We extract active listings, historical sales, Trulia Estimates, school ratings, and neighbourhood reviews. Delivered as clean JSON, CSV, or Parquet to your warehouse on a defined schedule.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Property Listings objects from trulia.com. All fields typed and schema-versioned.
"property_id": "1002938475", "address": "123 Maple Street", "city": "Austin", "state": "TX", "zip_code": "78704", "price": 850000, "beds": 3, "baths": 2.5, "sqft": 2100, "trulia_estimate": 845500, "status": "FOR_SALE"
| # | property_id | address | city | state | zip_code | price |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Transaction History objects from trulia.com. All fields typed and schema-versioned.
"property_id": "1002938475", "event_date": "2023-08-14", "event_type": "Listed for sale", "price": 850000, "price_per_sqft": 404, "source": "Austin Board of REALTORS", "brokerage": "Compass"
| # | property_id | event_date | event_type | price | price_per_sqft | source |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Neighbourhood Data objects from trulia.com. All fields typed and schema-versioned.
"zip_code": "78704", "school_name": "Zilker Elementary", "school_rating": 9, "school_type": "Public", "grades": "PK-5", "distance_miles": 0.4, "crime_rating": "Lowest", "walk_score": 82
| # | zip_code | school_name | school_rating | school_type | grades | distance_miles |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Financial and Taxes objects from trulia.com. All fields typed and schema-versioned.
"property_id": "1002938475", "property_tax": 14250, "tax_year": 2023, "assessed_value": 780000, "land_value": 400000, "improvement_value": 380000, "hoa_fee": 0, "home_insurance_est": 1200
| # | property_id | property_tax | tax_year | assessment_year | assessed_value | land_value |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Agent Directory objects from trulia.com. All fields typed and schema-versioned.
"agent_id": "AGT-98321", "name": "Sarah Jenkins", "brokerage": "Keller Williams", "active_listings": 14, "sold_listings": 87, "rating": 4.9, "review_count": 42
| # | agent_id | name | phone | brokerage | active_listings | |
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Our Trulia scraper handles the complexities of real estate data extraction: map-based pagination limits, GraphQL API interception, and aggressive anti-bot systems.
Beds, baths, square footage, heating, cooling, parking, and architectural details extracted directly from property pages.
Track automated valuation models, value ranges, and historical valuation curves for predictive analysis.
Extract local resident reviews, crime heatmaps, and walkability scores tied to specific addresses.
Capture GreatSchools ratings, student-teacher ratios, and assigned boundaries for family-oriented market research.
Historical sales, price drops, tax assessments, and recorded deeds mapped to the property timeline.
Drive times, public transit options, and proximity to major highways calculated for listing locations.
Listing agent details, brokerage attribution, and contact information for B2B outreach workflows.
Coverage across all US states, counties, and zip codes using coordinate-based extraction algorithms.
Daily diffs for new listings, price changes, and pending statuses to keep your database current.
Brief in. Clean data out.
Provide zip codes, counties, or specific property URLs. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and CAPTCHA handling for trulia.com.
Schema validation, null-rate checks, and coordinate verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake stage on agreed cadence.
Real estate platforms aggressively block scrapers. Here is how we maintain stable data feeds without missing listings.
Trulia uses enterprise bot protection that flags datacenter IPs instantly. We use US-based residential proxies combined with TLS fingerprint spoofing to maintain high success rates.
Trulia limits list views to 500 properties per search. We divide large counties into micro-grids using latitude and longitude coordinates to extract every single property without hitting pagination caps.
Instead of parsing brittle HTML, we intercept Trulia internal GraphQL API calls. This provides cleaner data payloads, faster execution, and access to hidden fields not rendered on the page.
For daily market sweeps, we maintain a hash index of last-seen values. Subsequent runs only emit records when a price drops, status changes, or a new listing appears.
Real estate APIs change frequently. We monitor GraphQL schema versions and maintain fallback chains to ensure your data pipeline does not break during a frontend update.
Identify undervalued properties using Trulia Estimates, days on market, and historical price cuts.
Track median price per square foot across specific zip codes over time to forecast regional appreciation.
Feed property data, school ratings, and crime statistics into custom valuation models and buyer platforms.
Verify property tax histories, HOA fees, and historical transaction records for risk assessment.
Identify high-performing real estate agents based on active listing volume and recent sales velocity.
Use neighbourhood crime data, walkability scores, and commute metrics for commercial zoning analysis.
"Trulia holds the most granular neighbourhood and commute data in real estate, but extracting it at county scale requires bypassing enterprise bot protection."
Most teams fail at real estate scraping because they rely on datacenter IPs and basic HTTP clients. Trulia uses advanced fingerprinting and map-based pagination limits. DataFlirt manages the proxy rotation, coordinate chunking, and GraphQL parsing so you just receive clean property records.
Everything supported by our trulia.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and deduplication. Playwright handles JavaScript rendering for complex map interfaces and coordinate grids.
We maintain pools of US-specific ISP proxies to maintain high success rates against real estate anti-bot systems.
AWS Lambda and ECS handle burst scaling for daily market sweeps, coordinated by Apache Airflow.
Data delivered to where your team already works — no new tooling required.
About trulia.com scraping, legality, and pipeline operations.
Ask us directly →Scraping public real estate listings is generally permissible under US law. DataFlirt targets only public, non-authenticated property data. We do not extract gated user data or bypass authentication walls. Clients should review terms of service and consult legal counsel for their specific use cases.
We use US residential proxies, realistic browser fingerprints, and request timing modelled on human behaviour. When necessary, we solve CAPTCHAs automatically using integrated solver APIs.
Yes. Trulia limits standard searches to 500 results. We use coordinate bounding boxes to divide entire states into small map grids, ensuring we extract every property without hitting pagination limits.
We run daily sweeps for active listings across large regions, and can configure hourly checks for targeted high-value zip codes.
Yes, we capture the current Trulia Estimate, the valuation range, and historical valuation data points where available.
Our minimum engagements typically start at county-level or state-level pipeline builds with weekly or daily delivery schedules. Contact us for a precise quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full state property dump or continuous market monitoring across the US, we build and operate the infrastructure. Tell us your target regions.
