# Zillow Urls Scraper (`getdataforme/zillow-urls-scraper`) Actor

Zillow Urls Scraper lets you extract detailed real estate data from Zillow, Get structured info like lot size, price history, listing agent, school data, walk/bike scores, and more. Just input the property URLs and receive clean JSON data — ideal for real estate analysis, research, or automation.

- **URL**: https://apify.com/getdataforme/zillow-urls-scraper.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** Real estate
- **Stats:** 20 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $14.00 / 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

***

## Zillow Urls Scraper

Easily scrape detailed real estate property data from individual Zillow listing URLs using this powerful actor. Perfect for market analysis, lead generation, real estate research, or bulk data collection. Just provide a list of Zillow property URLs and get structured property data in return.

***

### 🚀 How it works

The Zillow Urls Scraper takes one or more Zillow property URLs as input and extracts key information such as:

- Market availability date
- Lot size, listing price & history
- Listing agent details
- Walk and bike scores
- School assignments (with ratings and distance)
- Number of days on Zillow
- Favorite and page view counts
- And much more...

***

### 🧾 Input Example

```json
{
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    },
    "urls": [
        "https://www.zillow.com/homedetails/0-Sisk-St-Scottsboro-AL-35768/442684862_zpid/"
    ]
}
```

- `urls`: Array of Zillow listing URLs you want to scrape.
- `proxyConfiguration`: Apify proxy (residential proxy group is recommended for Zillow scraping).

***

### 📦 Output Example

```json
[
  {
    "onMarketDate": 1738175675000,
    "lotSize": "0.35 Acres",
    "specialListingConditions": "As Is",
    "communityFeatures": ["None"],
    "timeOnZillow": "106 days",
    "daysOnZillow": 106,
    "favoriteCount": 6,
    "pageViewCount": 105,
    "listedByName": "William Killough",
    "listedByPhone": "205-966-9918",
    "assignedSchools": [
      {
        "name": "Talladega Co Genesis School",
        "grades": "3-12",
        "distance": 3.9,
        "link": "https://www.greatschools.org/alabama/alpine/1367-Talladega-Co-Genesis-School/"
      }
    ],
    "walkScore": {
      "description": "Car-Dependent",
      "walkscore": 0,
      "ws_link": "https://www.walkscore.com/score/loc/lat=33.3496/lng=-86.2536"
    },
    "bikeScore": {
      "description": "Somewhat Bikeable",
      "bikescore": 26
    },
    "priceHistory": [
      {
        "date": "2025-01-29",
        "event": "Listed for sale",
        "price": 3000,
        "source": "GALMLS"
      }
    ]
  },
  ...
]
```

> The output is a JSON array where each object corresponds to the property details scraped from one Zillow URL.

***

### 🛠 Use Cases

- Real estate investment analysis
- Building a local housing market dataset
- Competitive analysis for realtors
- School ratings research near listed homes
- Zillow listing monitoring tools

***

### 📩 Support

If you need:

- A **custom output structure**
- Help with **integration**
- Found a **bug** or need enhancements

📧 Reach out to us: **<support@getdataforme.com>**
💬 Or use the [Contact Form](https://getdataforme.com/contact/)
📌 **Please include a relevant subject line** for faster support.

***

### 🔗 Related Tools

You may also like:

- [Zillow Search Results Scraper](https://apify.com/)
- [Realtor Property Scraper](https://apify.com/)
- [Walk Score Scraper](https://apify.com/)

***

Let Zillow data work for you — automate and scale your property research today with **Zillow Urls Scraper**.

***

# Actor input Schema

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

A list of URLs of the web pages you want to scrape data from.

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

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

## Actor input object example

```json
{
  "urls": [
    "https://www.zillow.com/homedetails/35-Wren-St-West-Roxbury-MA-02132/59156529_zpid/"
  ],
  "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 = {
    "urls": [
        "https://www.zillow.com/homedetails/35-Wren-St-West-Roxbury-MA-02132/59156529_zpid/"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/zillow-urls-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": ["https://www.zillow.com/homedetails/35-Wren-St-West-Roxbury-MA-02132/59156529_zpid/"],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/zillow-urls-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 '{
  "urls": [
    "https://www.zillow.com/homedetails/35-Wren-St-West-Roxbury-MA-02132/59156529_zpid/"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call getdataforme/zillow-urls-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/NZf0fNt0vw5w1suzD/builds/2dmNIyP07SCXiI7ua/openapi.json