Google Maps Reviewer Profile & Local Guide History Scraper

🔍 The Reverse Search Engine for Google Maps Reviews

Standard Google Maps tools only scrape by business. They cannot show you who is reviewing, what else they’ve posted, or whether their profile is authentic.

This Actor lets you search in reverse: Paste any reviewer's profile link or User ID to instantly export their full review history, Local Guide badges, ratings, photos, and places visited directly into Excel, CSV, or JSON in under 2 seconds.

🎁 Free Trial Included: Test free with your Apify starter credits — extract hundreds of reviews with zero commitment!

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⚡ UnitBytes · Google Maps & Local Business Reputation Ecosystem
🗺️ Contributor Profiles 📍 You are here Full review history & levels	🔍 Reviews Change Tracker Status & Takedowns Detect deleted & edited reviews	📸 Contributor Photos High-Res Media Original =s0 images & views

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🚀 How to Use (3 Quick Steps)

1. Paste any Google Maps reviewer profile link (or numeric User ID)
2. Click Start
3. Download your ready-to-use Excel (.xlsx) or CSV spreadsheet in under 2 seconds!

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⭐ Loving this Scraper?
If this tool saved you hours of work, please support us with a 5-Star Rating on the Apify Store! It directly helps us keep this tool actively maintained and updated.

💬 Need Help, Custom Enhancements, Bug Reports, or Bulk Scraping?
Have a question, want a specific data format, or encountered a bug? Email us directly at contact@unitbytes.com or open a ticket in the Apify Issues Tab — we respond fast!

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⭐ Why Users Love This Tool:

• ⚡ Lightning Fast: Extracts up to 200 reviews in under 2 seconds with instant responses and zero timeouts.
• 📊 100% No-Code & Spreadsheet Ready: Open directly in Microsoft Excel, Google Sheets, or CSV with clean columns.
• 🏆 Complete Local Guide Badges & Progression: Uncover Local Guide Level (1–10), total points, badges, and lifetime contribution stats.
• 🔗 Verified Review Permalinks: Direct clickable URLs leading straight to every single review on Google Maps.
• 📍 Full Location Details: Complete place names, business categories, addresses, city, country, price range, and direct place links.
• 🛡️ Zero Waste: Pay only for data actually extracted. Zero review charges for private profiles or 0-review accounts.
• 🚀 No Monthly Subscription: Pay-per-event on demand whenever you need it.

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❓ What Problem Does This Solve?

Google Maps offers no export button to inspect reviewer profiles, audit Local Guide history, or retrieve reviews written by a specific user. Whether you are vetting reviewer credibility, uncovering influencer journeys, or auditing suspicious review attacks, manual analysis is virtually impossible at scale.

This Actor accepts Google Maps Contributor URLs, reviewer profile links, reviews tab links, share shortlinks, or numeric User IDs and delivers clean, structured data ready for Excel, CSV, or database storage:

• 🕵️‍♂️ Audit 1-Star Review Bombers: Inspect negative reviewers to see if they are brand-new throwaway accounts, paid competitor trolls, or legitimate customers.
• 🏆 Local Guide Verification: Uncover Local Guide Level (1 to 10), total points, target points needed for the next level, and official badge icon.
• 📊 Lifetime Contribution Counters: Public counts of written reviews, ratings, uploaded photos, videos, answers, and approved map edits.
• 👤 Profile Identity: Public display name, avatar photo, and verified user ID.
• 📜 Full Reviews History: Detailed review text, star ratings (1–5), direct permanent review links, publication dates, and attached high-resolution photos.
• ⏰ Exact Dates & Timestamps: Microsecond-precision timestamps and ISO 8601 UTC dates for timeline and trend analysis.
• 📍 Place & Location Details: Place name, business category, street address, city, country, price range, and direct place links.
• 🍽️ Dining & Experience Aspects: Reviewer-reported dining mode (Dine-in / Takeout), meal type (Brunch / Dinner), spend per person, and food/service/atmosphere scores.
• 💬 Business Owner Responses: Extracts the owner's response text and reply date whenever a business responded.
• 🛡️ Privacy & Status Detection: Identifies active profiles, private accounts, and invalid links without crashing.

