Platform · Trulia

Trulia Data Scraping

The same home on Trulia and Zillow is one home. The neighbourhood notes beside it are Trulia's own.

Trulia data scraping collects public listing and neighbourhood pages from Trulia, a Zillow Group site since 2015. Listings largely overlap with Zillow's, so every record carries a cross-site key and is counted once. Trulia's distinctive layer is neighbourhood content — resident reviews, local insights, school data from a named partner — recorded with its source and aggregated, never at the level of individual reviewers. Only publicly accessible listing pages are read: no MLS system, agent portal, listing feed or login, and asking prices are never presented as sale prices.

A sister site adds content, not inventory. Counting it as inventory doubles the market.

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Free pilot on your own Trulia list, returned in 24 hours. No card, no trial clock — and you keep the sample data either way.

trulia_sample.jsonl LIVE FEED

{"listing_id":"as published","cross_site_key":"zg-44120","counted_once":true} {"neighbourhood":"as published","review_count":86,"themes":"quiet, walkable"} {"school_data":"partner rating","partner":"as named","reviewer_names":null}

illustrative sample rows · USshared inventory, own content · schema v1.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to Trulia or its owners. Trulia and related marks belong to their respective owners, used here only to name the publicly accessible source this service collects from.

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Trulia at a glance

How we handle Trulia specifically

Platform-specific handling, not a generic retail template pointed at a different domain.

Portal: Trulia — Zillow Group since 2015
Listings: Largely shared with Zillow
So: cross-site key; counted once
Distinctive: Neighbourhood content
Schools: Partner data, attributed
Reviews: Aggregated; no reviewer identities
Asking price: Not a sale price
Refresh: Daily; neighbourhood content weekly

Platform specifics

Shared inventory, own content

These are the reasons a Trulia dataset needs its own handling rather than a shared retail schema.

Neighbourhood layer

Trulia presents neighbourhood pages with resident reviews and local insights, and school ratings from a partner. These are useful as sentiment and context, with their sources kept.

neighbourhood content with content_source — Trulia residents, named partner.
review_counts and themes aggregated; reviewer names and text attribution not collected.
school_data with the partner named and the date read.
cross_site_key linking each listing to its Zillow record.

Listings, and what we do not do

Listings

Listing records follow our Zillow page, including coverage events.

MLS

MLS systems are credentialed, licensed environments and are never accessed, as the real estate hub sets out.

What we do not do

Count shared listings twice, collect reviewer identities, present partner school ratings as ours, or use logins.

Scope

What we collect on Trulia, and what we do not

The right column matters more than the left. Anyone can list fields; the limits are what tell you whether the dataset will hold up.

✅ What we collect

Public pages only
Cross-site key with Zillow
Shared listings counted once
Neighbourhood content with source
Review counts and themes aggregated
School data with partner and date
Listing brokerage as displayed
Rentals as their own type
Daily refresh

❌ What we do not, and why

MLS systems, feeds or logins
Shared listings counted twice
Reviewer identities
Partner ratings presented as ours
Listing photos or descriptions republished

Core Trulia fields

The full dictionary is agreed during scoping. These are the fields specific to this platform.

Field	What it is on this platform
listing_id / url	As published
cross_site_key	Zillow record
asking_price / currency	USD
status	As shown
listing_brokerage	As displayed
neighbourhood	As published
content_source	Residents or partner
review_count / themes	Aggregated
school_data / partner / read_at	Attributed
attributes	As published
observed_at	Timestamp

Use cases

What teams do with Trulia data

Neighbourhood sentiment

Aggregated resident themes.

Location context

School and local data, attributed.

Inventory hygiene

One home, counted once.

Rental context

Neighbourhood beside rentals.

The 24-hour sample — run on your sources, not ours

Send us a Trulia item or category list. We run real collection against it and return the output within 24 hours, with the platform-specific fields populated so you can check them yourself rather than take our word for it.

Real extraction from your actual sources
Returned within 24 hours
Coverage and QA note included
You keep the data either way
No card, no trial clock
Named engineer on the call

Get my free sample Book a 20-min scoping call Reply within one business day. Reference calls available under NDA.

How we engage

Three ways to engage us

Same collection pipeline and QA underneath. The difference is who holds the schedule and how the data reaches you.

Managed service (most common)

We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.

Dedicated engineer assigned to your account
Site changes fixed by us, not reported to you
Scheduled delivery to your warehouse or S3
Named contact on Slack or email

Best fit: Teams who need the data, not the infrastructure.

API access

REST endpoints on the same pipeline, with sandbox keys for testing.

On-demand and scheduled endpoints
Rate limits agreed to your load profile
Sandbox keys for integration testing
Versioned schema with deprecation notice

Best fit: Product and engineering teams building on live data.

One-time or project extraction

A fixed-scope extraction for a single project or research question.

Fixed scope agreed in writing upfront
Single delivery with full QA report
Methodology documented for your records
Converts to managed if you want continuity

Best fit: Research, strategy and diligence work with a deadline.

Pricing

Pricing is quoted individually, based on category scope, number of markets, cadence and ongoing identity maintenance. After a scoping call and free pilot, we quote a fixed monthly figure, with no per-request metering.

Book a 20-min scoping call Request a quote Talk to an engineer

Trulia is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Trulia data becomes useful when it sits next to the competitor set on one schema, refreshed on one schedule, so a price index or availability comparison is genuinely like-for-like.

That is what real estate data covers, and a Trulia-only engagement can be expanded into it without rebuilding. If you already know you need several platforms, start there instead — it is the same pipeline and usually the better scoping conversation.

FAQ

Trulia data scraping: frequently asked questions

Platform-specific questions, including what cannot be collected here.

It is a Zillow Group site with largely shared listings. We count shared listings once.

Neighbourhood content: resident reviews, local insights and partner school data.

No. Reviews are aggregated.

Never.

No. They are the partner's, attributed.

Usually added to a Zillow scope.

Talk to us.

See real Trulia data before you commit to anything

Send us an item or category list. We return the output within 24 hours with the platform-specific fields populated.

Get a free sample Talk to an engineer

Free pilot, no card, no obligation. If we cannot collect a field you need on this platform, the sample shows you that too.

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