Social Google Play Reviews Scraper

Monitor recent Google Play reviews for major social apps without maintaining a separate Android review scraper for every competitor. This Actor extracts structured public review data for Instagram, TikTok, YouTube, Facebook, Snapchat, and X, then saves JSON/CSV-ready records for dashboards, ASO research, sentiment analysis, and release monitoring.

Use it as the Android companion to the A2A App Store review Actor when you need cross-store social app feedback in a predictable format.

What you can do

• Track fresh Google Play reviews for major social apps.
• Compare Android complaints and praise across Instagram, TikTok, YouTube, Facebook, Snapchat, and X.
• Pair Android review signals with the App Store Actor for cross-platform release and sentiment monitoring.
• Feed review text, ratings, dates, versions, country, language, package names, and app IDs into BI dashboards, notebooks, or AI agents.
• Schedule recurring runs and export results from Apify as JSON, CSV, Excel, or via API.

Best fit

• Product teams watching competitor reviews across iOS and Android.
• ASO and growth teams mining review language for keywords and objections.
• Agencies building weekly social app market reports.
• Researchers and agent builders that need predictable public review data.
• Developers who want fixed-target inputs instead of arbitrary package scraping.

Target scope

This Actor is not a universal Google Play scraper. It only fetches reviews for package names configured in src/targets.js.

Current allowlisted targets:

• Instagram
• TikTok
• YouTube
• Facebook
• Snapchat
• X

Public callers can select one target app or all configured targets. They cannot provide arbitrary package names, app IDs, URLs, proxy settings, cookies, authorization headers, Google account credentials, or custom network code.

Quick start

1. Click Try for free.
2. Keep targetId set to all for a social app review snapshot, or select one app.
3. Keep countries as ["us"] and languages as ["en"], or add supported Google Play country and language codes.
4. Set sortId to newest for monitoring runs.
5. Set maxItems to the maximum number of review records you want.
6. Start the run and export the dataset from Apify Storage.

Example input:

{
  "targetId": "all",
  "countries": ["us"],
  "languages": ["en"],
  "sortId": "newest",
  "maxItems": 300
}

Output

Each dataset item uses a compact Google Play review schema:

{
  "id": "review-id",
  "date": "2026-06-17T00:00:00.000Z",
  "userName": "reviewer",
  "version": "1.0.0",
  "score": 1,
  "scoreText": "1",
  "title": "",
  "text": "Review text",
  "thumbsUp": 0,
  "replyDate": "",
  "replyText": "",
  "url": "https://play.google.com/store/apps/details?id=com.instagram.android",
  "country": "US",
  "language": "en",
  "appId": "instagram",
  "packageName": "com.instagram.android",
  "appName": "Instagram"
}

Security

This Actor follows the shared workspace security policy in ../../SECURITY.md. Runtime validation rejects unknown and dangerous JSON keys. The review event is charged only for Google Play review records successfully written to the dataset.

Pricing

Suggested Apify pay-per-event setup:

• Event name: review
• Event title: Review
• Event price: $0.00009
• Equivalent: $0.09 / 1K reviews

Local commands

npm test
npm start