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🥊 Why Choose This Scraper? (Feature Comparison)

Capability	🗺️ This Actor	Other Scrapers	Legacy Tools
Speed	⚡ Under 2 seconds per profile	10–30s per profile	1–3 minutes
Reliability	100% Stable (Zero freezing or crashes)	Moderate	Frequently crashes or times out
Spreadsheet Ready	✅ Excel (.xlsx), CSV, Google Sheets	⚠️ JSON only	⚠️ Inconsistent columns
Exact Review Timestamps	✅ Exact UTC timestamp & epoch ms	❌ Fuzzy text only ("3 weeks ago")	❌ Fuzzy text only
Direct Review Permalinks	✅ Yes (direct link to review)	❌ Missing	❌ Missing
Direct Place Links & Details	✅ Place URL, city, country, price	❌ Basic name only	⚠️ Incomplete
Review Aspects & Sub-scores	✅ Food, service, atmosphere scores	❌ Missing	❌ Missing
Review Photo URLs	✅ Complete high-res photos array	⚠️ Partial	❌ Omitted
Business Owner Replies	✅ Full reply text & date	⚠️ Inconsistent	❌ Missing
Complete Local Guide Metrics	✅ Level, points, next tier, badge	⚠️ Partial	❌ Often missed
Billing Model	🎯 Pay-Per-Event (pay only for results)	High monthly fees	High server compute overhead

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📦 Two Flexible Export Formats

You can choose your preferred output structure under the Output Format setting:

1. flattened (Default — 1 Row per Review)

• Best for: Microsoft Excel, Google Sheets, CSV, Airtable, or SQL databases.
• Ready to Open: Each row contains a single review together with the reviewer's full profile information. Non-technical users get clean, readable spreadsheet columns without needing to parse nested data.
• Automatic Handling: If a profile has 15 reviews, it produces 15 spreadsheet rows. If a profile is private or has 0 reviews, it outputs 1 row with their public profile stats and status: "PRIVATE".

2. nested (1 Document per Contributor)

• Best for: Developers, APIs, JSON exports, and CRM pipelines.
• Clean Document Hierarchy: Each document represents 1 contributor profile containing a complete reviews: [...] list of all their reviews. Ideal for storing contributor profiles as distinct documents in MongoDB, PostgreSQL (JSONB), or feeding directly into custom web applications.
• Python & Data Science: Easy to group or iterate by contributor profile without deduplicating profile metadata.

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Spreadsheet Columns / Fields

