# Doximity Doctor Scraper (`moving_beacon-owner1/doximity-doctor-scraper`) Actor

Collects physician profiles from Doximity's public directory by **specialty or US location**, providing names, credentials, specialties, affiliations, addresses, phone numbers, education, certifications, awards, and profile URLs.

- **URL**: https://apify.com/moving\_beacon-owner1/doximity-doctor-scraper.md
- **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.99 / 1,000 results

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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Doximity Doctor Scraper

Collects physician records from Doximity's public directory and returns one flat record per doctor. Browse by medical specialty (nationwide) or by US state and city, and optionally pull each doctor's full public profile — credentials, affiliation, practice address, phone, education, board certifications and awards.

### Input

| Field | Default | Description |
| --- | --- | --- |
| `search_mode` | `specialty` | `specialty` browses one medical specialty nationwide; `location` browses a US state/city across all specialties. |
| `specialty` | `cardiology` | Specialty for `specialty` mode, e.g. `Cardiology`, `Dermatology`, `Obstetrics & Gynecology`. |
| `state` | `pennsylvania` | State for `location` mode, e.g. `Pennsylvania`, `New York`. |
| `city` | `pittsburgh` | City for `location` mode. Leave empty to walk every city in the state. |
| `fetch_profiles` | `true` | Fetch each doctor's profile page for full details. Disable for a fast name + profile URL list. |
| `limit` | `20` | Maximum number of doctors to return (1–500). |
| `proxyConfiguration` | Optional | Enable a US-based proxy for the most reliable results. |

### Output

Each result is one doctor:

```json
{
    "name": "Mark Aaron, MD",
    "first_name": "Mark",
    "last_name": "Aaron",
    "credentials": "MD",
    "description": "Mark Aaron, MD, is a cardiologist in Nashville, TN, specializing in heart failure and transplantation.",
    "specialty": "Cardiology",
    "focus_areas": "Heart Failure & Transplantation",
    "affiliation": "Chief Medical Officer, Ascension Saint Thomas Medical Partners",
    "city": "Nashville",
    "state": "TN",
    "address": "4230 Harding Pike, Ste 330, Nashville, TN 37205",
    "phone": "+1 615-269-4545",
    "fax": "+1 615-565-6789",
    "latitude": 36.12759,
    "longitude": -86.84365,
    "education": [
        { "name": "Duke University School of Medicine", "detail": "Class of 1992" }
    ],
    "certifications": [
        { "name": "American Board of Internal Medicine", "detail": "Cardiovascular Disease" }
    ],
    "awards": [],
    "image_url": "https://doximity-res.cloudinary.com/images/...jpg",
    "profile_uuid": "7f3ae697-6a62-4890-9d3a-8b3a6b6a6ebd",
    "profile_url": "https://www.doximity.com/pub/mark-aaron-md",
    "raw": { ... }
}
```

### Notes

- Runs with empty input (defaults to 20 cardiologists with full profile details).
- Enable a US-based proxy for the most reliable results.
- Field availability varies by doctor — only what each public profile lists is returned. Intended for research use; please respect Doximity's terms of service.

# Actor input Schema

## `search_mode` (type: `string`):

'specialty' browses the nationwide directory for one medical specialty. 'location' browses a US state/city directory across all specialties.

## `specialty` (type: `string`):

Specialty to browse in 'specialty' mode, e.g. 'Cardiology', 'Dermatology', 'Family Medicine', 'Orthopaedic Surgery', 'Obstetrics & Gynecology'. Ignored in 'location' mode.

## `state` (type: `string`):

State to browse in 'location' mode, e.g. 'Pennsylvania', 'New York', 'California'. Ignored in 'specialty' mode.

## `city` (type: `string`):

City within the state for 'location' mode, e.g. 'Pittsburgh'. Leave empty to walk every city in the state. Ignored in 'specialty' mode.

## `fetch_profiles` (type: `boolean`):

When enabled, each doctor's profile page is fetched for full details (specialty, affiliation, address, phone, education, certifications). When disabled, only name and profile URL are returned — much faster for large lists.

## `limit` (type: `integer`):

Maximum number of doctors to return. Directory pages list 50 doctors each; with full profiles enabled each doctor costs one extra page fetch.

## `proxyConfiguration` (type: `object`):

Proxy settings for the run. Enable a US-based proxy for the most reliable results, especially for sites that limit non-US or datacenter traffic. Optional — leave off to run directly.

## Actor input object example

```json
{
  "search_mode": "specialty",
  "specialty": "cardiology",
  "state": "pennsylvania",
  "city": "pittsburgh",
  "fetch_profiles": true,
  "limit": 20,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `results` (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 = {
    "search_mode": "specialty",
    "specialty": "cardiology",
    "state": "pennsylvania",
    "city": "pittsburgh",
    "fetch_profiles": true,
    "limit": 20,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("moving_beacon-owner1/doximity-doctor-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 = {
    "search_mode": "specialty",
    "specialty": "cardiology",
    "state": "pennsylvania",
    "city": "pittsburgh",
    "fetch_profiles": True,
    "limit": 20,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("moving_beacon-owner1/doximity-doctor-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 '{
  "search_mode": "specialty",
  "specialty": "cardiology",
  "state": "pennsylvania",
  "city": "pittsburgh",
  "fetch_profiles": true,
  "limit": 20,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call moving_beacon-owner1/doximity-doctor-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,moving_beacon-owner1/doximity-doctor-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/v80ShomjAHPEIJoyB/builds/ph4yOxa4rcfllxrA4/openapi.json