Google Maps Scraper

Google Maps Scraper for Local Business Data & Market Intelligence

Collect structured local business data by category, city, ZIP code, region or defined geographic market. KVETOIQ can help turn business listings into cleaner, filtered and decision-ready datasets for prospect research, market analysis, competitor intelligence and location strategy.

Request Sample Business Data → Book 30-Min Strategy Call

Share a business category + target location and we'll scope the dataset.

Business Listings Names, categories & locations

Qualification Filters Ratings, reviews & website status

Optional Enrichment Public web contact signals

CSV · JSON · API Structured delivery

Local Business Data

A Google Maps scraper is useful. A qualified business dataset is more useful.

A Google Maps scraper extracts structured information from publicly visible local business listings, such as business names, categories, addresses, websites, phone numbers, ratings, review counts, hours and location details.

But raw extraction is only the first step. Business teams often need filtering, duplicate handling, geographic normalization, qualification rules and optional enrichment before the data becomes useful for research, prospecting or market intelligence.

KVETOIQ combines managed web scraping services with data cleanup and structured delivery so your team can work with the output instead of maintaining scraping infrastructure.

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Define the business scope
Category, market, geography and qualification rules.

✓

Structure and clean records
Normalize fields and address duplicate or irrelevant records.

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Deliver analysis-ready data
CSV, JSON, API or downstream-ready formats.

Typical Input Category + Location

Core Data Name · Address · Phone · Website

Reputation Rating · Review Count

Location City · ZIP · Coordinates

Delivery CSV · JSON · API

Beyond Raw Extraction

Turn raw local listings into business-ready records

The real business value begins after extraction: cleaning, qualifying, segmenting and structuring the data around your specific use case.

Raw Business Listings

Collect publicly visible business names, categories, addresses, websites, phones, ratings, reviews and location fields.

Qualification & Cleanup

Apply category, geography, rating, review-count, website and business-status rules to reduce irrelevant records.

Decision-Ready Dataset

Receive structured local-business data for prospecting, market mapping, competitive research or internal analytics.

Business Use Cases

Google Maps business data for more than local lead generation

Use structured business-location data for research, competitive analysis, prospect discovery and market intelligence.

Local Business Prospecting

Build targeted business lists by category, geography, ratings, reviews, website presence and other project-supported filters.

Local Market Research

Analyze the number, category mix, reputation and geographic distribution of businesses across selected markets.

Competitor Location Intelligence

Track business locations, ratings, review volume and market presence for selected competitors.

Competitor Monitoring →

POI & Business Discovery

Build structured points-of-interest or business-location datasets for applications and research workflows.

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Reputation Analysis

Compare rating levels and review counts across locations, competitors and markets.

Expansion & Market Mapping

Understand business density, competitor presence and category coverage across potential expansion markets.

Real Estate & Local →

Google Maps Business Data

Business listing fields we can structure for your project

Available fields depend on the source context, publicly visible business information and the agreed collection scope.

Business Name

Public business or location name.

Primary Category

Main public business category.

Additional Categories

Supporting business-category labels where available.

Street Address

Public business address information.

City

Structured city or locality.

State / Region

Structured state or regional information.

ZIP / Postal Code

Postal location information where available.

Country

Country associated with the business location.

Phone Number

Public business telephone number where shown.

Website

Public business website URL where displayed.

Rating

Public rating value associated with the listing.

Review Count

Public total number of reviews.

Business Hours

Public operating hours where available.

Business Status

Public operational status where exposed.

Latitude

Geographic coordinate when available within scope.

Longitude

Geographic coordinate when available within scope.

Price Level

Public pricing indicator where exposed.

Source URL

Source or business-listing reference URL.

Captured At

Timestamp for recurring analysis.

Custom Fields

Additional source-supported fields based on project scope.

Need Custom Business Fields? →

Search to Dataset

Define the market. Filter the businesses. Receive structured data.

Instead of manually searching business-by-business, define the category, geography and qualification rules your team needs.

Step 01 Search Scope Dentists Austin, Texas Illustrative example

→

Step 02 Business Records Name Address Phone · Website

→

Step 03 Qualification Rating ≥ 4.0 Reviews ≥ 50 Website present

→

Step 04 Delivery CSV JSON API / recurring feed

Search criteria shown above are illustrative. Actual collection scope depends on your target category, locations, source availability and project requirements.

Business Qualification

Filter local businesses around the criteria your team actually cares about

Reduce manual cleanup by applying useful market and business qualification rules to the dataset.

Business Category

Dentists, restaurants, plumbers, HVAC, retailers, hotels, agencies and other categories.

Geography

Target cities, states, ZIP codes, regions or defined market lists.

Rating Range

Segment businesses using public rating values.

Review Volume

Filter by public review-count thresholds to identify different business maturity levels.

Website Presence

Separate businesses with or without publicly listed websites.

Phone Availability

Keep businesses with public phone information when required.

Business Status

Use source-supported status information when it is available.

Location Coverage

Compare business presence across multiple markets and territories.

