🏥 German Healthcare Scraper - Jameda + Doctolib | Doctor Profiles & Contact Data

Extract doctor profiles, contact details, reviews, and ratings from Germany's two leading healthcare platforms in one unified dataset. Perfect for healthcare recruitment, medical sales, and market research.

What does this actor do?

• Scrapes 2 platforms simultaneously: Jameda + Doctolib (Germany's largest healthcare sites)
• Extracts comprehensive data: Names, specialties, addresses, phone numbers, emails, ratings, reviews, services
• Automatic deduplication: Same doctor on both platforms = one enriched record
• Unified output: Single JSON/CSV dataset, ready for CRM, analytics, or automation tools
• Geographic & specialty filtering: Search by city (Berlin, Munich, Hamburg) and medical specialty (Allgemeinmediziner, Zahnarzt, Orthopäde)

Use Cases

🎯 Healthcare Recruitment

Find specialists by city and specialty for clinic hiring. Export contact details directly to your applicant tracking system.

📊 Medical Market Research

Analyze doctor distribution, specialty gaps, and service availability across German cities. Track healthcare accessibility.

💼 Sales & Lead Generation

Build prospecting lists for medical device companies, pharmaceutical sales, or healthcare services. Get phone numbers and practice addresses.

🏥 Competitive Analysis

Compare clinic ratings, services offered, and patient review counts. Monitor competitor performance over time.

🔗 App Development

Power doctor discovery apps, booking platforms, or healthcare directories with fresh, structured data.

Pricing

Pay per result: $0.006 per doctor profile (recommended pricing based on market research)

Example costs:

• 100 doctors = $0.60
• 1,000 doctors = $6.00
• 10,000 doctors = $60.00

Much cheaper than flat monthly subscriptions ($15-20/month) offered by single-platform scrapers!

Input

Field	Type	Description	Required	Default
cities	Array	German cities (e.g., ["Berlin", "Munich", "Hamburg"])	✅ Yes	["berlin"]
professions	Array	Medical professions (e.g., ["Allgemeinmediziner", "Zahnarzt", "Orthopäde"])	✅ Yes	["orthopäde"]
maxResults	Number	Total providers to scrape (split across platforms)	No	10
platforms	Array	Which platforms: ["jameda", "doctolib"] or just one	No	Both
useProxies	Boolean	Enable Apify proxies (recommended for large volumes)	No	false

Example Input

{
  "cities": ["Berlin", "Munich"],
  "professions": ["Allgemeinmediziner", "Zahnarzt"],
  "maxResults": 100,
  "platforms": ["jameda", "doctolib"],
  "useProxies": false
}

Note: maxResults: 100 with 2 platforms = 50 doctors per platform (split evenly)

Output

Each doctor profile includes:

📋 Basic Information

• name - Full name (e.g., "Dr. med. Hans Müller")
• specialties - Medical specializations (["Allgemeinmedizin", "Innere Medizin"])
• platform - Data source (jameda, doctolib, or "both" if merged)

📍 Location Data

• address - Practice street address
• city - City name
• zipcode - Postal code

📞 Contact Details

• phone - Phone number (string, not array)
• website - Practice website URL
• profileUrl - Link to doctor's platform profile

🏥 Practice Information

• practiceName - Medical practice name
• services - Treatments/services offered (array)
• openingHours - Practice hours (array of strings like "Montag 08:00 - 12:00")
• hasOnlineBooking - Online appointment availability (boolean)
• insuranceTypes - Accepted insurance (["Gesetzlich", "Privat"])

⭐ Ratings & Reviews (Jameda only)

• rating - Average rating (1.0-5.0)
• reviewCount - Number of patient reviews

📊 Metadata

• scrapedAt - ISO timestamp
• dataQuality - Data completeness score (0-100)

Example Output Record

{
  "id": "jameda-1234567890",
  "platform": "jameda",
  "name": "Dr. med. Maria Schmidt",
  "specialties": ["Allgemeinmedizin"],
  "address": "Hauptstraße 123",
  "city": "Berlin",
  "zipcode": "10115",
  "phone": "+49 30 12345678",
  "website": "https://praxis-schmidt.de",
  "profileUrl": "https://www.jameda.de/berlin/aerzte/allgemeinmediziner/dr-schmidt",
  "practiceName": "Praxis Dr. Schmidt",
  "services": ["Impfungen", "Gesundheitscheck", "Vorsorgeuntersuchung"],
  "openingHours": [
    "Montag 08:00 - 12:00, 14:00 - 18:00",
    "Dienstag 08:00 - 12:00",
    "Mittwoch Geschlossen"
  ],
  "hasOnlineBooking": true,
  "insuranceTypes": ["Gesetzlich versichert", "Privat versichert"],
  "rating": 4.8,
  "reviewCount": 145,
  "scrapedAt": "2025-11-07T10:00:00.000Z",
  "dataQuality": 95
}

How It Works

1. Search Listings: Navigates to Jameda and Doctolib search pages for your city + specialty
2. Extract Profile URLs: Collects up to maxResults/2 profile URLs per platform
3. Scrape Details: Visits each doctor profile to extract complete information
4. Deduplicate: Automatically merges doctors appearing on both platforms into single enriched records
5. Export: Saves to Apify dataset as JSON, CSV, or Excel

