Fast Google Maps Business Profile Scraper API: Extract Complete Business Data, Contact Info & Operating Hours

The Google Maps Business Scraper is an Apify Actor that extracts comprehensive business profiles from Google Maps—including full descriptions, addresses, phone numbers, websites, star ratings, review counts, review score distributions, operating hours, business categories, GPS coordinates, service options, accessibility info, dining details, amenities, atmosphere tags, and payment methods. This google maps business profile scraper api collects 40+ structured data fields per business without requiring a Google Places API key.

Why this scraper instead of the Google Places API? The Google Places API charges separately for Place Details ($17/1,000 requests), requires API key setup with billing, and doesn't return review score distributions or detailed service attributes in a single call. This scraper delivers the complete business profile—including the full additionalInfo object with 15+ attribute categories—at $0.05 per single business or $0.016 per list query plus $0.0004/item.

Use this google maps business data extractor for competitor profiling, business database building, market research, or due diligence. Download Google Maps business profiles to JSON, CSV, or Excel for CRM enrichment, location analytics, and competitive benchmarking.

Pricing: $0.016/list query | $0.05/single item query | $0.0004/business profile | No Google API key required

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Table of Contents

1. What Does the Google Maps Business Scraper Do?
2. Features and Capabilities
3. Pricing
4. Input Parameters
5. Output Format and Data Fields
6. Custom Map Function
7. AI Agent Integration via MCP
8. Related Tools
9. Demo Mode and Free Testing
10. Automated Scheduling and Monitoring
11. Quick Start Guide
12. Use Cases and Industries
13. Troubleshooting
14. Frequently Asked Questions
15. Contact

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What Does the Google Maps Business Scraper Do?

Google Maps business profile extraction is the automated process of collecting detailed company information—contact details, operating hours, ratings, review distributions, service attributes, and location metadata—from individual Google Maps business listings. Unlike search scrapers that discover businesses by keyword, this tool extracts deep profiles from specific businesses you've already identified.

The Agents Google Maps Business Scraper is a high-performance data extraction tool built to scrape complete business profiles from Google Maps using direct URLs or place FIDs. Extract 40+ structured fields per business quickly and reliably—without needing the Google Places API, API keys, or complex authentication.

This tool serves as a practical alternative to the official Google Places API Place Details endpoint. The Places API charges $17 per 1,000 Place Details requests and requires multiple API calls to get the full picture—this Actor delivers the complete profile, including review distributions and detailed service attributes, in a single extraction.

What You Get From Every Business Profile

When you extract a Google Maps business profile, you receive:

Business Identity and Description

• Business name and full text description
• Primary category and all associated categories (e.g., "Mediterranean restaurant", "Caterer", "Kebab shop")
• Price range indicator (e.g., "$20–30")

Contact Information

• Website URL
• Phone number (formatted and unformatted)
• Plus Code (Google's location encoding)

Location and Address

• Full address, street, neighborhood, district, postal code, city
• GPS coordinates (latitude, longitude)
• Direct Google Maps URL

Ratings and Review Distribution

• Aggregate star rating (e.g., 4.7)
• Total review count
• Review score distribution (count of 1-star, 2-star, 3-star, 4-star, 5-star reviews)

Operating Hours

• Full weekly schedule with day-by-day hours

Additional Business Attributes (additionalInfo)

• Service options (dine-in, takeout, delivery, curbside pickup)
• Accessibility (wheelchair accessible entrance, restroom, seating)
• Offerings (alcohol, vegan options, halal food, healthy options, etc.)
• Dining options (breakfast, brunch, lunch, dinner, catering, table service)
• Amenities (Wi-Fi, restroom, gender-neutral restroom)
• Atmosphere (casual, cozy, etc.)
• Crowd suitability (groups, tourists)
• Planning (accepts reservations)
• Payment methods (credit cards, debit cards, NFC mobile payments)
• Children (good for kids, high chairs, kids' menu, changing tables)
• Parking (free street parking, paid street parking)
• Highlights (fast service, etc.)
• Popular for (lunch, dinner, solo dining)

Technical Identifiers

• Google Place ID, CID, FID
• Extraction timestamp (ISO 8601)

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Features and Capabilities

Input Flexibility

Input Type	Example	Best For
Direct URL	https://www.google.com/maps/place/...	Extracting from a specific Google Maps business page
Place FID	0x808587fdf883162f:0x7eb924725715409e	Batch processing with efficient identifier-based lookups

