ✅ `leadScore` 0–100 + hot/warm/cool/cold, sorted hottest-first | | App activity signal | ❌ | ✅ active / aging / abandoned (skip dead apps) | | Dedupe by company | ❌ | ✅ one row per company, apps grouped, across stores | | Quality filters | ❌ | ✅ installs, rating, dev size, has-email, no-website | | Tech stack + socials | ❌ | ✅ Premium (Shopify, Stripe, LinkedIn, X, …) | | Ready outreach line | ❌ | ✅ `outreachIcebreaker` | | CRM export | CSV dump | ✅ flat CSV + **Contacts** dataset view | If you sell to app makers — SDKs, dev tools, design/marketing agencies, monetization, QA, localization — this finds and qualifies them in one run. ### How to use it (3 steps) 1. **Pick a store** — Google Play, App Store, Chrome Web Store, Firefox Add-ons, Microsoft Store, VS Code Marketplace, both mobile stores, or all of them. *(Google Play and Firefox publish the most emails directly.)* 2. **Type what apps you want** — words like `meditation`, `crm`, `invoicing`. Add as many as you like. 3. **Choose how many** apps per word, then click **Start**. That's it. You get a clean list: company, website, email, phone, rating, installs and more — ready to download as Excel, CSV or JSON. #### Example ```json { "store": "all", "keywords": ["meditation", "habit tracker"], "maxAppsPerQuery": 50 } ```` Everything else is optional — the defaults work out of the box. ### What you get for each company Company name, website, email(s), phone, app rating, install count, category, ads / in-app-purchase signals, last-updated date, a LinkedIn search link, and the store page link. If a company makes several apps, they're grouped into one row. ### Lead qualifiers & enrichment On top of the core contact fields, the Actor can add: - **`leadScore` (0–100) + `leadTier`** (hot/warm/cool/cold) + reasons — results are sorted hottest-first so sales can work the best prospects first. - **`emailType`** (corporate vs free) and **`emailValid`** (MX-verified domain). - **`emailRole`** (personal named mailbox vs generic role like `info@`) and **`bestEmail`** — the single best contact to import into a CRM. - **`activityStatus`** (active / aging / abandoned) + `monthsSinceUpdate` — how actively the app is maintained. Active developers reply more; filter with `onlyActiveApps`. - **`outreachIcebreaker`** (optional) — a ready, personalized opening line for cold email/DM, built from the app name, installs and rating. - **`companySize`** (indie / small / mid / large / enterprise) from installs. - **`installs` / `installsInt`** — Google Play install count. - **`phone`** — developer phone from the Google Play contact block. - **`containsAds` / `hasInAppPurchases`** — monetization signals. - **`developerAppCount`** — how many apps the studio has published. - **`techStack`** — tech / marketing tools on the developer's site. - **`socials`** (premium) — LinkedIn/Twitter/Facebook/Instagram/etc. - **`linkedinSearchUrl`** — one-click LinkedIn company lookup. #### Filters (only pay for leads that match) `minInstalls`, `minRating`, `minDeveloperApps`, `companySize`, `requireEmail`, `onlyWithoutWebsite`. Skipped leads are never charged. #### More reach `countries` (multi-country discovery) and `includeSimilarApps` pull more unique companies from a single keyword. `dedupeAcrossRuns` remembers what you already got so daily runs never repeat a company. ### Plans | | Basic — **$4 / 1,000** | Premium — **$8 / 1,000** | |---|---|---| | Company, website, email, phone | ✅ | ✅ | | Installs, rating, category | ✅ | ✅ | | Ads / in-app-purchase signals | ✅ | ✅ | | Website **tech stack** (Shopify, Next.js, Stripe…) | — | ✅ | | **Social profiles** (LinkedIn, Twitter/X, Facebook, Instagram, YouTube, TikTok, GitHub) | — | ✅ | | **Extra emails** scraped from the website | — | ✅ | | **Developer app count** (studio size) | — | ✅ | | LinkedIn company link | ✅ | ✅ | Set `"tier": "premium"` to turn it on. Premium auto-enables all enrichment, so you don't need to toggle the advanced options yourself. ### Inputs | Field | Description | |---|---| | `store` | `googleplay`, `appstore`, `chrome`, `firefox`, `msstore`, `vscode`, `both` (mobile), or `all` (every store) | | `keywords` | Words describing the