Trulia Real Estate Listings Scraper

🤖 What does the Trulia Scraper do?

Trulia Scraper lets you extract real estate listings from Trulia.com directly into Apify datasets. It supports powerful filters (price, beds, baths, property type, amenities, foreclosure types, etc.) and works for buy, rent, and sold searches.

Use it to build market dashboards, track inventory, analyze pricing trends, or power lead generation workflows — all from the Apify platform.

✅ Why scrape Trulia?

Trulia is one of the most popular real estate marketplaces in the US. With this actor you can:

• Monitor new listings in specific cities or neighborhoods
• Track price changes and market trends
• Compare property types across regions
• Analyze sold activity or foreclosure inventory
• Build datasets for research, analytics, or automation

🚀 How to use the actor on Apify

1. Add the actor to your Apify account.
2. Configure input (location, filters, max items, etc.).
3. Run the actor and wait for completion.
4. Download results from the Dataset tab (JSON, CSV, Excel).

💡 Input parameters

This actor supports all available filters exposed by the Trulia app. Below is a practical summary; see the full schema in Input on Apify.

Field	Type	Example	Description
location	string	"Austin, TX"	Search location (city, ZIP, neighborhood)
operation	string	"buy"	buy, rent, or sold
maxItems	integer	100	Maximum listings to return
sortBy	string	"price_high"	Sort order
propertyTypes	array	["house", "condo"]	Property type filters
listingTypes	array	["resale", "new_homes"]	Listing type filters
foreclosureTypes	array	["auction"]	Foreclosure types
minPrice / maxPrice	integer	500000	Price range
minBeds / maxBeds	integer	3	Bedroom range
minBaths / maxBaths	integer	2	Bathroom range
minSqft / maxSqft	integer	1500	Square feet range
minLotSize / maxLotSize	integer	4000	Lot size range
minHoaFee / maxHoaFee	integer	0	HOA fee range
minYearBuilt / maxYearBuilt	integer	1990	Year built range
keywords	array	["pool", "garage"]	Keyword filters
pets	array	["cats"]	Pet filters (rent)
buildingAmenities	array	["pool", "garage"]	Amenity filters
unitAmenities	array	["washerdryer"]	Unit amenity filters
furnished	string	"furnished"	Furnished filter
includeOffMarket	boolean	true	Include off‑market listings

The actor exposes many more filters (open homes, price per sqft, landlord pays, 55+ communities, etc.) in the Apify input form.

📥 Example input

{
  "maxItems": 60,
  "location": "Austin, TX",
  "operation": "buy",
  "sortBy": "price_high",
  "propertyTypes": ["house", "condo"],
  "listingTypes": ["resale", "new_homes"],
  "minPrice": 500000,
  "maxPrice": 1500000,
  "minBeds": 3,
  "minBaths": 2,
  "minSqft": 1500,
  "keywords": ["pool", "garage"],
  "includeOffMarket": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

📤 Output

Each dataset item represents a property listing and typically includes:

• Listing URL and identifiers
• Address (street, city, state, ZIP, neighborhood)
• Price and price changes
• Bedrooms, bathrooms, and square feet
• Listing status (for sale, for rent, sold, off‑market)
• Photos and media
• Provider/attribution details

Example output fragment:

{
  "url": "https://www.trulia.com/home/123-main-st-austin-tx-78701-123456789",
  "location": {
    "streetAddress": "123 Main St",
    "city": "Austin",
    "stateCode": "TX",
    "zipCode": "78701",
    "formattedLocation": "123 Main St, Austin, TX 78701"
  },
  "genericPrice": {
    "formattedPrice": "$825,000"
  },
  "bedrooms": {"formattedValue": "3bd"},
  "bathrooms": {"formattedValue": "2ba"},
  "floorSpace": {"formattedDimension": "1,742 sqft"},
  "currentStatus": {
    "isActiveForSale": true,
    "isOffMarket": false
  },
  "media": {
    "photos": [
      {"url": {"large": "https://..."}}
    ]
  },
  ...
}

🔒 Proxy support

Trulia uses anti‑bot protections. For best results, run the actor with Apify Residential Proxy.

💳 Pricing

On the Free plan, Apify provides $5 of free usage credits every month. Small tests often fit within this limit. For larger data needs, you can upgrade to a paid plan for higher limits and faster runs.

✅ Use cases

• Track new listings in a city or ZIP code
• Monitor foreclosure inventory
• Analyze price trends by property type
• Build datasets for investment, research, or lead generation