Custom Qualification

Combine source fields with project-specific validation or enrichment logic.

Sample Output

See the business dataset structure before scaling collection

The example below illustrates a possible local-business dataset. All businesses and values are fictional and are not live Google Maps records.

Illustrative Local Business Dataset Example structure only

Business	Category	City	State	Rating	Reviews	Phone	Website	Status	Captured
Example Dental Group	Dentist	Austin	TX	4.7	186	Public	Yes	Open	2026-09-01
Sample Family Dental	Dentist	Austin	TX	4.3	92	Public	Yes	Open	2026-09-01
Illustrative Dental Care	Dentist	Austin	TX	3.9	61	Public	No	Open	2026-09-01

Request Sample Business Data →

Data Enrichment

Keep source data separate from optional business enrichment

Google Maps business records and external enrichment should not be treated as the same source. KVETOIQ can structure them as separate data layers.

Source Business Data

Google Maps / listing fields

Fields publicly visible in the approved business-listing context.

Business name

Public web enrichment

Additional public information may be collected from linked business websites or other approved sources.

Public business email where available

Contact-page URL

Public social profiles

Additional public phone information

Website/domain attributes

Additional qualification signals

Email addresses are not assumed to come from Google Maps. Email enrichment, when requested, should be treated as a separate public-web enrichment workflow.

Data Quality

Reduce duplicate, irrelevant and low-value business records

A useful local business dataset needs more than extraction. It needs validation rules that match the business objective.

01 Normalize Fields

Structure names, locations, categories and contact fields consistently.

02 Handle Duplicates

Flag or consolidate repeated records according to project-specific rules.

03 Apply Qualification

Filter records using geography, ratings, reviews, website or other supported signals.

04 Preserve Source Context

Keep source URLs, timestamps and relevant collection metadata for traceability.

Recurring Business Intelligence

Monitor how local business markets change over time

Recurring collection can help reveal changes in market presence, reputation and public business information.

New Business Signals Identify newly observed businesses within a monitored scope.

Rating Change Track movement in public ratings across observations.

Review Growth Measure changes in public review counts over time.

Status Change Track publicly exposed business-status changes where available.

Website Change Detect changes in public website presence within the dataset.

Category Movement Observe shifts in business-category coverage across markets.

Location Growth Track additional observed locations for selected businesses.

Captured At Preserve observation dates for historical analysis.

Local Market Intelligence

Understand where businesses, competitors and opportunities are concentrated

Local business data can support much more than prospect discovery. Aggregating records by geography can help research teams understand market density, competitor coverage, category distribution and potential expansion areas.

This makes Google Maps business data relevant to agencies, retailers, investors, franchise teams, market researchers and location-based data products.

Explore Real Estate & Local Data →

Market Coverage City · ZIP · State · Region

Business Density Category / Market Counts

Competitive Presence Locations / Brands / Categories

Reputation Ratings / Reviews

Historical Analysis Recurring Observations

Build vs Managed

You can run a scraper yourself. Or you can receive the dataset.

Open-source scripts, browser extensions and scraper platforms may suit one-off technical use cases. KVETOIQ is designed for teams that want managed collection and usable business data.

DIY Scraper

Build and maintain it internally

— Configure extraction logic

— Maintain source parsing

— Handle retries and source changes

— Clean and deduplicate data

— Build enrichment workflows

— QA every recurring run

Managed KVETOIQ Dataset

Define the business requirement

✓ Managed extraction workflow

✓ Structured field mapping

✓ Qualification rules

✓ Data cleanup & duplicate handling

✓ Optional enrichment

✓ Recurring delivery when required

Responsible Collection

Define the data source, intended use and collection scope before scaling

Google Maps and Google Maps Platform services have applicable terms and data-use restrictions. Project requirements should therefore be reviewed based on the source, intended use, fields, delivery model and relevant legal or contractual requirements.

Project Scoping Questions

✓ What business information is required?

✓ Which geographic markets are in scope?

✓ What is the intended business use?

✓ Is recurring collection required?

✓ Is enrichment required from other public sources?

✓ What storage or downstream use is planned?

Important Boundaries

— Do not assume all visible data may be reused without restriction

— Do not assume Google Maps terms are identical to third-party website terms

— Do not treat enriched email as Maps-native data

— Do not collect private personal information outside project scope

— Do not represent this page as legal advice

— Review applicable terms before production-scale use

Read: Is Web Scraping Legal? →

How It Works

From local-market requirements to structured business data

Start with the business question, not the scraper.

STEP 01

Define Search Scope

Share categories, cities, ZIP codes or target regions.

STEP 02

Select Fields

Define business, contact, reputation and location fields.

STEP 03

Set Qualification Rules

Define ratings, reviews, website or other supported filters.

STEP 04

QA & Normalize

Clean records, structure fields and apply duplicate-handling rules.

STEP 05

Deliver & Refresh

Receive the business data in the agreed format and schedule.

Read Web Scraping Best Practices →

Data Delivery

Local business data delivered in the format your team already uses

Choose structured delivery for analysts, sales operations, applications, databases or recurring internal workflows.

