Google Maps Data Extraction & Local Market Intelligence
Orzaen helps agencies, franchises, and sales teams collect, clean, segment, and score Google Maps business listings by city, category, reviews, ratings, website presence, and contact fields; delivered as CSV, Excel, reports, dashboards, or custom data pipelines.
A clean CSV with normalized fields, duplicate cleanup, and basic opportunity scoring.
| Business | City | website | Score | priority tier | opportunity reason |
|---|---|---|---|---|---|
Austin Smile Studio Dentist·4.7(186 reviews) | Austin - TX +1 512-555-0184 | Yes | 72 | Medium | Good rating with moderate review count |
Dallas Dental Care Dentist·4.5(241 reviews) | Dallas - TX +1 214-555-0138 | No | 88 | High | High reviews with no visible website |
Houston Family Dental Dentist·3.8(392 reviews) | Houston - TX +1 713-555-0116 | Yes | 81 | High | Low rating with high review volume |
Leads Delivered
Clients Served
Accuracy Rate
Avg. Delivery
Does this describe your current process?
You know who the big competitors are. You don't know how many of them sit within a 2-mile radius of every site you're evaluating.
Missing websites. Stale phone numbers. No categories. No geo-coordinates. Your sales team is calling ghosts.
Which neighborhood has demand but no supply? Which category is oversaturated, which is underserved? Without density data, you're guessing.
Someone on your team is copy-pasting from Maps into a spreadsheet right now. For the third time this quarter. We replace that entirely.
A competitor opens three new locations in your market. You find out six months later from a customer. By then it's too late.
You bought a scraping tool. It broke. You hired a freelancer. It broke. You need a partner who's done this 100+ times and maintains it.
Who this is for
This offer is useful when your team needs clean local business data, competitor visibility, market signals, and decision-ready records instead of manual Google Maps research.
Retail expansion teams
Site selection · trade-area analysis · competitor density
“Know exactly how many competitors sit within a 2-mile radius of every candidate site.”
Real estate investors
Neighborhood scoring · opening trends · local signals
“Identify which neighborhoods are heating up before the market fully catches on.”
Franchise developers
Territory planning · saturation scoring · gap analysis
“Find the blocks and metros where your franchise concept still has room to win.”
Local SEO & agencies
Competitor audits · prospect lists · citation research
“Build client strategies backed by real market density data, not guesswork.”
Market researchers
Category studies · brand share · review benchmarks
“Get structured local datasets that plug directly into your research models.”
B2B sales & lead gen
Verified prospects · local business targeting · outreach prep
“Stop cold-calling ghosts. Work from leads with phone, website, and operational signals.”
Start small
Start with a focused sample sprint for one category and a few cities before scaling into a full database.
What we build
We define the business category, cities, ZIP codes, service areas, and search terms before collection starts, so the data matches the market you actually want to study.
We collect public business listing details from your selected locations and categories, including names, categories, addresses, phones, websites, ratings, reviews, and listing URLs.
We clean messy fields, remove duplicates, normalize records, and organize businesses by city, category, market segment, or campaign use case.
We add simple signals that help your team spot useful opportunities, such as missing websites, weak listings, strong competitors, low ratings, and high-review businesses.
We score records based on your goal, such as outreach, local SEO, competitor research, territory planning, or market expansion.
For larger packages, we summarize the market so your team can compare cities, categories, competitor density, review gaps, and opportunity areas without reading every row manually.
Tools and data stack
Google Maps
Python
Selenium
Pandas
MongoDB
PostgreSQL
Excel
Google Sheets
Airtable
HubSpotExample data fields
Basic business listing fields that create the foundation of the local market database.
Related Case Studies
Developed a robust n8n workflow to scrape Google Maps for business listings across multiple cities, capture key details, and extract negative reviews into structured tables for CRM and outreach automation. Manual extraction of business listings and reviews from Google Maps was slow, inconsistent, and lacked structured output for further enrichment and outreach
Final scope depends on category, geography, source behavior, field availability, enrichment depth, and delivery format. Larger or recurring systems are quoted after the first dataset is validated.
Start here
Test data quality before committing to a larger local market build.
fixed price
Scope
Most popular
For SEO agencies, lead gen teams, and local sales operations that need a usable database.
fixed price
Scope
Monitoring
For teams that need to track openings, closures, rating changes, and market shifts continuously.
3-month minimum · cancel after
Monitoring includes
For enterprise teams that need large-scale coverage, enrichment, dashboards, CRM handoff, and controlled recurring delivery.
Enterprise build can include
Client Outcomes
Real Estate Agent Data Collection
Smooth and efficient process. Would be happy to work with Hira again.
Jun 26, 2026
Python Expert for Web Scrapping Project
Amazing to work with - Hira is a dream come true with building our automations.
Jul 29, 2026
Python web scraping learning project
Thank you for the task well done! I hope to work again and can recommend Ahmad. Very professional approach. He event noticed some faults of mine and thought me about better ways to do it.
May 7, 2024
FAQ
Still have questions? Share your category, cities, and target use case. We will help you choose the right package.
Automation Field Notes
Quick quote
