We extract distressed property listings, First Look status, pricing signals, and listing agent details from Homepath. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
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 homepath.com. All fields typed and schema-versioned.
"mls_id": "RX-10892341", "address": "142 Maple St", "city": "Orlando", "state": "FL", "zip_code": "32801", "beds": 3, "baths": 2, "sqft": 1850, "first_look_eligible": true, "property_type": "Single Family"
| # | mls_id | address | city | state | zip_code | beds |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Financials objects from homepath.com. All fields typed and schema-versioned.
"mls_id": "RX-10892341", "current_price": 185000.0, "original_price": 210000.0, "price_drop_amount": 25000.0, "hoa_fees": 0.0, "estimated_taxes": 2450.0, "earnest_money_required": 1000.0
| # | mls_id | current_price | original_price | price_drop_amount | price_drop_pct | hoa_fees |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for First Look & Status objects from homepath.com. All fields typed and schema-versioned.
"mls_id": "RX-10892341", "first_look_eligible": true, "first_look_end_date": "2024-05-12T23:59:59Z", "listing_status": "Active", "foreclosure_status": "REO", "property_condition": "Needs Repair", "occupancy_status": "Vacant"
| # | mls_id | first_look_eligible | first_look_end_date | listing_status | foreclosure_status | auction_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Agent & Broker Data objects from homepath.com. All fields typed and schema-versioned.
"mls_id": "RX-10892341", "listing_agent_name": "Sarah Jenkins", "agent_phone": "555-019-8472", "brokerage_name": "Premier REO Brokers", "agent_license_number": "RE-99482", "brokerage_phone": "555-019-8000", "agent_email": "sarah@premier-reo.com"
| # | mls_id | listing_agent_name | agent_phone | agent_email | brokerage_name | brokerage_address |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Property Features objects from homepath.com. All fields typed and schema-versioned.
"mls_id": "RX-10892341", "heating_type": "Forced Air", "cooling_type": "Central", "parking_spaces": 2, "garage_type": "Attached", "basement_type": "Unfinished", "roof_type": "Asphalt Shingles"
| # | mls_id | heating_type | cooling_type | parking_spaces | garage_type | basement_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Homepath scraper handles every layer of the platform: property details, First Look countdowns, pricing history, and agent directories — with geospatial subdivision and anti-bot circumvention built in.
Beds, baths, square footage, lot size, year built, and structural features extracted for every REO listing.
Monitor expiration dates for Fannie Mae's First Look program to time investor offers perfectly.
Track current price, original list price, and price drop percentages across the REO lifecycle.
Capture listing agent names, phone numbers, emails, and brokerage details for REO networking.
Extract carrying costs including estimated annual taxes and monthly HOA fees.
Define extraction boundaries by zip code, county, state, or custom latitude/longitude bounding boxes.
Extract high-resolution property photos and floorplan image URLs for offline analysis.
Track auction dates, venues, starting bids, and property condition flags.
Run daily sweeps that only emit records for listings that changed status or price since the last run.
Brief in. Clean data out.
Provide target states, counties, or zip codes. We design the extraction schema and frequency together.
We configure Scrapy / Playwright crawlers, proxy rotation, and geospatial subdivision logic for homepath.com.
Schema validation, null-rate checks, and coordinate verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Real estate portals invest heavily in scraping detection. Here's how we stay resilient — and why teams choose managed infrastructure over DIY.
Property portals use strict WAFs to block datacenter IPs. Our crawlers use US-based residential ISP proxies with realistic browser fingerprints and full cookie session management.
Homepath limits search results per map view. We programmatically subdivide large geographic areas into smaller bounding boxes to ensure 100% listing capture without hitting pagination caps.
Homepath relies heavily on client-side rendering for map clusters and property details. We run full Playwright browser sessions to hydrate the DOM and intercept API payloads directly.
For daily market sweeps, we maintain a hash index of last-seen values per property. Subsequent runs only push diffs — capturing status changes from Active to Pending instantly.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, missing First Look dates, and DOM structure changes — fixing selectors before you notice.
Flippers and investors track First Look expiration dates to submit offers the moment properties open to non-owner occupants.
REITs and funds aggregate REO inventory data across multiple states to identify acquisition targets at scale.
B2B service providers extract active REO listing agents to build targeted marketing lists for staging, repair, or title services.
AVM platforms ingest distressed property pricing and foreclosure status to refine neighborhood valuation algorithms.
Analysts track REO inventory volume, days on market, and price reduction velocity by county to gauge localized housing market distress.
Settlement service providers monitor pending REO transactions to identify upcoming volume in specific jurisdictions.
"Homepath contains the definitive inventory of Fannie Mae distressed assets, but tracking First Look expirations across thousands of counties requires automated infrastructure."
Most investment firms rely on manual portal checks or delayed MLS feeds to track REO inventory. DataFlirt automates the extraction of Homepath listings, First Look countdowns, and price reductions, delivering clean property datasets directly to your warehouse so your acquisition team can act first.
Everything supported by our homepath.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.
We intercept internal JSON payloads from map tile requests, bypassing frontend rendering limits and capturing raw coordinate data.
We maintain pools of US-based residential ISP proxies to bypass real estate portal WAFs. Rotation happens per-request with sticky sessions where required.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling for daily market sweeps, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About homepath.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available real estate listings is generally permissible. DataFlirt targets only public, non-authenticated property data, pricing, and agent contact info. We do not circumvent authentication walls or submit automated offers. Clients should review Homepath's ToS and consult legal counsel for specific use cases.
Homepath limits search results on map views. We bypass this by programmatically subdividing large geographic areas (like entire states) into smaller latitude/longitude bounding boxes, ensuring the result count per box stays under the pagination cap.
Yes. We extract the exact First Look expiration date for every eligible property, allowing your acquisition team to time their offers precisely when the property opens to investors.
Most clients opt for daily sweeps of their target markets. We can configure pipelines to run hourly for specific high-priority zip codes to catch new REO listings the moment they go live.
Yes. We capture the listing agent's name, phone number, email address, brokerage name, and license numbers where publicly available on the listing page.
We deliver data in JSON, CSV, XLS, or Parquet. We can push directly to AWS S3, Google Cloud Storage, BigQuery, Snowflake, or trigger Webhooks for real-time ingestion.
Absolutely. We provide a sample run of up to 500 properties in your target market as part of the pre-engagement scoping process so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need daily sweeps of Fannie Mae inventory across three states or a national pipeline tracking First Look expirations — we build and operate the infrastructure.
