🩺 Healthline Medical Providers Directory Scraper

🚀 Export the Healthline FindCare provider directory in seconds. Pull physician profiles, specialties, credentials, ratings, insurance, and office locations by specialty, state, or city. No login, no API key, no manual copy-paste.

🕒 Last updated: 2026-04-24 · 📊 28 fields per provider · 🏥 Physicians/specialists · ⭐ Ratings & reviews · 🚫 No auth required

The Healthline Medical Providers Directory Scraper exports records from Healthline FindCare and returns 28 fields per provider, including name, credentials, specialty, practice, patient ratings, insurance acceptance, office locations, and telehealth availability. Healthline is one of the most visited consumer health destinations in the United States, and its FindCare directory aggregates physician and specialist profiles across every state and specialty.

Data covers primary care, cardiology, dermatology, orthopedics, OB-GYN, pediatrics, and hundreds of other specialties across all 50 U.S. states. This Actor turns the directory into a clean JSON, CSV, Excel, or XML dataset in minutes. All filters run against the live site, so you skip the HTML parsing entirely.

🎯 Target Audience	💡 Primary Use Cases
Healthtech platforms, insurance aggregators, provider-network analysts, medical recruiters, clinical researchers, patient-matching startups	Provider directory sync, insurance coverage mapping, referral network building, telehealth availability tracking, NPI enrichment, physician lead generation

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📋 What the Healthline Medical Providers Directory Scraper does

Five lookup workflows in a single run:

• 🏷️ Specialty search. Target any medical specialty slug (cardiology, dermatology, primary-care-doctors, orthopedics, and more).
• 🗺️ State and city filters. Scope results to a specific U.S. state and city, or leave both blank for nationwide results.
• 💳 Insurance filter. Restrict to providers that accept a specific insurance carrier.
• ✅ Availability filters. New-patient acceptance, telehealth support, and online-scheduling toggles.
• 🔗 Start URL mode. Paste any Healthline FindCare listing URL and pull every provider it returns.

Each record includes profile photo, name, credentials, specialty, ratings, review counts, distance, insurance list, office addresses, phone, and optional deep-profile fields such as education, board certifications, hospital affiliations, and NPI number.

💡 Why it matters: provider data powers insurance verification, referral workflows, and patient-matching engines. Building your own scraper means rotating proxies, parsing React-hydrated payloads, and handling pagination by hand. This Actor does all of that for you and keeps the dataset fresh on every run.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing how to go from sign-up to a downloaded provider dataset.

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⚙️ Input

Input	Type	Default	Behavior
startUrl	string	""	Direct Healthline FindCare listing URL. Overrides specialty/state/city filters.
maxItems	integer	10	Providers to return. Free plan caps at 100, paid plan at 1,000,000.
specialty	string	"cardiology"	Medical specialty slug. Examples: cardiology, dermatology, primary-care-doctors.
state	string	"ny"	Two-letter U.S. state code. Blank = all states.
city	string	"new-york"	City slug. Blank = all cities in the state.
sortBy	string	"recommended"	Sort order: recommended, distance, or rating.
acceptsNewPatients	boolean	false	Keep only providers accepting new patients.
offersTelehealth	boolean	false	Keep only providers offering telehealth visits.
schedulesOnline	boolean	false	Keep only providers with online scheduling.
insuranceCarrierId, insuranceCarrierName	string	""	Filter providers by a specific insurance carrier. Both values required together.
includeDetails	boolean	false	Fetch each provider profile page for education, hospital affiliations, languages, and NPI.

Example: 50 cardiologists in New York City.

{
    "maxItems": 50,
    "specialty": "cardiology",
    "state": "ny",
    "city": "new-york",
    "sortBy": "rating"
}

Example: dermatologists accepting new patients with telehealth, full profiles.

{
    "maxItems": 100,
    "specialty": "dermatology",
    "state": "ca",
    "acceptsNewPatients": true,
    "offersTelehealth": true,
    "includeDetails": true
}

⚠️ Good to Know: listing cards return a consistent summary record. The full-profile fields (education, board certifications, NPI, hospital affiliations, languages) require includeDetails: true, which adds one detail page request per provider.

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📊 Output

Each provider record contains 28 fields. Download the dataset as CSV, Excel, JSON, or XML.

