Universal Real Estate Extractor

Universal Real Estate Extractor is a flexible, production-grade web scraper designed to extract structured real estate data from property listing websites. It supports CSS selector extraction, automatic selector detection, Playwright-based rendering, and pagination crawling.

This Actor is ideal for:

• Market analysis and research
• Lead generation pipelines
• Real estate investment scouting
• Property monitoring and alerts
• Business intelligence workflows

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Features

Multi-site compatibility

Works with any listing/search URL.
You can configure the Actor using:

• A listing selector (listing_selector)
• A detail field map (detail_fields)
• Optional pagination selector (pagination_selector)

Automatic listing selector detection

If you leave listing_selector empty, the Actor will try a set of common patterns for real estate listing cards. This makes it easier to start quickly on new websites.

Pagination support

If you provide a pagination_selector, the Actor will follow the "next" button or link until:

• The maximum number of listings is reached, or
• No further page is found

Playwright-powered rendering

The Actor uses Playwright to render JavaScript-heavy sites. This helps with:

• Modern real estate portals
• Lazy-loaded listings
• Client-side rendering frameworks

Clean, flat, structured output

The Actor writes normalized data into the Apify dataset.
Default fields include:

• url
• title
• price
• address
• beds
• baths
• area
• timestamp

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Input

Example input (JSON tab)

{
  "start_urls": ["https://www.zillow.com/san-jose-ca/"],
  "listing_selector": "",
  "detail_fields": {
    "title": "h1.ds-address-container",
    "price": "span.ds-value",
    "address": "h1.ds-address-container"
  },
  "pagination_selector": "",
  "max_listings": 50,
  "use_playwright": true,
  "save_html_snapshot": false,
  "save_screenshot": false
}

Field descriptions:
start_urls (required)
List of listing or search URLs where the Actor should start.

listing_selector (optional)
CSS selector used to locate individual listing links on the start pages.
If empty, the Actor will try common patterns automatically.

detail_fields (optional)
JSON object mapping field names to CSS selectors on the detail page.
Example: "price": "span.ds-value".

pagination_selector (optional)
CSS selector for the “next page” button or link.

max_listings (optional, default: 100)
Maximum number of listings to scrape before the Actor stops.

use_playwright (required, default: true)
Enables Playwright browser automation for JavaScript-heavy websites.

save_html_snapshot (optional, default: false)
If true, saves an HTML snapshot of each detail page to the key-value store.

save_screenshot (optional, default: false)
If true, saves a full-page screenshot of each detail page.

Output

Each item in the dataset contains normalized property data.
Typical fields:
{
  "url": "https://www.zillow.com/homedetails/123-Main-St-San-Jose-CA-95112/12345678_zpid/",
  "title": "123 Main St, San Jose, CA 95112",
  "price": "$1,250,000",
  "address": "123 Main St, San Jose, CA 95112",
  "beds": "3",
  "baths": "2",
  "area": "1,450 sqft",
  "timestamp": "2025-12-05T06:11:30.000Z"
}

You can download results as:

JSON

CSV

Excel

Or access them via the Apify API

Notes

Some real estate websites may block bots or preview requests. This can affect URL previews inside the Apify UI but does not affect the Actor’s functionality.

If a site has a different structure, you can adjust listing_selector and detail_fields to match its HTML.

Support and customization

If you need help adapting this Actor for a specific real estate website, workflow, or integration, you can contact the developer for custom configurations or private extensions.