Field Name	Type	Description
contributor_name	string | null	Public display name of the reviewer
contributor_id	string	Google Maps 21-digit numeric user ID
contributor_url	string	Direct canonical link to the contributor profile
avatar_url	string | null	Profile avatar image URL
is_local_guide	boolean	true if the contributor is a verified Local Guide
local_guide_level	integer | null	Local Guide tier (1 to 10)
local_guide_points	integer | null	Total accumulated Local Guide points
points_to_next_level	integer | null	Points needed to reach the next tier
points_away_from_next_level	string | null	Points away progress text (e.g. "6,881 points away from Level 8")
current_level_min_points	integer | null	Minimum points threshold for current tier
next_level_target_points	integer | null	Target points needed for next tier
badge_url	string | null	Official Local Guide badge icon link
next_level_badge_url	string | null	Official Local Guide badge icon link for the next tier
total_reviews_count	integer | null	Lifetime reviews written
total_ratings_count	integer | null	Lifetime star ratings submitted without text
total_photos_count	integer | null	Total photos contributed
total_videos_count	integer | null	Total videos contributed
total_captions_count	integer | null	Total photo captions contributed
total_answers_count	integer | null	Total community answers
total_edits_count	integer | null	Total approved map edits
total_places_added_count	integer | null	Total new places added to Google Maps
total_roads_added_count	integer | null	Total new roads added to Google Maps
total_qa_count	integer | null	Total community Q&A contributions
total_reported_incorrect_count	integer | null	Total incorrect listings reported
is_private	boolean	true if the profile has private/restricted contributions
status	string	"ACTIVE", "PRIVATE", "NOT_FOUND", or "UNKNOWN"
review_id	string | null	Unique Google Maps review ID
place_name	string | null	Name of the reviewed business or landmark
place_category	string | null	Business category (e.g. "Cafe", "Restaurant")
place_category_slug	string | null	Machine slug for business category (e.g. "cafe", "thai_restaurant")
place_address	string | null	Full physical street address
place_street_address	string | null	Street line without city or zip code (e.g. "517 Union Blvd Unit B")
place_id	string | null	Google Place ID (CID)
place_url	string | null	Direct Google Maps link to the reviewed business
place_cover_photo_url	string | null	High-resolution cover photo link of the business
place_city	string | null	City of the reviewed place
place_country	string | null	Country of the reviewed place
place_country_code	string | null	Country code (e.g. "US", "GB")
place_timezone	string | null	IANA timezone (e.g. "America/New_York")
place_kgmid	string | null	Google Knowledge Graph entity ID (e.g. "/g/11bwh5xyjm")
place_price_range	string | null	Price level or cost per person (e.g. "$10–20")
latitude	float | null	GPS latitude
longitude	float | null	GPS longitude
stars	integer | null	Star rating given (1 to 5)
review_date	string | null	Relative review date (e.g. "a week ago", "3 months ago")
review_timestamp	integer | null	Exact Unix timestamp in milliseconds (e.g. 1788632301000)
review_datetime_utc	string | null	Exact publication ISO 8601 UTC timestamp (e.g. "2026-09-05T18:18:21+00:00")
is_review_edited	boolean	true if reviewer modified their review after publication
review_created_timestamp	integer | null	Initial publication timestamp in milliseconds
review_created_datetime_utc	string | null	Initial publication ISO 8601 UTC date
review_updated_timestamp	integer | null	Last-edited timestamp in milliseconds
review_updated_datetime_utc	string | null	Last-edited ISO 8601 UTC date
review_text	string | null	Full text content of the review
review_language	string | null	Detected review language code (e.g. "en", "es")
review_permalink	string | null	Direct Google Maps permalink to this specific review
review_report_url	string | null	Direct Google dispute URL to report review for policy violations
contrib_place_url	string | null	Contributor place URL on Google Maps
photos	array	High-resolution photo URLs attached to this review
dining_mode	string | null	Dining mode reported by reviewer ("Dine in", "Take out", "Delivery")
meal_type	string | null	Meal type reported by reviewer ("Brunch", "Dinner", "Lunch")
spend_per_person	string | null	Reported spend per person range (e.g. "$50–60")
food_rating	integer | null	Guided food quality rating (1 to 5)
service_rating	integer | null	Guided service rating (1 to 5)
atmosphere_rating	integer | null	Guided atmosphere rating (1 to 5)
wait_time	string | null	Reported wait time ("No wait", "15–30 min")
noise_level	string | null	Reported noise level ("Quiet", "Moderate", "Loud")
seating_type	string | null	Reported seating type ("Outdoor seating", "Booth")
reservation_policy	string | null	Reported reservation requirement ("Reservations required", "Walk-in")
group_size	string | null	Reported party size ("Solo", "2 people", "Group of 4+")
vegetarian_recommended	string | null	Vegetarian recommendation ("Highly recommend")
review_aspects	object	Complete dictionary of all guided review questions and answers
has_owner_reply	boolean	true if the business owner replied to this review
owner_reply	string | null	Text of the business owner's response
owner_reply_date	string | null	Relative date of the business owner's reply
owner_reply_timestamp	integer | null	Exact owner reply Unix timestamp in milliseconds
owner_reply_datetime_utc	string | null	Exact owner reply ISO 8601 UTC timestamp
owner_reply_language	string | null	Detected language code of owner reply (e.g. "en")
error	string | null	Error details if applicable
timestamp	string	ISO 8601 scrape timestamp

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🎯 High-Value Use Cases

🔄 The Two-Step Pipeline: From Business Reviews to Full Reviewer Audit

Standard Google Maps tools only scrape reviews for a business. But what do you do when a suspicious 1-star review hits your listing, or when you want to study your top customers?

