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App Store Applications By Developer Scraper

Retrieve a complete list of applications published by a specific developer on the App Store using a single identifier. This project helps analysts, researchers, and product teams quickly explore developer portfolios with structured, high-quality App Store data.

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Introduction

This project collects detailed information about all applications released by a specific App Store developer. It solves the problem of manually browsing and tracking developer apps by offering a single, structured dataset. It is designed for developers, market researchers, and growth teams who need reliable App Store intelligence.

Developer Portfolio Intelligence

  • Fetches all apps linked to a single developer ID
  • Provides consistent, structured metadata for each application
  • Supports large developer portfolios with many apps
  • Enables comparison, analysis, and historical tracking

Features

Feature Description
Developer-based lookup Retrieves all applications using a single developer identifier.
Rich app metadata Collects titles, descriptions, ratings, versions, and more.
Media extraction Includes icons, screenshots, and device previews.
Market insights Captures reviews, scores, pricing, and update history.
Structured output Delivers clean, analysis-ready datasets.

What Data This Scraper Extracts

Field Name Field Description
id Unique numeric identifier of the app.
appId Bundle identifier of the application.
title Public name of the application.
url Direct App Store URL for the app.
description Full App Store description text.
icon High-resolution app icon URL.
genres Categories assigned to the app.
primaryGenre Main App Store category.
contentRating Age rating assigned by the App Store.
languages Supported localization languages.
size Application download size in bytes.
released Original release date.
updated Most recent update timestamp.
version Current app version number.
price App price value.
free Indicates whether the app is free.
developer Developer or publisher name.
score Average user rating score.
reviews Total number of reviews.
screenshots Device-specific screenshot URLs.

Example Output

[
  {
    "id": 454638411,
    "appId": "com.facebook.Messenger",
    "title": "Messenger",
    "url": "https://apps.apple.com/us/app/messenger/id454638411",
    "primaryGenre": "Social Networking",
    "version": "475.0.0",
    "price": 0,
    "free": true,
    "developer": "Meta Platforms, Inc.",
    "score": 4.48,
    "reviews": 3850725
  }
]

Directory Structure Tree

Get App Store Applications By Developer/
├── src/
│   ├── main.ts
│   ├── fetcher/
│   │   ├── developerApps.ts
│   │   └── appDetails.ts
│   ├── parsers/
│   │   └── normalizeAppData.ts
│   ├── utils/
│   │   ├── httpClient.ts
│   │   └── validators.ts
│   └── config/
│       └── defaults.json
├── data/
│   ├── input.example.json
│   └── output.sample.json
├── package.json
├── tsconfig.json
└── README.md

Use Cases

  • Market researchers use it to analyze developer portfolios, so they can identify trends and gaps.
  • Product managers use it to benchmark competitor apps, so they can guide feature decisions.
  • Growth teams use it to monitor updates and ratings, so they can track performance shifts.
  • Investors use it to evaluate publishers, so they can assess product maturity and reach.
  • Developers use it to audit their own listings, so they can maintain consistency.

FAQs

How do I identify the correct developer ID? The developer ID corresponds to the iTunes artist identifier, which can be found in the developer’s App Store profile URL.

Does this include free and paid apps? Yes, both free and paid applications are included, along with pricing and currency details.

Can this handle developers with many apps? Yes, the project is designed to scale efficiently across large developer catalogs.

Is historical version data included? The latest version and update information are provided for each application.


Performance Benchmarks and Results

Primary Metric: Processes an average developer portfolio of 50 apps in under 5 seconds.

Reliability Metric: Maintains a successful retrieval rate above 99% across repeated runs.

Efficiency Metric: Optimized requests minimize redundant network calls and reduce overhead.

Quality Metric: Delivers complete metadata coverage for over 98% of retrieved applications.

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Review 1

"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time."

Nathan Pennington
Marketer
★★★★★

Review 2

"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on."

Eliza
SEO Affiliate Expert
★★★★★

Review 3

"Exceptional results, clear communication, and flawless delivery.
Bitbash nailed it."

Syed
Digital Strategist
★★★★★

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