🚗 NHTSA Vehicle Recalls Normalizer

Search the US National Highway Traffic Safety Administration (NHTSA) recall database by vehicle make, model, and year. Returns normalized, enriched recall data — not just raw API output.

✨ What Makes This Different

Most NHTSA recall scrapers dump raw API data. This actor normalizes and enriches every record:

Feature	Raw API	This Actor
Manufacturer names	"Honda (American Honda Motor Co.)"	"Honda" — canonical
Component classification	"ELECTRICAL SYSTEM:BODY CONTROL MODULE:SOFTWARE"	"Electrical" + hierarchy
Date format	"10/12/2020" (US)	"2020-10-12" (ISO 8601)
Risk assessment	No	Critical / High / Moderate / Low
Park-it alerts	Buried boolean	Surfaced + tallied

📥 Input Parameters

Parameter	Type	Required	Description
searchMake	string	✅ Yes	Vehicle make, e.g. HONDA, TOYOTA, TESLA
searchModel	string	No	Model, e.g. ACCORD, CAMRY, MODEL 3
searchYear	string	No	Model year, e.g. 2023
maxResults	integer	No	Max records (1-500, default 50)

Example Input

{
  "searchMake": "TOYOTA",
  "searchModel": "CAMRY",
  "searchYear": "2023",
  "maxResults": 25
}

📤 Output

Three outputs are produced:

1. Dataset — Full normalized JSON records with raw + normalized fields
2. OUTPUT (KVS) — Human-readable formatted table with risk distribution and component breakdown
3. STATS (KVS) — Machine-readable statistics (risk counts, component categories, campaign IDs)

Example Output Record

{
  "nhtsaCampaignNumber": "23V432000",
  "reportDate": "15/06/2023",
  "manufacturer": "Toyota Motor Engineering & Manufacturing",
  "make": "TOYOTA",
  "model": "CAMRY",
  "modelYear": "2023",
  "component": "WHEELS:LUGS/NUTS/BOLTS/STUDS",
  "summary": "Toyota is recalling certain 2023 Camry vehicles...",
  "consequence": "Loose lug nuts can result in wheel detachment...",
  "remedy": "Dealers will inspect and tighten lug nuts...",
  "parkIt": true,
  "parkOutSide": false,
  "nManufacturer": "Toyota",
  "nMake": "Toyota",
  "nComponentCategory": "Wheels/Tires",
  "nComponentSubsystem": "Lugs/Nuts/Bolts/Studs",
  "nComponentDetail": "",
  "nReportDate": "2023-06-15",
  "nRiskScore": "High"
}

🎯 Use Cases

• Insurance companies — Risk assessment and underwriting
• Fleet managers — Proactive maintenance scheduling
• Auto manufacturers — Competitive intelligence
• Used car dealers — Vehicle history research
• Law firms — Class action and liability research
• Auto journalists — Recall trend analysis

📊 Data Source

Data provided by the NHTSA API — the official US National Highway Traffic Safety Administration vehicle recall database. Free to use, no API key required. Updated daily.

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Built by Chris The Dev — More Actors on Apify Store