Trulia Property Scraper

Trulia keeps its listings locked behind an infinite-scroll search page and no download button, so copying out addresses and prices by hand falls apart the moment you need more than a handful. Paste a city or neighborhood search URL and this scraper reads the listings straight off the page: the street address, the asking price both as a number and as Trulia prints it, beds, baths, floor area, property type, GPS coordinates, photos, open house times, and the listing link. Give it one city or a stack of them and let it page through automatically.

What you get

Every listing comes back as one row with the same shape, so the columns line up cleanly when you load the results into a sheet or database. The fields break down into a few groups:

• Location — propertyAddress, cityName, stateAbbr, postalCode, fullLocation, plus geoLat and geoLng
• Price — askingPrice as a number, priceLabel as printed, and priceCurrency
• Property details — bedroomCount, bathroomCount, floorArea, lotArea, homeType
• Status — forSale, forRent, recentlySold, offMarket, foreclosure, and statusLabels
• Media and context — coverPhoto, photoLinks, listingSummary, listedDate, openHouseSlots, detailUrl, searchSource, collectedAt

Quick start

1. Press Try for free and open the input form.
2. Paste one or more Trulia search URLs into Trulia search pages (city or neighborhood pages work).
3. Set Listings per search page to cap how many homes you pull from each URL.
4. Press Start, then export your results as JSON, CSV, Excel, or XML when the run finishes.

Use cases

• Market research — pull asking prices across cities and feed them into a pricing model to flag homes that look underpriced.
• Daily monitoring — snapshot a target city each day, diff against yesterday, and catch new listings the moment they post.
• Image datasets — grab photoLinks to download listing photos for computer vision work or training data.
• Mapping — pair geoLat and geoLng with mapping tools to see where listings cluster by neighborhood.
• Open house planning — collect openHouseSlots across several cities and roll them into one weekend calendar for buyers.
• Lead lists for agents — filter by homeType and price to build a focused list of properties worth a call.

Input

Field	Type	Required	Description
searchPageUrls	array of strings	Yes	Trulia city or neighborhood search URLs. Each one is paged through on its own.
resultsLimit	integer	No	How many listings to gather per search URL (Trulia shows about 40 per page). Default 50.
timeoutSeconds	integer	No	Seconds to wait on a request before giving up. Default 90; raise it on slow connections.

Example input

{
  "searchPageUrls": [
    "https://www.trulia.com/CA/San_Diego/",
    "https://www.trulia.com/FL/Tampa/"
  ],
  "resultsLimit": 50,
  "timeoutSeconds": 90
}

Output

Each listing becomes one row, and every field above is present on every row — values Trulia does not show come back as null so your dataset stays rectangular.

Example output

{
  "propertyAddress": "1212 Guadalupe St #704",
  "cityName": "Austin",
  "stateAbbr": "TX",
  "postalCode": "78701",
  "fullLocation": "1212 Guadalupe St #704, Austin, TX 78701",
  "geoLat": 30.275978,
  "geoLng": -97.744095,
  "askingPrice": 325000,
  "priceLabel": "$325,000",
  "priceCurrency": "USD",
  "bedroomCount": 1,
  "bathroomCount": 1,
  "floorArea": "469 sqft",
  "lotArea": null,
  "homeType": "CONDO",
  "forSale": true,
  "forRent": false,
  "recentlySold": false,
  "offMarket": false,
  "foreclosure": false,
  "detailUrl": "https://www.trulia.com/home/1212-guadalupe-st-704-austin-tx-78701-29387349",
  "coverPhoto": "https://www.trulia.com/pictures/thumbs_4/zillowstatic/fp/2bfd9f420ad909ab93654a0ee041166b-full.jpg",
  "photoLinks": [
    "https://www.trulia.com/pictures/thumbs_4/zillowstatic/fp/2bfd9f420ad909ab93654a0ee041166b-full.jpg",
    "https://www.trulia.com/pictures/thumbs_4/zillowstatic/fp/42c1afb36db27101c435739b4b06b246-full.jpg"
  ],
  "statusLabels": ["NEW - 2 MIN AGO"],
  "listingSummary": "This condo is located at 1212 Guadalupe St #704, Austin, TX 78701...",
  "listedDate": null,
  "openHouseSlots": [
    {
      "date": "Saturday, June 14",
      "startHour": "2PM",
      "endHour": "4PM"
    }
  ],
  "searchSource": "https://www.trulia.com/TX/Austin/",
  "collectedAt": "2026-06-29T10:00:00+00:00"
}

