Google Maps Scraper — Location Scraping Method

This is an example of the review data you can extract — including review text, ratings, dates, and author information.

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This is a 1-row preview. You can download the full dataset with 100 free rows below.

Why Use Location-based Scraping?

The Google Maps Scraping method allows you to extract publicly available business data from a specific map view. You simply drag and zoom the map to define the desired area, and our scraper will collect all the visible locations automatically.

It's ideal for large-scale data collection across cities or entire regions — with no coding required.

Visual area selection with Google Maps interface

No radius or coordinates needed

Perfect for broad-market research and lead generation

Export in CSV, Excel, or JSON

Unlimited filtering by categories

How Google Map Scraping Works

Step 1

Pick Categories

Select business types such as cafes, gyms, hospitals, or hotels.

Step 2

Select Location

Choose a country and optionally narrow it down to specific regions, provinces.

Step 3

Launch Scraping

Our system collects, cleans, and formats your data automatically.

Step 4

Download Instantly

Export results in CSV, Excel, or JSON — perfect for analysis or automation.

Why Use Our Google Maps Scraping (Location)

Our Google Maps Scraping (Google Location) turns Google Maps results into a clean, structured table of contacts and attributes—ideal for lead generation, local SEO, sales, and geo‑analytics.

How this service helps

Modern, resilient scraping pipeline
Cloud‑scaled collection with smart retries and throttling delivers consistent results at city or country scale without manual babysitting.
High‑quality, deduplicated output
Normalized NAP (name, address, phone), validated URLs/phones, coordinates (lat/lng), Google profile link, rating, review count, and Place ID—ready for analytics and outreach.
Speed to insight
Go from idea to actionable dataset in minutes. Export CSV/XLSX/JSON and plug straight into Sheets, Excel, CRM, or BI—no custom scripts required.
Predictable budgets (pay‑per‑row)
Transparent pricing at $0.001 per row with no subscriptions: pay only for the data you actually receive.
Scalable by design
Launch batches across dozens of cities/countries with a single preset and re‑run the same configuration to refresh data on a schedule.
Sharper targeting & prioritization
Filter by rating thresholds, review volume, website/phone presence, and open‑now status to surface high‑intent leads first.
Easy integrations
Clean schemas and universal formats make it simple to enrich existing records and push into HubSpot, Salesforce, or your data warehouse.
Public‑data, compliance‑aware approach
We work with publicly available business profile information; you control downstream outreach in line with your local regulations.

Why choose Google Location with RRT

Full city/region coverage aligned to administrative boundaries—no polygons to draw, no radius edge gaps.
Cleaner, more relevant results vs. radius searches; less noise from neighboring areas.
Like‑for‑like comparability across locations thanks to consistent filters and repeatable presets.
One‑click scaling across multiple cities/countries with a unified, tidy dataset.
Easy to refresh the exact same scope later for trend tracking and performance benchmarking.
Predictable row counts per location simplify volume planning and cost control.

That’s why our service will be useful to you.

Use Cases & Industries

Our scraping tool is trusted by professionals across multiple industries to power insights, automation, and decisions.

Market Research

Analyze local businesses, competitors, and trends with real-time location data.

Geospatial Analytics

Plot POIs on maps for logistics, planning, and expansion strategies.

Local SEO & Lead Gen

Scrape target areas for contact data to boost campaigns or outreach.

B2B Sales Intelligence

Find and qualify business leads by category, location, and service area.

Franchise & Retail Planning

Explore underserved regions or locate potential partners and sites.

Consultants & Analysts

Offer insights or build custom data-driven tools for clients.

What You Can Do with Google Maps Business Data

Our Google Maps scraping service delivers structured business listings (POI data) for B2B lead generation, local SEO, enrichment, and analytics. Clean, deduplicated Google Maps business data is ready for CSV/Excel/JSON and plugs into any CRM or BI tool.

We capture complete Google Maps fields: Name; Category & Subcategories; Website and Phone; full address (Borough, Street, City, State, Country, Country_code, Postal_code) with Time_zone; Rating, total Reviews and a 1–5 review breakdown; Verified and Business_status; Business_hours and Price level; Owner_id/Owner_link; stable identifiers (Place_id, Place_link, Google_id); Description; Photos_count with Photo_link and Logo_link; Booking_appointment_link; Service_options; precise geolocation (Longitude, Latitude).

For hotels, we also include Star_hotel plus sub-ratings (Rating_rooms, Rating_location, Rating_service_and_facilities) with review counts — useful for hospitality benchmarking and location analysis.

B2B Lead Generation & Smarter Outreach

Build qualified prospect lists by Category/Subcategories and City/State/Country. Use Name, Website and Phone to contact the right decision-makers, while Verified and Business_status help you prioritize active businesses. Call in the right Time_zone and Business_hours, tailor messaging to Service_options, and deduplicate reliably with Place_id or Google_id before pushing records to your CRM.