Core Features

• Deep Profile Extraction — 40+ fields per business including full description and service attributes
• Review Score Distribution — Breakdown of 1-star through 5-star review counts
• Additional Business Attributes — 15+ attribute categories (service options, accessibility, offerings, amenities, atmosphere, payments, parking, and more)
• Dual Input Methods — Target businesses by URL or FID for maximum flexibility
• Language Support — Extract business info in any language
• No API Key — No Google Places API key or OAuth setup required
• Multiple Export Formats — JSON, CSV, Excel direct download
• Custom Transformations — Reshape output with custom JavaScript map functions
• API Integration — RESTful API for Python, Node.js, or any HTTP client
• Scheduled Runs — Automate recurring extraction for profile monitoring

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Pricing

Event-Based Cost Structure

Pay only for what you scrape—no subscriptions, no hidden fees. This google maps business scraper uses transparent pay-per-event pricing:

Event Type	Price	Description
List Query	$0.016/query	For batch extractions from lists
Single Item Query	$0.05/query	For individual business lookups
Dataset Item	$0.0004/profile	Each business profile in results

Cost Comparison: This Scraper vs. Google Places API

Feature	This Scraper	Google Places API
Cost per 1,000 profiles	~$0.40 (items) + query fee	$17.00 (Place Details)
Review distribution	Included (1–5 star breakdown)	Not available
Service attributes	15+ categories included	Requires separate calls
API key required	No	Yes (with billing)
Full description text	Included	Requires separate call
Operating hours	Included	Requires Place Details call ($)

Example: Extracting 1,000 complete business profiles with a list query costs approximately $0.42 with this scraper vs. $17.00 with Google Places API Place Details—a 97.5% cost reduction.

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Input Parameters

Field	Type	Description	Default
startUrls	array	Direct Google Maps business URLs from which to extract detailed information	[]
placeFIDs	array	Google Maps place FIDs to scrape (alternative to URLs)	[]
language	string	Language code for business information (e.g., en for English)	en
maxItems	number	Maximum number of business profiles to extract	Infinity
customMapFunction	string	JavaScript function to transform each business object (transformation only, not filtering)	null

Input Examples

Single Business — By URL:

{
    "startUrls": ["https://www.google.com/maps/place/Presidio+Kebab+Mediterranean+Restaurant"],
    "language": "en"
}

Batch Processing — By FID:

{
    "placeFIDs": [
        "0x808587fdf883162f:0x7eb924725715409e",
        "0x89c25a1b1e437c51:0x4b3e15b60c84b8e5"
    ],
    "language": "en",
    "maxItems": 100
}

Multi-Language — International Market Research:

{
    "startUrls": ["https://www.google.com/maps/place/..."],
    "language": "de"
}

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Output Format and Data Fields

Each extracted business profile is a structured JSON object containing 40+ fields. Here is a trimmed sample:

{
  "type": "place",
  "url": "https://www.google.com/maps/preview/place/Presidio+Kebab+Mediterranean+Restaurant...",
  "title": "Presidio Kebab Mediterranean Restaurant",
  "description": "Welcome to Presidio Kebab Mediterranean Restaurant in Presidio Heights...",
  "address": "Presidio Kebab Mediterranean Restaurant, 3277 Sacramento St, San Francisco, CA 94115",
  "neighborhood": "Presidio Heights",
  "street": "3277 Sacramento St",
  "district": "San Francisco",
  "postalCode": "94115",
  "city": "California",
  "location": { "lat": 37.788157554101765, "lng": -122.44965044944632 },
  "website": "https://www.presidiokebabsf.com/",
  "phone": "(415) 947-7163",
  "phoneUnformatted": "+14159477163",
  "plusCode": "QHQ3+67 Presidio Heights, San Francisco, CA",
  "price": "$20–30",
  "totalScore": 4.7,
  "placeId": "ChIJLxaD-P2HhYARnkAVV3IkuX4",
  "cid": "9131369792976273566",
  "fid": "0x808587fdf883162f:0x7eb924725715409e",
  "scrapedAt": "2025-06-12T23:29:59.859Z",
  "reviewsCount": 537,
  "reviewsDistribution": {
    "oneStar": 11, "twoStar": 8, "threeStar": 14, "fourStar": 47, "fiveStar": 457
  },
  "categories": ["Mediterranean restaurant", "Caterer", "Greek restaurant", "Kebab shop", "Restaurant"],
  "categoryName": "Mediterranean restaurant",
  "openingHours": [
    { "day": "Monday", "hours": "11 AM–8:30 PM" },
    { "day": "Tuesday", "hours": "11 AM–9 PM" }
  ],
  "additionalInfo": {
    "Service options": { "Dine-in": true, "Takeout": true, "Delivery": true },
    "Accessibility": { "Wheelchair accessible entrance": true },
    "Offerings": { "Halal food": true, "Vegan options": true, "Vegetarian options": true },
    "Payments": { "Credit cards": true, "NFC mobile payments": true },
    "Children": { "Good for kids": true, "High chairs": true }
  }
}

