# Zillow Scraper (`rigelbytes/zillow-scraper`) Actor

Zillow property data effortlessly! Our scraper extracts pricing, location, property details, and images, helping you track real estate trends. Perfect for market research and real-time insights.

- **URL**: https://apify.com/rigelbytes/zillow-scraper.md
- **Developed by:** [Rigel Bytes](https://apify.com/rigelbytes) (community)
- **Categories:** Real estate, Lead generation, Automation
- **Stats:** 71 total users, 0 monthly users, 96.6% runs succeeded, 5 bookmarks
- **User rating**: No ratings yet

## Pricing

$20.00/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#rental-actors

## 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 Scraper by Rigel Bytes

This powerful Zillow scraper is designed to extract detailed property data including pricing, location, property details, and images from Zillow. It's ideal for real estate agents, market analysts, and investors seeking up-to-date insights into the housing market.

### Features

- Extracts **property prices**, **location details**, and **property features** such as number of rooms, size, and more.
- Retrieves **high-quality images** of the listed properties.
- Ideal for **real-time market analysis** and **historical data tracking**.
- Easy-to-use interface with customizable scraping options.

### Use Cases

- **Market Research**: Track trends in real estate prices and property availability.
- **Investment Insights**: Monitor listings for investment opportunities.
- **Real Estate Agents**: Keep track of your competition and stay updated with new listings.

### How to Use

1. Input the **Zip Code** you want to scrape.
2. Customize the scraping settings to match your needs (e.g., no. of pages, property type).
3. Run the scraper to collect the data.
4. Download the results as JSON, CSV, or view them directly in Apify.

### API Request Examples

#### Python

```shell
from apify_client import ApifyClient

## Initialize the ApifyClient with your API token
client = ApifyClient("<YOUR_API_TOKEN>")

## Prepare the Actor input
run_input = {
    "zip_code": "72076",
    "listing_type": "for_sale",
    "pages": 1,
    "all_homes": True,
    "lot_land": False,
    "apartment": False,
    "condo": False,
    "single_family": False,
    "multi_family": False,
    "townhouse": False,
    "manufactured": False,
    "apartment_or_condo": False,
}

## Run the Actor and wait for it to finish
run = client.actor("rigelbytes/zillow-scraper").call(run_input=run_input)

## Fetch and print Actor results from the run's dataset (if there are any)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

#### Node.js

```shell
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with API token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "zip_code": "72076",
    "listing_type": "sold",
    "pages": 1,
    "all_homes": true,
    "lot_land": false,
    "apartment": false,
    "condo": false,
    "single_family": false,
    "multi_family": false,
    "townhouse": false,
    "manufactured": false,
    "apartment_or_condo": false
};

(async () => {
    // Run the Actor and wait for it to finish
    const run = await client.actor("rigelbytes/zillow-scraper").call(input);

    // Fetch and print Actor results from the run's dataset (if any)
    console.log('Results from dataset');
    const { items } = await client.dataset(run.defaultDatasetId).listItems();
    items.forEach((item) => {
        console.dir(item);
    });
})();
```

#### cURL

```shell
## Set API token
API_TOKEN=<YOUR_API_TOKEN>

## Prepare Actor input
cat > input.json <<'EOF'
{
  "zip_code": "72076",
  "listing_type": "for_rent",
  "pages": 1,
  "all_homes": true,
  "lot_land": false,
  "apartment": false,
  "condo": false,
  "single_family": false,
  "multi_family": false,
  "townhouse": false,
  "manufactured": false,
  "apartment_or_condo": false
}
EOF

## Run the Actor
curl "https://api.apify.com/v2/acts/rigelbytes/zillow-scraper/runs?token=$API_TOKEN" \
  -X POST \
  -d @input.json \
  -H 'Content-Type: application/json'

```

### Output

![Output Image](https://github.com/faizanalii/apify-images/blob/main/output.png?raw=true)