CSV / Excel

Business lists for analysis, research and operational workflows.

JSON

Developer-friendly structured business records.

API

Discuss recurring programmatic delivery where it fits the project.

Warehouse-Ready

Structured feeds for BI, analytics and internal data infrastructure.

Web Scraping API · Web Scraping vs API

Related Services

Build a broader location and business intelligence workflow

Connect local-business collection with Kvetoiq's scraping, extraction and competitive-intelligence capabilities.

Core Service Web Scraping Services Managed web data extraction for business use cases. Custom Data Custom Data Extraction Build datasets around your required fields and sources. API Web Scraping API Programmatic delivery for recurring data workflows. Competition Competitor Monitoring Track recurring competitive and location changes. Industry Real Estate & Local Location-focused data and market intelligence. Scale Large-Scale Web Scraping Plan recurring data collection at higher scale. Solutions Data Intelligence Solutions Explore Kvetoiq business-data solutions. Data Sources Explore All Data Sources Browse additional sources supported by Kvetoiq.

From Pilot to Production

Start with one category and market. Expand once the data proves useful.

A Google Maps business-data project does not need to begin with every category or city. Start with one business type, location or qualification model and validate the output structure first.

From there, the workflow can expand into more regions, additional business categories, public-web enrichment or recurring local-market monitoring.

For larger requirements, review our large-scale web scraping guide .

Start One category + market

Validate Fields + qualification logic

Clean Normalize + deduplicate

Expand More cities + categories

Scale Recurring business intelligence

FAQs

Google Maps Scraper FAQs

Common questions about local-business data, filtering, enrichment and managed delivery.

What is a Google Maps scraper?

A Google Maps scraper is a data collection workflow used to extract structured information from publicly visible local-business listings, such as business names, categories, addresses, websites, phone numbers, ratings, review counts, operating hours and location information. The resulting records may be used for local-market research, prospect discovery, competitive analysis and location intelligence, subject to the applicable source terms and project requirements.

What business data can be collected from Google Maps?

Depending on the source context and approved project scope, business records may include business name, category, address, city, state, ZIP code, public phone number, website, rating, review count, hours, business status, coordinates and source-reference information.

Can Google Maps data be filtered by city or business category?

Projects can be scoped around specific business categories, cities, ZIP codes, states or defined geographic markets. Additional filtering can also be applied using supported fields such as rating, review count, website presence and other project-specific criteria.

Can a Google Maps scraper collect business emails?

Email should not automatically be treated as a Google Maps source field. When email enrichment is required, KVETOIQ can scope a separate public-web enrichment workflow using approved sources such as the business website or public contact pages, where appropriate.

How do you remove duplicate Google Maps business records?

Duplicate-handling logic can use combinations of business name, address, phone, website, location identifiers and other available fields. The exact deduplication method should be defined according to whether separate branches, franchise locations or repeated listings need to remain distinct.

Can ratings and review counts be monitored over time?

Recurring collection can preserve public rating and review-count observations for selected businesses when those fields are available within the approved scope. Historical observations can then be used to identify rating or review-count changes.

Can Google Maps business data be delivered through an API?

Depending on project requirements, structured business data can be delivered in CSV, Excel, JSON or through an agreed API or downstream integration. See our Web Scraping API for broader programmatic delivery options.

How frequently can local business data be refreshed?

Refresh frequency depends on the number of locations, categories, fields and the intended business use. Projects may be one-time or recurring, subject to source constraints and the agreed collection scope.

Is Google Maps scraping allowed?

Google Maps and Google Maps Platform services have their own terms and data-use restrictions. Whether a specific collection or reuse model is appropriate depends on the source, fields, intended use, storage model, applicable terms and jurisdiction. Project requirements should be reviewed before production use. This page does not provide legal advice. You can also read our general guide on web scraping legality .

Start With Your Requirement

See your local business dataset before scaling collection

Share a business category, target location and the qualification fields your team needs. KVETOIQ can scope the data structure around your market-research or business-intelligence objective.

Request Sample Data → Book Strategy Call

Let's Talk

Tell us which businesses and locations you need to understand.

Share the category, geography, required fields, qualification rules and refresh frequency.

● Local business listing data

● Rating & review qualification

● Website & phone filtering

● Deduplication & data cleanup

● Optional public-web enrichment

Get Your Custom Dataset

Request sample business data

Send us one business category and target market so we can understand the structure you need.

Request Sample Data

Share your business category, target location and required fields.

Send Requirement →

Book a Strategy Call

Discuss geographic scope, qualification, enrichment and delivery.

Book 30 Minutes →

Need broader collection? Web Scraping Services · Custom Data Extraction

KVETOIQ is an independent data services provider and is not affiliated with, endorsed by, or sponsored by Google LLC. Google Maps and related trademarks belong to their respective owners. Data availability, permitted use and delivery scope depend on the applicable source terms, publicly accessible information, intended use and agreed project requirements. Nothing on this page constitutes legal advice.