Trulia Property Extractor

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A Trulia scraper that pulls real estate listings from city and neighborhood search pages. Returns structured JSON with addresses, prices, bed/bath counts, square footage, property type, GPS coordinates, listing photos, open house schedules, and more.

Pass one or more Trulia search URLs and the actor pages through results automatically. Each URL is scraped independently up to your configured item limit, so two cities at 200 items each gives you up to 400 listings in one run.

What you get

For every listing the actor returns:

• Full property address with city, state, ZIP, and GPS coordinates
• Asking price as both an integer and formatted string
• Bedroom count, bathroom count, floor area, and lot size
• Property type: single family, condo, townhouse, multi-family, land, etc.
• Listing status: active for sale, active for rent, recently sold, off-market, or foreclosure
• Primary listing photo and all available photo URLs
• Full property description text
• Date first listed
• Scheduled open houses with date, start time, and end time
• Listing URL on Trulia

Input

maxItems applies per URL independently. With two URLs and maxItems: 200, the actor collects up to 400 listings total.

Example — single city:

{
"searchUrls":["https://www.trulia.com/TX/Austin/"],
"maxItems":200
}

Example — multiple cities:

{
"searchUrls":[
"https://www.trulia.com/TX/Austin/",
"https://www.trulia.com/CA/Los_Angeles/",
"https://www.trulia.com/NY/New_York/"
],
"maxItems":500
}

Output fields

Example output record:

{
"streetAddress":"1212 Guadalupe St #704",
"city":"Austin",
"stateCode":"TX",
"zipCode":"78701",
"fullAddress":"1212 Guadalupe St #704, Austin, TX 78701",
"latitude":30.275978,
"longitude":-97.744095,
"price":325000,
"formattedPrice":"$325,000",
"currencyCode":"USD",
"bedrooms":1,
"bathrooms":1,
"sqft":"469 sqft",
"lotSize":null,
"propertyType":"CONDO",
"isActiveForSale":true,
"isActiveForRent":false,
"isRecentlySold":false,
"isOffMarket":false,
"isForeclosure":false,
"listingUrl":"https://www.trulia.com/home/1212-guadalupe-st-704-austin-tx-78701-29387349",
"heroImageUrl":"https://www.trulia.com/pictures/thumbs_4/zillowstatic/fp/2bfd9f420ad909ab93654a0ee041166b-full.jpg",
"photoUrls":[
"https://www.trulia.com/pictures/thumbs_4/zillowstatic/fp/2bfd9f420ad909ab93654a0ee041166b-full.jpg",
"https://www.trulia.com/pictures/thumbs_4/zillowstatic/fp/42c1afb36db27101c435739b4b06b246-full.jpg"
],
"tags":["NEW - 2 MIN AGO"],
"listingDescription":"This condo is located at 1212 Guadalupe St #704, Austin, TX 78701...",
"dateListed":null,
"openHouses":[
{
"date":"Saturday, June 14",
"startHour":"2PM",
"endHour":"4PM"
}
],
"sourceUrl":"https://www.trulia.com/TX/Austin/",
"scrapedAt":"2026-06-11T10:00:00+00:00"
}

Search URL formats

The actor accepts Trulia city-level and neighborhood search pages. The URL pattern is:

https://www.trulia.com/{STATE_CODE}/{CITY_NAME}/

State codes are 2-letter abbreviations. City names use underscores for spaces.

The actor normalizes URLs automatically. You can omit https://, www., or the trailing slash and it will still work.

Individual property listing URLs (e.g. /home/...) are not supported.

Pagination

Trulia shows up to 40 listings per page. The actor fetches pages in order until it hits your maxItems limit or runs out of listings for that URL. There is no separate page limit to configure.

With maxItems: 200, the actor fetches 5 pages (40 listings each) per URL. With a city that has only 75 listings, it stops after 2 pages.

Tips

• To scrape rentals, use Trulia rental search URLs (e.g. https://www.trulia.com/for_rent/Austin,TX/).
• To scrape foreclosures, use Trulia's foreclosure search URLs (e.g. https://www.trulia.com/TX/Austin/FORECLOSURE/).
• Set maxItems to 1000 to collect the largest available sample from a city in one run.
• The tags field shows time-sensitive labels like "NEW - 2 MIN AGO" or "OPEN SUN" that reflect listing freshness at scrape time.
• The sourceUrl field on each record tells you which search URL produced it, useful when scraping multiple cities.

Use cases

• Collect asking prices across cities and run them through a pricing model to flag undervalued properties.
• Pull daily snapshots of a target city, compare with previous runs, and alert on new listings.
• Filter photoUrls to download listing images for computer vision or training datasets.
• Combine latitude and longitude with mapping tools to visualize listing density by neighborhood.
• Extract openHouses across multiple cities to build a weekly open house calendar for buyers.