Jameda Scraper

This Apify actor is designed to scrape doctor information from the jameda.de website.

Features

• Search for doctors by specific specialties
• Filter doctors by city
• Collect basic information such as doctor ID, doctor name, specialty, city, region, review count, latest review date, overall rating, telemedicine availability, and access time
• Optionally collect additional information by enabling detailedAddressInfo:
  • Clinic details (name and location)
  • Complete address information (street, postal code, province)
  • Contact information (phone numbers)
  • Geographic coordinates (latitude/longitude)
  • Access directions

Usage

1. Run this actor in the Apify console.
2. Provide the desired inputs:
   • specialization: Select the specialties to scrape (multiple selections allowed)
   • city: Select the city to scrape
   • detailedAddressInfo: Enable this option to collect additional information such as clinic details, exact address, phone numbers, and geographic coordinates

Output

The actor generates a list of JSON objects containing the following information:

• doctor_id: The unique ID of the doctor
• name: The name of the doctor
• city: The city where the doctor is located
• region: The region where the doctor is located
• specialization: The specialization of the doctor
• review_count: The number of reviews the doctor has received
• overall_rating: The overall rating of the doctor
• newest_review_date: The date of the latest review
• telemedicine: Whether the doctor offers telemedicine services
• url: The URL of the doctor’s profile page
• fetch_time: The time when the data was fetched
• clinic_name: The name of the clinic where the doctor works
• province: The state/province where the doctor is located
• post_code: The postal code of the doctor's location
• street: The street address of the doctor's location
• phone_numbers: Contact phone numbers
• directions: Access instructions to the location
• latitude: Geographical latitude of the location (first address)
• longitude: Geographical longitude of the location (first address)
• all_addresses: List of all addresses associated with the doctor, each containing complete location details

Example Output

1{
2  "doctor_id": "123456",
3  "name": "Dr. Max Müller",
4  "city": "Berlin",
5  "region": "Berlin Mitte",
6  "specialization": "Dermatologie",
7  "review_count": "50",
8  "overall_rating": "4.8",
9  "newest_review_date": "2024-01-10",
10  "telemedicine": "Yes",
11  "url": "https://www.jameda.de/max-mueller/dermatologie/berlin",
12  "fetch_time": "2024-02-07T14:30:00",
13  "clinic_name": "Medizinisches Zentrum Berlin",
14  "province": "Berlin",
15  "post_code": "10117",
16  "street": "Friedrichstraße 123",
17  "phone_numbers": "+49 30 1234-5678, +49 30 8765-4321",
18  "directions": "In der Nähe von U-Bahnhof Französische Straße",
19  "latitude": 52.5200,
20  "longitude": 13.4050,
21  "all_addresses": [
22    {
23      "post_code": "10117",
24      "street": "Friedrichstraße 123",
25      "phone_numbers": "+49 30 1234-5678, +49 30 8765-4321",
26      "directions": "In der Nähe von U-Bahnhof Französische Straße",
27      "clinic_name": "Medizinisches Zentrum Berlin",
28      "province": "Berlin",
29      "latitude": 52.5200,
30      "longitude": 13.4050
31    }
32  ]
33}

This example output, filled with random data, shows the structure for a single doctor. The actual output will be a list of similar objects for all the doctors that were scraped.

Notes

• This actor uses the Scrapy framework for web scraping.
• The data collected is stored in Apify’s default data store.
• Please ensure compliance with jameda.de’s terms of use and the rules outlined in their robots.txt file.