We extract foreclosure listings, REO properties, auction schedules, bidding histories, and property metadata from Auction.com. 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 auction.com. All fields typed and schema-versioned.
"apn": "042-192-04", "property_id": "2948174", "address": "1492 Willow Drive", "city": "Atlanta", "state": "GA", "zip_code": "30303", "beds": 3, "baths": 2, "sqft": 1850, "occupancy_status": "Occupied"
| # | apn | property_id | address | city | state | zip_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Auction Details objects from auction.com. All fields typed and schema-versioned.
"auction_id": "A-492193", "auction_type": "Foreclosure", "auction_date_start": "2026-08-14T09:00:00Z", "venue_type": "Online", "starting_bid": 150000.0, "current_bid": 165000.0, "bidding_status": "Active", "reserve_met": false, "deposit_required": 5000.0
| # | auction_id | property_id | auction_type | auction_date_start | auction_date_end | venue_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Financial & Valuation objects from auction.com. All fields typed and schema-versioned.
"property_id": "2948174", "estimated_debt": 210500.0, "estimated_value": 275000.0, "tax_assessed_value": 240000.0, "tax_year": 2025, "buyers_premium_pct": 5.0, "buyers_premium_min": 2500.0, "earnest_money_deposit": 5000.0, "currency": "USD"
| # | property_id | estimated_debt | estimated_value | after_repair_value | tax_assessed_value | tax_year |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Foreclosure Metadata objects from auction.com. All fields typed and schema-versioned.
"property_id": "2948174", "case_number": "2025-CV-04921", "trustee_name": "Quality Loan Service Corp", "trustee_sale_number": "GA-25-8941", "default_amount": 18420.5, "notice_date": "2026-06-12", "foreclosure_stage": "Notice of Sale", "plaintiff_name": "Wells Fargo Bank"
| # | property_id | case_number | trustee_name | trustee_sale_number | default_amount | notice_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Search Results & Map objects from auction.com. All fields typed and schema-versioned.
"search_query": "Fulton County, GA", "latitude": 33.749, "longitude": -84.388, "property_id": "2948174", "position": 12, "is_featured": true, "saved_count": 48, "scraped_at": "2026-07-21T14:32:01Z"
| # | search_query | county_filter | latitude | longitude | property_id | position |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Auction.com scraper extracts deep property metadata, financial estimates, and live auction schedules, bypassing anti-bot systems to deliver structured real estate data directly to your warehouse.
Extract property characteristics including beds, baths, square footage, year built, lot size, and property type across all asset classes.
Monitor start dates, end dates, postponements, and cancellations for online, in-person, and courthouse step auctions.
Capture starting bids, estimated debt, tax assessed values, buyer premiums, and earnest money deposit requirements.
Track occupancy flags (Occupied, Vacant) and title clearance status to accurately model eviction risk and holding costs.
Iterate through geographic bounds to capture all available inventory in a target county, MSA, or custom polygon.
Extract specific venue addresses for live auctions, online bidding portal links, and real-time bid increments where available.
Capture Assessor's Parcel Numbers (APN) and county tax IDs to join Auction.com listings with your internal county recorder datasets.
Extract case numbers, trustee sale numbers, default amounts, and plaintiff names directly from the notice of sale records.
Run daily refreshes for upcoming auctions or configure high-frequency pipelines to monitor bid changes during active events.
Brief in. Clean data out.
Provide target states, counties, or zip codes. We design the extraction schema covering REO, foreclosure, or short sale listings.
We configure Scrapy / Playwright crawlers, coordinate map pagination, and implement anti-bot circumvention for auction.com.
Schema validation, null-rate checks, APN format verification, and data normalisation before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Auction.com relies on dynamic map loading and aggressive bot protection. Here is how we maintain reliable extraction.
Real estate platforms employ strict WAFs and bot mitigation. Our crawlers use US-based residential ISP proxies with realistic browser fingerprints and full cookie session management to blend in with human buyer traffic.
Property discovery relies heavily on interactive maps and XHR requests. We run full Playwright browser sessions to trigger map pan/zoom events, ensuring we capture all pins in dense urban markets.
Current bids and auction statuses update dynamically via background requests. We intercept these API calls directly to extract precise, real-time numerical data rather than relying on brittle DOM parsing.
Auction dates are frequently postponed or cancelled. We maintain a hash index of last-seen values per property. Subsequent runs only push diffs, reducing downstream processing load and highlighting critical status changes.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, missing APNs, or sudden drops in inventory counts, resolving issues before they impact your investment models.
REITs and private equity firms monitor specific zip codes for high-yield REO and foreclosure assets meeting strict buy-box criteria.
Real estate analysts track foreclosure volumes, default amounts, and auction cancellation rates as leading indicators of local market distress.
Acquisition teams feed starting bids, estimated debt, and property characteristics directly into algorithmic underwriting models to calculate maximum allowable offers.
Institutional buyers monitor bidding activity and final sale metrics to understand competitor pricing strategies and market saturation.
Title companies extract case numbers, trustee names, and plaintiff details to preemptively build title reports for upcoming inventory.
Fix-and-flip investors correlate occupancy status, year built, and estimated debt to model holding costs and renovation budgets.
"Auction.com holds the definitive inventory of distressed US real estate, but tracking changing auction dates and bid states requires continuous, automated extraction."
Most teams underestimate the investment required: reliable Auction.com scraping demands residential proxies, map-based coordinate handling, and resilient anti-bot circumvention. DataFlirt absorbs that complexity so your analysts can focus on underwriting properties — not maintaining infrastructure.
Everything supported by our auction.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, deduplication, and retry logic. Playwright handles JavaScript rendering, map interactions, and dynamic XHR interception.
We maintain pools of US-based residential ISP proxies. Rotation happens per-request with sticky sessions where required to prevent bot detection flags.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About auction.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available property details and auction schedules is generally permissible under applicable law, reinforced by rulings like hiQ v. LinkedIn. DataFlirt extracts only public, non-authenticated real estate data. We do not bypass login walls to download gated title documents or place bids. Clients should review platform terms and consult legal counsel for specific use cases.
We use Playwright to interact with the map interface, generating bounding box coordinates for target counties or MSAs. The crawler intercepts the backend API responses that populate the map pins, ensuring 100% coverage of inventory within the defined geographic area.
Yes. Foreclosure auctions are frequently postponed. Our change detection system compares current auction dates against the previous run's state, emitting diff records so you can update your internal schedules without processing the entire dataset again.
For general inventory monitoring, we typically run daily refreshes. For active auctions, we can configure high-frequency pipelines to capture current bid increments, though this requires custom scoping to manage proxy load and bot detection limits.
Yes. We extract Assessor's Parcel Numbers (APNs) and county-specific tax IDs wherever they are surfaced on the property detail page, allowing you to join the auction data with your internal county recorder datasets.
Our smallest packages start at a defined county or state list with daily delivery. For nationwide coverage or custom schema requirements, we price based on geographic volume and extraction frequency.
Yes. We provide a sample run covering a specific county or set of zip codes during the scoping process. This allows your underwriting team to validate field completeness, APN formats, and data quality before signing a contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily feed of local foreclosures or nationwide REO tracking — we scope, build, and operate the pipeline. Tell us what you need.