Performance

• Speed: ~7-8 seconds per doctor (optimized parallel scraping)
• 10 doctors: ~1-2 minutes
• 100 doctors: ~12-15 minutes
• 1,000 doctors: ~2-3 hours

Export Formats

• JSON: Native format, best for APIs and automation
• CSV: Import into Excel, Google Sheets, or CRM tools
• Excel: Direct .xlsx download with formatting
• API: Access via Apify API for real-time integration

Integration Examples

n8n (Workflow Automation)

Apify Node → German Healthcare Scraper → Google Sheets / Airtable / CRM

Zapier

Schedule → Run Actor → Create CRM Leads → Send Slack Notification

Make (Integromat)

Webhook → Apify Actor → Filter Data → Update Database

SEO Keywords

This actor helps with: German doctor data extraction, Jameda scraper, Doctolib scraper, healthcare lead generation Germany, doctor contact information, medical recruiter tools, physician database Germany, Arztsuche API alternative, healthcare market research data, German medical professionals directory

Tips & Best Practices

🎯 Search Strategy

• Start small: Test with maxResults: 10 before scaling to 1,000+
• Use German terms: Allgemeinmediziner (not "general practitioner"), Zahnarzt (not "dentist")
• Major cities first: Berlin, Munich, Hamburg, Cologne have most doctors

🔀 Data Quality

• Enable deduplication: Automatically combines Jameda + Doctolib data for same doctor
• Check dataQuality score: 90-100 = excellent, 70-89 = good, <70 = incomplete
• Jameda has better reviews: More rating/review data than Doctolib
• Doctolib has better booking: Online appointment and service details

⚡ Performance Optimization

• Proxies: Enable for large scrapes (>500 doctors) to avoid rate limits
• Residential proxies: Use proxyGroups: ["RESIDENTIAL"] for maximum reliability
• Batch processing: Run multiple cities separately instead of one huge list

🔄 Scheduling

• Weekly runs: Track new doctors and updated information
• Monthly runs: Full market analysis and competitor monitoring
• State management: Actor avoids re-scraping same doctors across runs

Technical Details

• Technology: Playwright (Chromium) + Crawlee framework
• Anti-bot protection: Stealth mode, human-like delays, session management
• Deduplication: Name + city fuzzy matching across platforms
• Retry logic: Automatic retries for failed requests
• Dataset validation: Schema validation ensures data quality

Common Professions (German Terms)

German	English	Jameda URL Slug
Allgemeinmediziner	General Practitioner	allgemeinmediziner
Zahnarzt	Dentist	zahnarzt
Orthopäde	Orthopedist	orthopaedie
Hautarzt	Dermatologist	hautarzt
Frauenarzt	Gynecologist	frauenarzt
Kinderarzt	Pediatrician	kinderarzt
Psychologe	Psychologist	psychologe
Augenarzt	Ophthalmologist	augenarzt
HNO-Arzt	ENT Doctor	hno-arzt

Limitations & Compliance

⚠️ Terms of Service: Jameda and Doctolib terms apply. Use scraped data responsibly.

⚠️ GDPR: This actor scrapes publicly available data. Users are responsible for ensuring their use case complies with GDPR and German data protection laws.

⚠️ Data completeness: Not all doctors have email addresses or complete opening hours. Check dataQuality score.

⚠️ Rate limits: Both platforms have anti-bot protection. Use proxies for large volumes (>500 doctors).

FAQ

Q: How is this better than existing Jameda or Doctolib scrapers? A: You get data from both platforms in one run, with automatic deduplication. Existing scrapers require running 2 separate actors and manually merging results.

Q: What's the difference between maxResults with 1 vs 2 platforms? A: maxResults: 100 with 2 platforms = 50 per platform (100 total). With 1 platform = 100 from that platform.

Q: Can I get email addresses? A: Email addresses are rarely published on doctor profiles. Phone numbers and websites are more commonly available.

Q: Is this legal? A: We scrape publicly available data. It's your responsibility to ensure compliance with applicable laws (GDPR, copyright, terms of service).

Q: Can I use this for commercial purposes? A: Yes, but check Jameda/Doctolib terms of service. Common use cases (recruitment, research, sales) are generally acceptable.

Q: How often is data updated? A: Data is scraped in real-time when you run the actor. For tracking changes, schedule weekly or monthly runs.

Q: Can I export to my CRM? A: Yes! Export as CSV and import to Salesforce, HubSpot, Pipedrive, etc. Or use Apify's Zapier/Make integrations for automatic sync.

Q: What if I hit rate limits? A: Enable proxies (useProxies: true) and use residential proxy groups for maximum reliability.

Q: Can I scrape all of Germany? A: Yes, but Germany has ~160,000 doctors. Narrow by city and specialty for faster, more relevant results.

Q: Do I pay for duplicates? A: No! Pay-per-event billing charges once per unique doctor profile, even if they appear on both platforms.

Support

• Documentation: Apify Docs
• Issues: Report bugs via Apify Console
• Custom development: Contact for bulk pricing or custom features

Updates & Changelog

v1.0 (Nov 2025)

• ✅ Initial release
• ✅ Jameda + Doctolib support
• ✅ Automatic deduplication
• ✅ Pay-per-result pricing
• ✅ City + specialty search
• ✅ Unified dataset schema

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Built with ❤️ using Apify SDK | Made in Germany 🇩🇪

This actor is not affiliated with Jameda or Doctolib. All trademarks belong to their respective owners.