Google Play Reviews & App Data Scraper avatar

Google Play Reviews & App Data Scraper

Pricing

from $0.25 / 1,000 reviews

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Google Play Reviews & App Data Scraper

Google Play Reviews & App Data Scraper

Scrape Google Play reviews and app details for many apps, countries and languages in one run. Incremental mode returns only reviews newer than a date, for cheap daily monitoring. GDPR-friendly: reviewer names off by default.

Pricing

from $0.25 / 1,000 reviews

Rating

0.0

(0)

Developer

Mivah

Mivah

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

3 days ago

Last modified

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Scrape Google Play Store reviews and app details for any number of apps, countries and languages in a single run. Built for review monitoring: incremental mode returns only reviews newer than a date and stops paging immediately, so a daily run costs almost nothing.

What you get

  • ⭐ Reviews: star rating, review text, likes, app version, date, and the developer's reply with its date.
  • 📱 App details: title, developer, average rating, rating count, rating histogram (1–5★), installs (exact and range), price, genre, version, last update date, ads and in-app purchases.
  • 🌍 Many markets at once: combine any countries (us, gb, dk, de…) with any languages (en, da, de…).
  • 🔎 Search mode: give keywords like "budget app" and the Actor finds the top apps for you.
  • 🎯 Exact star filters: ask for 1–2★ reviews only. Google filters server-side, so you get exactly N matching reviews instead of N reviews of which a few match.
  • 🔁 Incremental monitoring: reviewsNewerThan: "1 day" plus a daily schedule gives you a feed of only new reviews.
  • 🛡️ GDPR-friendly by default: reviewer names are off unless you enable them, and profile images are never collected.

Use cases

  • Track negative reviews after each release and alert your team (pairs with Slack/Zapier/Make integrations).
  • Competitor analysis: compare rating histograms, update frequency and complaints across apps and countries.
  • Feed reviews to an LLM for sentiment and topic analysis. Works great from AI agents via the Apify MCP server.
  • App-store optimisation (ASO) research across markets.

Input example

{
"apps": ["com.spotify.music", "https://play.google.com/store/apps/details?id=com.netflix.mediaclient"],
"searchTerms": ["habit tracker"],
"countries": ["us", "gb"],
"languages": ["en"],
"maxReviewsPerApp": 500,
"sort": "newest",
"maxStars": 2,
"reviewsNewerThan": "7 days"
}

Output example

{
"type": "review",
"appId": "com.spotify.music",
"country": "us",
"language": "en",
"reviewId": "646bd8b5-…",
"userName": null,
"score": 2,
"content": "Casting to my speakers keeps disconnecting since the last update.",
"thumbsUpCount": 14,
"appVersion": "9.1.92.3058",
"at": "2026-10-19T23:14:33",
"replyContent": "Sorry to hear that! Please try…",
"repliedAt": "2026-10-20T08:02:11"
}

App rows have "type": "app". Filter on type in the dataset view or export.

Pricing

Pay only for what you get:

EventPrice
Actor start$0.00005
Review$0.00025 ($0.25 per 1,000)
App details row$0.002

A daily monitoring run for 5 apps that finds about 50 new reviews costs about $0.02.

Notes

  • Some apps aren't available in every country. They're skipped with a warning and the run continues.
  • Google Play exposes a limited history per sort order. For very large backfills, combine several star filters and sort orders.
  • This Actor only reads publicly available data. You're responsible for using it in line with applicable laws, including GDPR.