Apps Dataset

The Batch API Apps Dataset provides comprehensive app intelligence across iOS and Android platforms, enabling you to analyze app performance, user behavior, competitive positioning, and technology adoption. Access detailed metrics on downloads, user engagement, demographics, retention, rankings, and cross-platform usage patterns.

What you can track

• App performance — Monthly active users, downloads, session data, and engagement metrics.
• User demographics — Age and gender breakdowns for app audiences.
• Technology stack — SDKs and third-party integrations within apps.
• Review analysis — Analyze apps’ reviews at scale, with sentiment and key topics.
• Ratings — Apps’ ratings and rating trends over time.
• User retention — 30-day retention rates for Android apps.
• App store rankings — Historical placement data for both iOS and Android.
• App affinity — User overlap between apps for partnership and competitive analysis.

Getting started

1. Authentication

 

  curl --location 'https://api.similarweb.com/batch/v5/request-report' \
--header 'api-key: {{API_KEY}}' \
--header 'Content-Type: application/json' \
--request POST \
--data body

Available tables (vtables)

App Intelligence (apps)

Primary use case: Core app performance metrics, user engagement, and demographics.

Primary keys: apps, country

Important notice:

On september 1, 2026 the following metrics data was updated to reflect a new and improved estimation model:

• Daily/Weekly/Monthly Active Users
• Downloads
• Sessions (Avg. Sessions per user, Avg. Session time per user, Avg. Total Time per user)

In order to access the new data, add the following key/value inside the “tables” block:

“data_version=apps_beta_v2026-07"

 

  {
  "delivery_information": {"response_format": "csv", "delivery_method_params": {"retention_days": 60}},
  "report_query": {
    "tables": [{
      "vtable": "apps",
      "granularity": "monthly",
      "filters": {"apps": ["com.facebook.katana","284882215"], "countries": ["WW","US"]},
      "metrics": ["application_name","apps_mau_ios","apps_mau_android","apps_downloads_ios","apps_downloads_android","apps_install_penetration","apps_total_sessions_ios","apps_total_sessions_android","apps_avg_sessions_time_ios","apps_avg_sessions_time_android","apps_demographics_male_percentage","apps_demographics_female_percentage"],
      "start_date": "2025-03","end_date": "2025-06"
    }]
  }
}

App Technographics (apps_technographics)

Primary use case: Technology stack analysis and SDK adoption tracking.

Primary keys: apps (returns SDKs for an app) or sdk_slug (returns apps for an SDK).

App Review Analysis (apps_reviews_analysis)

Primary use case: Analyze apps’ reviews at scale, broken down by sentiment, key topics, rating value, and app version.

Primary keys: apps

App Ratings (apps_ratings)

Primary use case: Apps’ ratings and rating trends over time, broken down by average rating, ratings count, and 1-5 star distribution.

Primary keys: apps

App Retention (apps_retention)

Primary use case: User retention analysis and app stickiness measurement.

Primary keys: apps

Metric: apps_retention_android — Percentage of users who used the app 30 days after first opening it. Granularity: Monthly.

App Ranking History (apps_ranking_history)

Primary use case: App store performance tracking and competitive ranking analysis.

Primary keys: apps

Apps Affinity (apps_affinity)

Primary use case: Identify apps with overlapping user bases for partnership opportunities or competitive threats (Android only).

Primary keys: apps, country

Metric: apps_affinity_android — Returns apps with overlapping user bases. Granularity: Monthly.