# Znamylekar Scraper (`giovannibiancia/znamylekar-scraper`) Actor

Extract detailed info from znamylekar.cz: names, addresses, specialties, coordinates, images, and profile links. Ideal for directories, medical trends analysis, and app integration. Easy setup on Apify platform. Outputs structured JSON format.

- **URL**: https://apify.com/giovannibiancia/znamylekar-scraper.md
- **Developed by:** [Giovanni Bianciardi](https://apify.com/giovannibiancia) (community)
- **Categories:** Automation, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $30.00 / 1,000 doctor details

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Apify Scraper for znamylekar.cz (Czechia Only)

### 💡 Before you run this scraper

<p align="center">
  <a href="https://bananalitycs.com/datasets?utm_actor=znamylekar" target="_blank">
    <img src="https://bananalitycs.com/banana_thinking.png" width="180"/>
  </a>
</p>

<p align="center">
  Some datasets like this one are already available <strong>ready-to-use</strong> on
  <a href="https://bananalitycs.com/datasets?utm_actor=znamylekar"><strong>bananalitycs.com</strong></a> — download instantly or request custom delivery.
</p>

<p align="center">
  <a href="https://bananalitycs.com/datasets?utm_actor=znamylekar" target="_blank">
    <img src="https://img.shields.io/badge/🗂️%20Browse%20Datasets-bananalitycs.com-4CAF50?style=for-the-badge"/>
  </a>
  &nbsp;
  <a href="https://bananalitycs.com/done-for-you?utm_actor=znamylekar" target="_blank">
    <img src="https://img.shields.io/badge/🤝%20Done%20For%20You-Custom%20Delivery-6C63FF?style=for-the-badge"/>
  </a>
</p>

### Overview

The **Apify Scraper for znamylekar.cz** is a powerful tool designed to extract detailed data about **health professionals** listed on **znamylekar.cz**, the leading medical directory in czechia.
This version of the scraper is fully customized to work **exclusively with the Italian market**.

It is ideal for:

- Healthcare market analysis
- Competitive research
- Building healthcare databases
- Lead generation and digital marketing
- Price and service comparisons

***

### Input Parameters

The scraper requires the following inputs:

- **Country**: Pre-set to **czechia**.
- **City**: The Italian city from which to extract data.
- **Professions**: A list of medical professions to filter the results (e.g. *dentist, dermatologist, cardiologist*).

***

### Output Format

The scraper generates a structured **JSON** output for each doctor, containing:

- **city** – City where the doctor is located
- **doctor_name** – Doctor’s full name
- **address** – Practice address
- **latitude / longitude** – Geo-coordinates
- **image_url** – Profile image URL
- **phone_number** – One or more phone numbers
- **website** – Official website (if available)
- **link** – URL to the znamylekar.cz profile
- **specializations** – List of medical specialties
- **opening_hours** – Work hours organized by weekday
- **services** – Services offered, with prices when available
- **service_options** – Additional service options (if any)
- **doctors** – Other professionals associated with the practice
- **insurances** – Accepted insurance providers
- **insurance_types** – Accepted insurance plan types

***

### Example Output

```json
[
    {
        "city": "Istanbul",
        "doctor_name": "Example Doctor",
        "address": "Example Street 123, Istanbul",
        "latitude": "41.0082",
        "longitude": "28.9784",
        "image_url": "https://doktor-profile-example.jpg",
        "phone_number": ["90 555 123 4567"],
        "website": null,
        "link": "https://www.znamylekar.cz.com/example-doctor",
        "specializations": [
            "Example Specialization 1",
            "Example Specialization 2"
        ],
        "opening_hours": {
            "Monday": ["8:00", "16:00"],
            "Tuesday": ["8:00", "16:00"],
            "Wednesday": ["8:00", "16:00"],
            "Thursday": ["8:00", "16:00"],
            "Friday": ["8:00", "16:00"],
            "Saturday": ["8:00", "16:00"],
            "Sunday": []
        },
        "services": [
            { "service": "First Consultation", "price": "From 500 ₺" },
            { "service": "Online Consultation", "price": "500 ₺" }
        ],
        "service_options": [],
        "doctors": [],
        "insurances": [],
        "insurance_types": []
    }
]
```

***

### Usage Notes

- Ensure compliance with **znamylekar.cz’s Terms of Service** before scraping any data.
- You can modify the scraping logic by editing the `main.js` file.
- For questions or issues, please contact the project maintainer.

***

### Disclaimer

This tool is intended for **ethical data extraction only**.
Always follow local legal regulations, Apify platform policies, and znamylekar.cz’s usage rules.

***

# Actor input Schema

## `professions` (type: `array`):

Select one or more professions.

## `cities` (type: `array`):

Enter the cities for scraping, separated by commas.

## `include_slots` (type: `boolean`):

Get appointment slots

## `additional_info` (type: `boolean`):

Get additional info from doctor html page

## `days_ahead` (type: `integer`):

N° of days to get appointment slots

## Actor input object example

```json
{
  "professions": [
    "ortoped"
  ],
  "cities": [
    "liberec"
  ],
  "days_ahead": 30
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "professions": [
        "ortoped"
    ],
    "cities": [
        "liberec"
    ],
    "include_slots": false,
    "additional_info": false,
    "days_ahead": 30
};

// Run the Actor and wait for it to finish
const run = await client.actor("giovannibiancia/znamylekar-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "professions": ["ortoped"],
    "cities": ["liberec"],
    "include_slots": False,
    "additional_info": False,
    "days_ahead": 30,
}

# Run the Actor and wait for it to finish
run = client.actor("giovannibiancia/znamylekar-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "professions": [
    "ortoped"
  ],
  "cities": [
    "liberec"
  ],
  "include_slots": false,
  "additional_info": false,
  "days_ahead": 30
}' |
apify call giovannibiancia/znamylekar-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,giovannibiancia/znamylekar-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/wpD54DjrkwfWiEeJL/builds/4lk8Gn3OLGM8UgLd4/openapi.json