# Doctor Data Merger (`muhammetakkurtt/doctor-data-merger`) Actor

This actor is ideal for researchers, healthcare analysts, or anyone needing to combine doctor profiles with patient feedback for comprehensive analysis.

- **URL**: https://apify.com/muhammetakkurtt/doctor-data-merger.md
- **Developed by:** [Muhammet Akkurt](https://apify.com/muhammetakkurtt) (community)
- **Categories:** Automation, Developer tools
- **Stats:** 11 total users, 0 monthly users, 100.0% runs succeeded, 2 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.15 / 1,000 doctors

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

### Doctor Data Merger

This actor is designed to merge the outputs of two specific Apify actors:

- [Doktortakvimi Scraper](https://apify.com/muhammetakkurtt/doktortakvimi-scraper)
- [Doktortakvimi Reviews Scraper](https://apify.com/muhammetakkurtt/doktortakvimi-reviews-scraper)
- [ZnamyLekar Scraper](https://apify.com/muhammetakkurtt/znamylekar-scraper)
- [ZnamyLekar Reviews Scraper](https://apify.com/muhammetakkurtt/znamylekar-reviews-scraper)
- [ZnanyLekarz Scraper](https://apify.com/muhammetakkurtt/znanylekarz-scraper)
- [ZnanyLekarz Reviews Scraper](https://apify.com/muhammetakkurtt/znanylekarz-reviews-scraper)
- [Jameda Scraper](https://apify.com/muhammetakkurtt/jameda-scraper)
- [Jameda Reviews Scraper](https://apify.com/muhammetakkurtt/jameda-reviews-scraper)
- [Doctoralia Brazil Scraper](https://apify.com/muhammetakkurtt/doctoralia-brazil-scraper)
- [Doctoralia Brazil Reviews Scraper](https://apify.com/muhammetakkurtt/doctoralia-brazil-reviews-scraper)

It combines the doctor information obtained from the first actor with the reviews collected by the second actor, creating a comprehensive dataset.

### Input

The actor expects two input parameters:

- `doctorInfoDatasetId`: ID of the dataset containing doctor information
- `doctorReviewsDatasetId`: ID of the dataset containing doctor reviews

### Output

The actor saves the merged data to a new dataset. Each output item contains the following fields:

- doctor_id
- name
- city
- region
- specialization
- review_count
- overall_rating
- newest_review_date
- telemedicine
- url
- fetch_time
- review_rating
- review_text
- review_date

### Usage

1. Run this actor in the Apify console.
2. Provide the `doctorInfoDatasetId` and `doctorReviewsDatasetId` values as input.
3. After the actor completes its run, you can find the merged data in the default dataset.
   Note: Make sure to run both the Doktortakvimi Scraper and Doktortakvimi Reviews Scraper actors before using this merger actor. Use the dataset IDs from those runs as inputs for this actor.

### Notes

- This actor only merges data for doctors who have reviews.
- Line breaks in review texts are replaced with a single space.

# Actor input Schema

## `doctorInfoDatasetId` (type: `string`):

ID of the data set containing doctor information

## `doctorReviewsDatasetId` (type: `string`):

ID of the dataset containing doctor's comments

## Actor input object example

```json
{}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("muhammetakkurtt/doctor-data-merger").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("muhammetakkurtt/doctor-data-merger").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 '{}' |
apify call muhammetakkurtt/doctor-data-merger --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,muhammetakkurtt/doctor-data-merger"
        }
    }
}
```

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/zir3BA9N1HaUoU6Hl/builds/p6QZlhhdXYmyPsju7/openapi.json