Complete Field Reference

Field	Type	Description
type	string	Entry type (always "place")
url	string	Direct Google Maps URL
title	string	Business name
description	string	Full business description text
address	string	Full formatted address
neighborhood	string	Neighborhood or district name
street	string	Street address
district	string	District/city area
postalCode	string	Postal/ZIP code
city	string	City or state name
location	object	GPS coordinates (lat, lng)
website	string	Business website URL
phone	string	Formatted phone number
phoneUnformatted	string	Phone number in E.164 format
plusCode	string	Google Plus Code for the location
price	string	Price range indicator (e.g., "$20–30")
totalScore	number	Aggregate star rating (1.0–5.0)
placeId	string	Google Place ID
cid	string	Google CID identifier
fid	string	Google FID identifier
scrapedAt	string	ISO 8601 extraction timestamp
reviewsCount	number	Total number of Google reviews
reviewsDistribution	object	Count of 1-star, 2-star, 3-star, 4-star, 5-star reviews
categories	array	All business category tags
categoryName	string	Primary business category
openingHours	array	Day-by-day operating schedule
additionalInfo	object	15+ attribute categories (service options, accessibility, offerings, dining, amenities, atmosphere, crowd, planning, payments, children, parking, highlights, popular for)

Data Fields by Use Case

Use Case	Key Fields
Competitor Profiling	title, totalScore, reviewsCount, reviewsDistribution, categories, price
CRM Enrichment	title, phone, phoneUnformatted, website, address, categories
Due Diligence	description, totalScore, reviewsDistribution, openingHours, additionalInfo
Location Intelligence	location, neighborhood, district, postalCode, categories
Accessibility Auditing	additionalInfo.Accessibility, additionalInfo.Children, additionalInfo.Parking
Market Research	categories, price, totalScore, reviewsCount, additionalInfo.Service options

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Custom Map Function

Transform each business profile before it's saved to the dataset. The customMapFunction parameter accepts a JavaScript function that reshapes every business object. Use this to extract specific fields, rename properties, or compute derived values.

Important: The custom map function is for transformation only, not filtering. Every business will still be saved—you're changing its shape, not deciding whether to include it.

Example: Flatten for CRM Import

(business) => ({
    companyName: business.title,
    phone: business.phoneUnformatted,
    website: business.website,
    address: business.address,
    city: business.district,
    postalCode: business.postalCode,
    rating: business.totalScore,
    reviewCount: business.reviewsCount,
    category: business.categoryName,
    priceRange: business.price
})

Example: Extract Review Health Score

(business) => ({
    name: business.title,
    rating: business.totalScore,
    totalReviews: business.reviewsCount,
    fiveStarPercent: business.reviewsDistribution
        ? Math.round((business.reviewsDistribution.fiveStar / business.reviewsCount) * 100)
        : null,
    oneStarPercent: business.reviewsDistribution
        ? Math.round((business.reviewsDistribution.oneStar / business.reviewsCount) * 100)
        : null,
    categories: business.categories?.join(", ")
})

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AI Agent Integration via MCP

Apify provides a hosted Model Context Protocol (MCP) server at mcp.apify.com that allows AI agents and LLM-based applications to discover and run Apify Actors as tools—including this Google Maps Business Scraper.

What This Means

If you're building AI agents using Claude Desktop, VS Code with MCP support, or any framework that implements the MCP specification, you can give your agent the ability to extract detailed Google Maps business profiles autonomously. The agent can call this scraper as a tool, receive structured JSON results, and use them in downstream reasoning.