```json
{
  "zpid": "441692165",
  "rawHomeStatusCd": "ForSale",
  "marketingStatusSimplifiedCd": "For Sale by Agent",
  "imgSrc": "https://photos.zillowstatic.com/fp/3aa3268688068bf0a816d72875a8c991-p_e.jpg",
  "hasImage": true,
  "detailUrl": "https://www.zillow.com/homedetails/11111-Jones-Metes-Bounds-Jacksonville-AR-72076/441692165_zpid/",
  "statusType": "FOR_SALE",
  "statusText": "Lot / Land for sale",
  "countryCurrency": "$",
  "price": "$170,000",
  "unformattedPrice": 170000,
  "address": "11111 Jones Metes Bounds, Jacksonville, AR 72076",
  "addressStreet": "11111 Jones Metes Bounds",
  "addressCity": "Jacksonville",
  "addressState": "AR",
  "addressZipcode": "72076",
  "isUndisclosedAddress": false,
  "lotAreaString": "48.62 acres",
  "latLong": {
    "latitude": 34.999207,
    "longitude": -92.22626
  },
  "isZillowOwned": false,
  "flexFieldText": "Wet weather creeks",
  "flexFieldType": "homeInsight",
  "hdpData": {
    "homeInfo": {
      "zpid": 441692165,
      "streetAddress": "11111 Jones Metes Bounds",
      "zipcode": "72076",
      "city": "Jacksonville",
      "state": "AR",
      "latitude": 34.999207,
      "longitude": -92.22626,
      "price": 170000,
      "homeType": "LOT",
      "homeStatus": "FOR_SALE",
      "daysOnZillow": 11,
      "isFeatured": false,
      "shouldHighlight": false,
      "listing_sub_type": {
        "is_FSBA": true
      },
      "isUnmappable": false,
      "isPreforeclosureAuction": false,
      "homeStatusForHDP": "FOR_SALE",
      "priceForHDP": 170000,
      "timeOnZillow": 959707000,
      "isNonOwnerOccupied": true,
      "isPremierBuilder": false,
      "isZillowOwned": false,
      "currency": "USD",
      "country": "USA",
      "lotAreaValue": 48.62,
      "lotAreaUnit": "acres",
      "isShowcaseListing": false
    }
  },
  "isSaved": false,
  "isUserClaimingOwner": false,
  "isUserConfirmedClaim": false,
  "pgapt": "ForSale",
  "sgapt": "For Sale (Broker)",
  "shouldShowZestimateAsPrice": false,
  "has3DModel": false,
  "hasVideo": false,
  "isHomeRec": false,
  "hasAdditionalAttributions": true,
  "isFeaturedListing": false,
  "isShowcaseListing": false,
  "list": true,
  "relaxed": false,
  "info3String": "https://photos.zillowstatic.com/fp/19e7bcbe73b7e6c8d48d299d96f774fd-zillow_web_48_23.jpg",
  "brokerName": "Crye-Leike REALTORS Conway",
  "carouselPhotos": [
    {
      "url": "https://photos.zillowstatic.com/fp/3aa3268688068bf0a816d72875a8c991-p_e.jpg"
    },
    {
      "url": "https://photos.zillowstatic.com/fp/852a52f7d90aa745c5f5170b5543f7e9-p_e.jpg"
    },
    {
      "url": "https://photos.zillowstatic.com/fp/7748264c82f8600ac801e54e41cb5b13-p_e.jpg"
    },
    {
      "url": "https://photos.zillowstatic.com/fp/122d5b123394edc7d797132bd1144385-p_e.jpg"
    },
    {
      "url": "https://photos.zillowstatic.com/fp/f700330316b46cdb0f0db07286d5c637-p_e.jpg"
    },
    {
      "url": "https://photos.zillowstatic.com/fp/7f6537b12990b0e4fd337d2c44a45f89-p_e.jpg"
    },
    {
      "url": "https://photos.zillowstatic.com/fp/fef437be5eff5a569faa501507156b85-p_e.jpg"
    },
    {
      "url": "https://photos.zillowstatic.com/fp/6e4aa44cce34e1ebe3919a2dc9711f34-p_e.jpg"
    },
    {
      "url": "https://photos.zillowstatic.com/fp/118584eec93f9229bd29d65f4de441d8-p_e.jpg"
    },
    {