🧾 Schema

Field	Type	Example
🖼️ imageUrl	string	"https://.../doctor.jpg"
👤 name	string	"Jane Smith, MD"
🔗 url	string	"https://care.healthline.com/find-care/provider/..."
🏷️ specialty	string	"Cardiology"
🎓 credentials	string	"MD, FACC"
🏢 practiceName	string	"Manhattan Heart Center"
⭐ rating	number | null	4.8
💬 reviewCount	number | null	142
📏 distanceMiles	number | null	2.4
💳 insuranceAccepted	string[]	["Aetna", "Cigna", "UnitedHealthcare"]
📍 locations	object[]	[{ "address": "...", "city": "...", "state": "...", "zip": "...", "phone": "..." }]
✅ isAcceptingNewPatients	boolean | null	true
🗓️ hasOnlineBooking	boolean | null	true
💻 offersTelehealth	boolean | null	true
🧭 yearsOfExperience	number | null	18
📝 about	string	"Board-certified cardiologist..."
🎓 education	string[]	["Johns Hopkins University School of Medicine"]
📜 boardCertifications	string[]	["American Board of Internal Medicine"]
🏥 residency	string[]	["Mount Sinai Hospital"]
🧑‍⚕️ internship	string[]	["NYU Langone"]
🏩 hospitalAffiliations	string[]	["NewYork-Presbyterian Hospital"]
🩺 conditionsTreated	string[]	["Hypertension", "Heart Failure"]
💬 reviewHighlights	string[]	["Very thorough and kind"]
🗣️ languagesSpoken	string[]	["English", "Spanish"]
🚻 gender	string	"Female"
🆔 npi	string	"1234567890"
🗺️ directionsUrl	string | null	"https://maps.google.com/..."
🕒 scrapedAt	ISO 8601	"2026-04-21T00:00:00.000Z"

📦 Sample records

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✨ Why choose this Actor

	Capability
🏥	Nationwide coverage. Every U.S. state and hundreds of medical specialties available from a single input form.
🎯	Multi-dimensional filters. Combine specialty, state, city, insurance carrier, telehealth, and new-patient acceptance in one run.
📞	Contact-ready records. Office address, phone, and directions URL included on every listing card.
🆔	NPI enrichment. Optional detail mode extracts NPI numbers for cross-system joins with CMS, Medicare, and claims data.
⚡	Fast. 100 providers in under a minute. Residential proxy rotation handled internally.
🔁	Always fresh. Every run hits Healthline live, so ratings and availability reflect the current listings.
🚫	No authentication. Works against the public FindCare directory. No login or API key needed.

📊 Accurate provider directory data is the backbone of every health-insurance network, telehealth platform, and patient-matching engine in the United States.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ Healthline Medical Providers Directory Scraper (this Actor)	$5 free credit, then pay-per-use	Nationwide, all specialties	Live per run	specialty, state, city, insurance, telehealth	⚡ 2 min
NPPES / CMS data dumps	Free	NPI registry only	Weekly	None built-in	🐢 Hours
Commercial provider APIs	$500+/month	Curated subsets	Varies	Many	⏳ Days
Manual FindCare copy-paste	Free	One record at a time	Manual	None	🕒 Hours per run

Pick this Actor when you want live consumer-facing provider data with ratings, reviews, and insurance info in a structured feed.

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Healthline Medical Providers Directory Scraper page on the Apify Store.
3. 🎯 Set input. Pick a specialty, state, and city (or paste a FindCare URL), then set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your provider records.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💼 Business use cases

🏥 Health Tech & Patient Matching Provider directory sync for telehealth apps Specialty-to-physician mapping for patient triage Insurance network cross-checks before booking Real-time availability indicators for booking flows	💳 Insurance & Benefits Platforms Populate in-network provider lookups Audit carrier coverage claims against live listings Build employer benefits portals with current data Map rating signals to network tiers
📊 Clinical Research & Analytics Physician density by specialty and metro area Telehealth adoption tracking across states Rating benchmarks by specialty and region NPI enrichment for claims-data joins	🎯 Medical Sales & Recruiting Lead lists of cardiologists, dermatologists, and more Practice-level targeting with office addresses Recruiter outreach for hospital affiliations Pharma rep territory planning by specialty

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

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🔌 Automating Healthline Medical Providers Directory Scraper

Control the scraper programmatically for scheduled runs and pipeline integrations:

• 🟢 Node.js. Install the apify-client NPM package.
• 🐍 Python. Use the apify-client PyPI package.
• 📚 See the Apify API documentation for full details.

The Apify Schedules feature lets you trigger this Actor on any cron interval. Hourly, daily, or weekly refreshes keep downstream provider databases in sync automatically.

🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity
• 🅒 Copilot

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❓ Frequently Asked Questions

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🔌 Integrate with any app

Healthline Medical Providers Directory Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe provider data into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh provider data into your CRM, or alert your team in Slack when new listings appear.

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🔗 Recommended Actors

• 🩻 WebMD Healthcare Provider Directory Scraper - WebMD physician and specialist profiles
• ⭐ Healthgrades Scraper - Doctor ratings, reviews, and office data
• 🏩 CMS Nursing Home Ratings Scraper - Official Medicare nursing home inspection and star ratings
• 💊 PharmacyChecker Scraper - Prescription drug prices across verified pharmacies
• 🛡️ Healthcare.gov Scraper - ACA marketplace plan data and coverage details

💡 Pro Tip: browse the complete ParseForge collection for more healthcare and reference-data scrapers.

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🆘 Need Help? Open our contact form to request a new scraper, propose a custom data project, or report an issue.

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⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Healthline, Healthline Media, or any of its parent companies. All trademarks mentioned are the property of their respective owners. Only publicly available directory data is collected.