┌──────────────────────────────────────┐       ┌────────────────────────────────────────────────────────┐
│ Step 1: Business Review Export       │  ──>  │ Step 2: Reverse Reviewer Search (This Actor)           │
│ Scrape place reviews (author profile)│       │ Extract complete user history, guide level & patterns │
└──────────────────────────────────────┘       └────────────────────────────────────────────────────────┘

1. Step 1: Take any reviewer profile link (e.g., from an existing Google Maps review export or by clicking a reviewer's name on Google Maps: https://www.google.com/maps/contrib/102520373756565203865).
2. Step 2: Paste those contributor URLs directly into this Actor.
3. The Result: Instantly discover:
   • Is it a burner account? Did this reviewer create their account just to target your business, or do they have a 5-year history of legitimate reviews?
   • Coordinated Competitor Attacks: Did this user leave five 1-star reviews at competing restaurants in the same afternoon?
   • Cross-Brand Intelligence: Where else does this Local Guide eat, shop, or visit, and what specific feedback do they share?

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🛡️ Review Fraud Detection & Reputation Defense

Audit negative reviewers to verify account legitimacy before responding or filing removal disputes:

• Quickly differentiate between authentic Local Guides with hundreds of verified reviews and fake burner accounts created solely to leave negative reviews.
• Export exact microsecond timestamps and review permalinks for formal Google removal requests and evidence packets.

🌟 Local Influencer & Brand Ambassador Outreach

Identify high-tier Local Guides (Levels 6–10) in your city or industry:

• Inspect their review style, photo uploads, and place preferences.
• Discover trusted community food critics, photographers, and micro-influencers who actively shape local purchasing decisions.

🏢 Competitor Intelligence & Customer Journey Mapping

• Track where else your customers dine or shop in your area.
• Uncover how competing business owners handle customer complaints and owner replies.
• Gain deep insight into pricing sensitivity and meal preferences (spend_per_person, meal_type).

📈 Local SEO & Category Benchmarking

• Analyze review keywords used by authoritative Local Guides that trigger high rankings on Google Maps.
• Benchmark your service, food, and atmosphere scores against top competitors in your market.

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🔗 Supported Input Formats

Paste any of these formats and the Actor automatically resolves the canonical user profile:

1. Standard Contributor Profile URLs:
   https://www.google.com/maps/contrib/102520373756565203865

2. Tabbed Profile Links:
   https://www.google.com/maps/contrib/102520373756565203865/reviews
https://www.google.com/maps/contrib/102520373756565203865/photos

3. Extended URLs with Map Coordinates & Query Parameters:
   https://www.google.com/maps/contrib/102520373756565203865/reviews/@40.6925847,-74.1578387,11z/data=!4m3!8m2!3m1!1e1?hl=en-GB&entry=ttu&g_ep=EgoyMDI2MDkwOS4wIKXMDSoASAFQAw%3D%3D

4. Shortened Share Links:
   https://maps.app.goo.gl/...

5. Raw Numeric User IDs:
   102520373756565203865

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⚙️ Input Configuration

Parameter	Type	Required	Default	Description
contributors	array	Yes	None	List of Google Maps contributor URLs, tab links, extended coordinate links, shortlinks, or numeric User IDs.
maxReviews	integer	No	200	Maximum number of reviews to extract per profile (0 to 200). Extracts up to this limit or total public reviews available in a single high-speed call.
scrapeReviews	boolean	No	true	When enabled, extracts the detailed reviews array. If disabled, extracts profile stats only.
outputFormat	string	No	"flattened"	Choose "flattened" (1 row per review, perfect for Excel/CSV) or "nested" (1 document per profile with a complete reviews: [...] array).
language	string	No	"en"	Language code for Google Maps localized strings (e.g. "en", "es", "fr", "de").
country	string	No	"us"	Country code for localized place info and regional bias (e.g. "us", "gb", "fr", "de").
proxyConfiguration	object	No	{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}	Apify Residential Proxies are enabled by default to avoid rate limits and 403 blocks.
maxConcurrency	integer	No	3	Number of contributor profiles scraped concurrently (1 to 10).

---

Example Output Record (Single Row in Excel / JSON)

{
  "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"
}

---

🎯 Fair Pay-Per-Event (PPE) Billing

This Actor uses Apify's Pay-Per-Event (PPE) monetization model. You only pay for successful data extracted, with zero waste on idle server compute:

• Per Contributor Profile (profile event): Charged per contributor profile processed. Covers full profile identity, Local Guide badges, level, points, and lifetime contribution metrics (even if the profile has restricted/private contributions).
• Per Review Extracted (review event): Scales dynamically based on the exact number of detailed reviews successfully extracted.