      "url": "https://photos.zillowstatic.com/fp/e2895802f52296f5e45716c129fe5cfd-p_e.jpg"
    },
    {
      "url": "https://photos.zillowstatic.com/fp/95c875b96faec02bd230d6e5926a90e8-p_e.jpg"
    },
    {
      "url": "https://photos.zillowstatic.com/fp/ec22835ea068444cd9f1296bf3d88b11-p_e.jpg"
    },
    {
      "url": "https://photos.zillowstatic.com/fp/9fe8c693f8d9b038e8ae4d186f053b06-p_e.jpg"
    },
    {
      "url": "https://photos.zillowstatic.com/fp/1cc1021af4c404de2ee8de19e186ba04-p_e.jpg"
    },
    {
      "url": "https://photos.zillowstatic.com/fp/8e31c7ae912d2d31425aa9b894290c0b-p_e.jpg"
    },
    {
      "url": "https://photos.zillowstatic.com/fp/84431433f3e23bc8dd38f6d4f5a2b0f0-p_e.jpg"
    },
    {
      "url": "https://photos.zillowstatic.com/fp/7f6cd803341a1f33661727dfeebe94b9-p_e.jpg"
    },
    {
      "url": "https://photos.zillowstatic.com/fp/a56b1a14896ec25a40383b6c343615b8-p_e.jpg"
    }
  ]
}
```

### Requirements

- An Apify account
- Zip codes.

### Get Started Today!

To start using the Zillow Listing Scraper, follow the instructions above to configure your inputs. Join the growing community of users leveraging data for insights in the real estate market!

### About Rigel Bytes

Rigel Bytes specializes in web scraping, automation, and data analytics. We help businesses extract and leverage valuable data for informed decision-making.

### Contact Us

Ready to unlock the power of data? Reach out to us at (contact@rigelbytes.com) or [book an appointment](https://cal.com/faizanali/appointments) with us to learn more about how we can help you achieve your data goals.

# Actor input Schema

## `zip_code` (type: `string`):

Zip Code to Scrape

## `listing_type` (type: `string`):

Select Listing Type

## `pages` (type: `integer`):

Number of pages to scrape, one page returns 40 listings

## `all_homes` (type: `boolean`):

Scrape all homes

## `lot_land` (type: `boolean`):

Scrape lot land

## `apartment` (type: `boolean`):

Scrape apartment

## `condo` (type: `boolean`):

Scrape condo

## `single_family` (type: `boolean`):

Scrape single family

## `multi_family` (type: `boolean`):

Scrape multi family

## `townhouse` (type: `boolean`):

Scrape townhouse

## `manufactured` (type: `boolean`):

Scrape manufactured

## `apartment_or_condo` (type: `boolean`):

Scrape apartment or condo

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

Select proxy groups or use your custom proxies

## Actor input object example

```json
{
  "zip_code": "72076",
  "listing_type": "for_sale",
  "pages": 1,
  "all_homes": true,
  "lot_land": false,
  "apartment": false,
  "condo": false,
  "single_family": false,
  "multi_family": false,
  "townhouse": false,
  "manufactured": false,
  "apartment_or_condo": false,
  "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 = {
    "zip_code": "72076"
};

// Run the Actor and wait for it to finish
const run = await client.actor("rigelbytes/zillow-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 = { "zip_code": "72076" }

# Run the Actor and wait for it to finish
run = client.actor("rigelbytes/zillow-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 '{
  "zip_code": "72076"
}' |
apify call rigelbytes/zillow-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,rigelbytes/zillow-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/wn0GoRzRaHmUbKW57/builds/RK2FOCbBZeNQzbTam/openapi.json