Fetchcraft LabsContact
Back to blogs
Build Note

Playstore Similar Apps Scraper: Export similar-app recommendations from Google Play

Get apps shown under Similar on Google Play for a seed app with the Fetchcraft Labs Apify actor.

Apr 20263 min readBy FetchCraft Labs
Play Store similar apps scraperapp recommendation scrapingGoogle Play similar appsApify actorPlaystore Similar Apps Scraper

Playstore Similar Apps Scraper

Collect the apps shown in Google Play's Similar section for a given seed app.

Actor: https://apify.com/fetchcraftlabs/playstore-similar-apps-scraper

Last reviewed: April 21, 2026.

Quick answer

Use this actor when you want recommendation-neighbor data from Google Play instead of manually checking similar-app carousels. It is useful for competitor discovery, adjacency mapping, and app-market research.

At a glance:

  • Input: a seed app and actor run configuration on the Apify listing.
  • Output: similar-app results associated with the seed app.
  • Best for: competitor discovery, recommendation mapping, and app landscape research.
  • Not ideal for: broad chart tracking or review analysis.

What it does

The actor focuses on one clear job: retrieving the apps shown under Similar on Google Play for a target app. That makes it useful when your research question is about proximity, category adjacency, or recommendation patterns rather than chart position or user reviews.

Who this is for

  • Growth teams: identify competitor and adjacent apps surfaced by Google Play.
  • Researchers: map recommendation neighborhoods around seed apps.
  • Product teams: study how a given app is positioned relative to nearby alternatives.
  • Automation teams: export similar-app relationships into internal tools.

Common use cases

  • Build competitor lists starting from a known seed app.
  • Map recommendation clusters across a market or niche.
  • Compare similar-app patterns for multiple products.
  • Feed adjacency data into app discovery workflows.

Why this actor is useful

Recommendation surfaces are often valuable because they reveal proximity, not just popularity. This actor turns that surface into structured data that can be stored, compared, and reused.

When to use it vs. when not to

Use this actor when:

  • You need similar-app relationships for one or more seed apps.
  • You are doing competitor discovery or adjacency research.
  • You want repeatable exports instead of manual browsing.

Look for another workflow when:

  • You need rankings rather than recommendation neighbors.
  • You need review text instead of app relationships.
  • You only need a quick manual check on one page.

Limitations and notes

  • This page is based on the repository description and actor positioning, not a live schema export.
  • If your workflow depends on specific metadata returned alongside the similar apps, validate with a small test run first.
  • Recommendation surfaces may vary depending on what Google Play currently exposes.

FAQ

Is this good for competitor discovery?

Yes. That is one of the clearest use cases because it helps identify apps Google Play places near a chosen seed app.

How is this different from chart scraping?

Chart scraping focuses on ranked lists. This actor focuses on recommendation adjacency around a specific app.

What should I validate first?

Validate the returned fields, result depth, and any source-specific variation before wiring the data into research or monitoring pipelines.

Related pages

Next steps

  • Run a seed-app test export and inspect the schema.
  • Map the results to your competitor or recommendation workflow.
  • Re-check the live actor page before larger recurring runs.