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.
{
"contributor_name": "Reema Mulchandani",
"contributor_id": "102520373756565203865",
"contributor_url": "https://www.google.com/maps/contrib/102520373756565203865/reviews",
"avatar_url": "https://lh3.googleusercontent.com/a-/ALV-UjXc8pSarhgq2xG0mE6F3j...",
"is_local_guide": true,
"local_guide_level": 7,
"local_guide_points": 8119,
"points_to_next_level": 15000,
"points_away_from_next_level": "6,881 points to Level 8",
"current_level_min_points": 5000,
"next_level_target_points": 15000,
"badge_url": "https://maps.gstatic.com/mapfiles/localguides/badges/18px/level7.png",
"next_level_badge_url": "https://maps.gstatic.com/mapfiles/localguides/badges/18px/level8.png",
"total_reviews_count": 113,
"total_ratings_count": 11,
"total_photos_count": 878,
"total_videos_count": 21,
"total_captions_count": 45,
"total_answers_count": 557,
"total_edits_count": 3,
"total_places_added_count": 1,
"total_roads_added_count": 0,
"total_qa_count": 8,
"total_reported_incorrect_count": 0,
"is_private": false,
"status": "ACTIVE",
"review_id": "Ci9DQUlRQUNvZENodHljRjlvT2psaGVHNUNWMkpPYlRWVFdqZ3RMVXRmWTJOMk0yYxAB",
"place_name": "Juhu Cafe",
"place_category": "Cafe",
"place_category_slug": "cafe",
"place_address": "517 Union Blvd Unit B, Totowa, NJ 07512",
"place_street_address": "517 Union Blvd Unit B",
"place_id": "ChIJv8t4KBT_wokRCf-EIyWAT54",
"place_url": "https://www.google.com/maps/place//data=!4m2!3m1!1s0x89c2ff142878cbbf:0x9e4f80252384ff09",
"place_cover_photo_url": "https://lh3.googleusercontent.com/p/AF1QipN38Xy54W_...",
"place_city": "Totowa",
"place_country": "United States",
"place_country_code": "US",
"place_timezone": "America/New_York",
"place_kgmid": "/g/11bwh5xyjm",
"place_price_range": "$10–20",
"latitude": 40.901379,
"longitude": -74.216956,
"stars": 5,
"review_date": "2 weeks ago",
"review_timestamp": 1788632301325,
"review_datetime_utc": "2026-09-05T18:18:21+00:00",
"is_review_edited": false,
"review_created_timestamp": 1788632301325,
"review_created_datetime_utc": "2026-09-05T18:18:21+00:00",
"review_updated_timestamp": 1788632301325,
"review_updated_datetime_utc": "2026-09-05T18:18:21+00:00",
"review_text": "Juhu Cafe is a wonderful new addition to the area. The beachy atmosphere is bright and welcoming...",
"review_language": "en",
"review_permalink": "https://www.google.com/maps/reviews/data=!4m8!14m7!1m6!2m5!1sCi9DQUlRQUNvZENodHljRjlvT2psaGVHNUNWMkpPYlRWVFdqZ3RMVXRmWTJOMk0yYxAB!2m1!1s0x0:0x9e4f80252384ff09",
"review_report_url": "https://www.google.com/local/content/rap/report?postId=Ci9DQUlRQUNvZENodHljRjlvT2psaGVHNUNWMkpPYlRWVFdqZ3RMVXRmWTJOMk0yYxAB",
"contrib_place_url": "https://www.google.com/maps/contrib/102520373756565203865/place/ChIJv8t4KBT_wokRCf-EIyWAT54",
"photos": [
"https://lh3.googleusercontent.com/grass-cs/ACvplmNaKbdVwMT1TibHnx1u8sfePPuH8hInF7w7ROzAMp5U..."
],
"dining_mode": "Dine in",
"meal_type": "Brunch",
"spend_per_person": "$50–60",
"food_rating": 5,
"service_rating": 5,
"atmosphere_rating": 5,
"wait_time": "No wait",
"noise_level": "Quiet",
"seating_type": "Indoor dining",
"reservation_policy": "No reservation needed",
"group_size": "2 people",
"vegetarian_recommended": true,
"review_aspects": {
"mode": "Dine in",
"meal_type": "Brunch",
"price_range": "$50–60",
"food_aspect": 5,
"service_aspect": 5,
"atmosphere_aspect": 5,
"wait_time": "No wait",
"noise_level": "Quiet",
"seating_type": "Indoor dining",
"reservation_policy": "No reservation needed",
"group_size": "2 people",
"vegetarian_recommended": true
},
"has_owner_reply": true,
"owner_reply": "Thanks so much for such a thoughtful review, Reema! We’re so glad you enjoyed your visit.",
"owner_reply_date": "2 weeks ago",
"owner_reply_timestamp": 1788640170000,
"owner_reply_datetime_utc": "2026-09-05T20:29:30+00:00",
"owner_reply_language": "en",
"error": null,
"timestamp": "2026-09-25T11:00:00.000Z"
}
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 = {
"contributors": ["https://www.google.com/maps/contrib/102520373756565203865"],
"proxyConfiguration": {
"useApifyProxy": True,
"apifyProxyGroups": ["RESIDENTIAL"]
}
}
run = client.actor("unitbytes/google-maps-contributor-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item.get("contributor_name"), item.get("place_name"), item.get("place_price_range"))
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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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.