# Zillow Search Scraper (Cheap) (`data_api/zillow-search-scraper-cheap`) Actor

Zillow property listing scraper that pulls Zestimates, rent estimates, home types, broker info, and photos from any Zillow search URL, so real estate investors and analysts can get bulk listing data without manual browsing.

- **URL**: https://apify.com/data\_api/zillow-search-scraper-cheap.md
- **Developed by:** [Data API](https://apify.com/data_api) (community)
- **Categories:** Real estate, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.99 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 Search Scraper

![Zillow Search Scraper](cover.jpg)

Browsing Zillow one search page at a time is slow, and copying numbers into a sheet by hand is worse. This scraper skips all of that. Hand it the search URLs you already use on Zillow and it returns every listing on those pages as clean rows: the Zestimate, the rent estimate, property type, living area, lot size, the broker, and a direct link back to each home. It talks to Zillow's own search endpoint, so results come back fast with no browser to wait on. Point it at one neighborhood or a stack of cities in a single run.

### What you get

Each listing becomes one row with the same set of columns every time, so the data drops straight into a spreadsheet or database. Values that Zillow does not show come back as `null` rather than disappearing, which keeps your columns lined up. Every row carries:

- **Property basics** — `propertyId`, `listingUrl`, `photoLink`, `propertyType`, `listingStatus`
- **Size and value** — `livingAreaSqft`, `lotSize`, `lotSizeUnit`, `estimatedValue`, `estimatedRent`
- **Listing source** — `brokerName`, `featuredListing`, `sourceUrl`, `collectedAt`

### Quick start

1. Hit **Try for free** and open the input form.
2. On Zillow, set your filters, then copy the link from the address bar into **Zillow search URLs**. The link has to include the `searchQueryState` part.
3. Set a **Results limit** to keep the run capped where you want it.
4. Press **Start**, then export the rows as JSON, CSV, Excel, or XML once it finishes.

![How it works](how-it-works.jpg)

### Use cases

- **Market research** — pull listings across several neighborhoods or zip codes at once instead of paging through them by hand
- **Investment analysis** — grab Zestimate and rent Zestimate figures for a batch of areas to rough out cap rates and rental yields
- **Agent lead lists** — gather broker names and listing links from your target markets for outreach
- **Inventory tracking** — schedule a daily or weekly run to watch how many homes show up in an area over time
- **Housing data stories** — collect listing data across cities for supply or price-comparison reporting
- **Portfolio checks** — follow current Zestimates for properties you own across different markets

### Input

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `searchUrls` | array of strings | Yes | Zillow search page URLs to scrape. Each link must include the `searchQueryState` parameter copied from your browser. |
| `resultsLimit` | integer | No | Cap on total listings returned across every URL. Default `500`. |
| `runTimeoutSeconds` | integer | No | Hard stop on the whole run, in seconds. Default `300`; max `3600`. |
| `timeoutSeconds` | integer | No | Per-request timeout in seconds. Default `45`; max `120`. |

#### Example input

```json
{
    "searchUrls": [
        "https://www.zillow.com/austin-tx/?searchQueryState=%7B%22regionId%22%3A10221%7D",
        "https://www.zillow.com/denver-co/?searchQueryState=%7B%22regionId%22%3A12345%7D"
    ],
    "resultsLimit": 500,
    "runTimeoutSeconds": 300,
    "timeoutSeconds": 45
}
```

### Output

Each listing on your search pages comes back as one row, and every field is always present — anything Zillow leaves out arrives as `null` so the dataset stays rectangular.

#### Example output

```json
{
    "sourceUrl": "https://www.zillow.com/austin-tx/?searchQueryState=%7B%22regionId%22%3A10221%7D",
    "propertyId": "29448729",
    "listingUrl": "https://www.zillow.com/homedetails/1207-Oak-Hollow-Dr-Austin-TX-78745/29448729_zpid/",
    "photoLink": "https://photos.zillowstatic.com/fp/abc123-p_e.jpg",
    "propertyType": "SINGLE_FAMILY",
    "listingStatus": "ForSale",
    "livingAreaSqft": 1980,
    "lotSize": 6534,
    "lotSizeUnit": "sqft",
    "estimatedValue": 615000,
    "estimatedRent": 2850,
    "brokerName": "Compass RE Texas, LLC",
    "featuredListing": false,
    "collectedAt": "2026-06-29T12:00:00.000000+00:00",
    "errorMessage": null
}
```