Why Pay-Per-Event Saves You Money:

• No Wasted Compute: If a contributor only has 12 reviews, you are only charged for 12 reviews — not an arbitrary batch package.
• Private Profiles Protection: If a contributor profile is private or has 0 public reviews, you are only charged for the profile lookup.
• No Monthly Lock-in: Use it on-demand whenever you need it.

---

🚀 Quick Start & Integration

1. No-Code Web Console (Excel, CSV, or Google Sheets)

1. Paste Your Profiles: Paste any Google Maps contributor URLs, extended links, or numeric User IDs into the contributors box.
2. Choose Review Limit: Leave maxReviews at 200 to grab all recent reviews, or adjust as needed.
3. Click Start: Hit the green Start button and let the scraper run (typically 1–2 seconds per profile).
4. Export in 1 Click: Under the Export tab, click Excel or CSV to download your ready-to-use spreadsheet.

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2. Run via Python (apify-client)

from apify_client import ApifyClient

# Initialize the ApifyClient with your API token
client = ApifyClient("YOUR_APIFY_API_TOKEN")

# Prepare Actor input
run_input = {
    "contributors": [
        "https://www.google.com/maps/contrib/102520373756565203865",
        "116847444302916322211"
    ],
    "maxReviews": 200,
    "scrapeReviews": True,
    "outputFormat": "flattened",
    "proxyConfiguration": { "useApifyProxy": True }
}

# Run the Actor and wait for it to finish
run = client.actor("unitbytes/google-maps-contributor-scraper").call(run_input=run_input)

# Fetch and print results from the dataset
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"[{item.get('stars')}★] {item.get('place_name')} - by {item.get('contributor_name')} (Level {item.get('local_guide_level')})")
    print(f"Review: {item.get('review_text', '')[:60]}...")
    print(f"Permalink: {item.get('review_permalink')}\n")

---

3. Run via Node.js / JavaScript (apify-client)

import { ApifyClient } from "apify-client";

const client = new ApifyClient({
    token: "YOUR_APIFY_API_TOKEN",
});

const input = {
    contributors: [
        "https://www.google.com/maps/contrib/102520373756565203865",
        "116847444302916322211"
    ],
    maxReviews: 200,
    scrapeReviews: true,
    outputFormat: "flattened",
    proxyConfiguration: { useApifyProxy: true }
};

const run = await client.actor("unitbytes/google-maps-contributor-scraper").call(input);

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(item => {
    console.log(`[${item.stars}★] ${item.place_name} - by ${item.contributor_name} (Level ${item.local_guide_level})`);
    console.log(`Permalink: ${item.review_permalink}`);
});

---

4. 🔄 Automated Scheduled Monitoring & Watchlists

A single run tells you what a contributor has posted today. The true enterprise value comes from monitoring key contributors on an automated schedule—detecting coordinated review attacks, tracking competitor reviewers, or building a continuous database of active Local Guides.

Setting up an Apify Schedule (Zero-Code)

1. In Apify Console, navigate to your saved Task or this Actor.
2. Click Actions → Schedule Actor.
3. Choose your frequency or paste standard cron expressions:
   • 0 8 * * * — Runs Daily at 8:00 AM UTC to audit suspect accounts.
   • 0 */6 * * * — Runs Every 6 hours for rapid response brand surveillance.
   • 0 9 * * 1 — Runs Every Monday morning to refresh weekly influencer reports.

---

5. 🗄️ Database & Pipeline Sync (Python, Supabase & PostgreSQL)

Store historical contributor review trails across runs so you can diff changes over time. Bulk-insert flat rows into Supabase, PostgreSQL, or Google BigQuery with 10 lines of Python:

from apify_client import ApifyClient
from supabase import create_client

apify = ApifyClient("YOUR_APIFY_TOKEN")
supabase = create_client("YOUR_SUPABASE_URL", "YOUR_SUPABASE_KEY")

# Run scraper for watchlist of contributors
run = apify.actor("unitbytes/google-maps-contributor-scraper").call(
    run_input={"contributors": ["102520373756565203865"], "maxReviews": 20}
)

# Bulk-upsert into database table on review_id
rows = [item for item in apify.dataset(run["defaultDatasetId"]).iterate_items()]
supabase.table("google_contributor_reviews").upsert(rows, on_conflict="review_id").execute()
print(f"Successfully synced {len(rows)} reviews to Supabase!")

