Did Google delete your client's 5-star review, or did a reported fake review finally disappear? The dedicated data engine for Google Maps review lifecycle auditing, removal detection, and change monitoring.
{
"input_url": "https://maps.app.goo.gl/wSLNNUnwRAwg1T4W9",
"resolved_url": "https://www.google.com/maps/reviews/data=!4m8!14m7...",
"status": "ACTIVE",
"is_active": true,
"is_removed": false,
"review_id": "Ci9DQUlRQUNvZENodHljRjlvT2tWaWExOUlkRFIwWVhFemJFa3pTekZVTlVjeGNHYxAB",
"place_id": "0x0:0x84e51f23e8c0a75c",
"place_cid": "ChIJ2_VLfRdawokRXKfA6CMf5YQ",
"review_url": "https://www.google.com/maps/reviews/data=!4m8!14m7!1m6!2m5!1sCi9DQUlRQ...",
"review_report_url": "https://www.google.com/local/content/rap/report?postId=Ci9DQUlRQ...",
"is_edited": false,
"review_modified_timestamp": null,
"reviewer_name": "RoRo",
"reviewer_id": "107907612947498246994",
"reviewer_url": "https://www.google.com/maps/contrib/107907612947498246994",
"reviewer_avatar_url": "https://lh3.googleusercontent.com/a-/...",
"reviewer_number_of_reviews": 3,
"review_stars": 1,
"review_text": "I visited this location during my first trip to New York...",
"review_photos": [
"https://lh3.googleusercontent.com/grass-cs/ACvplmOY0OUAUEn8J7yYHd1cCpWZ..."
],
"review_photos_count": 1,
"review_timestamp": "2024-03-29T16:56:56.125874+00:00",
"review_date": "6 months ago",
"review_language": "en",
"business_name": "McDonald's",
"business_address": "160 Broadway, New York, NY 10038, United States",
"business_categories": [
"Fast food restaurant",
"Coffee shop",
"Breakfast restaurant"
],
"business_primary_category": "Fast food restaurant",
"business_city": "New York",
"business_country": "United States",
"business_country_code": "US",
"business_latitude": 40.7094789,
"business_longitude": -74.0100364,
"business_timezone": "America/New_York",
"business_cover_image_url": "https://lh3.googleusercontent.com/grass-cs/ACvplmMYk...",
"has_owner_reply": true,
"owner_reply": "Thank you for bringing this to our attention. We have addressed this with our local team.",
"owner_reply_date": "5 months ago",
"owner_reply_timestamp": "2024-04-02T14:22:10.000000+00:00",
"owner_reply_language": "en",
"check_timestamp": "2026-10-01T21:08:28.579696+00:00"
}
Built specifically for high-throughput enterprise pipelines with zero credential leakage.
Confirm whether a specific review URL is still live, removed by Google algorithms, or taken down by the author.
Compare historical text, star ratings, and owner responses across sweeps to detect when reviewers update their feedback.
10x faster and 10x cheaper than browser automation, running at sub-second speeds with minimal compute.
Compile evidence packages and verify dispute status automatically on a schedule for hundreds of client profiles.
Trigger extractions via the official Apify Client or standard REST endpoints.
from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
"reviewsToCheck": [
"https://maps.app.goo.gl/wSLNNUnwRAwg1T4W9",
"https://www.google.com/maps/reviews/data=!4m8!14m7!1m6!2m5!1sChZDSUhNMG9nS0VJQ0FnSUNwLWNMM2J3EAE!2m1!1s0x0:0x57656ffbe42744ba!3m1!1s2@1:CAIQACodChtycF9oOlJORWFGdmxEN3VmeDI1VlFXRXotRXc%7C%7C?hl=en-US"
],
"proxyConfiguration": {
"useApifyProxy": True
}
}
run = client.actor("unitbytes/google-maps-reviews-tracker").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item.get("reviewer_name"), item.get("business_name"), item.get("review_date"))Traditional scrapers crawl entire place listings. This Actor inspects individual review permalinks to definitively verify whether a specific review is ACTIVE, REMOVED, or HIDDEN.
By executing direct protocol requests without running headless Chromium or Puppeteer, compute costs are slashed to bash and runs complete in milliseconds.
Yes. Schedule weekly or monthly runs with your client review URLs to immediately flag unexpected deletions.
Yes. By comparing output datasets between runs, you can immediately detect when a reviewer edited their rating or text.
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Our data engineering team provides private cluster deployments, custom webhook integrations, continuous schema monitoring, and high-frequency delivery directly to BigQuery, Snowflake, or AWS S3.
Start running immediately on UnitBytes Cloud with zero infrastructure setup, or contact our engineering team for dedicated S3/BigQuery delivery pipelines.