apps you want | | `maxAppsPerQuery` | How many apps per word (start at 50, up to 1000) | | `discoverBy` | `keyword` (default) or `category` | | `keywords` | Search terms (keyword mode) | | `categories` | Category names (category mode): games, finance, productivity, business, health-fitness, social-networking, … | | `country` | Two-letter store code (`us`, `gb`, `de`, …) | | `maxAppsPerQuery` | Target apps to collect per keyword/category (1–1000). For keywords, the Actor expands the term and multiplexes across store countries to get well past the store's ~30/query search cap (one keyword can yield ~900 apps). | | `requireEmail` | Skip apps with no discoverable email (not charged) | | `onlyWithoutWebsite` | Keep only app makers **without a website** — ideal if you sell web design and want prospects who still need a site | | `outputFields` | `all`, `contacts` (email/phone/socials), `email` only, or `phone` only | | `flatOutput` | Flatten nested data into simple columns for clean CSV/Excel | | `dedupeByCompany` | One row per company, no duplicate rows (default on) | | `dedupeByCompany` | Merge all apps from one developer into a single lead with an `apps[]` array (cleaner for CRM). Default on. | | `addLinkedin` | Add a `linkedinSearchUrl` (company search by domain) | | `developerAppCount` | Count the developer's other apps (studio-size signal) | | `detectTech` | Visit the developer's site and detect its tech / marketing stack | | `appStoreFindEmail` | Auto-find a contact email for **App Store** apps from their website (default on). Apple doesn't publish emails directly. | | `includeWebsiteEmails` | Also scrape the developer's site for emails (slower, more coverage) | | `maxConcurrency` | Parallel requests | ### Lead qualifiers & enrichment On top of the core contact fields, the Actor can add: - **`installs` / `installsInt`** — Google Play install count (lead size). - **`phone`** — developer phone from the Google Play contact block. - **`containsAds` / `hasInAppPurchases`** — monetization signals. - **`developerAppCount`** — how many apps the studio has published. - **`techStack`** — tech / marketing tools on the developer's site (e.g. Shopify, Next.js, React, HubSpot, Stripe, Segment, GA, FB Pixel). - **`linkedinSearchUrl`** — one-click LinkedIn company lookup. - **One lead per company** (default) — apps from the same developer are merged into one record with `apps[]`, `appCount`, `stores[]`, `totalInstalls`. ### Output (one row per app/developer) ```json { "store": "googleplay", "appId": "com.getsomeheadspace.android", "appName": "Headspace: Sleep & Meditate", "company": "Headspace for Meditation, Mindfulness", "website": "https://headspace.com", "websiteDomain": "headspace.com", "email": "help@headspace.com", "emails": ["help@headspace.com"], "phone": "+1 415-237-1054", "installs": "50,000,000+", "installsInt": 50000000, "rating": 4.3, "ratingCount": 310245, "category": "Health & Fitness", "containsAds": false, "hasInAppPurchases": true, "lastUpdated": "Jun 2, 2026", "storeUrl": "https://play.google.com/store/apps/details?id=com.getsomeheadspace.android" } ``` **Fields per lead:** - **Contact** — company, website, websiteDomain, email, emails\[], phone - **Scale / qualifiers** — installs (Google Play), rating, ratingCount, containsAds, hasInAppPurchases, price/isFree - **Listing** — category, lastUpdated, storeUrl, developer page - App Store adds: contentRating, minOsVersion, languages, releaseDate > Install counts and developer phone are available on Google Play. For the App > Store, the Actor automatically visits each app's website to find a contact > email (`appStoreFindEmail`, on by default). Some large brands hide email > behind contact forms, so App Store email coverage is lower than Google Play. ### Where the data comes from - **Google Play** publishes a developer **contact email** on every listing — the strongest source for emails, plus install counts and phone. - **Firefox Add-ons** publish the developer **homepage and support email** directly in the listing — excellent email coverage, no website visit needed. - **Chrome Web Store** shows a developer **contact email** (and often a website) on each