# Zillow Property Monitor — Listings, Prices & Sold Data (`brick_joey_yto/zillow-property-monitor`) Actor

Keyless Zillow scraper: for-sale, rental, and sold listings plus full property detail — built for scheduled price-cut and status monitoring.

- **URL**: https://apify.com/brick_joey_yto/zillow-property-monitor.md
- **Developed by:** [William Billings](https://apify.com/brick_joey_yto) (community)
- **Categories:** Business, E-commerce, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 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

## Zillow Property Monitor — Listings, Prices & Sold Data

**Keyless Zillow scraper** for real-estate monitoring: for-sale listings, rentals, recently-sold comps, and full property detail — plus a `watch` mode built for scheduled price-cut and status-change tracking.

Investors, agents, and data buyers run property data on schedules. This actor was built to be the thing they schedule.

| Mode     | What it does                                                                                                         |
| -------- | -------------------------------------------------------------------------------------------------------------------- |
| `search` | City/ZIP → listing rows — zpid, address, price, status, beds/baths, sqft, days-on-market, coords                     |
| `detail` | zpid or URL → full property record — price history, zestimate/rentZestimate, MLS ID, last-sold, lot, year built, HOA |
| `watch`  | Snapshot rows per location per run — diff `price`/`status` across schedules for price-cut, pending, and sold alerts  |

**Sale, rental, AND sold listings** — `listingType` switches between `/location/`, `/location/rentals/`, and `/location/sold/` surfaces. Rental buildings emit per-unit price ranges (`priceFrom`/`priceTo`).

**No API key. No login. Pay only per row returned.**

### Why monitor Zillow?

- **Price-cut radar** — `watch` on a daily schedule → price drops and status flips surface the day they happen
- **New-listing alerts** — diff zpids across runs to catch fresh inventory in a ZIP before the crowd
- **Comp pulls** — `sold` type returns recently-sold comps with prices for underwriting
- **Rental market intel** — `for_rent` + `priceFrom/priceTo` unit ranges map a market's true rent bands
- **Portfolio watch** — `detail` on your own zpid list → zestimate, tax, price-history tracking
- **Market research** — days-on-market + price data per city for trend analysis

### How it works

The actor reads Zillow's public property pages — the same data the site serves a browser, extracted from embedded structured data. No authentication required.

### Example inputs

**For-sale listings in a city**

```json
{
  "mode": "search",
  "location": "austin-tx",
  "listingType": "for_sale",
  "maxResults": 50
}
```

**Recently sold comps**

```json
{
  "mode": "search",
  "location": "78701",
  "listingType": "sold",
  "maxResults": 40
}
```

**Full detail on specific properties** (detail pages need the proxy — search doesn't)

```json
{
  "mode": "detail",
  "properties": [
    "29365471",
    "https://www.zillow.com/homedetails/123-Main-St/88123456_zpid/"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}
```

**Multi-location daily watch (the money mode)**

```json
{
  "mode": "watch",
  "locations": ["austin-tx", "round-rock-tx", "78745"],
  "listingType": "for_sale",
  "maxResults": 80
}
```

Schedule this daily — each run emits one `listing_snapshot` row per property per location. Diff `price`, `status`, and zpid-set across runs for price cuts, pending transitions, and new listings.

### Example output

```json
{
  "recordType": "listing_snapshot",
  "zpid": "29365471",
  "address": "15205 Back Of The Moon St, Austin, TX 78734",
  "price": 475000,
  "status": "FOR_SALE",
  "beds": 3,
  "baths": 2,
  "sqft": 1800,
  "url": "https://www.zillow.com/homedetails/...",
  "scrapedAt": "2026-10-14T20:15:00+00:00"
}
```

```json
{
  "recordType": "property",
  "zpid": "29365471",
  "price": 475000,
  "zestimate": null,
  "rentZestimate": null,
  "homeType": "SINGLE_FAMILY",
  "beds": 3,
  "baths": 2,
  "sqft": 1800,
  "lotSize": 9400,
  "yearBuilt": 1966,
  "mlsId": "1265753",
  "scrapedAt": "2026-10-14T20:16:00+00:00"
}
```

### Pricing

**$0.001 per result** — a 3-location × 80-listing daily watch costs ~$0.24/day (~$7/month). Detail on 100 properties ≈ $0.10/run. Compare: real-estate data platforms and MLS exports run $50–500/month.

### Honest limits

- **`detail` mode requires the built-in proxy** (enable **Proxy configuration** — residential recommended): Zillow allows search pages from datacenter IPs but serves 403 on `/homedetails/` pages. Search and watch modes work keyless.
- Search returns the ~41 listings embedded per location page — for larger markets, run multiple locations/ZIPs rather than expecting deep pagination.
- `detail` needs a zpid or full `/homedetails/` URL. Rare fields (zestimate, tax history) are null on some records — Zillow doesn't always expose them.
- Zillow rate-limits aggressively — for heavy schedules enable **Proxy configuration**.

### FAQ

**Do I need a Zillow API key?** No — everything comes from Zillow's public listing and detail pages. No auth.

**What locations work?** City slugs (`austin-tx`, `new-york-ny`), ZIP codes (`78701`), neighborhoods, or full Zillow URLs copied from your browser — including URLs with your own filters applied.

**What does `watch` actually detect?** Each run emits snapshots with current `price` + `status` per zpid. Comparing across scheduled runs catches: price cuts (`price` ↓), pending/contingent flips (`status` change), new listings (new zpids), and delistings (zpids that vanish).

**Is it legal to scrape this data?** The actor only accesses publicly available listing pages — the same data a browser sees. Scraping public data for research, monitoring, and analysis is common practice, but platform Terms of Service and the rules in your jurisdiction still apply to how you use it. Consult legal counsel for your specific case.

### More from this developer

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***

*Not affiliated with Zillow Group. Uses publicly accessible pages — respect Zillow's Terms of Service.*

# Actor input Schema

## `mode` (type: `string`):

What to scrape

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

City slug like 'austin-tx', a ZIP like '78701', or a full Zillow search URL

## `locations` (type: `array`):

Multiple locations for watch mode — each emits listing snapshot rows

## `properties` (type: `array`):

Zillow property IDs (e.g. 29365471) or full /homedetails/ URLs

## `listingType` (type: `string`):

For-sale, for-rent, or recently sold listings

## `maxResults` (type: `integer`):

Max listings per location (1-500)

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

Optional Apify proxy — recommended for high-volume scheduled runs

## Actor input object example

```json
{
  "mode": "search",
  "listingType": "for_sale",
  "maxResults": 40
}
```

# Actor output Schema

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("brick_joey_yto/zillow-property-monitor").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("brick_joey_yto/zillow-property-monitor").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 '{}' |
apify call brick_joey_yto/zillow-property-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,brick_joey_yto/zillow-property-monitor"
        }
    }
}
```

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/jKp8bHHogh7HUAgct/builds/1ZySLrv5VG4897VxF/openapi.json