Doctoralia Data Extractor - scrape doctor data avatar

Doctoralia Data Extractor - scrape doctor data

Under maintenance
Try for free

Pay $10.00 for 1,000 results

Go to Store
This Actor is under maintenance.

This Actor may be unreliable while under maintenance. Would you like to try a similar Actor instead?

See alternative Actors
Doctoralia Data Extractor - scrape doctor data

Doctoralia Data Extractor - scrape doctor data

giovannibiancia/doctoralia
Try for free

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.

Developer
Maintained by Community

Actor Metrics

  • 14 monthly users

  • 1.0 / 5 (1)

  • 1 bookmark

  • 98% runs succeeded

  • Created in Jun 2024

  • Modified 7 hours ago

Categories

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.