extension's page. - **VS Code Marketplace** exposes the publisher **name, verified website domain and a GitHub link**; email is found from the publisher's website. Great for reaching developer-tool companies. - **Apple App Store** and **Microsoft Store** expose the developer **company name and website** but not an email, so the Actor visits the developer's website to find one automatically (`appStoreFindEmail`, on by default). Some large brands hide email behind contact forms, so coverage there is lower. ### Use cases - **B2B outreach to app & extension publishers** — SDK, API, analytics, monetization, push/notification, A/B-testing and crash-reporting vendors selling to mobile and browser-extension developers. - **Agency prospecting** — ASO, user-acquisition, mobile design, QA/testing and localization agencies building a pipeline of app-maker clients. - **Developer-tool go-to-market** — reach Chrome/Firefox extension publishers and VS Code Marketplace authors (a clean ICP of software companies). - **Market mapping** — list every company in a category or keyword across all six stores, with installs, ratings and tech stack. - **Partnership & competitive research** — find who builds what, and how to contact them. ### FAQ **How is this different from a Google Play email scraper?** It covers six stores (Google Play, Apple App Store, Chrome Web Store, Firefox Add-ons, Microsoft Store, VS Code Marketplace), not one — and it scores and de-duplicates leads, finds the best contact email, flags abandoned apps, and exports CRM-ready rows, instead of dumping a raw address list. **Can I get Chrome extension or VS Code developer contacts?** Yes. Set `store` to `chrome`, `firefox`, `vscode`, or `all`. Extension and dev-tool publishers are a high-value B2B audience that single-store scrapers miss. **Do I get emails for App Store / Microsoft Store apps?** Apple and Microsoft don't publish a developer email, only the website. The Actor visits that website to find a contact email automatically (`appStoreFindEmail`). **Can I import the results straight into a CRM?** Yes — use the **Contacts** dataset view or `flatOutput` for a clean CSV ready for HubSpot, Pipedrive, Salesforce, Lemlist, Instantly, etc. **Is there an API / Python SDK?** Yes — see the [Python SDK on GitHub](https://github.com/apivault-labs/app-developer-leads-python). ### Notes - You are charged per lead returned; skipped/failed apps are not billed. - Public data only. Use lawfully and in line with each store's terms, anti-spam laws (CAN-SPAM, GDPR, CASL) and the recipient's preferences. # Actor input Schema ## `store` (type: `string`): Where to look for apps. Google Play and Firefox give the most emails directly; App Store, Microsoft Store, Chrome and VS Code emails are found from the developer's website. ## `keywords` (type: `array`): Type words that describe the apps, like "meditation", "crm", or "invoicing". Add as many as you want — one per line. ## `maxAppsPerQuery` (type: `integer`): How many apps to collect for each word above. Start small (50) to try it out, raise it later for bigger lists (up to 10000). ## `tier` (type: `string`): Basic = company, website, email, phone, installs, rating. Premium = everything in Basic PLUS website tech stack, social media links (LinkedIn/Twitter/Facebook/Instagram/etc.), extra emails scraped from the website, developer app count, and a LinkedIn company link. ## `discoverBy` (type: `string`): Keep "By keywords" unless you want the top-ranked apps in a whole category instead. ## `categories` (type: `array`): Only used if Search method = "By category". Examples: games, finance, productivity, business, health-fitness, all. ## `country` (type: `string`): Two-letter country code for the store (us, gb, de, …). ## `countries` (type: `array`): Optional. Search across several store countries at once for more unique apps. Leave empty to use the single Country above. ## `minInstalls` (type: `integer`): Keep only apps with at least this many installs. 0 = no limit. E.g. 100000 to focus on serious developers. ## `minRating` (type: `integer`): Keep only apps rated at least this (0–5). 