
Doctoralia Data Extractor - scrape doctor data
Pay $10.00 for 1,000 results
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Doctoralia Data Extractor - scrape doctor data
Pay $10.00 for 1,000 results
Doctoralia Data Extractor will extract detailed information on healthcare professionals from Doctoralia. Ideal for market research, lead generation, and data analysis in the healthcare sector.
Actor Metrics
14 monthly users
1.0 / 5 (1)
1 bookmark
98% runs succeeded
Created in Jun 2024
Modified 7 hours ago
Apify Scraper for Doctoralia
Overview
The Apify Scraper for Doctoralia is a powerful tool designed to extract detailed data about health professionals listed on Doctoralia. It is particularly useful for data analysis, market research, and digital marketing in the healthcare sector. This scraper supports multiple countries, including Spain, Argentina, Chile, Peru, and Colombia.
Input Parameters
The scraper requires the following inputs:
- Country: The country from which to extract data (Spain, Argentina, Chile, Peru, Colombia).
- City: The city from which to extract data.
- Professions: A list of medical professions to filter the results.
Output Format
The scraper generates a JSON file containing detailed information for each doctor, with the following fields:
- city: The city where the doctor is located.
- doctor_name: The name of the doctor.
- address: The practice address.
- latitude: The latitude coordinates of the practice.
- longitude: The longitude coordinates of the practice.
- image_url: The URL of the doctor's profile image.
- phone_number: The phone number(s) of the doctor.
- website: The doctor's official website (if available).
- link: The URL of the doctor's profile on Doctoralia.
- specializations: A list of the doctor’s specializations.
- opening_hours: The working hours categorized by day of the week.
- services: A list of services offered by the doctor, including prices where available.
- service_options: Additional service options, if any.
- doctors: Other associated doctors (if applicable).
- insurances: A list of insurance providers accepted by the doctor.
- insurance_types: The types of insurance plans accepted.
Example Output
1[ 2 { 3 "city": "Morón de la Frontera", 4 "doctor_name": "M Carmen Rodríguez Álvarez", 5 "address": "Espiritu Santo, 35, Morón de la Frontera", 6 "latitude": "37.1194", 7 "longitude": "-5.4574871", 8 "image_url": "https://s3-eu-west-1.amazonaws.com/doctoralia.es/doctor/72adb9/72adb9312b2644bcda3e285e24530de7_medium_square.jpg", 9 "phone_number": ["34 45983982"], 10 "website": null, 11 "link": "https://www.doctoralia.es/m-carmen-rodriguez-alvarez/psicologo/estepa", 12 "specializations": [ 13 "Trastornos del Comportamiento Alimentario", 14 "Trastornos en Niños y Adolescentes" 15 ], 16 "opening_hours": { 17 "Monday": ["8:00", "16:00"], 18 "Tuesday": ["8:00", "16:00"], 19 "Wednesday": ["8:00", "16:00"], 20 "Thursday": ["8:00", "16:00"], 21 "Friday": ["8:00", "16:00"], 22 "Saturday": ["8:00", "16:00"], 23 "Sunday": [] 24 }, 25 "services": [ 26 { "service": "Primera visita Psicología", "price": "Desde 40 €" }, 27 { "service": "Consulta online", "price": "40 €" } 28 ], 29 "service_options": [], 30 "doctors": [], 31 "insurances": [], 32 "insurance_types": [] 33 } 34]
Usage Notes
- Ensure compliance with Doctoralia's Terms of Service before scraping data.
- The scraper's behavior can be customized by modifying the scraping logic in
main.js
. - For support or issues, contact the developer at [contact details].
This tool is ideal for those looking to collect structured healthcare data efficiently while ensuring compliance with ethical data extraction practices.