We extract physician profiles, clinic locations, insurance acceptance, patient reviews, and calendar availability from Jameda. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Doctor Profiles objects from jameda.de. All fields typed and schema-versioned.
"doctor_id": "dr-med-max-mustermann-123", "name": "Dr. med. Max Mustermann", "title": "Dr. med.", "specialty": "Orthopädie", "total_reviews": 142, "average_rating": 4.8, "languages": "['Deutsch', 'Englisch']"
| # | doctor_id | name | title | specialty | sub_specialties | profile_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Clinic & Location Data objects from jameda.de. All fields typed and schema-versioned.
"clinic_name": "Orthopädie Zentrum München", "street": "Marienplatz 1", "zip_code": "80331", "city": "München", "latitude": 48.137154, "longitude": 11.576124, "wheelchair_accessible": true
| # | location_id | doctor_id | clinic_name | street | zip_code | city |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Patient Reviews objects from jameda.de. All fields typed and schema-versioned.
"review_id": "rev-987654321", "rating_overall": 5.0, "rating_wait_time": 4.5, "review_text": "Sehr kompetenter Arzt, nimmt sich viel Zeit für die Patienten.", "review_date": "2026-03-15", "patient_insurance_type": "Gesetzlich versichert", "patient_age_group": "30-50"
| # | review_id | doctor_id | rating_overall | rating_treatment | rating_education | rating_trust |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Appointment Availability objects from jameda.de. All fields typed and schema-versioned.
"doctor_id": "dr-med-max-mustermann-123", "visit_type": "Erstuntersuchung", "insurance_accepted": "['Gesetzlich', 'Privat']", "next_available_date": "2026-05-20", "available_slots": 4, "is_video_consultation": false, "new_patients_accepted": true
| # | doctor_id | location_id | visit_type | insurance_accepted | next_available_date | available_slots |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Services & Pricing objects from jameda.de. All fields typed and schema-versioned.
"service_name": "Stoßwellentherapie", "service_category": "IGeL-Leistungen", "price_min": 85.0, "currency": "EUR", "covered_by_public_insurance": false, "covered_by_private_insurance": true, "duration_minutes": 20
| # | doctor_id | service_name | service_category | description | price_min | price_max |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Jameda scraper navigates complex directory structures, premium vs standard profile layouts, and dynamic booking calendars to extract structured physician data while maintaining strict GDPR compliance.
Extract names, titles, qualifications, languages, specialties, and sub-specialties across both free and premium Jameda profiles.
Capture overall ratings, wait times, friendliness scores, and full review text. Paginate through all historical patient feedback.
Extract next available slots, video consultation flags, and available appointment times by interacting with the dynamic booking widgets.
Determine public vs private insurance acceptance per doctor and per specific medical service offered.
Extract clinic addresses, geographic coordinates, wheelchair accessibility, and public transport options.
Scrape specific procedures offered, including IGeL services, with pricing and duration details if listed by the physician.
Iterate through German zip codes (PLZ) and cities to ensure complete coverage of specific medical specialties.
Full Playwright execution to hydrate booking calendars and reveal obfuscated contact details.
Handle Docplanner's Cloudflare and Datadome protections using German residential proxy rotation and fingerprinting.
Only emit updates when a doctor changes clinic, updates availability, or receives a new patient review.
Brief in. Clean data out.
Provide target cities, zip codes, medical specialties, or specific doctor URLs. We design the extraction schema together.
We configure Playwright crawlers, German residential proxies, and interaction flows for calendar widgets.
Schema validation, null-rate checks on reviews, and calendar parsing tests before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Healthcare directories use strict rate limiting and complex JavaScript to protect their databases. Here is how we maintain stable extraction.
Jameda and the broader Docplanner network employ strict rate limits and Datadome challenges. We use premium German residential proxies to distribute requests naturally and avoid geographic blocking.
Booking calendars and paginated reviews are heavily JavaScript-dependent. We run full browser sessions to simulate user clicks, ensuring all available appointment slots are hydrated and captured.
We only extract public directory data and anonymised patient reviews. Our pipelines are configured to drop any fields that might contain patient PII, ensuring your datasets remain fully compliant.
Extracting availability requires clicking through calendar months and selecting insurance types. Our automated flows handle these interactions reliably to map out future availability.
Jameda displays premium doctor profiles differently from basic listings. Our selector strategy uses fallback chains to normalise data across all profile types into a single, clean schema.
Healthcare networks track competitor clinic locations, doctor counts, and specialties across specific German regions.
Agencies monitor patient reviews and wait time ratings across specific medical groups to improve patient satisfaction.
Pharma and medtech companies map physician specialties, languages spoken, and treatment focus areas to optimise sales territories.
Medical software vendors identify doctors still using basic booking systems or lacking online appointment availability.
Researchers analyse wait times, review sentiment, and appointment availability across different German states.
Insurers audit public vs private acceptance rates across specialties to identify gaps in coverage networks.
"Jameda holds the most comprehensive map of German healthcare availability, but extracting calendar data requires complex browser automation."
Scraping healthcare directories is technically demanding due to strict rate limits, regional IP blocking, and heavy JavaScript reliance for booking widgets. DataFlirt manages the proxy rotation, browser sessions, and schema maintenance so your data engineering team receives clean, structured records.
Everything supported by our jameda.de scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and deduplication, while Playwright manages JavaScript execution for booking calendars and dynamic content.
We maintain pools of German residential ISP proxies to avoid regional blocks and bypass Datadome anti-bot protections.
Pipelines run on AWS ECS with Airflow handling scheduling, dependency management, and SLA alerting. State is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About jameda.de scraping, legality, and pipeline operations.
Ask us directly →Extracting public business profiles and anonymised reviews is generally permissible. We strictly avoid scraping patient PII to maintain GDPR compliance. Clients should review Jameda's ToS and consult legal counsel for specific use cases.
We use Playwright to simulate user clicks on the booking widget, extracting available dates and times for both public and private insurance patients.
Yes, we can configure the pipeline to iterate through specific PLZ (zip codes) or cities, focusing on exact medical specialties.
Calendar data can be polled daily or hourly depending on the scope of the target doctor list and the required geographic coverage.
Yes, our schema normalises data across both free and premium Jameda profiles, capturing all available fields including extended treatment catalogues.
We utilise German residential ISP proxies, realistic browser fingerprinting, and automated CAPTCHA solvers to maintain high success rates against Datadome and Cloudflare.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full directory export of German physicians or daily monitoring of appointment availability — we scope, build, and operate the pipeline.