0 = no limit. ## `minDeveloperApps` (type: `integer`): Keep only developers who publish at least this many apps (bigger studios). 0 = no limit. ## `companySize` (type: `string`): Filter by developer size (based on install volume). ## `verifyEmail` (type: `boolean`): Check that the email's domain can receive mail (DNS MX lookup — no email is sent). Adds an emailValid flag. ## `includeSimilarApps` (type: `boolean`): For each Google Play app, also pull its 'similar apps' to find more leads from one keyword. Slower, more results. ## `dedupeAcrossRuns` (type: `boolean`): Remember companies already delivered in previous runs (in this Actor's storage) and skip them next time. Great for daily prospecting. ## `requireEmail` (type: `boolean`): Skip apps where no email was found (you are not charged for skipped apps). ## `appStoreFindEmail` (type: `boolean`): Apple doesn't publish developer emails, only the company website. Turn this on to automatically visit each App Store app's website and pull a contact email. Recommended when scraping the App Store. (Google Play already gives emails directly.) ## `onlyWithoutWebsite` (type: `boolean`): Keep only app makers that have no website (great if you sell web design / development and want prospects who still need a site). ## `onlyActiveApps` (type: `boolean`): Skip apps that look abandoned (not updated in ~18+ months). Active developers have a live budget and reply more — better leads. Skipped apps are not charged. ## `outputFields` (type: `string`): Choose how much detail to return per lead. ## `flatOutput` (type: `boolean`): Flatten nested data (apps, socials, lists) into simple columns. Turn on for clean CSV/Excel exports; leave off for full nested JSON. ## `dedupeByCompany` (type: `boolean`): If a company makes several apps, show it once with all its apps grouped together — no duplicate rows. Turn off to get one row per app. ## `addLinkedin` (type: `boolean`): Adds a ready link to look the company up on LinkedIn. ## `addIcebreaker` (type: `boolean`): Generates a personalized first line for cold email/DM per lead (mentions their app, installs or rating). Saves writing an opener for every prospect. No AI key needed. ## `includeWebsiteEmails` (type: `boolean`): Visits each company's website to find extra emails. Finds more contacts but is slower. ## `detectTech` (type: `boolean`): Checks the company website for tools it uses (Shopify, WordPress, Stripe, etc.). Slower. ## `developerAppCount` (type: `boolean`): Shows the company's total number of apps (a sign of how big they are). Slower. ## `maxConcurrency` (type: `integer`): Higher is faster but hits the stores harder. 8 is a good balance; raise toward 15 for big runs. ## `runBudgetSecs` (type: `integer`): Safety limit for the whole run. When reached, the Actor stops collecting more leads and returns what it has — so a huge search can never run up a big compute bill. Default 600 (10 min). Set 0 to disable. ## Actor input object example ```json { "store": "googleplay", "keywords": [ "meditation", "habit tracker" ], "maxAppsPerQuery": 50, "tier": "basic", "discoverBy": "keyword", "categories": [ "productivity" ], "country": "us", "minInstalls": 0, "minRating": 0, "minDeveloperApps": 0, "companySize": "any", "verifyEmail": false, "includeSimilarApps": false, "dedupeAcrossRuns": false, "requireEmail": false, "appStoreFindEmail": true, "onlyWithoutWebsite": false, "onlyActiveApps": false, "outputFields": "all", "flatOutput": false, "dedupeByCompany": true, "addLinkedin": true, "addIcebreaker": false, "includeWebsiteEmails": false, "detectTech": false, "developerAppCount": false, "maxConcurrency": 8, "runBudgetSecs": 600 } ``` # 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": [ "meditation", "habit tracker" ], "categories": [ "productivity" ] }; // Run the Actor and wait for it to finish const run = await client.actor("apivault_labs/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": [ "meditation", "habit tracker", ], "categories": ["productivity"], } # Run the Actor and wait for it to finish run = client.actor("apivault_labs/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": [ "meditation", "habit tracker" ], "categories": [ "productivity" ] }' | apify call