Trulia Scraper

Trulia Scraper creates a structured dataset of property listings collected from Trulia. Each dataset item is one listing and can include the listing id, address, price, status, property type, beds, baths, living area, city, and URL. Query the source with a place name, ZIP code, or Trulia URL, choose for sale, for rent, or sold, optionally open the property page, limit results with maxListings, and retrieve records through the Apify Dataset API or export them as JSON, CSV, Excel, XML, or another supported format.

Dataset at a glance

Property	Value
Source	Trulia
Record unit	One listing
Input methods	searchQueries, startUrls
Main identifiers	listingId, url
Delivery	Apify Dataset and API
Export formats	JSON, CSV, Excel, XML, and other Apify dataset exports
Update model	Fresh records per Actor run
Pricing	$2.50 per 1,000 listings on the Free plan

Coverage and available records

searchQueries accepts places such as Austin, TX and ZIP codes. searchType applies to those queries and is FOR_SALE, FOR_RENT, or SOLD. Start URLs already encode for-sale, for-rent, or sold, so searchType does not rewrite them.

includeListingDetails adds property-page fields such as description, photo list, features, and price history when the page is fetched. detailConcurrency controls how many detail pages are requested at once. maxListings caps listings across every query and URL. 0 means no cap.

The Actor collects listings returned for that search. It does not collect off-market history beyond the sold search type, and it does not collect agent reviews.

Data dictionary

Field	Type	Nullable	Description	Example
listingId	string	No	Listing key used for deduplication	455106024_ZPID
url	string	No	Trulia listing URL	https://www.trulia.com/builder-community-plan/easton-park-plan-torres-455106024
address	string	Yes	Display address	Plan Torres in Easton Park, Austin, TX 78744
city	string	Yes	City	Austin
state	string	Yes	State	TX
zipCode	string	Yes	ZIP code	78744
neighborhood	string	Yes	Neighborhood	Bluff Springs
formattedPrice	string	Yes	Display price	$615,990+
price	number	Yes	Numeric price	615990
status	string	Yes	Listing status	for sale
propertyType	string	Yes	Property type	single-family home
listingType	string	Yes	Listing type	BUILDER_PLAN
bedrooms	number	Yes	Bedroom count	4.0
bathrooms	number	Yes	Bathroom count	3.0
livingArea	string	Yes	Living area	2,551 sqft
detailsFetched	boolean	Yes	Whether the property page was opened	true
sourceQuery	string	Yes	Query that found the listing	Austin, TX

Example dataset record

{
  "listingId": "455106024_ZPID",
  "url": "https://www.trulia.com/builder-community-plan/easton-park-plan-torres-455106024",
  "listingType": "BUILDER_PLAN",
  "status": "for sale",
  "propertyType": "single-family home",
  "address": "Plan Torres in Easton Park, Austin, TX 78744",
  "city": "Austin",
  "state": "TX",
  "zipCode": "78744",
  "neighborhood": "Bluff Springs",
  "formattedPrice": "$615,990+",
  "price": 615990,
  "currency": "USD",
  "bedrooms": 4.0,
  "bathrooms": 3.0,
  "livingArea": "2,551 sqft",
  "yearBuilt": 2026,
  "detailsFetched": true,
  "sourceQuery": "Austin, TX"
}

Query and input reference

Field	Required	Description
searchQueries	No	City, neighborhood, or ZIP searches
startUrls	No	Trulia search or listing URLs
searchType	No	FOR_SALE, FOR_RENT, or SOLD. Default FOR_SALE. Applies to search queries
maxListings	No	Maximum listings. 0 means no cap
includeListingDetails	No	Open property pages and charge listing-details when details are fetched
detailConcurrency	No	Parallel property-page requests
proxyConfiguration	No	Apify proxy settings. Residential is the usual choice

Provide a search query or a start URL.

Retrieve the data through the API

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("datascrapers/trulia-scraper").call(run_input={
    "searchQueries": ["Austin, TX"],
    "searchType": "FOR_SALE",
    "maxListings": 5,
    "includeListingDetails": True,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("address"), item.get("formattedPrice"), item.get("listingId"))

Data quality and record handling

Deduplicate on listingId. url is a second stable identifier. detailsFetched is false when the card was saved without a property page, so description, photos, and features are absent on those rows. Each run writes a new dataset.

Pricing and cost examples

Pay per event. Prices are per 1,000 events. Platinum and Diamond use the Gold rate. Platform usage is billed separately.

Event	Free	Bronze	Silver	Gold
listing	$2.50	$2.40	$2.30	$2.20
listing-details	$2.50	$2.40	$2.30	$2.20

A Free-plan run that saves 1,000 listing cards costs $2.50, plus platform usage. Each property page that is fetched adds one listing-details event at the same rate. Leave includeListingDetails off when you only need the cards.

Limitations and responsible data use

Search type applies to searchQueries, not to start URLs that already name a market. Builder plans and resale listings can share one search. Collect public listing fields only, and keep maxListings small on the first run.

Dataset questions

What is one dataset item?

One Trulia listing.

Which field should I use to merge runs?

listingId.

When is listing-details charged?

Only when includeListingDetails is on and the property page is fetched.

Related datasets from Data Scrapers

• Daft.ie Scraper for Irish listings
• Hemnet Scraper for Swedish listings
• Finn.no Scraper for Norwegian homes
• DAHLER Scraper for German listings

Data Scrapers support

Questions about this dataset: stardustspotlight@gmail.com.