The National Highway Traffic Safety Administration maintains a public database of vehicle complaints filed by consumers. This data is valuable for automotive researchers, safety analysts, legal teams, and anyone investigating defect patterns. The NHTSA website lets you search manually, but extracting data at scale requires programmatic access.
Why automate this?
Automotive attorneys need complaint data to identify defect patterns before filing cases. Safety researchers analyze complaint trends to predict recalls. Automotive journalists track which models generate the most complaints in specific categories. Fleet managers monitor complaints for vehicles they own. Manual searches on complaints.nhtsa.dot.gov are slow and exports are limited. Automated extraction gives you structured, queryable complaint data at scale.
What data you get
The NHTSA Vehicle Complaints scraper returns structured records including:
- Complaint ID and date filed
- Vehicle year, make, and model
- Component category (brakes, airbags, fuel system, etc.)
- Complaint narrative text
- Crash and injury indicators
- Number of incidents reported
- NHTSA investigation status when applicable
You can filter by make, model, year range, component, or keyword in the complaint narrative. Results are returned as JSON.
How it works
The scraper queries the NHTSA complaints API and search interface. It handles pagination and returns normalized records. You control the scope with search parameters and a maxResults limit to cap output size and cost.
Common use cases
Personal injury attorneys search for complaints matching their client's vehicle and component before filing. Safety researchers aggregate complaint volumes by model year to identify statistical anomalies. Journalists covering automotive safety pull complaints for specific models under investigation. Automotive engineers use complaint language to understand how real-world failures are described by consumers.
Getting started
The actor runs on Apify. Provide a vehicle make and model, set your year range and result limit, and run. No account required. Output is structured JSON ready for analysis or database import.
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