Local SEO, Citations & On-page Content

Create accurate citations from Full_address down to Borough, Street and Postal_code. Mine Rating, total Reviews and the per-score split (1–5) to spot reputation issues and produce content that answers real customer concerns. Use Description, Photos_count, Photo_link and Logo_link to enrich landing pages, and Place_link/Place_info to track how each listing appears on Google.

Market Mapping & Territory Planning

Plot Longitude and Latitude to visualize supply density by neighborhood and borough, then compare with Price level and Business_status to find underserved zones. Filter by Country_code for cross-border views and use Subcategories to reveal micro-niches. This POI data shows exactly where to open a branch, launch a franchise or focus door-to-door campaigns.

Sales Intelligence & Account Prioritization

Combine Category/Subcategories with Rating and Reviews to rank accounts by trust and activity. Owner_id and Owner_link hint at the ownership structure for personalization, while Service_options and Booking_appointment_link reveal the service model and conversion paths. With Place_id/Google_id as stable keys, you can safely join this dataset with your ad, email or call logs.

Reputation Analytics & CX Playbooks

Go deeper than a single Rating: the per-score distribution shows where experience breaks (e.g., too many 1-star reviews). Track shifts after ops changes, benchmark competitors in the same City/State, and address patterns you see in Description and review text. Photos_count trends also reflect how active a business is in maintaining its profile.

Hospitality & Hotels: Competitive Benchmarking

For hotels we capture Star_hotel plus granular scores — Rating_rooms, Rating_location and Rating_service_and_facilities — with corresponding Reviews_* counts. Compare properties inside one City or across regions, link to Booking_appointment_link, and align pricing/amenities with Service_options to lift occupancy and reviews.

Data Enrichment, BI Dashboards & Exports

Use Place_id/Google_id as primary keys, Verified as a quality flag, and Full_address fields for clean geographies. Schedule outreach by Time_zone and Business_hours, render heatmaps from Longitude/Latitude, and export to CSV, Excel or JSON for your team. Because each row is normalized and deduped, this Google Maps data integrates cleanly with any analytics stack.

Compliance & Responsible Use

We provide publicly available business information in a structured format. Use it responsibly, respect platform terms and regional regulations, and honor opt-out requests in your outreach workflows.

Use our data in ways even we haven’t imagined — plug it into your workflows, mix with any tools, and turn hours into minutes. Save time and money with our service.

Pricing Calculator

No subscriptions. No plans. Pay only for what you use.

Affordable data extraction — just $0.001 per row!

Typical tasks:

20k Google Maps rows ≈ $20
100k YouTube comments ≈ $100
250k Reddit comments ≈ $250

Each row includes platform-specific fields — e.g. Maps (name, phone, website, address), YouTube (text, author, likes), Reddit (title/text, author, score), and so on.

Rows:

Price:

Estimated scraping time: a few seconds

Safe payments via Stripe

Why Choose Red Rock Tech?

Fast Delivery

Download your data instantly — no waiting or emails.

Accurate Geodata

Each row includes precise coordinates and full address.

Transparent Pricing

No subscriptions, pay only for the data you need.

Smart Filters

Narrow down results by city, category, or country.

Ready to Use

Export in CSV or JSON format, perfect for devs & analysts.

Verified Results

We clean and verify all data before delivery.

Frequently
Asked
Questions

We export Name, Category/Subcategories, Website, Phone, full address (Borough, Street, City, State, Country, Country_code, Postal_code), Time_zone, Rating, total Reviews with 1–5 breakdown, Verified, Business_status, Business_hours, Price level, Owner_id/Owner_link, Place_id/Place_link/Google_id, Description, Photos_count with Photo_link and Logo_link, Booking_appointment_link, Service_options, Longitude/Latitude. For hotels: Star_hotel, Rating_rooms, Rating_location, Rating_service_and_facilities with review counts.

Yes. Use country or region targeting, or define a polygon/radius on the map. We also support category filters to narrow results to specific business types.

No coding is required. You select the area and categories, we deliver structured POI data ready for use.

CSV, XLSX, and JSON. Data is normalized and deduplicated by stable identifiers (Place_id / Google_id).

Yes. You can build prospect lists (Website/Phone/Address), enrich CRM with Place_id, and create citation-ready address data for local SEO.

There is no subscription — you pay per row of clean, structured data. The final cost depends on the number of returned locations.

We provide publicly available business information. Use it responsibly and follow applicable terms and regional regulations.

Explore Other Scrapers

Google Maps Radius Scraper

Drop a pin and set a radius to extract nearby businesses (contacts, address, ratings, coordinates). Ideal for local targeting and door-to-door campaigns.

Google Maps Area Scraper

Select a polygon/area on the map and scrape all visible POIs with categories, phones, websites, and full addresses. Best for neighborhoods and multi-district coverage.

Google Maps Review Scraper

Export Google reviews with rating, text, date, author, and per-score stats for sentiment analysis and reputation tracking.

Ready to Get Started?

Launch your first scrape in seconds. No sign-up loops. No subscriptions. Just precise data — when you need it.