This isn't a guide about scraping medical records, and it has nothing to do with patients. It's a sales problem: you sell something to healthcare practices — an imaging device, a scheduling app, a billing service, PPE, a CRM — and you need a clean list of the right clinics with a phone number that rings and a website that loads. Most "healthcare lead lists" you can buy fail on exactly that last point. Here's how to build one that doesn't.
The output you're actually after
Forget the scraper jargon for a second. The deliverable is a spreadsheet your SDR can open and start working today. Every row is a contactable practice, and the columns are the ones outbound actually uses:
| practice_name | specialty | phone | website | address | category |
|---|---|---|---|---|---|
| Lakeside Dental Care | General Dentistry | (512) 555-0142 | lakesidedental.com | 2200 W 6th St, Austin TX | dental |
| Hill Country Physical Therapy | Orthopedic PT | (512) 555-0198 | hcptaustin.com | 901 Barton Springs, Austin TX | physical_therapy |
| Bright Smile Orthodontics | Orthodontics | (512) 555-0177 | — | 4500 Burnet Rd, Austin TX | dental |
A practice with no website (row three) isn't a gap — it's a signal. To a web-design or health-SaaS seller, "no website" is the qualifier.
That's it. No NPI deep-enrichment, no patient anything. Six columns, and the segmentation you need for a campaign is already in specialty and category.
Where the data comes from
You don't invent these practices — you assemble them from places that already list providers publicly because the providers want to be found by patients and partners:
- Map listings — the densest source for "every dermatology clinic in Phoenix" with phone, site and address attached.
- Professional and association directories — specialty bodies that list member practices.
- Insurer "find a provider" pages — structured, specialty-tagged, and current because claims depend on it.
- Practice websites themselves — for the email or contact form the map listing doesn't show.
The job is to pull from these, normalize them into the six columns above, dedupe practices that appear in two sources, and hand you one CSV. That's what a provider-leads Actor does — you give it a specialty and a geography, it returns the list.
curl -X POST "https://api.apify.com/v2/acts/renzomacar~healthcare-provider-leads/run-sync-get-dataset-items?token=<APIFY_TOKEN>&format=csv" \
-H "Content-Type: application/json" \
-d '{
"specialty": "dermatology",
"location": "Phoenix, AZ",
"radiusKm": 40,
"maxResults": 500,
"requireWebsite": false
}'Note &format=csv on the URL — the same call returns JSON for your app or a spreadsheet for your sales team, no transform step.
Use cases that pay for themselves
Why build it instead of buying a list
You can buy a "50,000 healthcare contacts" file for a few hundred dollars. You usually shouldn't. Here's the honest comparison:
Bought static list
- Snapshot that began decaying the day it was compiled
- Healthcare data rots fast — practices merge, move, rebrand constantly
- Dead numbers and parked domains you only discover mid-call
- Same file sold to your competitors, so the inbox is already fatigued
- No way to re-pull next quarter without paying again
List you build on demand
- Pulled today from live directories — numbers ring, sites load
- Re-runnable: refresh the same territory in 90 days for free credits
- Filtered to exactly your specialty, radius and "has/needs a website"
- Yours, not resold to the field
- Deduped across sources before it reaches your CRM
The compliance line — read this
A healthcare lead list is B2B data, the same category as any other industry's contact list, as long as it stays about the business. The boundary is patients.
Fine: practice name, provider specialty, business phone, business website, business address. This is public, professional information clinics publish to be found.
Never: anything that identifies, or could re-identify, a patient. That is Protected Health Information (PHI) under HIPAA, and a provider-leads workflow has no business touching it — directories don't expose it and you shouldn't try to derive it. If a data point answers "who is this clinic", it belongs in your list; if it hints at "who is a patient here", it does not.
Separately, your outreach still has to follow the normal rules — honor TCPA/CAN-SPAM and any do-not-call registration on those business numbers. Building the list is the easy part; reaching out responsibly is the part that protects your domain and your brand.
From CSV to first dials, end to end
Define the segment narrowly
"Healthcare" is not a segment. "Dental practices within 40km of Austin with 1–3 locations" is. The tighter the specialty and geography, the higher your connect and conversion rates — and the smaller, cheaper run.
Pull and dedupe
Run it, get the CSV. Practices listed on both a map and an insurer page are merged on name+address so you don't dial the same clinic twice and look careless.
Split by your qualifier
If you sell websites or booking software, split on website being empty — that's your hot list. If you sell to established practices, do the opposite. The category column lets you route dental vs. PT vs. derm to the right rep.
Refresh the territory quarterly
Re-run the same query in 90 days and diff it: new practices that opened are your freshest, warmest leads, and closed ones drop off your follow-up list automatically.
Get a contactable provider list, not a stale file
Our Healthcare Provider Leads Actor pulls practices by specialty and geography from live directories, normalizes them to a clean CSV with phone, website and address, and dedupes across sources. Free Apify credits to start.
Run the Provider Leads Actor → Or get general local leadsDisclosure: links to Apify on this page are affiliate links, marked rel="sponsored". If you create a paid account through them we may earn a commission at no extra cost to you. We build and maintain Actors on Apify ourselves, including the Healthcare Provider Leads Actor linked above. Nothing here is legal advice; confirm your own outreach and data practices with counsel.