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.