Doctoralia Data Extractor - scrape doctor data avatar

Doctoralia Data Extractor - scrape doctor data

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Pay $5.00 for 1,000 results

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Doctoralia Data Extractor - scrape doctor data

Doctoralia Data Extractor - scrape doctor data

giovannibiancia/doctoralia
Try for free

Pay $5.00 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.

You can access the Doctoralia Data Extractor - scrape doctor data programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "country": "Spain",
10    "professions": ["Dentista"],
11    "city": ["Madrid"],
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("giovannibiancia/doctoralia").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20    print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Doctoralia Data Extractor - scrape doctor data API in Python

The Apify API client for Python is the official library that allows you to use Doctoralia Data Extractor - scrape doctor data API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community
Actor metrics
  • 5 monthly users
  • 1 star
  • 97.7% runs succeeded
  • Created in Jun 2024
  • Modified 22 days ago