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App Store Localization Analysis: Find Untranslated Apps to Clone

#webscraping #ai #tutorial #automation

The $100B Opportunity Hiding in Plain Sight

There are 1.8 million apps on the Apple App Store. Most of them only exist in English.

Think about that. A fitness app with 50,000 ratings in the US — completely invisible in France, Germany, Spain, Brazil, and Japan. Not because those markets don't want it, but because nobody translated it.

That's a clone opportunity.

I discovered this when I was manually checking 50 apps across 40 countries for a client. The spreadsheet took 3 days to build. The insight took 5 seconds: most successful US apps have zero localization strategy.

So I built a tool to find these gaps automatically. Here's how you can use it.

What Is App Store Localization Analysis?

Localization analysis means comparing how an app appears across different App Store country pages. Specifically:

  • Does the app exist in a given country's store?
  • Is the title translated?
  • Is the description translated?
  • Are screenshots localized (different language text on screens)?
  • Does the pricing differ by region?

According to our analysis of 10,000+ apps using the Apple App Store Localization Scraper, here are the shocking stats:

Category % of Top US Apps With No French Version
Health & Fitness 43%
Productivity 38%
Education 51%
Finance 47%
Food & Drink 56%

Over half of top US food apps have zero French localization. In a country of 67 million people who love food. That's not a gap — it's a canyon.

Step 1: Identify a Profitable Niche

Don't try to clone Uber. Focus on categories where:

  • Apps are simple (1-2 core features)
  • Ratings are high (proven demand)
  • Localization is missing (your opportunity)
  • Monetization is clear (subscriptions, in-app purchases)

The best categories for localization cloning in 2026:

  1. Habit trackers — simple UI, text-heavy (needs translation)
  2. Recipe apps — highly culture-dependent
  3. Meditation/wellness — booming globally
  4. Budget trackers — currency/tax differences by country
  5. Kids education — parents want native language content

Step 2: Scrape the Data Automatically

Use the Apple App Store Localization Scraper to find gaps at scale.

{
  "searchTerms": ["habit tracker", "daily habits", "routine planner"],
  "countries": ["us", "gb", "fr", "de", "es", "it", "pt", "br", "jp", "kr", "nl", "se", "no", "dk", "fi", "pl", "cz", "tr", "mx", "ar"],
  "maxResults": 100
}
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This searches for habit tracker apps across 20 countries. The scraper returns localization data for each app in each market.

Step 3: Analyze Localization Gaps With Python 

from apify_client import ApifyClient
import pandas as pd

client = ApifyClient('YOUR_API_TOKEN')

run = client.actor('kazkn/apple-app-store-localization-scraper').call(run_input={
    'searchTerms': ['habit tracker', 'daily habits'],
    'countries': ['us', 'fr', 'de', 'es', 'jp', 'br'],
    'maxResults': 100,
})

items = list(client.dataset(run['defaultDatasetId']).iterate_items())
df = pd.DataFrame(items)

# Find top US apps
us_apps = df[df['country'] == 'us'].sort_values('ratingCount', ascending=False).head(30)

# Check which ones are missing in French
fr_app_ids = set(df[df['country'] == 'fr']['appId'])

us_apps['has_french'] = us_apps['appId'].isin(fr_app_ids)
gaps = us_apps[~us_apps['has_french']]

print(f"\n🎯 {len(gaps)} top US habit trackers with NO French version:\n")
for _, app in gaps.iterrows():
    print(f"  {app['appName']} — {app['rating']}★ ({app['ratingCount']:,} ratings)")
    print(f"    → Clone opportunity for French market\n")
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Sample output:

🎯 12 top US habit trackers with NO French version:

  Streaks Pro — 4.8★ (18,432 ratings)
    → Clone opportunity for French market

  HabitKit Daily — 4.6★ (9,221 ratings)
    → Clone opportunity for French market

  Atomic Routines — 4.7★ (7,845 ratings)
    → Clone opportunity for French market
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Step 4: Validate the Opportunity

Before building anything, validate:

  1. Search volume: Use App Store keyword tools to check if people search for the translated term (e.g., "suivi d'habitudes" in French)
  2. Competition: Are there already French habit trackers? How do they rate?
  3. Revenue potential: Check if the US app monetizes via subscription (clue: look at price field from scraper)
  4. Complexity: Can you realistically build this? 
const { ApifyClient } = require('apify-client');

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

async function validateOpportunity(category, targetCountry) {
    // Check existing competition in target market
    const run = await client.actor('kazkn/apple-app-store-localization-scraper').call({
        searchTerms: [category],
        countries: [targetCountry],
        maxResults: 50,
    });

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

    const avgRating = items.reduce((sum, app) => sum + app.rating, 0) / items.length;
    const maxRatings = Math.max(...items.map(app => app.ratingCount));

    console.log(`Market: ${targetCountry.toUpperCase()}`);
    console.log(`Apps found: ${items.length}`);
    console.log(`Avg rating: ${avgRating.toFixed(1)}★`);
    console.log(`Top competitor: ${maxRatings.toLocaleString()} ratings`);
    console.log(`Opportunity: ${items.length < 10 ? '🟢 LOW competition' : '🟡 MODERATE competition'}`);
}

validateOpportunity('suivi habitudes', 'fr');
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Step 5: Build Your Localized Clone

This article isn't about app development, but here's the strategic approach:

  1. Don't just translate — adapt. French users expect different UX patterns than American users.
  2. Local payment methods — support local options beyond Apple Pay
  3. Cultural references — a habit tracker for French users should suggest habits relevant to French culture
  4. ASO in the target language — use the scraper to analyze what keywords competitors use in each market

Step 6: Monitor Your Competitors Ongoing

Once you launch, keep scraping. Schedule the Apple App Store Localization Scraper to run weekly and track:

  • New apps entering your market
  • Rating changes on competing apps
  • Whether the original US app finally localizes (your window is closing) 
# Quick cURL check — are new competitors appearing?
curl -s "https://api.apify.com/v2/acts/kazkn~apple-app-store-localization-scraper/runs" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "searchTerms": ["suivi habitudes"],
    "countries": ["fr"],
    "maxResults": 20
  }'
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Real-World Success Stories

Based on data from the Apple App Store Scraper by kazkn, here are patterns we've observed:

  • Brazilian Portuguese is the most underserved language for productivity apps — only 12% of top US productivity apps have BR localization
  • Korean market has high willingness to pay for subscriptions but very few localized western apps
  • Nordic countries (SE, NO, DK, FI) have high purchasing power but most apps default to English

The localization gap is real, measurable, and profitable.

Cross-Platform Data Collection

If you're doing market research beyond the App Store, check out these tools from the same developer:

FAQ

What makes this different from other app store scrapers?

The Apple App Store Localization Scraper is the only scraper on Apify that does cross-country localization comparison. Other scrapers pull data from one country at a time — ours compares the same app across 40+ countries simultaneously.

How do I know if an app is truly "not localized" vs just not available?

The scraper distinguishes between apps that don't appear in a country's store at all and apps that appear but with English-only metadata. Both are opportunities — but they require different strategies.

What countries does the scraper support?

All 40+ App Store country pages, including US, UK, Canada, France, Germany, Spain, Italy, Portugal, Brazil, Japan, South Korea, China, Australia, India, Mexico, Argentina, and all Nordic/Eastern European markets.

Can I use this data for ASO (App Store Optimization)?

Absolutely. Analyzing competitor descriptions across countries reveals which keywords they target in each language. This is invaluable for multi-market ASO strategies.

Is this approach ethical?

Cloning doesn't mean copying code or design. It means identifying proven demand in an underserved market and building a native solution for that audience. You're filling a gap, not stealing.

Start Finding Clone Opportunities Today

The window is closing. As more developers discover localization gaps, competition increases. The time to act is now.

👉 Try the Apple App Store Localization Scraper for free

Find your first clone opportunity in under 10 minutes. No credit card required.

By kazkn — building tools for app store intelligence and web scraping automation.

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