# Zocdoc Search Parser Spider (`getdataforme/zocdoc-search-parser-spider`) Actor

This Apify Actor scrapes Zocdoc's search results to extract comprehensive healthcare provider data, including ratings, specialties, locations, and contacts. Key features include flexible searches, robust error handling, scalable performance, and structured JSON output....

- **URL**: https://apify.com/getdataforme/zocdoc-search-parser-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Agents, E-commerce
- **Stats:** 36 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 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

## Zocdoc Search Parser Spider

### Introduction

The Zocdoc Search Parser Spider is a powerful Apify Actor designed to scrape and extract detailed provider information from Zocdoc's search results. It enables users to gather comprehensive data on healthcare providers, including ratings, specialties, locations, and contact details, making it an essential tool for healthcare research and analysis. By automating the extraction process, this Actor saves time and ensures accurate, up-to-date information from Zocdoc's platform.

### Features

- **Comprehensive Data Extraction**: Retrieves detailed provider profiles, including names, ratings, specialties, locations, and contact information.
- **Flexible Search Options**: Supports location-based and keyword-based searches to target specific regions or specialties.
- **High Reliability**: Built with robust error handling to ensure consistent data retrieval even from dynamic web pages.
- **Scalable Performance**: Optimized for handling large search results efficiently, with support for pagination and rate limiting.
- **Structured Output**: Delivers clean, JSON-formatted data ready for integration into databases, analytics tools, or reports.
- **Privacy-Compliant**: Adheres to web scraping best practices and respects Zocdoc's terms of service.
- **Easy Integration**: Seamlessly integrates with Apify's ecosystem for scheduling, monitoring, and exporting data.

### Input Parameters

| Parameter     | Type   | Required | Description                                                                 | Example          |
|---------------|--------|----------|-----------------------------------------------------------------------------|------------------|
| Location      | string | No       | The geographic location to search for providers (e.g., city, state, or zip). | e.g., "Seattle, WA" |
| SearchKeyword | string | No       | The keyword to filter providers by specialty or name (e.g., "dermatologist"). | "Dermatologist"  |

### Example Usage

#### Input Example

```json
{
  "Location": "Seattle, WA",
  "SearchKeyword": "Dermatologist"
}
```

#### Output Example

```json
[
  {
    "provider_id": "pr_-Oyf3N9yeE6MNLlyfpmA1B",
    "provider_monolith_id": "453990",
    "name": "Dr. Nithin Reddy, MD, FAAD",
    "first_name": "Nithin",
    "last_name": "Reddy",
    "rating": 4.8343373493975905,
    "bedside_rating": 4.859205776173285,
    "wait_time_rating": 4.833935018050542,
    "can_have_appointments": true,
    "review_count": 332,
    "representative_review": {
      "comment": "Dr. Reddy listened to my concerns and recommendations and allowed me to play an active role in decisions regarding my care and treatment.",
      "patientName": "KC",
      "date": "",
      "__typename": "Review"
    },
    "profile_url": "https://www.zocdoc.com//doctor/nithin-reddy-md-faad-453990",
    "relevant_specialty": "Dermatologist",
    "specialties": ["Dermatologist"],
    "location_id": "lo_ARJcz3GpDkqGt67fRsDSeB",
    "city": "Broaddus",
    "state": "TX",
    "zip": "75929",
    "phone": "(917) 382-0901",
    "latitude": 31.30685459999999,
    "longitude": -94.26908759999999,
    "is_virtual": true,
    "virtual_visit_type": "ThirdPartyVideoVisit",
    "practice_name": "Tono Health",
    "practice_url": "https://www.zocdoc.com//practice/tono-health-87193",
    "accepts_insurance": false,
    "distance_miles": 334.801890496237,
    "search_result_id": "a1a4d6cc-bc26-4891-9bcd-3236ec2aab88",
    "top_spo_practice_message": null,
    "top_spo_practice_tooltip": null,
    "insurance_settings": {
      "acceptsInNetwork": true,
      "acceptsOutOfNetwork": false,
      "acceptsSelfPay": false,
      "__typename": "InsuranceSettings"
    },
    "is_hybrid": false,
    "actor_id": "4q2pFmMvME53AGLpL",
    "run_id": "1hQ5uCQEQnMMx2INi"
  }
]
```

### Use Cases

- **Market Research**: Analyze provider distribution and specialties in specific regions for healthcare market insights.
- **Competitive Intelligence**: Track ratings and reviews of competitors to benchmark performance.
- **Price Monitoring**: Identify providers accepting insurance or offering virtual visits for cost-effective options.
- **Content Aggregation**: Build databases of healthcare providers for directories or recommendation engines.
- **Academic Research**: Gather data on provider demographics and patient feedback for studies.
- **Business Automation**: Automate lead generation for healthcare marketing or recruitment agencies.

### Installation and Usage

1. Search for "Zocdoc Search Parser Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

### Output Format

The Actor outputs a JSON array of provider objects, each containing fields like provider\_id, name, rating, specialties, location details (city, state, zip, latitude, longitude), contact info (phone), and additional metadata such as insurance settings and virtual visit options. Key fields include ratings (overall, bedside, wait time), review count, and URLs for profiles and practices, ensuring comprehensive data for analysis.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!

***

# Actor input Schema

## `Location` (type: `string`):

The location for the spider.

## `SearchKeyword` (type: `string`):

The search keyword for the spider.

## Actor input object example

```json
{
  "Location": "Texas"
}
```

# 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("getdataforme/zocdoc-search-parser-spider").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("getdataforme/zocdoc-search-parser-spider").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 getdataforme/zocdoc-search-parser-spider --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/zocdoc-search-parser-spider"
        }
    }
}

```

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/4q2pFmMvME53AGLpL/builds/g6RgizrjF3Seumhnh/openapi.json