# Vietnam Dental Clinic Lead Scraper with Emails (`obliging_persimmon_cki/vietnam-dental-clinic-lead-scraper`) Actor

Scrape dental clinic leads from Google Maps in Vietnam and extract emails when available.

- **URL**: https://apify.com/obliging_persimmon_cki/vietnam-dental-clinic-lead-scraper.md
- **Developed by:** [Dung Huynh](https://apify.com/obliging_persimmon_cki) (community)
- **Categories:** Lead generation, Automation, Developer tools
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## 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

## Vietnam Dental Clinic Lead Scraper with Emails

This Actor searches Google Maps for dental clinics in Vietnam, extracts business details, and attempts to find email addresses from available websites. It is useful for dental suppliers, clinic software companies, B2B sales teams, and marketing agencies.

This Actor extracts business information such as name, category, rating, address, phone number, website, email, and Google Maps URL.

### Features

- Scrape Google Maps business search results

- Extract business name, category, rating, address, phone number and website

- Extract emails from business websites

- Deduplicate repeated Google Maps results

- Add `hasEmail`, `leadScore` and `leadQuality`

- Support custom keyword and location

- Support parallel processing

### Input

```json
{


  "keyword": "dental clinic",
  "location": "Ho Chi Minh",
  "maxResults": 20,
  "batchSize": 5,
  "extractEmails": true,
  "useApifyProxy": false

}
```

### Input fields

| Field | Type | Description |
|---|---|---|

| `keyword` | string | Search keyword for dental clinics |
| `location` | string | Target city or area, for example `Ho Chi Minh` or `Ho Chi Minh` |
| `maxResults` | integer | Maximum number of businesses to scrape |

| `batchSize` | integer | Number of business detail pages processed in parallel |
| `extractEmails` | boolean | Whether to extract email addresses from business websites |

| `useApifyProxy` | boolean | Whether to use Apify Proxy for browser requests |

### Output

```json
{
  "keyword": "dental clinic",
  "location": "Ho Chi Minh",
  "name": "Example dental clinic",
  "rating": "4.5",
  "category": "dental clinic",
  "address": "Ho Chi Minh, Vietnam",
  "website": "https://example.com",
  "phone": "+84 123 456 789",
  "email": "info@example.com",
  "emails": ["info@example.com"],
  "hasEmail": true,
  "leadScore": 95,
  "leadQuality": "high",
  "googleMapsUrl": "https://www.google.com/maps/place/..."
}
```

### Output fields

| Field | Type | Description |
|---|---|---|
| `keyword` | string | Keyword used to find the lead |
| `location` | string | Location used in the search |
| `name` | string | Business name |
| `rating` | string or null | Google Maps rating |
| `category` | string or null | Business category |
| `address` | string or null | Business address |
| `website` | string or null | Business website URL |
| `phone` | string or null | Business phone number |
| `email` | string or null | First extracted email address |
| `emails` | array | All extracted email addresses |
| `hasEmail` | boolean | Whether at least one email was found |
| `leadScore` | integer | Contact completeness score from 0 to 100 |
| `leadQuality` | string | `high`, `medium` or `low` based on lead score |
| `googleMapsUrl` | string | Google Maps business URL |

### Notes

Email extraction depends on whether the business website publicly displays an email address.

Some businesses may not have a website or may block automated browser access.

Runtime and cost depend on result limits, website loading speed, and whether email extraction is enabled.

### Recommended use cases

- Lead generation
- Local business research
- Sales prospecting
- Market research
- Building contact lists
- Finding businesses with websites and public contact emails

### Example search

```json
{


  "keyword": "dental clinic",
  "location": "Ho Chi Minh",
  "maxResults": 20

}
```

# Actor input Schema

## `location` (type: `string`):

Target city or area.

## `keyword` (type: `string`):

Search keyword for dental clinics.

## `maxResults` (type: `integer`):

Maximum number of Google Maps results to scrape.

## `batchSize` (type: `integer`):

Number of business detail pages processed in parallel.

## `extractEmails` (type: `boolean`):

Whether to extract email addresses from business websites.

## `useApifyProxy` (type: `boolean`):

Whether to use Apify Proxy for browser requests.

## Actor input object example

```json
{
  "location": "Ho Chi Minh",
  "keyword": "dental clinic",
  "maxResults": 20,
  "batchSize": 5,
  "extractEmails": true,
  "useApifyProxy": false
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

# 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("obliging_persimmon_cki/vietnam-dental-clinic-lead-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("obliging_persimmon_cki/vietnam-dental-clinic-lead-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 '{}' |
apify call obliging_persimmon_cki/vietnam-dental-clinic-lead-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,obliging_persimmon_cki/vietnam-dental-clinic-lead-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/gqguYWs44dPI5B7zs/builds/Fpz7w0dQJWANM6s6K/openapi.json