#### Output fields

| Field | Type | Description |
|-------|------|-------------|
| `sourceUrl` | string | The Zillow search URL this listing came from, handy for tracing which query produced which rows |
| `propertyId` | string | Zillow's property identifier (ZPID) |
| `listingUrl` | string | Direct link to the property's detail page on Zillow |
| `photoLink` | string | URL of the main listing photo |
| `propertyType` | string | Home category: SINGLE\_FAMILY, CONDO, TOWNHOUSE, MULTI\_FAMILY, and the like |
| `listingStatus` | string | Listing state: ForSale, RecentlySold, ForRent, and similar |
| `livingAreaSqft` | number | Interior living space in square feet, `null` when not shown |
| `lotSize` | number | Lot size value, `null` when not shown |
| `lotSizeUnit` | string | Unit the lot size uses, sqft or acres |
| `estimatedValue` | number | Zillow's estimated home value in USD, `null` when not shown |
| `estimatedRent` | number | Zillow's estimated monthly rent in USD, `null` when not shown |
| `brokerName` | string | Listing brokerage behind the property |
| `featuredListing` | boolean | True when Zillow flags the listing as promoted |
| `collectedAt` | string | ISO 8601 timestamp of when the row was captured |
| `errorMessage` | string | Reason a URL failed; `null` on success |

### Tips for best results

- **Use full search URLs.** The link has to carry the `searchQueryState` parameter. Run a search on Zillow, then copy the URL from the address bar — bare location links without that parameter won't return data.
- **Start with a couple of URLs.** Confirm the output fits your pipeline before you point it at a long list of cities.
- **Cap test runs with `resultsLimit`.** Keep it small while you check the columns, then raise it for the full pull.
- **Tighten the geography for more depth.** A run returns the map results for a search, so for dense areas split a wide search into smaller ones with tighter filters.
- **Give international or slow networks more room** by raising `timeoutSeconds` toward its `120` ceiling if requests start timing out.

### How can I use Zillow search data?

**How can I use the Zillow Search Scraper to compare housing markets across cities?**
Paste a Zillow search URL for each market you care about and the scraper returns every listing on those pages with its Zestimate, rent estimate, property type, and living area. Group the rows by `sourceUrl` or city to line up median values, rent levels, and inventory side by side — a quick base layer for any market-comparison project.

**How can I pull Zillow listings in bulk without copying them by hand?**
Drop in a list of Zillow search URLs and set `resultsLimit` to the number of homes you want back. Each listing comes out as one flat row with a direct `listingUrl`, so a handful of searches turns into a clean dataset you can export to CSV or Excel and hand to the rest of your workflow.

**How can I scrape Zestimate and rent data for real estate investment research?**
Point the scraper at search URLs for your target zip codes and read the `estimatedValue` and `estimatedRent` fields straight off each row. With value and rent side by side per property you can rough out cap rates and rental yields across a whole area, then drill into individual homes through the listing link.

**How can I track Zillow inventory on a schedule?**
Save your search URLs, then use Apify's scheduler to run the actor daily or weekly. Each run captures the current listings with a `collectedAt` timestamp, so you build a running record of how an area's inventory, prices, and rent estimates shift over time.

### Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses or private contact information. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the [legality of web scraping](https://blog.apify.com/is-web-scraping-legal/).

### Support

Questions, feature requests, or a field you'd like added? Reach out at <data.apify@proton.me> and we'll get back to you.

# Actor input Schema

## `searchUrls` (type: `array`):

One or more Zillow search page URLs to collect listings from. Each link must include the searchQueryState parameter (e.g. https://www.zillow.com/austin-tx/?searchQueryState=%7B%22regionId%22%3A10221%7D). Open Zillow, set your filters, then copy the link straight from your browser's address bar.

## `resultsLimit` (type: `integer`):

Ceiling on the total number of listings returned across every URL. Keep it low to hold down your spend.

## `runTimeoutSeconds` (type: `integer`):

Hard ceiling, in seconds, on the whole run. Once reached, the actor wraps up and returns whatever it has gathered so far.

## `timeoutSeconds` (type: `integer`):

How long, in seconds, to wait on a single request to Zillow before giving up on it.

