Trulia Property Scraper 🏡

What does Trulia Real Estate Scraper do?

Trulia Real Estate Scraper collects public for-sale and for-rent property listings from Trulia.com. Provide a Trulia search URL or a US location such as a state or city, set how many listings you need, and receive structured records with prices, beds, baths, square footage, addresses, coordinates, photos, and listing URLs. The dataset helps with market research, investment screening, rental supply tracking, and property monitoring.

Why use Trulia Real Estate Scraper?

• Market research - Compare asking prices, bedroom and bathroom counts, property types, and sizes across US cities, states, and neighborhoods.
• Investment screening - Build a repeatable inventory of homes for sale or rent in selected markets and watch it over time.
• Rental monitoring - Track for-rent supply in specific areas with consistent fields for pricing analysis.
• Lead generation - Create property lists with direct listing URLs, addresses, prices, photos, and listing providers for further qualification.
• Automation-ready exports - Download data as JSON, CSV, Excel, XML, or connect it through the Apify API and webhooks.
• Sale and rental coverage - Collect both buy and rent inventory from the same Actor.

What data can you extract from Trulia?

Each dataset item represents one property listing. Trulia may omit individual attributes for some listings, so certain fields appear only when the source publishes them.

Field	Type	Description
url	String	Absolute Trulia listing URL.
price	String	Formatted listing price, for example $559,000.
listing_status	String	Active for sale or rent status label when available.
listing_type	String	Sale or rental type label.
date_listed	String	Listing date when published.
property_type	String	Property type, for example SINGLE_FAMILY_HOME.
beds	String	Bedroom count.
baths	String	Bathroom count.
sqft	String	Interior square footage.
lot_size	String	Lot size text when available.
address	String	Street address.
city	String	City name.
state	String	State code.
zip_code	String	ZIP code.
full_address	String	Full address line.
latitude	Number	Latitude coordinate.
longitude	Number	Longitude coordinate.
listing_by	String	Listing provider or broker name.
listing_agent	String	Listing agent name when available.
feature_highlights	String	Clean highlights such as `Year Built: 1920
review	String	Short readable summary built from top fields.
tags	String	Listing tags.
image_url	String	Primary listing image URL.
photo_count	Number	Number of published photos.
photo_urls	Array	Gallery image URLs.
has_3d_tour	String	Whether a 3D tour is available.
has_video	String	Whether a video is available.
is_auction	String	Whether the listing is an auction.
listing_id	String	Listing identifier when available.
zpid	String	Cross-listing identifier when present.
home_id	String	Typed home identifier.
composite_id	String	Composite listing or home identifier.
tracking_summary	String	Tracking attributes summary.
search_page	Number	Search page index that produced the listing.
search_location_id	String	Search-area location identifier.

How to use Trulia Real Estate Scraper

1. Open the Actor on Apify Store.
2. Paste a public Trulia search URL, or enter a location and listing type.
3. Set results_wanted to the number of listings you need.
4. Start the run and review the dataset preview.
5. Export the results or connect the dataset to your workflow.

Input Parameters

Parameter	Type	Required	Default	Description
start_url	String	No	https://www.trulia.com/NY/	Direct Trulia search URL to scrape.
location	String	No	NY	Location used to build a search URL when start_url is not provided.
listing_type	String	No	buy	Listing mode, either buy or rent.
results_wanted	Integer	No	20	Maximum number of listings to collect.
proxyConfiguration	Object	No	Residential Apify Proxy	Proxy settings for reliable extraction.

If both start_url and location are omitted, the Actor uses its default New York search location. When both are provided, start_url takes priority.

Output Data

The output is a list of listing records stored in an Apify Dataset. Each record uses the fields described in the table above. The Actor removes duplicate listings found during a run before saving records, so repeated results from overlapping pages are not counted twice.

Usage Examples

Basic State Collection

Collect the first 20 for-sale listings from a state location:

{
    "location": "NY",
    "listing_type": "buy",
    "results_wanted": 20
}

Rental Listings by City

Collect 50 for-rent listings from a city location:

{
    "location": "Los Angeles",
    "listing_type": "rent",
    "results_wanted": 50
}

Direct Search URL

Collect 30 listings from a specific Trulia search URL:

{
    "start_url": "https://www.trulia.com/CA/San_Leandro/",
    "results_wanted": 30
}

Sample Output

The following example shows one realistic dataset item. Optional fields are included only when the source provides them.

