# Zoopla Scraper (`datascrapers/zoopla-scraper`) Actor

Extract property data from Zoopla.co.uk with ease. Get comprehensive property listings including images, prices, locations, sizes, and more — perfect for real estate market research, price monitoring, or property analysis. Use for $3/1000 listings.

- **URL**: https://apify.com/datascrapers/zoopla-scraper.md
- **Developed by:** [Data Scrapers](https://apify.com/datascrapers) (community)
- **Categories:** Real estate, Lead generation, News
- **Features:** Limited permissions
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $11.43 / 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 Scraper** creates a structured dataset of property listing records collected from Zoopla.co.uk. Each dataset item can include the property address, title, price (amount, frequency, and currency), image and gallery, bedroom and bathroom counts, size, property type, tenure, key features, and listing URL. Query the source using one or more Zoopla search URLs, control the result limit with `maxListings`, and retrieve records through the Apify Dataset API or export them as JSON, CSV, Excel, or XML.

### Dataset at a glance

| Property | Value |
|---|---|
| Source | zoopla.co.uk |
| Record unit | One property listing |
| Input methods | Search URLs |
| Main identifiers | `id`, `propertyUrl` |
| Delivery | Apify Dataset and API |
| Export formats | JSON, CSV, Excel, XML |
| Update model | Fresh records per Actor run |
| Pricing | Pay per event, $10 per 1,000 listings |

### Coverage and available records

The Actor starts from one or more Zoopla search URLs and returns one record per property listing, including residential and commercial results. `maxListings` caps the number of listings per URL and resets for each URL in the list. A US residential proxy is used by default.

### Data dictionary

| Field | Type | Nullable | Description | Example |
|---|---:|---|---|---|
| `id` | integer | No | Property ID | `136625822` |
| `displayAddress` | string | Yes | Display address | `6 Duke Street St. James's, London, SW1Y 6BN` |
| `summary` | string | Yes | Listing summary | `Newly fitted office space...` |
| `title` | string | Yes | Listing title/heading | `Featured Property` |
| `bedrooms` | integer | Yes | Number of bedrooms | `0` |
| `bathrooms` | integer | Yes | Number of bathrooms | — |
| `numberOfImages` | integer | Yes | Image count | `11` |
| `price` | object | Yes | Price object (`amount`, `frequency`, `currencyCode`, `displayPrices`) | `{ "amount": 19241, "currencyCode": "GBP" }` |
| `location` | object | Yes | Coordinates (`latitude`, `longitude`) | `{ "latitude": 51.5, "longitude": -0.13 }` |
| `imageUrl` | string | Yes | Primary image URL | `https://media...jpeg` |
| `images` | array | Yes | Image objects (`srcUrl`, `url`, `caption`) | `[...]` |
| `propertyUrl` | string | Yes | Listing URL | `https://www.zoopla.co.uk/properties/136625822` |
| `propertySubType` | string | Yes | Property sub-type | `Office` |
| `propertyTypeFullDescription` | string | Yes | Full property type | `Office` |
| `tenure` | object | Yes | Tenure (`tenureType`) | `{ "tenureType": "LEASEHOLD" }` |
| `transactionType` | string | Yes | `rent` or `sale` | `rent` |
| `firstVisibleDate` | string | Yes | First published date | `2023-06-27T13:28:52Z` |
| `keyFeatures` | array | Yes | Key feature objects (`description`) | `[{"description": "Fully Fitted"}]` |
| `countryCode` | string | Yes | Country code | `GB` |

### Example dataset record

```json
{
  "id": 136625822,
  "bedrooms": 0,
  "bathrooms": null,
  "summary": "Newly fitted office space available on ground and 1st floors.",
  "displayAddress": "6 Duke Street St. James's, London, SW1Y 6BN",
  "countryCode": "GB",
  "location": { "latitude": 51.507105, "longitude": -0.137131 },
  "propertySubType": "Office",
  "price": {
    "amount": 19241,
    "frequency": "monthly",
    "currencyCode": "GBP"
  },
  "transactionType": "rent",
  "propertyUrl": "https://www.zoopla.co.uk/properties/136625822",
  "firstVisibleDate": "2023-06-27T13:28:52Z",
  "imageUrl": "https://media.zoopla.co.uk/dir/crop/property-photo/...jpeg"
}
```

The record above was produced by the input in the next section: a search for properties in London.

### Query and input reference

| Input | Type | Required | Default | Accepted values | Description |
|---|---:|---|---|---|---|
| `urls` | array | Yes | — | Zoopla search URLs | Listing search URLs to scrape |
| `maxListings` | integer | No | `0` | `0` = unlimited | Maximum listings per URL (resets for each URL) |
| `proxyConfiguration` | object | No | US residential | Apify proxy settings | Proxy configuration |

Minimal request:

```json
{
  "urls": [
    { "url": "https://www.zoopla.co.uk/for-sale/property/london/?q=London&search_source=for-sale" }
  ]
}
```

Advanced request:

```json
{
  "urls": [
    { "url": "https://www.zoopla.co.uk/for-sale/property/london/?q=London&search_source=for-sale" }
  ],
  "maxListings": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}
```

### Retrieve the data through the API

1. Start the Actor with a JSON input containing at least one `urls` entry.
2. Wait for the run to finish.
3. Read records from the run's default dataset.
4. Paginate or export the dataset.