How to Connect

Add this scraper to your MCP client configuration:

https://mcp.apify.com?tools=agents/google-maps-business

Or use the CLI for local development:

$npx @apify/actors-mcp-server --tools agents/google-maps-business

Use Cases for AI Agent Integration

• Automated due diligence — An AI agent receives a list of business URLs, extracts full profiles, and generates a comparative analysis report with review health scores and service attribute summaries.
• CRM enrichment pipelines — Feed business FIDs into the scraper, then have the agent format and push contact data, categories, and ratings directly into your CRM.
• Multi-step research workflows — Combine this scraper with the Google Maps Search Scraper in a single agent pipeline: first discover businesses by keyword, then extract their full profiles.

For full setup instructions, see the Apify MCP documentation.

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Related Tools

Agents Data Intelligence Suite

All tools below are built and maintained by Agents—a team of ex-Big Tech engineers, former ad agency strategists, and data specialists delivering intelligence, precision, and impact at scale.

Tool	What It Extracts	Best For
Google Maps Business Scraper	Full business profiles, contact, attributes, review distribution	Deep profiling, due diligence (You are here)
Google Maps Search Scraper	Business listings from keyword searches	Lead generation, discovery
Google Maps Reviews Scraper	Reviews, ratings, reviewer profiles, location data	Sentiment analysis, reputation monitoring
Google Play Reviews Scraper	App reviews, ratings, developer replies	App intelligence
Trustpilot Reviews Scraper	Reviews, TrustScores, company replies	SaaS/B2B analysis
Yelp Reviews Scraper	Reviews, ratings, reviewer profiles	Restaurant/hospitality
Yelp Business Scraper	Business profiles, ratings, contact	Business data, prospecting
TripAdvisor Reviews Scraper	Hotel/restaurant reviews, ratings	Hospitality intelligence

Google Maps Business Scraper vs. Google Maps Search Scraper

Feature	Business Scraper (This Tool)	Search Scraper
Input	Specific URLs or FIDs	Keyword searches
Use case	Deep profiling of known businesses	Discovering businesses by category/location
Fields per business	40+ (including additionalInfo)	20+
Review distribution	Yes (1–5 star breakdown)	No
Full description	Yes	No
Service attributes	15+ categories	No
Best workflow	Use after Search to enrich results	Use first to discover businesses

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Demo Mode and Free Testing

You can test this google maps business scraper on Apify's Free plan. Validate the output format, data quality, and field coverage before scaling to larger batch runs.

How to Test:

• Run the scraper with a single business URL to see the full output structure
• Verify the additionalInfo object contains the attribute categories you need
• Test language switching to confirm multilingual support
• Try the customMapFunction with a sample transformation

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Automated Scheduling and Monitoring

Business profiles change over time—hours update, ratings shift, new reviews appear, and service offerings evolve. For accurate business intelligence, set up automated recurring runs to keep your data current.

Why Schedule Profile Extraction?

• Rating monitoring — Track how business ratings and review distributions change over time
• Competitor surveillance — Detect when competitors update hours, add services, or change pricing
• Data freshness — Ensure your business database always reflects the latest information
• Profile change alerts — Combine with webhooks to trigger notifications when key fields change
• Agency reporting — Automated data for client competitive intelligence dashboards

How to Set Up Scheduled Runs

1. Open the Actor in Apify Console
2. Configure your input parameters (startUrls or placeFIDs, language)
3. Click Schedule and set frequency (daily, weekly, monthly)
4. Optionally add a webhook to push new data to your pipeline

Webhook Integration

Combine scheduled runs with webhooks to build fully automated monitoring:

Scheduled Run → Profiles Extracted → Webhook fires → Your system receives data

Use webhooks to trigger:

• Database updates with refreshed business data
• Slack alerts when a competitor's rating drops or rises
• CRM syncs with updated contact information
• Dashboard refreshes for market intelligence reports

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Quick Start Guide

For Non-Technical Users (Apify Console)

1. Go to Google Maps Business Scraper on Apify
2. Click Try for free
3. Paste a Google Maps business URL into the startUrls field
4. Click Start and wait for results
5. Export Google Maps business data to CSV from the Storage tab

For Developers (Python API)

from apify_client import ApifyClient
client = ApifyClient("YOUR_TOKEN")
run = client.actor("agents/google-maps-business").call(run_input={
    "startUrls": ["https://www.google.com/maps/place/Presidio+Kebab+Mediterranean+Restaurant"],
    "language": "en"
})
items = client.dataset(run["defaultDatasetId"]).list_items().items

For Business Intelligence Teams (Batch FID Processing)

{
    "placeFIDs": [
        "0x808587fdf883162f:0x7eb924725715409e",
        "0x89c25a1b1e437c51:0x4b3e15b60c84b8e5",
        "0x80dcab3949a7c3f3:0x6a2e50b2c0a3e8d1"
    ],
    "language": "en",
    "maxItems": 50
}

Use FIDs for batch processing—they're more efficient than URLs for large-scale operations. Combine with the Google Maps Search Scraper to first discover business FIDs, then extract full profiles here.

