Google Play Reviews Scraper | Star Filter & Reply Intel avatar

Google Play Reviews Scraper | Star Filter & Reply Intel

Pricing

from $0.06 / 1,000 review results

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Google Play Reviews Scraper | Star Filter & Reply Intel

Google Play Reviews Scraper | Star Filter & Reply Intel

Scrape Google Play app reviews at $0.08/1,000 — full pagination, star filter, newest/relevance sort, developer replies with reply-delay intel, keyword filter and per-app summary. HTTP-only, no login, no key.

Pricing

from $0.06 / 1,000 review results

Rating

0.0

(0)

Developer

Mr Zack

Mr Zack

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

0

Monthly active users

4 days ago

Last modified

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Scrape Google Play app reviews for any app, at scale, for less: $0.08 / 1,000 reviews (plus a $0.01 run fee) — the lowest per-review price in this category on Apify. HTTP-only, no login, no API key, no browser, no proxy add-ons. Pay per result ($0.08 / 1,000 reviews + $0.01 per run), MCP-ready (call it from Claude/Cursor via the Apify MCP server).

Give it one or more package IDs (com.whatsapp) or Play Store URLs and get back clean JSON/CSV rows with the review text, star rating, timestamp, helpful votes, the app version the user was on, and — where the developer answered — the full developer reply plus how many days the reply took.

Who uses this

  • Product & support teams monitoring their own app (and their competitors') for crashes, complaints and feature requests — schedule it and only pay for new reviews with newerThanDays.
  • ASO / mobile-marketing analysts mining 1-star reviews of competitor apps for positioning gaps.
  • Data & ML teams building sentiment datasets: rating + text + language + country, deduplicated by review ID.
  • Agencies reporting on app reputation: the run summary gives you average rating, % 1-star, developer reply rate and median reply delay per app — no post-processing needed.

What you get per review

FieldDescription
appId, appTitle, appUrlWhich app the review belongs to
appScore, appRatingsCount, appDeveloper, appCategoryStore-wide context on every row (free): compare the window you scraped against the app's overall score
reviewIdStable unique ID — safe for dedup across runs
userNameReviewer display name
rating1–5 stars
textReview text (null for rating-only reviews — never a fake empty string)
reviewedAt, reviewAgeDaysISO timestamp + age in days
thumbsUpCountHelpful votes
appVersionApp version the reviewer was on — spot which release broke things
hasDeveloperReply, developerReplyText, developerRepliedAtFull developer response
replyDelayDaysHow long the developer took to reply — support responsiveness intel you won't find in other review scrapers
language, country, sortModeExactly what storefront slice this row came from

Every run also writes a SUMMARY record to the key-value store: reviews collected, average rating in the window, star histogram, % 1-star, developer reply rate, median reply delay, top app versions, plus overall app metadata (title, developer, category, lifetime score and ratings count).

Why this one

  • Price: $0.08/1k vs $0.10–$6.00/1k elsewhere in the category. Filtered-out reviews (star filter is server-side, keyword filter client-side) are never charged.
  • Reply intel: developer replies and reply-delay stats — most review scrapers drop or ignore replies.
  • Deep history: token-based pagination up to 100,000 reviews per app per run.
  • Any storefront: language + country inputs cover every Play locale (en/us, de/de, pt/br, id/id, …).
  • Honest data: rating-only reviews keep text: null, timestamps are validated, zero rows are never invented. Typed output schema included — AI agents can read the shape via MCP/API before calling.

Example input

{
"appIds": ["com.whatsapp", "https://play.google.com/store/apps/details?id=org.telegram.messenger"],
"maxReviewsPerApp": 2000,
"sort": "newest",
"starsFilter": "1",
"language": "en",
"country": "us",
"filterKeyword": "backup"
}

→ every 1-star English/US review of WhatsApp and Telegram that mentions "backup", newest first, with developer replies attached. Cost: at most 2 × 2,000 × $0.00008 + $0.01 ≈ $0.33.

