NHTSA Vehicle Recalls Scraper

NHTSA Vehicle Recalls Scraper pulls structured data from NHTSA and returns it as a clean dataset you can export as JSON, CSV or Excel. It looks up the free NHTSA recall API for a given make, model and model year and returns one row per safety recall campaign, with the campaign number, affected component, summary, risk consequence, remedy, report date and over-the-air update flag. Useful for used-car checks, fleet compliance and dealer stock screening.

No API key, no login. Click Start and it works with the prefilled input.

What does NHTSA Vehicle Recalls Scraper do?

It queries NHTSA and returns one row per record, with only the fields that matter. Runs on the Apify platform, so you get an API endpoint, scheduling, monitoring and integrations (Zapier, Make, Google Sheets, webhooks) without maintaining any infrastructure.

Why use it?

• NHTSA data without the plumbing: no proxy setup, no pagination code, no scraping maintenance.
• Schedule it to monitor changes daily or weekly and trigger alerts on new records.
• Feed it straight into a spreadsheet, database, or an AI agent via the Apify API or MCP server.
• Runs in seconds and returns a typed dataset that is ready for analysis.

How to use it

1. Click Try for free / Start.
2. Leave the default input to see a sample run, or type your own values (see Input below).
3. Press Start and wait a few seconds.
4. Open the Output tab and download as JSON, CSV, Excel or HTML.

Input

Field	Type	Default	Description
make	string	"tesla"	Vehicle make as NHTSA spells it, e.g. tesla, honda, toyota.
model	string	"model 3"	Vehicle model as NHTSA spells it, e.g. model 3, civic, camry.
modelYear	integer	2024	Model year of the vehicle, e.g. 2024.
maxResults	integer	20	Maximum number of NHTSA recall records to return.

Example input:

{
  "make": "tesla",
  "model": "model 3",
  "modelYear": 2024,
  "maxResults": 5
}

Output

One item per record. Sample:

{
  "campaign_number": "24V284000",
  "manufacturer": "Tesla, Inc.",
  "make": "TESLA",
  "model": "MODEL 3",
  "model_year": "2024",
  "component": "AIR BAGS:SIDE/WINDOW:THORAX"
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Data fields

Field	Type	Meaning
campaign_number	string	Campaign Number
manufacturer	string	Manufacturer
make	string	Make
model	string	Model
model_year	string	Model Year
component	string	Component
summary	string	Summary
consequence	string	Consequence
remedy	string	Remedy
notes	string	Notes
report_received_date	string	Report Received
over_the_air_update	boolean	Over The Air Update
park_it	boolean	Park It
park_outside	boolean	Park Outside

How much does it cost to run?

This Actor uses pay-per-event pricing: you pay per result item pushed to the dataset, and nothing for an empty run. Each run is a few seconds of compute, so typical costs are fractions of a cent per run, and the Apify free tier covers plenty of testing.

Tips and advanced options

• Raise maxResults for a bigger pull; the Actor pages through the source for you.
• Schedule it (e.g. every morning) and combine with a webhook to get only the new records.
• Add the Actor to an AI agent through the Apify MCP server for natural-language queries.

FAQ, disclaimers and support

• Is this legal? It uses publicly available data from NHTSA. You are responsible for how you use the data and for complying with the source's terms.
• It returned nothing? Use the make and model as NHTSA spells them, e.g. make "tesla" and model "model 3", and a model year such as 2024.
• Something broken? Open an issue on the Actor's Issues tab. Data sources change and get fixed quickly.
• Need a custom variant (extra fields, a different source, a scheduled report)? Get in touch through the Issues tab.