# Propertyshark Discovery Scraper (`getdataforme/propertyshark-discovery-scraper`) Actor

Camoufox Playwright Crawler TypeScript is a robust web scraping tool for extracting detailed property data using the Playwright framework....

- **URL**: https://apify.com/getdataforme/propertyshark-discovery-scraper.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 7 total users, 0 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/platform/actors/running/actors-in-store#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

## Camoufox Playwright Crawler TypeScript

### Introduction

The Camoufox Playwright Crawler TypeScript is a powerful web scraping tool designed to extract detailed property data from various online sources. Utilizing the robust Playwright framework, this Actor ensures high-quality data collection with precision and efficiency, making it an essential tool for real estate professionals and data analysts.

### Features

- **Advanced Web Scraping**: Leverages Playwright for efficient and reliable data extraction.
- **Customizable Queries**: Tailor your search with specific keywords to get the most relevant data.
- **Proxy Support**: Integrated proxy configuration to maintain anonymity and bypass geo-restrictions.
- **Scalable Data Collection**: Capable of handling large volumes of data with ease.
- **High Data Accuracy**: Ensures the integrity and accuracy of the extracted information.
- **User-Friendly Interface**: Simple setup and configuration for quick deployment.
- **Flexible Output Formats**: Export data in JSON, CSV, or Excel formats for easy integration.

### Input Parameters

| Parameter           | Type     | Required | Description                                                                 | Example                      |
|---------------------|----------|----------|-----------------------------------------------------------------------------|------------------------------|
| `searchQuery`       | String   | Yes      | Enter the search keywords to define the scope of the data extraction.       | "New York City, NY"          |
| `maxItems`          | Integer  | No       | Maximum number of items to scrape.                                          | 100                          |
| `proxyConfiguration`| Object   | No       | Specifies proxy servers to be used by the scraper to hide its origin.       | `{ "useApifyProxy": true }`  |

### Example Usage

#### Example Input

```json
{
  "searchQuery": "New York City, NY",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}
```

#### Example Output

```json
[
  {
    "address": "1040 60th St",
    "borough_name": "Brooklyn",
    "building_class_name": "Four Families",
    "lat": "40.6320153640464",
    "lng": "-74.0043037798231",
    "market_value": "819000",
    "tax_amount": "16554.31876",
    "yr_built": "1920",
    "zip": "11219"
  }
]
```

### Use Cases

- **Market Research and Analysis**: Gather comprehensive property data for market trends.
- **Competitive Intelligence**: Monitor competitor properties and pricing strategies.
- **Price Monitoring**: Track property price changes over time.
- **Content Aggregation**: Compile real estate listings for content platforms.
- **Academic Research**: Collect data for urban development studies.
- **Business Automation**: Automate data collection for real estate agencies.

### Installation and Usage

1. Search for "Camoufox Playwright Crawler TypeScript" 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 output is a JSON array where each object contains detailed property information such as address, borough name, building class, latitude, longitude, market value, tax amount, year built, and zip code. This structured format allows for easy data manipulation and 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

## `searchQuery` (type: `string`):

Enter the Search Keywords

## `maxItems` (type: `integer`):

Maximum number of items to scrape.

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

Specifies proxy servers that will be used by the scraper in order to hide its origin.

## Actor input object example

```json
{
  "searchQuery": "New York City, NY",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# 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 = {
    "searchQuery": "New York City, NY",
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "US"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/propertyshark-discovery-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 = {
    "searchQuery": "New York City, NY",
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "US",
    },
}

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

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

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

```

## CLI example

```bash
echo '{
  "searchQuery": "New York City, NY",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}' |
apify call getdataforme/propertyshark-discovery-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=getdataforme/propertyshark-discovery-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/MT646bzrMBrq7kNtj/builds/WhxfWoghFS3v8RDYz/openapi.json