Trulia Scraper

Extract property listings from Trulia across the United States: for sale, for rent, and recently sold. Search by location with optional keyword and sort, or paste Trulia URLs directly. Every listing comes back as one clean record with price, beds, baths, square footage, full address, GPS coordinates, photos, and the listing agent and broker. Turn on detail mode to also pull price history, tax history, the full feature list, open houses, agent contact, and affordability data from each property page.

Why this scraper

• Rich output out of the box: search results already include price, beds, baths, size, full address, neighborhood, GPS, photo gallery, listing agent name and broker, status flags, and tracking ids. No detail fetch needed for the common fields.
• Optional deep detail: one toggle adds price history, tax history, features, open houses, listing agent and broker contact, local protections, estimated rent, and more.
• Three listing channels: for sale, for rent, and recently sold.
• Real keyword filter: narrow a location to listings that mention a term like pool or waterfront.
• Two input modes: build searches from simple fields, or paste search and property URLs you already have. Multiple URLs supported with automatic pagination.
• Lean and predictable: detail mode is off by default, so a standard run is fast and low cost. One result cap (Max items) keeps every run predictable.
• Resume & recurring updates: continue one interrupted crawl with resumeFromRunId, or turn on incrementalMode to schedule this same search daily/weekly and get back only what's NEW, UPDATED, or REAPPEARED.
• Optional export: pipe results straight into Notion, Linear, Airtable, or Apify via MCP connectors.

Data you get

Sample shape, values are illustrative placeholders, not from a live listing.

Field	Example
id	00000001
url	https://www.trulia.com/home/sample-address-ny-10000-00000001
listingType	FOR_SALE
propertyType	SINGLE_FAMILY_HOME
price	750000
formattedPrice	$750,000
streetAddress	123 Sample Street
city	Sampletown
state	NY
zipCode	10000
neighborhood	Sample Heights
latitude	40.0000
longitude	-73.0000
bedrooms	3
bathrooms	2
floorSpace	1,800 sqft
listingAgentName	Agent Name
brokerName	Sample Realty
heroImage	https://www.trulia.com/pictures/thumbs_4/zillowstatic/fp/00000000-full.jpg
photos	[ "https://www.trulia.com/pictures/thumbs_6/zillowstatic/fp/00000000-full.jpg" ]
tags	[ "NEW", "OPEN SUN" ]
scrapedAt	2026-01-01T00:00:00.000Z

With Fetch property details enabled, each record also includes: priceHistory, taxes, features, openHouses, providerDetails (agent and broker contact), localProtections, affordability, estimatedRent, totalPhotoCount, plus the full homeDetails object.

Incremental mode only. When incrementalMode is on, every returned record also carries:

Field	Description
changeType	NEW | UPDATED | UNCHANGED | REAPPEARED | EXPIRED
changedFields	Top-level fields that changed since last seen; non-empty only for UPDATED
firstSeenAt	When this listing was first observed by this monitoring campaign
lastSeenAt	When this listing was last observed

An EXPIRED row is a tombstone (the same fields a normal record carries, minus a couple of per-fetch MLS refresh-stamp leaves), not a re-fetch: it reflects the last snapshot this actor collected before the listing stopped appearing.

How to use

Basic search:

{
  "mode": "search",
  "searchLocation": "Austin,TX",
  "searchListingType": "FOR_SALE",
  "maxItems": 50
}

Search with keyword and sort:

{
  "mode": "search",
  "searchLocation": "Miami,FL",
  "searchListingType": "FOR_SALE",
  "searchKeyword": "pool",
  "searchSort": "PRICE_LOW_TO_HIGH",
  "maxItems": 100
}

For rent, with full detail enrichment:

{
  "mode": "search",
  "searchLocation": "Seattle,WA",
  "searchListingType": "FOR_RENT",
  "fetchDetails": true,
  "maxItems": 40
}

URL mode (search URLs are paginated, property URLs return one record each):

{
  "mode": "url",
  "startUrls": [
    "https://www.trulia.com/sold/Denver,CO/",
    "https://www.trulia.com/home/sample-address-co-80000-00000002"
  ],
  "maxItems": 60
}

