Get a list of pharmacies, doctors & clinics by city
Need every pharmacy, doctor's office, dentist, clinic or hospital in a city — with its type, speciality, contact details and a clean address? This pulls exactly that from OpenStreetMap, the open map of the world. You name an area, run the tool, and get a structured table of healthcare facilities back.
To be completely clear: this is facility data only — never patient or personal data. You get the places (their name, type, speciality, phone, website and address), not anyone's health records. It's built for people doing real directory and access work: building healthcare directories, B2B outreach to facilities for sales or distribution, coverage and access analysis, and "find a pharmacy near me" style features.
What you get
Every facility row can include these tool-specific fields:
- name — the facility name
- facility_type — what kind of place it is (e.g. pharmacy, doctors, dentist, clinic, hospital, nursing_home)
- healthcare — the OpenStreetMap healthcare classification for the place
- speciality — the medical speciality, where mapped
- dispensing — whether a pharmacy dispenses prescriptions
- emergency — whether it offers emergency services
- operator — the company or body operating the location
- phone — contact phone number
- website — the facility's website
Every row also includes full_address, map_url, state and branch, plus the common location fields latitude, longitude, street, housenumber, city, postcode, country, source_url and all_tags. Fields are honest-null — anything not mapped comes back blank rather than guessed. Again: facility data only, no PII.
How to get it (no API key)
Run the dataquarry Healthcare Facilities Scraper on Apify. You don't need any data-provider key or account — just give it an area. Here's the example input:
{"area":"Manchester, UK","facilityTypes":["pharmacy","doctors"]}
You can also search by radius around a point, by bounding box, or add an optional name filter. The facilityTypes filter accepts pharmacy, doctors, dentist, clinic, hospital and nursing_home.
You'll get rows like this:
| name | facility_type | speciality | dispensing | phone | city | full_address |
|---|---|---|---|---|---|---|
| Boots Pharmacy | pharmacy | yes | +44 161 123 4567 | Manchester | 42 Market Street, M1 1PW, Manchester, UK | |
| City Dental Care | dentist | dentist | +44 161 765 4321 | Manchester | 8 Oxford Road, M1 5QA, Manchester, UK |
Run the Healthcare Facilities Scraper on Apify →
Why OpenStreetMap?
The data is open OpenStreetMap data under the ODbL, so you can redistribute it with attribution to © OpenStreetMap contributors — no API key, no anti-bot games, and no Terms-of-Service problems. Fields are honest-null, so what's there is real and what's missing is blank rather than guessed, and it's strictly facility data with no PII. Pricing is pay-per-result at $3 per 1,000 rows, and you can export to CSV, JSON or Excel.
Browse pharmacies by city
Ready-made pharmacy & drugstore lists for major US metros: Chicago · Phoenix · Dallas · Houston · San Antonio · Brooklyn · New York · San Jose · Philadelphia · Austin · Fort Worth · Portland · Indianapolis
FAQ
Does this include any patient or personal data?
No. It returns facility data only — the place's name, type, speciality, contact and address from OpenStreetMap. No patient or personal data of any kind.
Do I need an API key?
No. Give the tool a city (or radius, or name) and run it — no key and no quota.
How much does it cost?
Pay-per-result: $3 per 1,000 rows — you only pay for the rows you actually get.