We extract doctor profiles, clinic metadata, appointment availability, consultation fees, and patient reviews from Doctoranytime. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Postgres 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 doctoranytime.com. All fields typed and schema-versioned.
"doctor_id": "doc_84921", "full_name": "Dr. Andreas Georgiou", "specialty": "Cardiologist", "experience_years": 14, "spoken_languages": "['Greek', 'English']", "profile_url": "https://www.doctoranytime.gr/en/d/cardiologist/andreas-georgiou"
| # | doctor_id | full_name | specialty | sub_specialties | experience_years | education |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Clinic Locations objects from doctoranytime.com. All fields typed and schema-versioned.
"clinic_id": "cln_3920", "doctor_id": "doc_84921", "clinic_name": "Athens Heart Center", "city": "Athens", "postal_code": "11528", "latitude": 37.9838, "longitude": 23.7275
| # | clinic_id | doctor_id | clinic_name | address_line | city | postal_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Appointment Slots objects from doctoranytime.com. All fields typed and schema-versioned.
"doctor_id": "doc_84921", "date": "2026-05-14", "time_slot": "14:30", "is_telehealth": false, "consultation_fee": 60.0, "currency": "EUR", "slot_status": "available"
| # | doctor_id | clinic_id | date | time_slot | is_telehealth | consultation_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Patient Reviews objects from doctoranytime.com. All fields typed and schema-versioned.
"review_id": "rev_99231", "doctor_id": "doc_84921", "rating_overall": 5.0, "rating_wait_time": 4.5, "review_text": "Excellent doctor, very thorough examination.", "review_date": "2026-04-10", "verified_visit": true
| # | review_id | doctor_id | patient_initials | rating_overall | rating_wait_time | rating_bedside_manner |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Services & Pricing objects from doctoranytime.com. All fields typed and schema-versioned.
"doctor_id": "doc_84921", "service_name": "Echocardiogram", "service_category": "Diagnostic", "price_min": 80.0, "price_max": 100.0, "currency": "EUR", "covered_by_insurance": true
| # | doctor_id | service_name | service_category | price_min | price_max | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our pipeline extracts every layer of the platform: physician profiles, dynamic availability calendars, verified reviews, and pricing data across all supported countries.
Capture names, specialties, education history, years of experience, and spoken languages for every listed doctor.
Extract open appointment slots, dates, and times directly from the dynamic booking widgets.
Scrape data across all Doctoranytime regions including Greece, Belgium, Cyprus, Mexico, Ecuador, and Colombia.
Extract overall ratings, specific metric scores like wait time, full review text, and verified visit flags.
Capture baseline consultation costs, specific medical service pricing, and accepted insurance networks.
Extract exact clinic addresses, postal codes, and geographic coordinates for spatial analysis.
Identify doctors offering video consultations and extract specific telehealth pricing.
Map the specific diagnostic and treatment services offered by each physician.
Run continuous pipelines at daily or hourly cadences to track changes in appointment availability.
Brief in. Clean data out.
Provide target specialties, cities, or specific doctor URLs. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, handle calendar API intercepts, and manage regional proxies.
Schema validation, null-rate checks, and availability accuracy verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Postgres database on agreed cadence.
Extracting healthcare data requires navigating dynamic calendar widgets and regional variations. Here is how our infrastructure manages it.
Appointment slots load dynamically via backend API calls when a user navigates the calendar widget. Our pipeline intercepts these network requests directly, extracting precise availability data without relying on fragile DOM parsing.
Frequent calendar polling triggers rate limits and IP bans. We distribute requests across residential proxies in the target region, rotating IPs and spoofing TLS fingerprints to maintain uninterrupted access.
Doctoranytime operates in multiple languages including Greek, French, Dutch, and Spanish. We map region-specific DOM structures into a single unified schema, ensuring your downstream tables remain clean.
For availability tracking, we hash the calendar state. Subsequent runs only emit records when new slots open or existing slots are booked, reducing processing load on your data warehouse.
Healthcare platforms frequently update their profile layouts to feature new services. We use multiple fallback selectors and structured JSON-LD extraction to ensure data flows even during site updates.
Healthcare networks monitor independent clinic pricing, service offerings, and patient satisfaction scores.
Investors analyse doctor density and specialty distribution across regions to identify underserved markets.
Insurers track which physicians accept specific plans to optimise their provider networks.
Digital health platforms aggregate telemedicine availability to offer consolidated booking interfaces.
Medical device and pharmaceutical companies build targeted lists of specialists based on specific service offerings.
Clinics track average consultation fees for specific specialties to optimise their own pricing strategies.
"Doctoranytime holds the definitive map of private healthcare availability across Europe and Latin America, but extracting real-time slot data requires sustained infrastructure."
Extracting healthcare availability at scale is notoriously difficult. Navigating dynamic calendar widgets, regional language variations, and aggressive rate limits requires full JavaScript rendering and residential proxies. DataFlirt handles the extraction layer so your team can focus on healthcare analytics.
Everything supported by our doctoranytime.com 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. Playwright handles JavaScript rendering and API interception for dynamic calendar widgets.
We maintain pools of residential ISP proxies localised to Greece, Belgium, and Latin America to ensure uninterrupted access.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management for continuous availability tracking.
Data delivered to where your team already works — no new tooling required.
About doctoranytime.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable laws. DataFlirt extracts only public physician profiles, reviews, and availability data. We strictly prohibit the extraction of private patient medical records or authenticated booking histories. Clients must ensure their use cases comply with regional data protection regulations like GDPR.
Doctoranytime loads appointment slots dynamically. We use Playwright to simulate user interactions and intercept the underlying API responses, allowing us to extract precise availability data without relying on complex DOM parsing.
We support all official Doctoranytime domains, including Greece, Belgium, Cyprus, Mexico, Ecuador, and Colombia. Our schema normalises the data across these regions.
We can configure pipelines to run at daily, hourly, or custom intervals depending on your requirements. Change detection ensures we only push updates when slots are booked or newly opened.
Yes. We paginate through the entire review history for each physician, capturing the text, overall rating, specific sub-ratings, and the verified visit indicator.
We extract the raw text exactly as it appears on the target region domain. Translation and natural language processing must be handled downstream by your data team.
Our minimum engagement typically starts at 1,000 target physician profiles with a weekly delivery cadence. Contact us with your specific region and data volume requirements for a precise quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full dump of physician profiles or continuous tracking of appointment availability, we scope, build, and operate the pipeline. Tell us what you need.
