# Zoopla Search Properties Bulk Scraper Pro (`hello.datawizards/zoopla-search-properties-bulk-scraper-pro`) Actor

Zoopla Search Properties Bulk Scraper Pro: Scrape Zoopla property listings with ease. Extract detailed data like address, price, agent info, and images by location and filters. Ideal for real estate analysis. Use Apify Proxy for reliable results. Get structured JSON outputs for market research.

- **URL**: https://apify.com/hello.datawizards/zoopla-search-properties-bulk-scraper-pro.md
- **Developed by:** [datawizards](https://apify.com/hello.datawizards) (community)
- **Categories:** Real estate, Automation, Lead generation
- **Stats:** 8 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$10.00 / 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?

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

### 🏠 Zoopla Search Properties Bulk Scraper Pro

Effortlessly scrape property listings from Zoopla with the **Zoopla Search Properties Bulk Scraper Pro**. This Apify Actor enables you to extract detailed property data based on location, price range, and property specifications. Perfect for real estate analysis, market research, or property investment tracking, it delivers structured JSON outputs with key details like address, price, agent info, and more.

> ⚠️ **Note:** Activate **Apify Proxy** to ensure reliable scraping and avoid potential blocks. Running without a proxy may lead to incomplete data or scraping failures.

***

### 🚀 How This Zoopla Scraper Works

- Rent the **Zoopla Search Properties Bulk Scraper Pro** for fast access to Zoopla property listings.
- Specify a **`location`** (e.g., "London") to target properties in a specific area.
- Set **`price_min`**, **`price_max`**, and **`price_step`** to filter properties by price range.
- Define **`beds_min`**, **`beds_max`**, **`baths_min`**, and **`baths_max`** to filter by bedroom and bathroom counts.
- Enable **Apify Proxy** under `proxyConfiguration` to ensure uninterrupted scraping.
- Receive clean, structured JSON results ready for analysis, automation, or reporting.

***

### 🧾 Input Configuration

Below is a sample input configuration to get started:

```json
{
  "location": "london",
  "price_min": 10,
  "price_max": 10000,
  "price_step": 80000,
  "baths_max": 5,
  "baths_min": 1,
  "beds_max": 5,
  "beds_min": 1,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

***

### 📦 Output Sample

Upon successful execution, the scraper returns an array of property listings with details such as:

- Property address
- Agent name and contact phone
- Number of bedrooms, bathrooms, and living rooms
- Price and price label
- Property tags (e.g., "Retirement", "Leasehold")
- Image URLs
- Geographic coordinates (latitude, longitude)
- Property title

```json
[
  {
    "address": "Mount Hermon Road, Woking, Surrey GU22",
    "agent_name": "Martin & Co Woking",
    "agent_phone": "01483 665508",
    "bedrooms": 1,
    "bathrooms": 1,
    "living_rooms": 1,
    "price": 65000,
    "price_label": "£65,000",
    "tags": [
      "Retirement",
      "Leasehold"
    ],
    "images": [
      "https://lid.zoocdn.com/645/430/78d1d75aeac3cc9b49a59765ba954093344837e9.jpg",
      "https://lid.zoocdn.com/645/430/c9e230f12431aeed17e12d78dd935fc8c5b80398.jpg",
      "https://lid.zoocdn.com/645/430/09b7abc4ba33fc720f67d414cbc14b40e1351c1d.jpg",
      "https://lid.zoocdn.com/645/430/04a04bcdc7e4f71645400f371c3c549f2e3bbdca.jpg",
      "https://lid.zoocdn.com/645/430/b36078594704544cedccd1b4dab49f0654c09987.jpg",
      "https://lid.zoocdn.com/645/430/aece17c3398830d10c7cbc61c3da4650535205bf.png"
    ],
    "latitude": 51.313098,
    "longitude": -0.562231,
    "title": "1 bed flat for sale"
  },
  {
    "address": "Norton Court, High Street South, Dunstable LU6",
    "agent_name": "Penrose Estate Agents",
    "agent_phone": "01234 671624",
    "bedrooms": 1,
    "bathrooms": 1,
    "living_rooms": 1,
    "price": 60000,
    "price_label": "£60,000",
    "tags": [
      "Leasehold"
    ],
    "images": [
      "https://lid.zoocdn.com/645/430/8761f5989115fbde57148cafc5f29bc7cc93cd76.jpg",
      "https://lid.zoocdn.com/645/430/29832bacc336104827cde362225e0cf564a58384.jpg",
      "https://lid.zoocdn.com/645/430/df5dace68d184deb06785f6db702341e9b700560.jpg",
      "https://lid.zoocdn.com/645/430/cc2eb4b2b84865f60c3390f88b4a9402059fb763.jpg",
      "https://lid.zoocdn.com/645/430/ab08c169345ac7f195191a23347aae2fb45b1cc8.jpg"
    ],
    "latitude": 51.884379,
    "longitude": -0.520405,
    "title": "1 bed flat for sale"
  }
]
```

***

### 📌 Use Cases

- Real estate market analysis
- Property investment research
- Price and feature comparison across locations
- Agent and property listing monitoring
- Geographic property trend analysis

***

### 📞 Support

For custom configurations, simplified outputs, or to report issues, please contact:

📧 **<hello.datawizard@gmail.com>**\
🔗 [Connect on LinkedIn](https://www.linkedin.com/in/data-wizards-aa8080342)

> 💡 **Tip:** Include the subject **“Zoopla Scraper Support Request”** in your email for faster assistance.

# Actor input Schema

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

The query term to search for location.

## `price_min` (type: `integer`):

The minimum price of items to scrape.

## `price_max` (type: `integer`):

The maximum price of items to scrape.

## `price_step` (type: `integer`):

Price step for each range.

## `baths_max` (type: `integer`):

The maximum number of bathrooms.

## `baths_min` (type: `integer`):

The minimum number of bathrooms.

## `beds_max` (type: `integer`):

The maximum number of bedrooms.

## `beds_min` (type: `integer`):

The minimum number of bedrooms.

## `itemLimit` (type: `integer`):

The 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
{
  "location": "london",
  "price_min": 10,
  "price_max": 5000,
  "price_step": 5000,
  "baths_max": 5,
  "baths_min": 1,
  "beds_max": 5,
  "beds_min": 1,
  "itemLimit": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("hello.datawizards/zoopla-search-properties-bulk-scraper-pro").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 = { "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    } }

# Run the Actor and wait for it to finish
run = client.actor("hello.datawizards/zoopla-search-properties-bulk-scraper-pro").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 '{
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call hello.datawizards/zoopla-search-properties-bulk-scraper-pro --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hello.datawizards/zoopla-search-properties-bulk-scraper-pro"
        }
    }
}
```

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/IIAIV4tp59RaUAqLF/builds/o6zLbnSFwccpBvJzv/openapi.json