## Actor input object example

```json
{
  "searchUrls": [
    "https://www.zillow.com/austin-tx/?searchQueryState=%7B%22regionId%22%3A10221%7D"
  ],
  "resultsLimit": 500,
  "runTimeoutSeconds": 300,
  "timeoutSeconds": 45
}
```

# 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 = {
    "searchUrls": [
        "https://www.zillow.com/austin-tx/?searchQueryState=%7B%22isMapVisible%22%3Atrue%2C%22mapBounds%22%3A%7B%22north%22%3A30.516%2C%22south%22%3A30.098%2C%22east%22%3A-97.561%2C%22west%22%3A-97.938%7D%2C%22filterState%22%3A%7B%22sort%22%3A%7B%22value%22%3A%22globalrelevanceex%22%7D%7D%2C%22isListVisible%22%3Atrue%2C%22usersSearchTerm%22%3A%22Austin%2C%20TX%22%2C%22mapZoom%22%3A11%7D",
        "https://www.zillow.com/denver-co/?searchQueryState=%7B%22isMapVisible%22%3Atrue%2C%22mapBounds%22%3A%7B%22north%22%3A39.914%2C%22south%22%3A39.614%2C%22east%22%3A-104.78%2C%22west%22%3A-105.11%7D%2C%22filterState%22%3A%7B%22sort%22%3A%7B%22value%22%3A%22globalrelevanceex%22%7D%7D%2C%22isListVisible%22%3Atrue%2C%22usersSearchTerm%22%3A%22Denver%2C%20CO%22%2C%22mapZoom%22%3A12%7D"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("data_api/zillow-search-scraper-cheap").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 = { "searchUrls": [
        "https://www.zillow.com/austin-tx/?searchQueryState=%7B%22isMapVisible%22%3Atrue%2C%22mapBounds%22%3A%7B%22north%22%3A30.516%2C%22south%22%3A30.098%2C%22east%22%3A-97.561%2C%22west%22%3A-97.938%7D%2C%22filterState%22%3A%7B%22sort%22%3A%7B%22value%22%3A%22globalrelevanceex%22%7D%7D%2C%22isListVisible%22%3Atrue%2C%22usersSearchTerm%22%3A%22Austin%2C%20TX%22%2C%22mapZoom%22%3A11%7D",
        "https://www.zillow.com/denver-co/?searchQueryState=%7B%22isMapVisible%22%3Atrue%2C%22mapBounds%22%3A%7B%22north%22%3A39.914%2C%22south%22%3A39.614%2C%22east%22%3A-104.78%2C%22west%22%3A-105.11%7D%2C%22filterState%22%3A%7B%22sort%22%3A%7B%22value%22%3A%22globalrelevanceex%22%7D%7D%2C%22isListVisible%22%3Atrue%2C%22usersSearchTerm%22%3A%22Denver%2C%20CO%22%2C%22mapZoom%22%3A12%7D",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("data_api/zillow-search-scraper-cheap").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 '{
  "searchUrls": [
    "https://www.zillow.com/austin-tx/?searchQueryState=%7B%22isMapVisible%22%3Atrue%2C%22mapBounds%22%3A%7B%22north%22%3A30.516%2C%22south%22%3A30.098%2C%22east%22%3A-97.561%2C%22west%22%3A-97.938%7D%2C%22filterState%22%3A%7B%22sort%22%3A%7B%22value%22%3A%22globalrelevanceex%22%7D%7D%2C%22isListVisible%22%3Atrue%2C%22usersSearchTerm%22%3A%22Austin%2C%20TX%22%2C%22mapZoom%22%3A11%7D",
    "https://www.zillow.com/denver-co/?searchQueryState=%7B%22isMapVisible%22%3Atrue%2C%22mapBounds%22%3A%7B%22north%22%3A39.914%2C%22south%22%3A39.614%2C%22east%22%3A-104.78%2C%22west%22%3A-105.11%7D%2C%22filterState%22%3A%7B%22sort%22%3A%7B%22value%22%3A%22globalrelevanceex%22%7D%7D%2C%22isListVisible%22%3Atrue%2C%22usersSearchTerm%22%3A%22Denver%2C%20CO%22%2C%22mapZoom%22%3A12%7D"
  ]
}' |
apify call data_api/zillow-search-scraper-cheap --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,data_api/zillow-search-scraper-cheap"
        }
    }
}

```

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/BDoklViluGTqs0HhI/builds/dyvOrCmlNY7DdKAXN/openapi.json