{
    "url": "https://www.trulia.com/home/123-example-st-san-leandro-ca-94577-12345678",
    "price": "$559,000",
    "listing_status": "Active for sale",
    "listing_type": "For sale",
    "date_listed": "2026-02-18T00:00:00Z",
    "property_type": "SINGLE_FAMILY_HOME",
    "beds": "3",
    "baths": "2",
    "sqft": "1405",
    "lot_size": "5,400 sqft",
    "address": "123 Example St",
    "city": "San Leandro",
    "state": "CA",
    "zip_code": "94577",
    "full_address": "123 Example St, San Leandro, CA 94577",
    "latitude": 37.7242,
    "longitude": -122.1561,
    "listing_by": "Listing provided by ABC Realty",
    "listing_agent": "Jane Smith",
    "feature_highlights": "Year Built: 1920 | HOA: None | Pool: No",
    "review": "$559,000 | 3 Beds, 2 Baths, 1405 sqft | 123 Example St, San Leandro, CA | Year Built: 1920 | HOA: None | Pool: No",
    "tags": "OPEN_HOUSE, NEW",
    "image_url": "https://www.trulia.com/pictures/thumbs/example.jpg",
    "photo_count": 24,
    "photo_urls": [
        "https://www.trulia.com/pictures/thumbs/example.jpg",
        "https://www.trulia.com/pictures/thumbs/example-2.jpg"
    ],
    "has_3d_tour": "No",
    "has_video": "No",
    "is_auction": "No",
    "listing_id": "12345678",
    "home_id": "HOME_12345678",
    "composite_id": "7012345678-2012345678",
    "tracking_summary": "Listing Price: $559,000 | Listing Status: Active for sale",
    "search_page": 1,
    "search_location_id": "abc123"
}

Tips for Best Results

• Start with a small batch - Use results_wanted: 20 for a quick validation run, then increase after confirming output quality.
• Use precise location inputs - Use a state value such as NY for broad coverage, or a city or direct start_url for focused coverage.
• Keep data fresh - Schedule recurring runs for market tracking and compare current runs against historical datasets to detect movement.
• Use residential proxies - Keep proxyConfiguration enabled with a residential group for larger or repeated collections.
• Expect optional fields - A listing may not include a lot size, coordinates, agent, photos, or tour flags. Empty source attributes are not replaced with guesses.

Integrations

Connect your data with:

• Google Sheets - Build live market tracking sheets.
• Airtable - Create searchable listing databases.
• Make - Trigger automations after each completed run.
• Zapier - Route fresh listing data into CRM and ops workflows.
• Webhooks - Send listing events to your own backend services.

Export Formats

• JSON - Best for developers and APIs.
• CSV - Spreadsheet and BI-ready tabular exports.
• Excel - Business reporting and stakeholder sharing.
• XML - Compatible with legacy integrations.

Frequently Asked Questions

How many listings can I collect in one run?

You control this with results_wanted. Start with small values for testing, then scale up after checking the dataset preview.

Can I scrape both for-sale and rental listings?

Yes. Use listing_type: "buy" for sale listings and listing_type: "rent" for rental listings.

Do I need a direct URL?

No. You can run by location, or provide start_url for precise targeting.

Why are some fields empty?

Some listings do not expose every attribute. Empty fields are omitted or unavailable when the source does not provide them.

How can I improve reliability?

Use residential proxies and run moderate request volumes per run. The Actor retries blocked pages and refreshes its session before stopping, which keeps collections stable when request behavior shifts.

Can I schedule this scraper?

Yes. Use Apify scheduling to run daily, hourly, or on custom intervals.

Related Actors

• Homes.com Property Scraper - Collect US property listings, prices, specs, and agent details from Homes.com.
• Realtor.com Scraper - Collect public for-sale and ready-to-build listings from Realtor.com with prices, photos, and agent details.
• iProperty Scraper - Collect Malaysian property listings, prices, locations, and agent information.
• Zameen.com Scraper - Collect property listings for Pakistan, including houses, plots, and commercial properties.

If you also need US residential coverage from another portal, see Homes.com Property Scraper.

Support

For issues, missing fields, target changes, or feature requests, use the Issues tab on the Actor page or contact the developer through Apify.

Legal Notice

This Actor is designed for legitimate collection of publicly available Trulia listing data. Users are responsible for complying with Trulia terms of service, applicable laws, privacy requirements, and any restrictions on storing, sharing, or using listing content and images.