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("datascrapers/zoopla-scraper").call(
    run_input={
        "urls": [{"url": "https://www.zoopla.co.uk/for-sale/property/london/?q=London&search_source=for-sale"}],
        "maxListings": 100,
    }
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("id"), item.get("displayAddress"), item.get("price"))
```

Apify's generated API tab documents the equivalent calls for other languages.

### Data quality and record handling

- **Completeness** — most fields are optional; `id` is always present.
- **Source changes** — pricing and availability reflect the response at scrape time.
- **Deduplication** — the Actor does not deduplicate across runs; use `id` as the stable key.
- **Retry/error behavior** — listings that cannot be resolved are skipped; the run continues.
- **Normalization** — `price` is an object with amount, frequency, and currency; dates are ISO 8601.

### Export and pipeline examples

| Destination | Recommended method | Typical use |
|---|---|---|
| PostgreSQL/Supabase | Dataset API or webhook consumer | Property market analysis |
| Google Sheets | Apify integration | Price monitoring |
| S3/cloud storage | Scheduled export or integration | Listing snapshots |

### Pricing and cost examples

Billing is **pay per event**: each listing record pushed to the dataset is one charge. Platform compute is included in the actor usage fee.

| Records | Estimated base cost |
|---:|---:|
| 1,000 | $10.00 |
| 10,000 | $100.00 |
| 100,000 | $1,000.00 |

Estimates depend on the verified pricing model and the number of listings you request.

### Limitations and responsible data use

- Only publicly accessible Zoopla listing data is returned.
- Prices and availability change frequently and reflect the moment of collection.
- Fields may be missing or conditional depending on the listing.
- No historical snapshots are stored unless you keep them yourself.
- You are responsible for complying with Zoopla's terms and applicable laws.

### Dataset questions

#### What does one dataset item represent?

One property listing.

#### Which field should I use as a unique identifier?

Use `id`, the property identifier.

#### Are fields nullable or conditional?

Yes. Only `id` is always present; price, location, and other fields are conditional.

#### Can I retrieve the records as CSV or JSON?

Yes. Export the default dataset as JSON, CSV, Excel, or XML, or read it through the Apify Dataset API.

#### How do I paginate large datasets?

Set `maxListings` per URL, or paginate the dataset through the Dataset API.

#### What counts as a billable result?

Each listing record pushed to the dataset is one event charge.

### Related datasets from Data Scrapers

- **[Rightmove Scraper](https://apify.com/datascrapers/rightmove-scraper)** — UK property listings for the same market analysis.
- **[Idealista Scraper](https://apify.com/datascrapers/idealista-scraper)** — European property records that join with Zoopla data for cross-market comparison.
- **[Realtor Scraper](https://apify.com/datascrapers/realtor-scraper)** — US property records for broader real estate datasets.
- **[Immobilienscout24 Scraper](https://apify.com/datascrapers/immobilienscout24-scraper)** — German property listings for adjacent European markets.

### Data Scrapers support

Need an additional field, record type, or export workflow? Contact Data Scrapers at stardustspotlight@gmail.com. Include a sample source URL, required fields, expected record volume, and preferred delivery format.

# Actor input Schema

## `urls` (type: `array`):

List of Zoopla property listing URLs to scrape. Each URL should be a valid Zoopla search URL.

## `maxListings` (type: `integer`):

Maximum number of property listings to scrape per URL. Set to 0 for unlimited. Note: This limit resets for each URL in the list.

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

Select proxy groups or use your custom proxies

## Actor input object example

```json
{
  "urls": [
    {
      "url": "https://www.zoopla.co.uk/for-sale/property/london/?q=London&search_source=for-sale"
    }
  ],
  "maxListings": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# Actor output Schema

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

Property listings scraped from Rightmove

# 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 = {
    "urls": [
        {
            "url": "https://www.zoopla.co.uk/for-sale/property/london/?q=London&search_source=for-sale"
        }
    ],
    "maxListings": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("datascrapers/zoopla-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 = {
    "urls": [{ "url": "https://www.zoopla.co.uk/for-sale/property/london/?q=London&search_source=for-sale" }],
    "maxListings": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("datascrapers/zoopla-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 '{
  "urls": [
    {
      "url": "https://www.zoopla.co.uk/for-sale/property/london/?q=London&search_source=for-sale"
    }
  ],
  "maxListings": 100
}' |
apify call datascrapers/zoopla-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datascrapers/zoopla-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/rkbbXEWCsQlsYii2b/builds/uGKohXIWJ4C5vYsjf/openapi.json