IAAI Dataset
Observed IAAI insurance auto auction listings covering total loss transactions, theft recovery sales, and fleet liquidation records. Includes damage assessment and regional auction fields where available.
Pre-processed insurance auto auction data featuring IAAI loss classifications and geographic fields. Validate category coverage and freshness against your use case before drawing population-wide conclusions.
Data Entities
Explore the different data entities available in this dataset. Each entity represents a distinct data type with its own schema and views.
1,027,826 records80 fieldsUpdated 21 days ago
IAAI insurance auto auction listings with vehicle details, damage assessments, bidding data, title information, and branch locations for total loss, theft recovery, and fleet vehicles.
IAAI Dataset Use Cases
Insurance Claims Optimization
Help insurance companies study total loss thresholds and vehicle disposition strategies using observed IAAI auction performance data. Validate coverage for the target segment before using it for salvage value modeling.
Automotive Security Research
Study theft recovery patterns and vehicle security indicators in the available IAAI theft recovery listings, subject to category coverage and freshness.
Fleet Management Strategy
Optimize fleet replacement and disposal strategies using IAAI's fleet liquidation data and vehicle lifecycle analytics. Understand optimal disposal timing and vehicle condition patterns to maximize fleet asset recovery and minimize total cost of ownership.
Salvage Market Investment
Study regional salvage activity and vehicle-type distributions in observed IAAI listings. Confirm coverage before using the data for investment or facility-location decisions.
Advanced IAAI Web Scraper Available Now!
Get currently observed IAAI data with custom processing to fit your data pipelines.
Ongoing updates from IAAI, subject to source availability
Custom data processing to fit your specific pipelines
Scalable infrastructure that bypasses anti-bot measures
Datasets Available
Data Points
Records Processed
Accuracy Rate
IAAI Dataset Benefits
Traditional data acquisition methods can be time-consuming, expensive, and often result in incomplete datasets.
Companies waste valuable resources and development time creating and maintaining their own data collection systems.
Rebrowser's ready-to-use IAAI dataset provides instant access to clean, structured data without any infrastructure headaches.
Contact Us →Immediate Availability
Access ready-to-use data instantly instead of waiting weeks or months to build your own data collection pipeline.
Structured & Clean Data
All datasets are thoroughly processed, normalized, and validated to ensure high-quality, consistent information.
Zero Maintenance
We handle all updates and data freshness, allowing you to focus on using the data rather than collecting it.
Cost Efficiency
Save thousands in development and infrastructure costs by leveraging our pre-built dataset instead of creating your own.
Disclaimer: Rebrowser is an independent data provider and is not affiliated with, endorsed by, or sponsored by IAAI. Any trademarks are the property of their respective owners. This dataset is compiled from publicly available information; we do not request or collect IAAI user credentials. By using this dataset, you agree to comply with IAAI's Terms of Service and all applicable laws and regulations. Images, logos, descriptions, and other materials included in this dataset remain the intellectual property of their respective owners and are provided solely for informational purposes. Rebrowser makes no warranties regarding the accuracy, completeness, or legality of the data and assumes no liability for how the data is used. You are solely responsible for ensuring that your use of this dataset, including any images or copyrighted materials, does not infringe on the rights of any third party.
Free Samples
We publish daily data exports of IAAI to popular platforms for developers and data scientists.
Explore free samples, prototype with real data, or integrate directly into your workflows — no account required.
Other datasets
rentals
Extract hotel rates, availability, property details, and guest reviews from global booking platform
automotiveFeatured
Extract vehicle listings, dealer inventory, expert reviews, and pricing data from Cars.com's comprehensive automotive marketplace
business
Extract company profiles, funding rounds, investor data, and acquisition details from the world's premier startup database
real estate
Extract property listings, pricing history, neighborhood data, and real estate market insights from millions of active and sold homes
e-commerce
Extract product prices, inventory levels, reviews, and seller data from millions of Walmart listings across all categories
Elevate Your Data Strategy Today
Our specialized team focuses exclusively on crafting bespoke data solutions for organizations with specific intelligence requirements.
Receive your first custom dataset sample within one week - engineered to your exact specifications and business logic.
Skip the sales pipeline – communicate directly with our technical team to accelerate understanding and implementation.
Custom sample delivered in 7 days
Access to any website's structured data
Formats optimized for your systems
Frequently Asked Questions
This dataset provides observed IAAI auction records including total loss vehicles, theft recoveries, and fleet liquidations with damage reports, bidding data, and sale results. Filter by the supported fields shown in Explorer. Specialty/RV coverage is monitored separately and may lag general automotive inventory.
Both are major insurance auto auction platforms, but they differ in branch networks, fee structures, and buyer premiums. This dataset focuses on IAAI's marketplace, allowing you to analyze their specific inventory patterns, pricing dynamics, and seller relationships independently or in comparison.
The dataset includes current bids, final sale prices, and estimated pre-damage values for total loss vehicles. Analyze how different loss types, damage descriptions, and vehicle attributes affect auction outcomes to build accurate salvage valuation models.
IAAI auctions include theft recovery vehicles with clean titles and varying levels of damage. The dataset tracks these listings separately, allowing you to identify high-value recovery opportunities and analyze recovery patterns by vehicle type and location.
Listings with branch data identify the IAAI branch holding the vehicle. Filter by branch to analyze observed regional auction activity and compare pricing across locations.
The dataset includes loss type classifications (collision, flood, theft, etc.) and damage descriptions (front end, rear end, side, etc.). Analyze damage patterns across vehicle types, study how specific damage categories affect sale prices, and build damage-based valuation models.
Compare estimated pre-damage values against actual auction prices, factoring in damage severity and repair cost estimates. Filter for specific title types and condition categories to find vehicles with favorable rebuild economics.
Each lot identifies the seller type — insurance company, fleet operator, dealer, or individual. Analyze selling patterns by source, study how seller type affects vehicle quality and pricing, and identify which insurance companies are the most active sellers.
Observed listings may include scheduled auction dates and current sale status. Track available upcoming sales and analyze auction timing, subject to source coverage and ingest latency.
Yes — insurers and claims professionals use the dataset to benchmark total loss valuations against actual auction outcomes. Analyze recovery rates by vehicle type, optimize total loss thresholds, and improve salvage value predictions for claims settlement.
The dataset includes title classifications such as salvage certificate, clean title, rebuilt, and flood. Filter by title type to focus on specific vehicle categories and analyze how title status influences bidding behavior and final sale prices.
Buyer premium percentages and fee structures are included in the dataset. Factor these into sale prices to calculate true acquisition costs, compare net pricing across branches, and optimize bidding strategies that account for all fees.
The dataset is refreshed regularly, but freshness can vary by inventory category. General and specialty/RV freshness are measured separately; no per-category completeness guarantee is currently made.
Fleet managers use the dataset to benchmark disposal values for fleet vehicles and optimize end-of-life vehicle strategies. Analyze how fleet vehicles perform at auction compared to insurance total losses and study optimal disposal timing.
Data is available in CSV, JSON, XLSX, Parquet, and NDJSON formats. Apply filters by vehicle type, location, damage category, or date range before exporting to get the specific subset needed for your research or business application.