apivault_labs/app-developer-leads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=apivault_labs/app-developer-leads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "App Developer Lead Scraper | $4/1K | Email & Site", "description": "Find app-developer leads at scale from the App Store & Google Play. Pick a category or keyword and a store, and get every app's company name, website, contact email, rating, category and store link. Built for B2B outreach to app publishers. No login or API key. Bulk, parallel. $0.004 per lead.", "version": "1.16", "x-build-id": "e1ZdncKeLxI7dbEO3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/apivault_labs~app-developer-leads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-apivault_labs-app-developer-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/apivault_labs~app-developer-leads/runs": { "post": { "operationId": "runs-sync-apivault_labs-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/apivault_labs~app-developer-leads/run-sync": { "post": { "operationId": "run-sync-apivault_labs-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", "required": [ "store" ], "properties": { "store": { "title": "1. Which store?", "enum": [ "googleplay", "appstore", "chrome", "firefox", "msstore", "vscode", "both", "all" ], "type": "string", "description": "Where to look for apps. Google Play and Firefox give the most emails directly; App Store, Microsoft Store, Chrome and VS Code emails are found from the developer's website.", "default": "googleplay" }, "keywords": { "title": "2. What apps are you looking for?", "type": "array", "description": "Type words that describe the apps, like \"meditation\", \"crm\", or \"invoicing\". Add as many as you want — one per line.", "items": { "type": "string" } }, "maxAppsPerQuery": { "title": "3. How many apps per word?", "minimum": 1, "maximum": 10000, "type": "integer", "description": "How many apps to collect for each word above. Start small (50) to try it out, raise it later for bigger lists (up to 10000).", "default": 50 }, "tier": { "title": "4. Plan", "enum": [ "basic", "premium" ], "type": "string", "description": "Basic = company, website, email, phone, installs, rating. Premium = everything in Basic PLUS website tech stack, social media links (LinkedIn/Twitter/Facebook/Instagram/etc.), extra emails scraped from the website, developer app count, and a LinkedIn company link.", "default": "basic" }, "discoverBy": { "title": "Search method", "enum": [ "keyword", "category" ], "type": "string", "description": "Keep \"By keywords\" unless you want the top-ranked apps in a whole category instead.", "default": "keyword" }, "categories": { "title": "Categories", "type": "array", "description": "Only used if Search method = \"By category\". Examples: games, finance, productivity, business, health-fitness, all.", "items": { "type": "string" } }, "country": { "title": "Country", "type": "string", "description": "Two-letter country code for the store (us, gb, de, …).", "default": "us" }, "countries": { "title": "Countries (multi)", "type": "array", "description": "Optional. Search across several store countries at once for more unique apps. Leave empty to use the single Country above.", "items": { "type": "string" } }, "minInstalls": { "title": "Minimum installs (Google Play)", "minimum": 0, "type": "integer", "description": "Keep only apps with at least this many installs. 0 = no limit. E.g. 100000 to focus on serious developers.", "default": 0 }, "minRating": { "title": "Minimum rating", "minimum": 0, "maximum": 5, "type": "integer", "description": "Keep only apps rated at least this (0–5). 0 = no limit.", "default": 0 }, "minDeveloperApps": { "title": "Minimum apps by developer", "minimum": 0, "type": "integer", "description": "Keep only developers who publish at least this many apps (bigger studios). 