For Competitor Analysis (Custom Map for Review Health)

{
    "startUrls": ["https://www.google.com/maps/place/..."],
    "customMapFunction": "(b) => ({ name: b.title, rating: b.totalScore, reviews: b.reviewsCount, fiveStarPct: b.reviewsDistribution ? Math.round((b.reviewsDistribution.fiveStar / b.reviewsCount) * 100) : null, oneStarPct: b.reviewsDistribution ? Math.round((b.reviewsDistribution.oneStar / b.reviewsCount) * 100) : null, category: b.categoryName })"
}

Calculate review health percentages inline with the custom map function. Export to CSV for side-by-side competitor comparison.

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Use Cases and Industries

Competitor Profiling and Benchmarking

Extract complete profiles for competitors in your market. Compare ratings, review distributions, service offerings, price levels, and operating hours. The reviewsDistribution field reveals the shape of a business's reputation—not just the average score. A 4.5-star rating backed by 85% five-star reviews tells a different story than 4.5 stars with evenly distributed ratings.

Key fields: totalScore, reviewsDistribution, categories, price, additionalInfo

CRM Enrichment and Lead Qualification

Enrich your CRM with verified business contact data—formatted and unformatted phone numbers, website URLs, full addresses, and business categories. Use the additionalInfo object to qualify leads: does the business accept reservations? Do they offer catering? Are they wheelchair accessible? These signals help sales teams prioritize outreach.

Key fields: phone, phoneUnformatted, website, address, categories, additionalInfo

Business Database and Directory Building

Build comprehensive local business databases with deep profile data that goes far beyond basic listings. Each profile includes the full business description, 15+ attribute categories, review distributions, and day-by-day operating hours—data that typically requires manual research to compile.

Key fields: title, description, address, categories, openingHours, additionalInfo

Due Diligence and Investment Research

Evaluate businesses for acquisition, investment, or partnership using structured data. Review distributions reveal reputation health, operating hours confirm active status, and the additionalInfo object shows service sophistication. Combine with the Google Maps Reviews Scraper for full review text analysis.

Key fields: totalScore, reviewsCount, reviewsDistribution, description, openingHours, additionalInfo

Accessibility and Compliance Auditing

Audit businesses for accessibility compliance using the structured additionalInfo.Accessibility field. Identify which businesses offer wheelchair accessible entrances, restrooms, and seating. Extend to parking availability, children's facilities, and payment method support.

Key fields: additionalInfo.Accessibility, additionalInfo.Children, additionalInfo.Parking, additionalInfo.Payments

Real Estate and Location Analysis

Research the commercial ecosystem around properties or neighborhoods. Extract full profiles for all businesses in an area to assess business mix quality, dining options, service variety, and amenity coverage. GPS coordinates enable direct integration with GIS platforms.

Key fields: location, neighborhood, district, postalCode, categories, totalScore, additionalInfo

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Troubleshooting

Common Issues and Solutions

Issue	Cause	Solution
Incomplete additionalInfo	Business hasn't provided all attributes	Not all businesses fill out every attribute category on Google Maps—the scraper captures everything that's available
Missing description	Business hasn't written a description	The description field will be empty for businesses that haven't added one to their Google profile
Missing phone/website	Business hasn't listed contact info	Some businesses don't provide phone numbers or websites on Google Maps—this is expected
FID not found	Invalid or outdated FID	Verify the FID is correct and the business still exists on Google Maps
Language not applied	Unsupported language code	Use standard language codes (e.g., en, de, fr, ja). Not all business content is available in every language

Performance Tips

• Use FIDs for batch processing — FIDs are more efficient than URLs for large-scale operations
• Start with a single URL — Test with one business to verify output format before scaling
• Check data availability — Some fields depend on what the business has provided to Google
• Language matching — Set the language to match your target market for localized content
• Combine with Search — Use the Google Maps Search Scraper to discover businesses first, then extract full profiles here

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Frequently Asked Questions

What data can I extract from a Google Maps business profile?