Input parameters

Parameter	Type	Default	Description
mode	string	search	search (build URLs from filters) or url (paste links)
searchLocation	string	New_York,NY	Search mode. US location as City,STATE
searchListingType	string	FOR_SALE	FOR_SALE, FOR_RENT, or SOLD
searchKeyword	string	(empty)	Search mode. Narrows to listings mentioning this term
searchSort	string	RECOMMENDED	RECOMMENDED, NEWEST, PRICE_LOW_TO_HIGH, PRICE_HIGH_TO_LOW
startUrls	array	(empty)	URL mode. Trulia search or property URLs
fetchDetails	boolean	false	Add price history, taxes, features, open houses, agent contact
maxItems	integer	20	Run cap on listings. 0 for unlimited
maxPages	integer	none (unlimited)	Optional safety cap on pages per search (40 listings per page). Leave empty to walk every result page; the run stops at Max items
resumeFromRunId	string	none	Continue one specific previous run/dataset: listings already collected there are skipped, so this run only returns new ones. For recurring daily monitoring of the same search, use incrementalMode instead -- see "Resume & recurring updates" below
incrementalMode	boolean	false	Daily/recurring monitoring of this same search. First run returns everything as NEW; later runs return only NEW/UPDATED/REAPPEARED by default. See "Resume & recurring updates" below
stateKey	string	none	Optional name for a monitoring campaign, so its incremental state stays stable or is deliberately shared. Auto-derived from location/URLs, listing type, keyword, sort, and fetchDetails when left empty
emitUnchanged	boolean	false	Incremental mode only. Also return listings unchanged since the last run, marked UNCHANGED. Adds and bills extra rows you already have
emitExpired	boolean	false	Incremental mode only. Also return listings from a previous run no longer found, marked EXPIRED, once a run has fully scanned the search (not capped, not a resume). Adds and bills extra synthetic rows
proxy	object	Residential US	Residential US is required; datacenter is refused

Resume & recurring updates

There are two different things here -- pick the one that matches what you're doing:

Need	Use
A crawl stopped and should continue	resumeFromRunId / automatic checkpoint recovery
Run the same search every day and receive only changes	incrementalMode
Keep separate daily campaigns for similar searches	distinct stateKey values
Run a normal full snapshot	leave both off

Resume (resumeFromRunId) continues one specific interrupted or previous large crawl: paste a run ID or dataset ID and this run skips listings already collected there, returning only the remaining new listings. An automatic same-run checkpoint also protects against platform migrations/Resurrects without any input needed.

Incremental mode (incrementalMode) is for a schedule (for example, daily): the actor remembers the previous run of the same search by itself, so you never paste a run ID. The first run returns everything as NEW. Later runs return only NEW, UPDATED, and REAPPEARED listings by default -- duplicates and unchanged listings are suppressed (and not charged, even in detail mode -- see below). Turn on emitUnchanged or emitExpired only when you also want those rows returned (and billed for). State is isolated per location/URL, listing type, keyword, sort, and fetchDetails setup automatically; set stateKey to name or deliberately share a monitoring campaign. It reuses the same listing identity (id, falling back to url) that resumeFromRunId dedups on, so the two features never disagree about what "the same listing" means.

With fetchDetails on, a listing's property page is still fetched every run (its fingerprint needs the detail data), but the detail-enrichment charge only applies to listings actually returned -- a suppressed UNCHANGED listing is neither pushed nor billed.

Scheduled-run example -- same search, run daily:

Day 1 (first run ever for this search):

{ "mode": "search", "searchLocation": "Austin,TX", "searchListingType": "FOR_SALE", "incrementalMode": true }

-> every listing comes back with "changeType": "NEW".

Day 2 (same input, run again the next day):

{ "mode": "search", "searchLocation": "Austin,TX", "searchListingType": "FOR_SALE", "incrementalMode": true }

-> only listings that are new, changed price/status/agent/etc., or reappeared come back; everything else is skipped and not billed.

Send results into your apps (MCP connectors)

Optionally pipe each result into the tools you already use. Authorize a connector under Apify, Settings, Integrations, then select it in the mcpConnectors field. For Notion, also set notionParentPageUrl. The connector receives a condensed, human-readable summary per item (address plus key fields); the complete record always stays in the Apify dataset. Leave the field empty to skip. Supported connectors: Notion, Linear, Airtable, and Apify.

Output example

Sample shape, values are illustrative placeholders, not from a live listing.

{
  "id": "00000001",
  "url": "https://www.trulia.com/home/sample-address-ny-10000-00000001",
  "listingType": "FOR_SALE",
  "propertyType": "SINGLE_FAMILY_HOME",
  "price": 750000,
  "formattedPrice": "$750,000",
  "streetAddress": "123 Sample Street",
  "city": "Sampletown",
  "state": "NY",
  "zipCode": "10000",
  "neighborhood": "Sample Heights",
  "latitude": 40.0000,
  "longitude": -73.0000,
  "bedrooms": 3,
  "bathrooms": 2,
  "floorSpace": "1,800 sqft",
  "listingAgentName": "Agent Name",
  "brokerName": "Sample Realty",
  "heroImage": "https://www.trulia.com/pictures/thumbs_4/zillowstatic/fp/00000000-full.jpg",
  "photos": ["https://www.trulia.com/pictures/thumbs_6/zillowstatic/fp/00000000-full.jpg"],
  "tags": ["NEW"],
  "scrapedAt": "2026-01-01T00:00:00.000Z"
}

Plan requirement

Trulia admits United States residential connections only, so this actor needs an Apify Residential proxy pinned to the US (the default). Datacenter exits are refused. Free Apify plans do not include residential proxy; use a Starter plan or higher (https://apify.com/pricing). The actor rotates US then CA residential exits and can fail over to a backup gateway. If a run returns zero items, check that the proxy is set to Residential US.