Example output (one real row, 7 Sep 2026)

Default input (appIds: ["com.whatsapp"], sort: "newest", maxReviewsPerApp: 500) returned 500 rows in ~20 s. One row, untouched:

{
"appId": "com.whatsapp",
"appTitle": "WhatsApp Messenger",
"appUrl": "https://play.google.com/store/apps/details?id=com.whatsapp",
"reviewId": "d40bb75a-d1a5-44b3-863d-c8624445efe9",
"userName": "Jonathan Spencer",
"rating": 1,
"text": "The most useless app I've encountered since apps were invented. I have it on my phone, and whenever I try to link it to another device - PC or tablet, using their app - the account is placed under review, during which time I can't use it, without explanation. ...",
"reviewedAt": "2026-08-28T20:40:15.000Z",
"reviewAgeDays": 8.9,
"thumbsUpCount": 4,
"appVersion": "2.26.33.74",
"language": "en",
"country": "us",
"sortMode": "newest",
"hasDeveloperReply": false,
"developerReplyText": null,
"developerRepliedAt": null,
"replyDelayDays": null
}

Cost of that run: 500 × $0.00008 + $0.01 = $0.05. The SUMMARY record in the key-value store adds per-app average rating, % 1-star, developer reply rate and median reply delay.

How to schedule this Actor (the right way)

Review monitoring only makes sense on a schedule:

  1. Open the Actor → Schedules tab → Create new schedule (e.g. @daily).
  2. Set sort = newest and newerThanDays = 1 (or 7 for weekly runs).
  3. The run stops paging the moment it hits reviews older than the window — a daily WhatsApp check typically costs under a cent.
  4. Add an integration (Slack/email/webhook) on the schedule to get new 1-star reviews pushed to your team, or read the SUMMARY key for the daily reply-rate numbers.

Notes & fair use

Public data only, polite request pacing, no login, no personal data beyond what Google publicly displays with each review. Rate limits are respected with retries and backoff; if Google throttles a huge run, the Actor keeps what it collected instead of failing.

Changelog

  • 0.1.3 (19 Sep 2026) — Default app changed to Spotify, plus a typo guard on input. The old default (WhatsApp) never answers reviews, so a first run showed the developer-reply columns completely empty and the Reply Intel feature looked broken. Spotify answers ~20–40 % of reviews, so the columns now demonstrate themselves. Unknown input fields (e.g. maxReviews instead of maxReviewsPerApp) are now reported in the log instead of being ignored silently.
  • 0.1.2 (16 Sep 2026) — A run with no input no longer fails: the example input is the default, so "Run" with an empty form (or {} via API) returns the demo dataset. Output unchanged.
  • 0.1.1 (14 Sep 2026) — Every review row now carries appScore, appRatingsCount, appDeveloper, appCategory (from the store page, free) so the dataset is self-contained. Existing fields unchanged.
  • 0.0.7 (11 Sep 2026) — newerThanDays no longer stops at the first older review inside a page (Play's newest order is only roughly chronological); the whole page is filtered and paging stops only once an entire page is older than the cutoff. Note: Play publishes reviews with a 1–3 day lag, so very small windows legitimately return few rows.
  • 0.0.6 (11 Sep 2026) — Fix: sort: newest was silently returning Google's "most helpful" order (Play moved the sort slot in its batchexecute payload), so newerThanDays found almost nothing. Newest now returns today's reviews (Instagram: 300 rows, all within 2 days) and star + date filters combine correctly. Live gate tightened: page 1 of newest must span ≤3 days.
  • 2026-09-07 — README: real example row, pricing math, related Actors. Fetch timeouts + default run limits (memory 512 MB) so a throttled run can never hang for an hour.
  • 2026-08 — Initial release: full pagination, star filter, newest/relevance sort, keyword filter, multi-language/country, reply-delay intel (replyDelayDays, hasDeveloperReply), newerThanDays early stop, per-app SUMMARY.

Found this useful? Bookmark & review

If it saved you time, a ⭐ review on this page helps more people find it — and a bookmark keeps it one click away. Hit a problem? Open an Issue on the Issues tab — it's actively maintained and I usually respond within a day.