iOS App Store Scraper — Publishers, Ratings & Developer Emails

Search Apple iOS App Store apps by keyword, extract ratings, review velocity & version history, and crawl each publisher's website (/, /privacy, /contact) for direct emails.

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Why Use ios-app-store-publishers-developer-leads?

Most basic scrapers only return raw, unverified strings from a single page, forcing you to manually clean data, look up company domains, check DNS records, and hunt for decision-maker emails across multiple tools.

iOS App Store Scraper — Publishers, Ratings & Developer Emails is a multi-stage B2B intelligence pipeline that automates the entire research and enrichment workflow in a single run:

1. Primary Signal & Entity Extraction: Pulls structured records with high precision and zero headless-browser bloat (~2–4 seconds per batch on minimal 256 MB RAM).
2. Domain Purity & Mockup Filtering: Automatically strips UI placeholder/demo emails (john@doe.com, you@company.com, example.com) and ranks personal decision-maker emails above generic role inboxes (info@, support@, privacy@).
3. Multi-Page Deep Enrichment: Crawls target domains and legal/contact subpages (/, /contact, /about, /impressum, /privacy) in parallel.
4. Live DNS (MX / SPF / DMARC) Verification: Verifies that target domains have active mail servers and classifies their email gateway (Google Workspace, Microsoft 365, Proofpoint, Mimecast).
5. Automation & AI Agent Ready: Works out of the box with n8n, Make.com, Clay, Zapier, Instantly.ai, Smartlead, and as an MCP Server tool inside Claude Desktop, Cursor, and OpenCode.

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Extracted Data Fields

Field	Description
appName, bundleId, trackId	Official Apple App Store title, bundle identifier, and track ID.
publisherName & publisherWebsite	Legal developer/company name and linked sellerUrl.
discoveredPublisherEmails	Direct developer/support emails extracted by crawling the publisher's homepage, /privacy, and /contact.
averageRating, ratingCount, priceUsd	Star rating, total user review count, pricing, and latest release timestamps.

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Step-by-Step Tutorials: How to Use This Actor

Method 1: Run in Apify Console (No Code Required)

1. Click Try for free or open the Input tab in Apify Console.
2. Enter your target parameters (or leave the pre-filled defaults to run an instant test).
3. Click Start at the bottom.
4. Once the status shows Succeeded (typically 2–5 seconds), open the Output or Storage tab to view your results as a clean table, or download them as CSV, Excel (.xlsx), or JSON.

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Method 2: Call via REST API (cURL)

Run the Actor synchronously and receive the enriched JSON dataset rows directly in a single HTTP call:

curl -X POST "https://api.apify.com/v2/acts/fetchie~ios-app-store-publishers-developer-leads/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "searchTerm": "invoice",
  "country": "us",
  "enrichDeveloperWebsite": true,
  "maxApps": 15
}'

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Method 3: Use in Python (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
  "searchTerm": "invoice",
  "country": "us",
  "enrichDeveloperWebsite": true,
  "maxApps": 15
}

run = client.actor("fetchie/ios-app-store-publishers-developer-leads").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

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Method 4: Use in Node.js / TypeScript (apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('fetchie/ios-app-store-publishers-developer-leads').call({
  "searchTerm": "invoice",
  "country": "us",
  "enrichDeveloperWebsite": true,
  "maxApps": 15
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

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Method 5: Connect to n8n, Make.com, Clay, or Claude MCP

• In Clay: Add an HTTP API or Apify enrichment column pointing to fetchie/ios-app-store-publishers-developer-leads and pass your prospect column into the JSON input body.
• In n8n / Make.com: Use the official Apify — Run an Actor node, select fetchie/ios-app-store-publishers-developer-leads, and map the output dataset items directly to HubSpot, Salesforce, Pipedrive, Instantly.ai, Smartlead, or Google Sheets.
• In Claude Desktop / Cursor (via Apify MCP): Add https://mcp.apify.com to your MCP configuration and ask your AI agent to run fetchie/ios-app-store-publishers-developer-leads on your target list.

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Input Example

{
  "searchTerm": "invoice",
  "country": "us",
  "enrichDeveloperWebsite": true,
  "maxApps": 15
}

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Output Example

{
  "trackId": 694831622,
  "appName": "Invoice Maker ▸ Invoice Simple",
  "bundleId": "com.logicalengine.qsei",
  "publisherName": "Zenvoice Inc.",
  "publisherWebsite": "https://www.invoicesimple.com",
  "discoveredPublisherEmails": [
    "support@invoicesimple.com"
  ],
  "averageRating": 4.87,
  "ratingCount": 122827,
  "currentVersion": "6.17.1"
}

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Frequently Asked Questions (FAQ)

How is pricing calculated?

This Actor uses Pay-Per-Event (PAY_PER_EVENT) pricing. You only pay a tiny per-result fee for records actually delivered to your dataset, with no monthly subscription lock-in.

Are placeholder or fake emails filtered out?

Yes. Our domain-purity engine automatically removes placeholder addresses (john@doe.com, you@company.com, example.com), image/asset filenames, and third-party tracker strings, and sorts personal decision-maker emails first.

Can I schedule this Actor to run daily or weekly?

Yes. In Apify Console, click Actions → Schedule Actor to run automated daily or weekly monitoring and send new leads directly to a webhook, Slack channel, or CRM.

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Keywords: iOS App Store scraper, mobile app developer leads, App Store publisher emails, ASO competitive intelligence API