Extract business name, full description, address (street, neighborhood, district, postal code, city), phone number (formatted and E.164), website, GPS coordinates, star rating, review count, review score distribution (1–5 star breakdown), business categories, opening hours, price range, Google Place ID/CID/FID, and a comprehensive additionalInfo object covering service options, accessibility, offerings, dining, amenities, atmosphere, crowd, planning, payments, children's facilities, and parking—all in structured JSON or CSV.

What is the additionalInfo object?

The additionalInfo field is a structured object containing 15+ attribute categories that Google Maps collects for businesses. It includes: Service options (dine-in, takeout, delivery), Accessibility (wheelchair access), Offerings (halal, vegan, alcohol), Dining options (breakfast, brunch, catering), Amenities (Wi-Fi, restroom), Atmosphere (casual, cozy), Crowd (groups, tourists), Planning (reservations), Payments (credit cards, NFC), Children (kids menu, high chairs), Parking (free/paid street), and more. Available attributes vary by business type.

What is the difference between this and the Google Maps Search Scraper?

The Search Scraper discovers businesses by keyword (e.g., "restaurants in Chicago") and returns 20+ fields per listing. This Business Scraper extracts deep profiles from specific businesses you've already identified (via URL or FID) and returns 40+ fields including the full description, review distributions, and 15+ attribute categories. Use Search first to discover businesses, then Business to get full profiles.

Can I export Google Maps business data to CSV?

Yes. Download Google Maps business profiles directly from Apify Console in JSON, CSV, or Excel format. This is ideal for CRM import, spreadsheet analysis, database loading, and business intelligence dashboards.

What is a Place FID and where do I find it?

A FID (Feature ID) is Google Maps' internal identifier for a place, formatted as two hex values separated by a colon (e.g., 0x808587fdf883162f:0x7eb924725715409e). You can find FIDs in Google Maps URLs or extract them using the Google Maps Search Scraper. FIDs are more efficient than URLs for batch processing.

Does this extract individual reviews?

No. This scraper extracts the business profile including the aggregate review data (total count and 1–5 star distribution). For individual review text, use the Google Maps Reviews Scraper.

Can I use Python to extract Google Maps business data?

Yes. Full Python support via the Apify Client library. See the Quick Start Guide above for Python integration with client.actor("agents/google-maps-business").

Can AI agents use this scraper?

Yes. Through Apify's Model Context Protocol (MCP) server, AI agents built with Claude Desktop, VS Code, or any MCP-compatible framework can call this scraper as a tool. This enables automated due diligence, CRM enrichment, and multi-step research pipelines. See the AI Agent Integration via MCP section for setup details.

Can I get business data in different languages?

Yes. Set the language parameter to any supported language code (e.g., en, de, fr, ja, es). The business name, description, and category labels will be returned in the specified language where available.

How is this different from the Google Places API?

The Google Places API Place Details endpoint charges $17 per 1,000 requests, requires an API key with billing, and doesn't return review score distributions or the full additionalInfo attribute set in a single call. This scraper delivers the complete profile at ~$0.42 per 1,000 businesses (list query + items) with no API key—a 97.5% cost reduction.

This Scraper vs. Google Places API

Feature	This Scraper	Google Places API
API Key Required	No	Yes (with billing)
Cost per 1,000 profiles	~$0.42	$17.00 (Place Details)
Review distribution	Included (1–5 star breakdown)	Not available
Service attributes	15+ categories	Requires separate calls
Full description	Included	Requires separate call
Operating hours	Included	Requires Place Details ($)
MCP Integration	Yes (via Apify MCP server)	No

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Contact

Built by Agents — Where others search, we uncover. Our team of ex-Big Tech engineers, growth hackers, and data specialists builds high-performance scraping tools engineered for speed, precision, and reliability.

For questions or further assistance:

• Email: Reach out at whoaretheagents@gmail.com
• Discord: Join our community to connect with our support team

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Ready to start extracting complete Google Maps business profiles? With transparent event-based pricing, 40+ data fields per business, and no API key required, this Google Maps Business Scraper API by Agents is the definitive tool for competitor profiling, CRM enrichment, due diligence, and business intelligence. Start scraping today.