Deep reputation intelligence for Google Maps. Audit Local Guide contributor profiles, unmask fake or paid review syndicates, track deleted/edited negative reviews, and protect your brand rating.
{
"contributorId": "1048291049281920",
"name": "Sarah Jenkins",
"localGuideLevel": 7,
"totalPoints": 8450,
"totalReviews": 184,
"totalPhotos": 420,
"reviews": [
{
"venueName": "The French Bistro Austin",
"rating": 5,
"reviewText": "Exceptional duck confit and attentive service. A staple in downtown Austin!",
"publishDate": "2026-08-14",
"likesCount": 12
}
],
"scrapedAt": "2026-09-25T14:30:00Z"
}
Built specifically for high-throughput enterprise pipelines with zero credential leakage.
Track changes across review histories to identify when critical reviews are quietly scrubbed or modified.
Extracts exact contributor level (Level 1-10), total review points, badge history, and review trust weights.
Audit reviewer historical patterns to detect coordinated 1-star attack networks or paid review rings.
Extracts star rating, detailed review paragraphs, owner response timestamps, and attached review photo links.
Trigger extractions via the official Apify Client or standard REST endpoints.
from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
"contributorUrls": ["https://www.google.com/maps/contrib/1048291049281920/reviews"],
"maxReviews": 50
}
run = client.actor("unitbytes/google-maps-contributor-scraper").call(run_input=run_input)
for contributor in client.dataset(run["defaultDatasetId"]).iterate_items():
print(contributor["name"], contributor["localGuideLevel"], contributor["totalReviews"])Place reviews only show what is currently visible on that venue. Scraping the contributor full profile reveals if they review 5 competitors negatively in 2 days, establishing evidence of review fraud.
Yes, reviews with attached user photos include high-resolution photo URLs and view counts.
Yes, agencies use this tool to compile evidence packages when requesting removal of malicious or fraudulent Google reviews.
Extraction runs asynchronously at sub-second rates per contributor profile via parallel network requests.
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Extract high-resolution contributor photos from Google Maps venues, restaurants, and points of interest with view counts and upload timestamps.
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.