Clinic Google Maps Scraper for Local SEO

Scrape dentists, med spas, dermatologists, and chiropractors from Google Maps into clean, city-by-city clinic datasets for local SEO, pSEO pages, clinic directories, and agency delivery.

Published by ebuilderz infotech
Primary developer: Naman Modi

What This Actor Is Best For

• local SEO agencies working on healthcare and clinic campaigns
• pSEO teams building city and specialty landing pages
• clinic directory builders
• healthcare marketing teams
• agency workflows that need clean spreadsheet-ready exports

Quick Start

1. Choose one clinic specialty such as dentist or med spa.
2. Enter one city or target local market.
3. Start with a small run to validate quality, then scale up.

This is the fastest way to get a clean clinic dataset without manually exporting Google Maps results.

What To Expect On Your First Run

• best experience: one specialty plus one city
• recommended starter run: 10 results
• common starter runtime: a few minutes, depending on Google Maps response speed and how many detail pages are opened
• best for: validating whether a city and specialty combination matches your workflow before scaling up

If you are evaluating the Actor for the first time, run a small city-level sample first and review the first rows before increasing the result cap.

Why Choose This Instead Of A Generic Maps Scraper

Most Google Maps scrapers are built for breadth.

This Actor is built for clinic-focused usability.

You get:

• support for four clear clinic verticals
• cleaner specialty grouping with specialty_group
• import-ready business and location fields
• city-by-city workflow that fits local SEO execution
• better downstream usability for directories, sheets, databases, and internal scoring workflows

Who This Actor Is For

• local SEO agencies building city-level clinic datasets
• pSEO teams creating specialty plus city landing page inputs
• clinic directory builders who need cleaner healthcare-focused exports
• healthcare outreach and research teams who prefer structured clinic records over broad business dumps

Who This Actor Is Not For

• broad cross-industry business scraping
• national all-category business discovery
• workflows that only need raw Google Maps URLs without structured clinic fields

Supported Clinic Verticals

• dentists
• med spas
• dermatologists
• chiropractors

Common Use Cases

• build city-level clinic landing page datasets
• create pSEO datasets for specialty plus city combinations
• export cleaner clinic records for outreach and research
• compare clinic density, ratings, and review volume by city
• prepare structured rows for internal clinic scoring or enrichment workflows

Why Buyers Usually Pick This Actor

• it is easier to validate than a broad mixed-business scrape
• it maps more directly to city-page and directory workflows
• the output is easier to hand off to clients or internal teams
• it reduces cleanup work before import into sheets, databases, or scoring tools

What You Get In Each Result

Typical output includes:

• business_name
• primary_category
• specialty_group
• address
• city
• state
• zip_code
• country
• phone
• website
• google_maps_url
• place_id
• latitude
• longitude
• rating
• review_count
• business_status
• booking_link
• search_term
• search_location
• scraped_at

Output Quality Expectations

This Actor is optimized to return cleaner clinic-focused rows than a broad mixed-business scrape.

In practice, that means:

• stronger fit for dentists, med spas, dermatologists, and chiropractors
• fewer irrelevant business types for those supported clinic workflows
• structured fields that are easier to review in spreadsheets and databases
• better city-by-city validation before larger collection waves

Recommended Workflow

For the cleanest output, run one specialty per city.

Good examples:

• dentist in Beverly Hills, California, USA
• med spa in Santa Monica, California, USA
• dermatologist in Pasadena, California, USA
• chiropractor in Glendale, California, USA

This produces cleaner local-intent datasets than broad mixed runs.

Example Input

{
  "searchStringsArray": ["dentist"],
  "locationQuery": "Beverly Hills, California, USA",
  "maxCrawledPlacesPerSearch": 10,
  "language": "en",
  "skipClosedPlaces": true,
  "scrapePlaceDetailPage": true
}

Example Output Row

{
  "business_name": "Beverly Hills Dentist",
  "primary_category": "Cosmetic dentist",
  "specialty_group": "dentist",
  "address": "300 S Beverly Dr Suite 303, Beverly Hills, CA 90212",
  "city": "Beverly Hills",
  "state": "California",
  "zip_code": "90212",
  "country": "USA",
  "phone": "(310) 277-8215",
  "website": "https://beverlyhillsdentist.com/",
  "place_id": "0x80c2bbfc82963809:0x5fb38c2b6f113647",
  "latitude": 34.061977,
  "longitude": -118.398825,
  "rating": 4.9,
  "review_count": 160,
  "business_status": "OPERATIONAL",
  "search_term": "dentist",
  "search_location": "Beverly Hills, California, USA"
}

How Pricing Works

This Actor uses event-based pricing.

In simple terms, you pay for the number of clinic results returned, making it easier to start with small validation runs before scaling to larger city-by-city collections.

Pricing Examples

At the current Store pricing, the most predictable way to estimate cost is by the number of clinic rows returned.

• small validation run: around 10 results
• medium city run: around 25 to 50 results
• larger city collection: around 100+ results

Because pricing is result-based, small test runs are a practical way to validate quality before spending on larger collections.

Actual cost depends on how many rows are returned and on the live Store pricing shown on the Actor page.

Tips For Better Results

• start with one city and one specialty
• keep skipClosedPlaces enabled unless you need closed listings
• use smaller starter runs to validate output before scaling
• use city-level locations instead of wide regions for local SEO workflows
• keep scrapePlaceDetailPage enabled when you want richer business fields

Recommended Starter Searches

• dentist in Beverly Hills, California, USA
• med spa in Santa Monica, California, USA
• dermatologist in Pasadena, California, USA
• chiropractor in Glendale, California, USA

Why This Format Converts Better For Real Work

• easier to review than a raw mixed-niche export
• easier to import into sheets and internal tools
• easier to segment by specialty and city
• easier to use for local SEO planning and clinic directories

Notes

• This Actor is intentionally optimized for clinic data workflows rather than all business categories.
• For broad cross-industry research, a generic Google Maps scraper may be a better fit.
• For clinic-focused collection, this Actor is designed to be faster to validate and easier to use downstream.

FAQ

Is this a generic Google Maps scraper?

No. It is intentionally positioned for clinic-focused data workflows, especially local SEO, pSEO, clinic directories, and agency delivery.

Which searches work best?

Single specialty plus single city runs work best. This usually produces cleaner local-intent output and is easier to scale city by city.

Can I use this outside the supported clinic verticals?

You can test it, but the best experience comes from dentists, med spas, dermatologists, and chiropractors.

What should I do before a large run?

Start with a small validation run, review the first output rows, and then increase the result cap once the city and specialty look right.

Troubleshooting

I got fewer results than expected

• try a more specific city query instead of a broad region
• keep the run focused on one specialty
• increase maxCrawledPlacesPerSearch after validating the first sample

The results feel too broad

• use one specialty only
• use a clearer city-level location query
• keep the workflow within the supported clinic verticals

I only need a quick validation run

Use 10 results first. This is the fastest way to confirm relevance before scaling up.

I need richer business fields

Keep scrapePlaceDetailPage enabled so the Actor opens each place page and collects additional details such as website, phone, rating, review count, and booking link when available.

Support

If you need additional clinic verticals, schema refinements, or workflow-specific export improvements, use the Issues tab to request them.

Maintenance

This Actor is actively positioned as a clinic-focused data product. Future improvements will prioritize:

• cleaner clinic relevance
• easier city-by-city collection workflows
• better downstream import usability
• clearer agency and local SEO use cases