Doctoralia & Docplanner Doctor Directory Scraper

Scrape doctor profiles across the Doctoralia / Docplanner network — Brazil, Spain, Mexico, Colombia, Chile, Peru, Poland (Znanylekarz), Italy (MioDottore), Germany (Jameda), Turkey (Doktortakvimi) and Czechia (ZnamyLekar). Returns names, specialties, license numbers, per-service prices, accepted insurance plans, languages, ratings, and clinic addresses from one dataset, one input schema, across all 11 country brands.

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Doctoralia & Docplanner Scraper Features

• Crawls all 11 Docplanner-network country domains from a single run — pick one country or all of them.
• Extracts per-service prices, not just specialty and rating. Most directory scrapers stop at name and address.
• Returns accepted insurance plans per doctor, where the profile publishes them.
• Collects academic education and professional experience history alongside the basic profile fields.
• Normalizes ratings, review counts, and languages spoken into consistent fields across every country's locale.
• Flags likely telehealth/online-consultation doctors by parsing the published service list.
• Resumes automatically from a resumeCursor if a large run stops partway through.

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Who Uses Doctoralia and Docplanner Doctor Data?

• Healthcare marketing agencies — build prospect lists of practices by specialty and city, then pitch website or ad services.
• Payer and insurtech analysts — cross-reference which insurance plans a given specialty or region's doctors actually accept.
• Medtech and pharma commercial teams — segment prescribers and specialists by geography and treatment focus for territory planning.
• Market researchers — size a country's specialist supply per capita, or compare service pricing across cities.
• Directory and comparison sites — license structured doctor data instead of maintaining their own listings.

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How the Doctoralia & Docplanner Scraper Works

1. Pick one or more countries (or leave the field empty to cover all 11).
2. The scraper reads each selected country's public sitemap to find every doctor profile URL — no search-page pagination involved.
3. Each profile page is parsed for name, specialties, license number, services and prices, insurance, languages, addresses, and ratings.
4. Results land in your dataset as the run progresses; a large crawl can be resumed later without re-paying for records you already have.

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Input

{
  "countries": ["br", "de"],
  "maxItems": 500
}

Field	Type	Default	Description
countries	array of string	all 11	Country domains to crawl: br, es, mx, co, cl, pe, pl, it, de, tr, cz. Leave empty to crawl every country.
maxItems	integer	10	Maximum number of doctor profiles to return, across all selected countries.
resumeCursor	string	—	Continue a previous run from where it stopped. See "Resuming a large crawl" below.

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Doctoralia & Docplanner Scraper Output Fields

{
  "country": "br",
  "domain": "doctoralia.com.br",
  "profile_url": "https://www.doctoralia.com.br/alline-gomes-goncalves-fagundes/medico-de-familia-geriatra/belo-horizonte",
  "doctor_id": "747722",
  "full_name": "Alline Gomes Gonçalves Fagundes",
  "title_prefix": "Dra.",
  "specialties": ["Médico de família", "Geriatra"],
  "subspecialties": [],
  "license_number": "",
  "profile_photo_url": "https://s3-sa-east-1.amazonaws.com/doctoralia.com.br/doctor/d5f6f8/d5f6f8f1e7ca2a3d952f88a0290ef977_220_square.jpg",
  "about_text": "",
  "services": ["Consulta geriatria — Sob consulta", "Teleconsulta — Sob consulta"],
  "insurances_accepted": [],
  "languages": [],
  "addresses": ["CDC - Centro de Diagnóstico Cardiológico BH, Avenida Carandaí 149, Santa Efigênia, Belo Horizonte, Minas Gerais MG, 30130-064"],
  "facility_ids": ["989425"],
  "phone": "",
  "online_consultation": true,
  "rating_average": 5,
  "rating_count": 2,
  "opinion_count": 2,
  "education": ["Faculdade Ciências Médicas de Minas Gerais"],
  "experience": ["Hospital Odilon Behrens"],
  "awards": [],
  "scraped_at": "2026-09-20T15:21:35.255Z"
}

Field	Type	Description
country	string	ISO-2 country code the profile was crawled from
domain	string	Docplanner-network host the row came from
profile_url	string	Canonical profile URL
doctor_id	string	Internal doctor id where available, else the profile URL's slug
full_name	string	Doctor's full name
title_prefix	string	Professional title (Dr. / Dra. / Prof.) where Docplanner renders it separately
specialties	array	Medical specialties listed on the profile
subspecialties	array	Additional areas of focus, where published
license_number	string	Medical license / registration number, where published
profile_photo_url	string	Doctor's profile photo URL
about_text	string	Doctor's self-written bio, where published
services	array	Services offered, formatted as "Service name — price or price note"
insurances_accepted	array	Health insurance plans the doctor accepts, where published
languages	array	Languages the doctor consults in
addresses	array	Practice addresses, formatted as facility, street, district, city, region, postal code
facility_ids	array	Internal facility ids referenced on the profile
phone	string	Practice phone number, where published directly on the page
online_consultation	boolean	True when a listed service indicates online/telehealth consultations
rating_average	number	Average patient rating (1-5), where the profile has published reviews
rating_count	integer	Number of ratings behind rating_average
opinion_count	integer	Number of written patient reviews
education	array	Academic education entries, where published
experience	array	Professional experience entries, where published
awards	array	Docplanner quality badges shown on the profile
scraped_at	string	ISO-8601 timestamp when the record was scraped

Many of the richer fields — services, addresses, insurance, education, experience, ratings — are only as complete as the doctor's own profile. A doctor who hasn't filled in a bio or a price list will return an empty array for that field rather than a guess.

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Resuming a large crawl

Every run emits a resumeCursor in its Output. If a large crawl stops before it finishes — because it hit maxItems, your spend cap (maxTotalChargeUsd), or was aborted — start a new run with the same input plus that resumeCursor to continue from where it left off. The crawl resumes from the queued work the previous run didn't reach.

• You are not re-charged for records the earlier run already delivered.
• Resume within your account's run-retention window — on the free tier, roughly your 10 most recent runs. Once the source run is pruned, its resumeCursor is no longer valid.
• resumeCursor is opaque — supply it unmodified.

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FAQ

Which countries does this scraper cover?

Brazil, Spain, Mexico, Colombia, Chile, and Peru (all Doctoralia brands), plus Poland (Znanylekarz), Italy (MioDottore), Germany (Jameda), Turkey (Doktortakvimi), and Czechia (ZnamyLekar) — the full Docplanner network as published today.

Does this include clinic/facility profiles, or only individual doctors?

Individual doctor profiles only. Clinic and facility listings use a different page structure on the Docplanner network and aren't covered by this actor.

Why are some fields empty for certain doctors?

Docplanner profiles are self-published by each doctor. A doctor who hasn't listed a price, an insurance plan, or a bio will show an empty field rather than a fabricated value.

Can I search by specialty or city?

Not directly as an input filter — the scraper crawls entire country sitemaps. Filter the resulting dataset by the specialties or addresses fields after the run completes.

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Need More Features?

Need clinic/facility profiles, specialty filtering, or a country not listed above? File an issue or get in touch.

Why Use This Scraper Instead of a Single-Country One?

• Covers the whole network, not one brand. Doctoralia, Jameda, MioDottore, and Znanylekarz all run on the same underlying platform — one input schema replaces stitching together several single-country scrapers.
• Pulls fields the commodity scrapers skip. Per-service prices and accepted insurance plans live on the profile page, not the search listing — most directory scrapers never fetch that far.
• One schema across every country. Field names and types stay identical whether the row came from Brazil or Germany, so downstream pipelines don't need per-country branches.