---

6. ⚡ Automated Workflows (Make, Zapier & Webhooks)

Connect this scraper directly into your existing automation stack:

• Instant Webhooks: Trigger notifications on ACTOR.RUN.SUCCEEDED to push finished reviews to your CRM, Slack, or webhook endpoints.
• No-Code Chains: Automatically run this scraper whenever an incoming 1-star review is detected on your Google Business Profile via Make.com or Zapier.

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📊 Why Choose UnitBytes Over Other Scrapers?

Feature / Metric	⚡ UnitBytes (This Actor)	⚠️ Other Scrapers & Legacy Tools
Performance & Speed	⚡ Ultra-Fast (<2s per profile) with instant start times	Heavy legacy tools (30–60s per profile, high crash rates)
Cost & Billing	🎯 Pay-Per-Event (zero wasted compute) — pay strictly for data found	Expensive hourly compute runtimes or forced monthly subscriptions
Data Completeness	💎 Complete: Microsecond timestamps, dining aspects, owner replies, photos	Basic review text only, fuzzy dates ("3 weeks ago"), omitted replies
Input Flexibility	🔗 Accepts URLs, raw IDs, subpaths, shortlinks, single strings, or arrays	Rigid formats that error on query params or array mismatches
Export Readiness	📊 100% Spreadsheet Ready: 1-click Excel (.xlsx) / CSV flat format + nested JSON	Raw uncleaned dumps or JSON-only formats requiring manual conversion
Anti-Blocking & Stability	🛡️ 100% Stability & Uptime: Built-in smart proxy rotation with zero crashes	Frequent IP blocks, rate limits, and freezes in older tools
Interruption Protection	🔄 Smart Checkpointing (no duplicate charges): Auto-resumes seamlessly	Lost progress and duplicate billing on server restarts

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⚡ Speed, Scalability & Zero-Waste Performance

• ⚡ Ultra-Fast Execution (<2s per profile): Extracts up to 200 reviews and full Local Guide statistics in under 2 seconds per profile with instant response times and zero timeouts.
• 🎯 Fair Pay-Per-Event Billing (Zero Wasted Compute): Pay strictly for data successfully extracted. No burning credits on empty profiles, idle server time, or expensive compute runtimes.
• 🛡️ 100% Stability & Reliability: Engineered for rock-solid stability with automatic anti-blocking and intelligent proxy rotation—zero timeouts, zero freezing, and zero crashes.
• 📊 Instant Spreadsheet Readiness: 1-click downloads in Microsoft Excel (.xlsx), Google Sheets, or CSV with clean, fully unnested columns ready for immediate analysis.
• 🔄 Smart Checkpointing & Resumption: Enterprise runs automatically save progress. In the event of platform restarts or network interruptions, the scraper resumes seamlessly without duplicate scraping or double charges.

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🔌 MCP Server Setup: Claude Code, Cursor & AI Agents

Connect this scraper directly to Claude Code, Claude Desktop, Cursor, or any MCP-compatible AI agent via the hosted Apify MCP server:

{
  "mcpServers": {
    "apify": {
      "type": "http",
      "url": "https://mcp.apify.com/?tools=actors,docs,unitbytes/google-maps-contributor-scraper"
    }
  }
}

No manual API token required in configuration if your client supports Apify OAuth sign-in. Alternatively, pass your Apify API Token in the authorization header.

