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How to Find a $10k/mo SaaS Idea with Python & Apify (Geo-Arbitrage)

#python #tutorial #api #indiehacker

The biggest mistake developers make is writing code before validating the market. We spend 6 months building a complex web app, launch it on Product Hunt, get 50 upvotes, and then... zero revenue.

Meanwhile, smart indie hackers are quietly making $10k/month by cloning successful US apps for France, Germany, Spain, and Italy.

This strategy is called App Store Geo-Arbitrage.

In this tutorial, I'll show you exactly how to automate the research using the Apify API and the Apple App Store Localization Scraper.

We will use Python to find apps that are making money in the US but have ZERO European competitors.

🌍 The Concept: Geo-Arbitrage

Let's say a developer builds an "ADHD Planner" app. It goes viral in the US, getting 16,000+ reviews and printing MRR (Monthly Recurring Revenue). But the developer is a solo founder in California who doesn't speak French, German, or Spanish.

That means the app is only available in English.

If a French user searches for an "ADHD Planner" on their local App Store, they either find nothing, or they download the US app and leave a 1-star review saying: "Great app, but please translate it to French!"

Your job is to build that localized clone.

🛠️ Step 1: Setting up the Scraper API

We will use the Apify Python SDK to automate the search. The goal is to search the US App Store for a keyword (like "ADHD Planner") and explicitly check if those top-grossing apps support French (fr).

First, install the Apify client:

pip install apify-client
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🧑‍💻 Step 2: The Python Script

You will need your Apify API token (you can get it for free from your Apify Console).

Here is the exact script to find the gap:

from apify_client import ApifyClient

# Initialize the ApifyClient with your API token
client = ApifyClient("YOUR_APIFY_API_TOKEN")

# Prepare the Actor input
run_input = {
    "mode": "search",
    "searchTerm": "adhd planner",
    "country": "us",
    "maxResults": 50,
    "checkLanguage": "fr",  # Check if the app supports French
    "includeReviews": False,
}

print("Running the App Store Scraper on Apify...")

# Run the Actor and wait for it to finish
run = client.actor("kazkn/apple-app-store-localization-scraper").call(run_input=run_input)

# Fetch and print the results from the run's dataset
print("Extracting the JSON data...")
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    name = item.get("name")
    reviews = item.get("ratingsCount")
    missing_fr = item.get("MISSING_FR")

    # We only want apps with high demand but NO French translation
    if reviews > 5000 and missing_fr == True:
        print(f"🔥 BLUE OCEAN FOUND: {name} | {reviews} US Reviews | Missing FR: {missing_fr}")
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📊 Step 3: Analyzing the Data

When you run this script, the Apify Actor bypasses all Apple API limits and directly scrapes the raw JSON payload of the App Store.

Your output will look something like this:

Running the App Store Scraper on Apify...
Extracting the JSON data...
🔥 BLUE OCEAN FOUND: Routine Planner, Habit Tracker | 16446 US Reviews | Missing FR: True
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Boom. You just found your next SaaS idea.

You now know that "Routine Planner, Habit Tracker" is a highly successful app with massive demand in the US, but it completely ignores the French market. You have achieved Product-Market Fit before writing a single line of code.

🔎 Step 4: Validating with 1-Star Reviews

Before you start coding your clone, you need absolute proof that the local market wants it.

You can run the same Actor in mode: "reviews", set the country: "fr", and extract all the 1-star and 2-star reviews of the US app.

If you see reviews like:

"L'application est géniale mais impossible de l'utiliser si on ne parle pas anglais. Désinstallée." (The app is great but impossible to use if you don't speak English. Uninstalled.)

You know exactly what to build.

🚀 Conclusion

Stop guessing what to build. Stop brainstorming in the shower. Use data extraction to find existing markets with zero competition.

You can try the Apple App Store Localization Scraper here on Apify. It also works for checking Spanish (es), German (de), Italian (it), and 170+ other languages.

What niche are you going to analyze first? Let me know in the comments!

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