🇺🇸 NHTSA US Vehicle Recalls Lookup

Bulk-query the NHTSA (National Highway Traffic Safety Administration) recalls database by make + model + year. Returns campaign number, recall date, component, summary, consequence, remedy, units affected. For auto industry pros, dealers, fleet operators, vehicle finance, and used-car platforms doing pre-sale recall checks.

💻 Code Example — Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/nhtsa-us-vehicle-recalls").call(run_input={
  "vehicles": [
    {
      "make": "Toyota",
      "model": "Camry",
      "year": 2022
    },
    {
      "make": "Ford",
      "model": "F-150",
      "year": 2023
    }
  ]
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

🌐 Code Example — cURL

curl -X POST "https://api.apify.com/v2/acts/nexgendata~nhtsa-us-vehicle-recalls/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"vehicles": [{"make": "Toyota", "model": "Camry", "year": 2022}, {"make": "Ford", "model": "F-150", "year": 2023}]}'

❓ FAQ

Q: How do I get started? Sign up at apify.com, grab your API token, and run via console, API, Python SDK, or any integration (Zapier, Make.com, n8n).

Q: What's the typical cost per run? Most runs finish under $0.20 for typical batch sizes. See pricing below.

Q: Is this actor maintained? Yes. NexGenData maintains 160+ Apify actors with regular updates. Bug reports via the Apify console issues tab get responses within 24 hours.

Q: Can I use the output commercially? Yes — you own the output data. The underlying public registry / API data sources have their own terms; check those for any restrictions.

💰 Pricing

• Actor Start: $0.005 per run
• Recall: $0.01 per recall

💡 Pricing Rationale

Anchor: NHTSA data is fully free direct from the API. We're a bulk wrapper — used-car platforms doing 500 pre-sale checks × $0.01 = $5 (threshold). Auto dealer doing 200 model-year checks/mo × $0.01 = $2 (under, stays free). Modest pricing because data source is free; the value is in the bulk-lookup pipeline.

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