Output fields

Field	Type	Description
propertyAddress	string	Street line of the home (e.g. "1212 Guadalupe St #704")
cityName	string	City the listing sits in
stateAbbr	string	Two-letter state code (e.g. "TX")
postalCode	string	ZIP code
fullLocation	string	Whole address on one line
geoLat	number	Map latitude
geoLng	number	Map longitude
askingPrice	integer	List price in USD as a plain number
priceLabel	string	Price as Trulia prints it (e.g. "$325,000")
priceCurrency	string	Currency code attached to the price (USD)
bedroomCount	integer	Number of bedrooms
bathroomCount	number	Number of bathrooms, may be a half value such as 1.5
floorArea	string	Indoor living space as printed (e.g. "1,200 sqft")
lotArea	string	Lot size, or null when not stated
homeType	string	CONDO, SINGLE_FAMILY, TOWNHOUSE, MULTI_FAMILY, LAND, and similar
forSale	boolean	True when listed for sale
forRent	boolean	True when listed for rent
recentlySold	boolean	True when sold not long ago
offMarket	boolean	True when no longer on the market
foreclosure	boolean	True when a foreclosure listing
detailUrl	string	Direct link to the full listing on Trulia
coverPhoto	string	Main listing photo URL
photoLinks	array	Every photo URL for the listing
statusLabels	array	Card badges such as "NEW - 2 MIN AGO" or "OPEN SAT"
listingSummary	string	Full marketing description text
listedDate	string	Date first listed, when available
openHouseSlots	array	Scheduled open houses (date, startHour, endHour)
searchSource	string	The search URL this listing came from
collectedAt	string	ISO 8601 timestamp of when the row was captured

Tips for best results

• Start with one city. Run a single URL with a low resultsLimit first to confirm the output fits your pipeline, then scale up.
• Scrape rentals by passing a Trulia rental search URL, for example https://www.trulia.com/for_rent/Austin,TX/.
• Scrape foreclosures with Trulia's foreclosure search URLs, such as https://www.trulia.com/TX/Austin/FORECLOSURE/.
• Push resultsLimit toward 1000 to grab the largest sample a city offers in one run.
• Lean on statusLabels for freshness — labels like "NEW - 2 MIN AGO" or "OPEN SUN" reflect what the card showed at scrape time.
• Check searchSource when you run several cities at once; it tells you which URL produced each row.
• Raise timeoutSeconds to around 120 if pages are timing out on a slow connection.

How can I use Trulia property data?

How can I use the Trulia Property Scraper to build a housing market dataset? Paste the search URLs for the cities you care about and the scraper returns every listing's address, asking price, beds, baths, and floor area as clean rows. Group them by cityName or postalCode to compare price per square foot, track inventory, and spot where homes are sitting on the market.

How can I pull Trulia listings for a single neighborhood without copying them by hand? Drop in one neighborhood search URL and set resultsLimit to the number of homes you want. The scraper pages through the results for you and hands back each listing with its full address, GPS coordinates, photos, and listing link — no scrolling, no copy and paste.

How can I track new Trulia listings and price changes over time? Run the same search URL on a schedule and keep each run's output. Because every row carries collectedAt and a stable detailUrl, you can diff today's pull against yesterday's to surface fresh listings, price cuts, and homes that just went off market.

How can I export Trulia property data to Excel or Google Sheets? After a run finishes, use Apify's export options to download the dataset as CSV, Excel, JSON, or XML, or pull it through the API. Every listing is one flat row, so it lands in a spreadsheet ready to filter, sort, and chart.

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.

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.