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🤖 Ask an AI Assistant About This Scraper

Open a ready-to-run prompt about Google Maps Contributor & Local Guide Scraper in your favorite AI assistant:

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity

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🔗 Related Google Maps Scrapers & Ecosystem

This Actor is a core pillar of the UnitBytes Google Maps Intelligence & Reputation Suite. Build complete, end-to-end local auditing and reputation management pipelines by combining all three specialized actors:

⚡ UnitBytes · Google Maps & Local Business Reputation Ecosystem
🗺️ Contributor Profiles 📍 You are here Full review history & levels	🔍 Reviews Change Tracker Status & Takedowns Detect deleted & edited reviews	📸 Contributor Photos High-Res Media Original =s0 images & views

Complete Your Google Maps Toolkit:

• 🔍 Google Maps Reviews Tracker & Removal Checker (unitbytes/google-maps-reviews-tracker) — Audit specific review URLs, detect deleted or edited reviews, verify 1-star review removals, and generate 1-click Google dispute links.
• 📸 Google Maps Contributor Photos Scraper (unitbytes/google-maps-photos-scraper) — Download original high-resolution photos (=s0), verified view counts, audience reach, and geo-tagged venues from Google Local Guides.
• 🗺️ Google Maps Contributor & Local Guide Reviews Scraper (unitbytes/google-maps-contributor-scraper) (This Actor) — Export complete reviewer profile history, Local Guide levels, badges, ratings, and dining aspects into spreadsheets in under 2 seconds.

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❓ Frequently Asked Questions (FAQ)

Q: Do I need programming or coding skills to use this Actor?

Not at all! This tool is designed for non-technical users, business owners, agency marketers, and data teams alike. You can run everything directly in the Apify Console and download ready-to-open Excel (.xlsx) or CSV files with a single click.

Q: How many reviews can I extract per profile?

The Actor extracts up to your configured maxReviews (0 to 200, default is 200 for full historical exports) or the total number of public reviews available on the contributor profile in a single fast call. For contributors with fewer reviews than maxReviews, all available public reviews are extracted.

Q: Does it extract photos uploaded by contributors?

Yes! Every review object in the dataset includes the full photos: [...] list of high-resolution image URLs attached to that specific review, plus the contributor's avatar and total lifetime photos count (total_photos_count).

(If you need to scrape a contributor's complete standalone Google Maps photo portfolio — all uploaded photos, view counts, and photo locations — check out our dedicated sister tool: Google Maps Contributor Photos Scraper).

Q: What happens if a contributor has set their profile to private?

If a contributor has enabled privacy settings on Google Maps, Google does not make their reviews publicly visible. The Actor gracefully identifies this, returns status: "PRIVATE", marks is_private: true, and still extracts all publicly visible metadata (display name, avatar, Local Guide level, points, and contribution counts) with an empty reviews array.

Q: Does every review have a direct permalink?

Yes! Every review object includes a verified review_permalink that links directly to that specific review on Google Maps.

Q: What proxies should I use?

Apify Residential Proxies ({ "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }) are enabled by default. Residential proxies provide consistent speed, prevent Google rate-limiting, and avoid 429/403 blocks.

Q: Can I scrape only profile statistics without reviews?

Yes. Simply set "scrapeReviews": false in the input configuration. The Actor will extract only the profile metadata, Local Guide level, and contribution counts.

Q: How does this tool compare to the other Google Maps scrapers in the UnitBytes suite?

This tool specializes in reverse-auditing reviewer profiles and Local Guides (extracting their full review history, badge progression, and ratings into spreadsheets).

• 🔍 If you need to monitor specific review URLs for takedowns, edits, or disputes, use Google Maps Reviews Tracker & Removal Checker.
• 📸 If you need to download a contributor's full standalone photo portfolio at original camera resolution (=s0) with audience view counts, use Google Maps Contributor Photos Scraper.

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👨‍💻 Support, Bugs & Custom Enhancements

Actively maintained and supported. If Google updates contributor layouts, fixes and enhancements are deployed promptly within 24–48 hours.

• 📧 Direct Email Support: contact@unitbytes.com
• 🐛 Bug Reports & Issues: Apify Issues Tab
• 💡 Feature Requests & Custom Pipelines: Need custom fields, high-volume bulk scraping, or CRM integrations? Contact us at contact@unitbytes.com.

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💬 Enterprise Support & Custom Pipelines

Need custom web data feeds, high-frequency scheduled runs, private cluster deployments, or dedicated SLAs?

• 📧 Direct Email: contact@unitbytes.com
• 🌐 Enterprise Platform: https://unitbytes.com
• 💡 Data Engine Specs & Live Docs: https://unitbytes.com/actors/google-maps-contributor-scraper/