IAAI Scraper

Extract comprehensive insurance auto auction data from IAAI including total loss vehicles, damage reports, and live auction bidding across North America's largest insurance vehicle marketplace. Access real-time lot information, condition assessments, and sale histories from insurance companies and fleet operators.
Monitor IAAI's extensive inventory of salvage, theft recovery, and clean title vehicles with detailed damage photography and condition codes. Capture auction schedules, buyer premium structures, and transportation costs that define the insurance auto auction industry.
  • 97.74% success rate (see success rate graph)
  • Live auction bidding tracking with real-time price updates and proxy bids
  • Insurance total loss classification extraction with damage severity coding
  • Multi-branch inventory monitoring across IAAI's North American network
  • Theft recovery and clean title vehicle identification and tracking
  • Buyer premium calculation and transportation cost estimation extraction

IAAI Scraper API Use Cases

Insurance Salvage Analytics
Analyze IAAI's insurance company selling patterns to understand total loss decision-making and vehicle disposition strategies. Track which insurers are liquidating specific vehicle types to identify market trends and potential partnership opportunities.
Theft Recovery Investment
Monitor IAAI's theft recovery auctions to identify clean title vehicles with minimal damage for profitable resale opportunities. Use theft recovery data to understand recovery patterns and optimize bidding strategies for high-value recovered vehicles.
Fleet Liquidation Intelligence
Track fleet operator vehicle dispositions through IAAI to understand fleet replacement cycles and maintenance patterns. Identify bulk purchase opportunities and analyze fleet vehicle condition trends for wholesale acquisition strategies.
Regional Market Expansion
Study IAAI's branch-specific auction performance and regional pricing variations to identify optimal markets for salvage business expansion. Use geographic data to understand local competition levels and buyer demographics across different auction locations.

Extractable IAAI Data Points

Rebrowser IAAI Scraper efficiently connects with IAAI unofficial API interface, allowing users to extract comprehensive data elements from the platform, such as:

IAAI Scraper Success Rate

The graph below contains real data based on our scraping operations. Latest update was 12 hours ago.
Ready-to-use IAAI Dataset Available Now!
Access clean, structured IAAI data instantly without building your own scraping infrastructure.
Millions of IAAI data points ready to download
Daily updates with fresh data
Flexible data delivery via API or CSV/JSON exports

Sample IAAI API Response Schema

FieldTypeDescriptionExample
stock_numberstringIAAI unique stock identifier for the auction lot35678901
vinstring17-character Vehicle Identification Number1HGBH41JXMN109186
yearnumberVehicle model year2021
makestringVehicle manufacturerToyota
modelstringVehicle model nameCamry
loss_typestringInsurance loss classificationCollision
damage_descriptionstringPrimary damage area descriptionFront End
current_bidnumberCurrent highest bid amount in USD5850
sale_statusstringCurrent auction statusLive Now
branch_locationstringIAAI branch location holding the vehicleChicago-North (IL)
seller_typestringType of selling entityInsurance Company
odometernumberVehicle mileage reading45230
title_typestringVehicle title classificationSalvage Certificate
auction_datestringScheduled or completed auction date2024-04-20T14:30:00Z
buyer_premiumnumberBuyer premium percentage fee10

Sample IAAI API Response

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{
  "stock_number": "35678901",
  "vin": "1HGBH41JXMN109186",
  "year": 2021,
  "make": "Toyota",
  "model": "Camry",
  "loss_type": "Collision",
  "damage_description": "Front End",
  "current_bid": 5850,
  "sale_status": "Live Now",
  "branch_location": "Chicago-North (IL)",
  "seller_type": "Insurance Company",
  "odometer": 45230,
  "title_type": "Salvage Certificate",
  "auction_date": "2024-04-20T14:30:00Z",
  "buyer_premium": 10
}
Devices Available
Profiles Created
Pages Crawled
Success Rate
IAAI Scraping Challenges Solved
Traditional web scraping methods often fail due to sophisticated anti-bot measures and dynamic content.
Companies waste thousands of dollars on unreliable solutions that break regularly and require constant maintenance.
Rebrowser eliminates these headaches with a robust architecture designed to handle even the most protected websites like IAAI.
Contact Us →
IP Blocking & CAPTCHAs
Websites detect and block scraping attempts through IP tracking and CAPTCHA challenges, causing project delays.
Dynamic JavaScript Content
Modern sites load content dynamically with JavaScript, making traditional scraping methods ineffective.
Maintenance Nightmare
Websites change structure frequently, breaking scrapers and requiring constant code updates and debugging.
Scaling Difficulties
Managing high-volume scraping operations requires complex infrastructure and load balancing to avoid detection.

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Frequently Asked Questions

Absolutely. Rebrowser's architecture is specifically designed for high-concurrency operations, supporting thousands of simultaneous connections with intelligent request distribution. Our system dynamically allocates resources across our global infrastructure to maintain optimal performance even during peak usage periods, making it ideal for time-sensitive applications requiring rapid data collection.

Rebrowser provides official client libraries for Python, JavaScript/Node.js, Java, PHP, Ruby, Go, and .NET, making integration seamless regardless of your technology stack. Additionally, our RESTful API design allows for easy implementation in any language capable of making HTTP requests, with comprehensive documentation available for custom implementations.

Rebrowser can extract data from virtually any public-facing website, including e-commerce platforms, social media networks, review sites, news outlets, financial portals, travel booking systems, real estate listings, job boards, business directories, and government databases. Our specialized extractors are optimized for high-value data sources across various industries.

Rebrowser implements a multi-layered data verification system that includes automated structure validation, content consistency checks, sampling verification, and anomaly detection algorithms. For critical applications, we also offer human-in-the-loop verification options to ensure the highest levels of data accuracy and reliability.

Our platform includes specialized batch processing capabilities designed for large-scale extraction jobs. Features include asynchronous job queuing with webhooks for completion notifications, distributed processing across our global infrastructure, intelligent workload partitioning for optimal resource utilization, and efficient data compression and streaming for minimal transfer overhead.