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Healthcare Facilities Scraper – Pharmacies, Clinics, Doctors & Dentists (OpenStreetMap)

Extract healthcare facilities from OpenStreetMap by area, radius, or name — no API key, no medical-directory subscription, no anti-bot battles. Open, legal (ODbL) data you can redistribute. Public facility listings only — no patient data.

Give it an area like "Manchester, United Kingdom" and get back tidy rows for every pharmacy, doctor's surgery, dentist, clinic, hospital and nursing home: name, facility type, speciality, dispensing, emergency flag, operator, full address, coordinates, contact, and the raw OpenStreetMap tags. You can also search around a point (every clinic within X km) or filter by name (e.g. every "Boots" pharmacy).

Why use this scraper?

• Healthcare-specific fields. Beyond a generic POI dump — facility_type, normalized healthcare, speciality, dispensing (pharmacies) and emergency are parsed out of the OpenStreetMap tags.
• Legal & open. OpenStreetMap data is ODbL-licensed — redistributable with attribution. Facility listings, not patient/PII data. No login.
• No API key. No medical-data provider account, no quota.
• Search by area, radius, or name. A whole city/region, everything within X metres of a point, or every facility of one brand.
• Filter by type. Pharmacies only, or clinics + doctors, etc.
• No duplicates. When OpenStreetMap maps one facility twice (a node and a building outline), you get a single, richer row.
• Honest data. Every value comes straight from OpenStreetMap; anything not mapped is left empty (null) — never guessed.
• Global coverage & reliable. Anywhere OSM has data; retries across multiple Overpass mirrors.

Great for

• Medical / pharmacy / clinic directories and finder apps
• Healthcare market research, coverage and access analysis
• B2B lead lists for healthcare suppliers and services
• Care-access mapping, public-health datasets, AI/RAG pipelines

Input

Example input

{
"area":"Manchester, United Kingdom",
"facilityTypes":["pharmacy","doctors","dentist","clinic"],
"maxResults":500
}

Every Boots pharmacy within 15 km of a point:

{
"aroundLocation":"Leeds City Centre",
"radiusMeters":15000,
"facilityTypes":["pharmacy"],
"searchTerm":"Boots"
}

Output

One row per facility:

Example output

{
"name":"Boots",
"facility_type":"pharmacy",
"healthcare":"pharmacy",
"speciality":null,
"dispensing":"yes",
"emergency":null,
"operator":"Boots UK",
"brand":"Boots",
"city":"Manchester",
"postcode":"M1 1AA",
"country":"GB",
"phone":"+44 161 000 0000",
"opening_hours":"Mo-Sa 09:00-18:00",
"osm_type":"node",
"source_url":"https://www.openstreetmap.org/node/..."
}

Any field is null when the facility hasn't tagged it in OpenStreetMap — values are never guessed.

FAQ

Do I need an API key or account? No — give it an area (plus optional radius/name filters) and run. No data-provider key, no quota, no setup.

Is the data legal to use and redistribute? Yes. It comes from OpenStreetMap under the Open Database License (ODbL): public data you can redistribute with attribution (© OpenStreetMap contributors). No logins, no Terms-of-Service violations.

How is this different from a Google Maps scraper? It uses open OpenStreetMap data instead of scraping a site behind anti-bot defenses and Terms of Service — so it's legal, needs no API key, and returns an honest null for anything OSM hasn't mapped instead of guessing. It returns facility data only (type, speciality, contact) — no patient or personal data.

How much does it cost? Pay-per-result: $3 per 1,000 results — you only pay for the rows you actually get.

Which countries does it cover? Worldwide — anywhere OpenStreetMap has data.

How fresh is the data? It's pulled live from OpenStreetMap at run time, so it reflects the current map.

Data source & license

Data comes from OpenStreetMap via the public Nominatim (geocoding) and Overpass (querying) APIs. OpenStreetMap data is © OpenStreetMap contributors, licensed under the Open Database License (ODbL). If you publish or redistribute results, attribute "© OpenStreetMap contributors".

Notes

• Coverage and tag richness vary by region — OSM is community-mapped, so cities are richer than rural areas.
• This returns facility information (names, addresses, phones, specialities) — not individual practitioners or any patient data.

More OpenStreetMap data actors

Part of dataquarry's family of clean, ODbL OpenStreetMap extractors — same flexible area / radius / bounding-box / name search, same honest-null data (a field that isn't mapped is left empty, never guessed):

• OpenStreetMap Places Scraper — POI & local business, 115+ categories
• EV Charging Stations Scraper — socket types, power (kW), networks
• Hotels & Lodging Scraper — stars, rooms, brands
• Healthcare Facilities Scraper — pharmacies, doctors, dentists, clinics
• Tourist Attractions & Museums Scraper — Wikidata & Wikipedia links
• Fuel Station Scraper — fuel types, brands, payment methods
• Supermarket & Grocery Scraper — brands, organic, payment methods