0 = no limit.", "default": 0 }, "companySize": { "title": "Company size", "enum": [ "any", "indie", "large" ], "type": "string", "description": "Filter by developer size (based on install volume).", "default": "any" }, "verifyEmail": { "title": "Verify email domain (MX check)", "type": "boolean", "description": "Check that the email's domain can receive mail (DNS MX lookup — no email is sent). Adds an emailValid flag.", "default": false }, "includeSimilarApps": { "title": "Also scrape 'similar apps'", "type": "boolean", "description": "For each Google Play app, also pull its 'similar apps' to find more leads from one keyword. Slower, more results.", "default": false }, "dedupeAcrossRuns": { "title": "Don't repeat leads from past runs", "type": "boolean", "description": "Remember companies already delivered in previous runs (in this Actor's storage) and skip them next time. Great for daily prospecting.", "default": false }, "requireEmail": { "title": "Only keep apps that have an email", "type": "boolean", "description": "Skip apps where no email was found (you are not charged for skipped apps).", "default": false }, "appStoreFindEmail": { "title": "Find emails for App Store apps (from their website)", "type": "boolean", "description": "Apple doesn't publish developer emails, only the company website. Turn this on to automatically visit each App Store app's website and pull a contact email. Recommended when scraping the App Store. (Google Play already gives emails directly.)", "default": true }, "onlyWithoutWebsite": { "title": "Only apps WITHOUT a website", "type": "boolean", "description": "Keep only app makers that have no website (great if you sell web design / development and want prospects who still need a site).", "default": false }, "onlyActiveApps": { "title": "Only actively-maintained apps", "type": "boolean", "description": "Skip apps that look abandoned (not updated in ~18+ months). Active developers have a live budget and reply more — better leads. Skipped apps are not charged.", "default": false }, "outputFields": { "title": "What to output", "enum": [ "all", "contacts", "email", "phone" ], "type": "string", "description": "Choose how much detail to return per lead.", "default": "all" }, "flatOutput": { "title": "Flat rows (best for CSV / Excel)", "type": "boolean", "description": "Flatten nested data (apps, socials, lists) into simple columns. Turn on for clean CSV/Excel exports; leave off for full nested JSON.", "default": false }, "dedupeByCompany": { "title": "One row per company (remove duplicates)", "type": "boolean", "description": "If a company makes several apps, show it once with all its apps grouped together — no duplicate rows. Turn off to get one row per app.", "default": true }, "addLinkedin": { "title": "Add a LinkedIn search link", "type": "boolean", "description": "Adds a ready link to look the company up on LinkedIn.", "default": true }, "addIcebreaker": { "title": "Add a ready outreach opening line", "type": "boolean", "description": "Generates a personalized first line for cold email/DM per lead (mentions their app, installs or rating). Saves writing an opener for every prospect. No AI key needed.", "default": false }, "includeWebsiteEmails": { "title": "Look for more emails on the company website", "type": "boolean", "description": "Visits each company's website to find extra emails. Finds more contacts but is slower.", "default": false }, "detectTech": { "title": "Detect what the website is built with", "type": "boolean", "description": "Checks the company website for tools it uses (Shopify, WordPress, Stripe, etc.). Slower.", "default": false }, "developerAppCount": { "title": "Count how many apps the company has", "type": "boolean", "description": "Shows the company's total number of apps (a sign of how big they are). Slower.", "default": false }, "maxConcurrency": { "title": "Speed (parallel requests)", "minimum": 1, "maximum": 15, "type": "integer", "description": "Higher is faster but hits the stores harder. 8 is a good balance; raise toward 15 for big runs.", "default": 8 }, "runBudgetSecs": { "title": "Max run time (seconds)", "minimum": 0, "maximum": 3600, "type": "integer", "description": "Safety limit for the whole run. When reached, the Actor stops collecting more leads and returns what it has — so a huge search can never run up a big compute bill. Default 600 (10 min). Set 0 to disable.", "default": 600 } } }, "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 } } } } } } } } } } ```