India Google Maps Scraping

I need a fresh, well-structured dataset of Business details pulled directly from Google Maps for the whole of India. The scope covers every city and state, so the final file should feel nationwide rather than limited to a handful of metros.

Coaching Center
Test preparation center
Educational consultant
Career guidance service
Student career counseling office
Tutoring service
Private Tutor
Education center
Educational institution
Learning center
Studying center
Training centre
Academics
Education
Educational testing service
Preparatory school
Science academy
Adult education school
After school program
Distance Learning Center
Study at home school
Private educational institution
Public educational institution
Higher education
Students support association
Students parents association
Student union
School
High school
Higher secondary school
Senior high school
Secondary school
Junior college
CBSE School
ICSE School
State Board School
International school
Boarding school
Government School
General education school
Girls' high school
Boys' high school
Girls' school
Co-ed school
School center
Community school
Combined primary and secondary school
Single sex secondary school
Residential college
College
Private College
Government college
Women's College
Community college
Christian college
University
Private university
Public university
University department
Open university
Graduate school
Medical school
Dental school
Nursing school
Faculty of pharmacy
Faculty of science
Faculty of chemistry
Hostel
Boys' hostel
Girls' hostel
Youth Hostel
Student housing center
Student dormitory
Paying guest
Boarding house
Library
Public library
Book store
Bookstore
Medical book store
Used book store
Educational supply store
School supply store
Stationery store
Copy shop
Print shop
Digital printing service
Internet cafe
Passport photo processor
Aadhaar center
Loan agency
Visa Agent
Hospital
General hospital
Private hospital
Government hospital
Children's hospital
Heart hospital
Specialized hospital
Nursing home
Medical Center
Medical clinic
Medical group
Community health centre
Doctor
General practitioner
Family practice physician
Surgeon
Pediatrician
Obstetrician-gynecologist
Gynecologist
Orthopedic surgeon
Orthopedic clinic
Cardiologist
Neurologist
Neurosurgeon
Dermatologist
ENT Specialist
Ophthalmologist
Psychiatrist
Diabetologist
Radiologist
Pathologist
Oncologist
Urologist
Gastroenterologist
Pulmonologist
Dental clinic
Dentist
Orthodontist
Diagnostic center
Medical diagnostic imaging center
Medical laboratory
Blood testing service
Pharmacy
Eye care center
Skin care clinic
Maternity Centre
Fertility clinic
Child health care centre
Ayurvedic clinic
Homeopath
Homeopathic pharmacy
Physiotherapy Center
Physiotherapist
Alternative medicine practitioner
Naturopathic practitioner
Occupational therapist
Nursing agency
Nursing association

What has to be captured
• Business name and address
• Contact information (phone, email if shown, website link where available)

Format & quality
Deliver the results in either Excel or CSV, one row per listing with clear column headers. Please avoid duplicates and run a quick sanity-check so wrong or obviously placeholder numbers are filtered out.

How you get there is up to you—Python with Selenium or Scrapy, Google Maps Places API, or any robust alternative all work for me—as long as rate-limits are handled gracefully and the final output is complete. If you generate the data through code, include that script so I can rerun or extend the list later.

Acceptance
1. Random spot-check of 50 records must match what appears live on Google Maps.
2. File opens cleanly with UTF-8 encoding and no broken lines.
3. A brief log or README explains the steps, tools, and any assumptions made.

Once these points are met, the project is done.