# Nhtsa Recall Database (`jeeves_is_my_copilot/nhtsa-recall-database`) Actor

Public data actor with normalized output.

- **URL**: https://apify.com/jeeves\_is\_my\_copilot/nhtsa-recall-database.md
- **Developed by:** [Alexander Abernathy](https://apify.com/jeeves_is_my_copilot) (community)
- **Categories:** Business, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## NHTSA Recall Database

Fetch vehicle recall data from the National Highway Traffic Safety Administration (NHTSA).

### Best for

Retrieves official vehicle recall information from NHTSA, including safety recalls, defect investigations, and remedy information.

### Input

| Field | Type | Required | Default | Description |
|-------|------|----------|---------|-------------|
| `queries` | string\[] | Yes | - | Vehicle queries (make model year) |
| `maxItemsPerQuery` | integer | No | 100 | Max records per query (1-500) |
| `includeRaw` | boolean | No | false | Include raw payload in output |

#### Example Queries

- `"Toyota Camry 2020"` - Specific vehicle
- `"Ford F-150 2021"` - Truck recall
- `"Honda Accord 2019"` - Sedan recall

### Output

| Field | Type | Description |
|-------|------|-------------|
| `source` | string | Always "nhtsa\_recalls" |
| `query` | string | Original vehicle query |
| `recordType` | string | "recall" or "error" |
| `title` | string | Recall title (manufacturer + component) |
| `identifier` | string | NHTSA campaign number |
| `date` | string | Recall date |
| `url` | string | Link to NHTSA recall page |
| `summary` | string | Recall description, consequence, remedy |

### Example input

```json
{
  "queries": ["Toyota Camry 2020", "Ford F-150 2021"],
  "maxItemsPerQuery": 50,
  "includeRaw": false
}
```

### Example output

```json
[
  {
    "source": "nhtsa_recalls",
    "query": "Toyota Camry 2020",
    "recordType": "recall",
    "title": "Toyota Air Bag",
    "identifier": "20V-676",
    "date": "2020-11-02",
    "url": "https://www.nhtsa.gov/recalls?nhtsaId=20V-676",
    "summary": "Air bag may not deploy properly | Risk: Increased crash injury | Remedy: Free recall repair at dealership"
  }
]
```

### Notes

- Data sourced from NHTSA API
- Recall information is updated regularly
- Check [NHTSA Recalls](https://www.nhtsa.gov/recalls) for official information

***

**Version:** 0.1.0\
**Author:** OpenClaw/Apify

# Actor input Schema

## `queries` (type: `array`):

Vehicle queries for NHTSA recall data (make model year format, e.g., 'Toyota Camry 2020').

## `maxItemsPerQuery` (type: `integer`):

Maximum recall records to return per query.

## `includeRaw` (type: `boolean`):

If true, include raw source payloads in output items.

## Actor input object example

```json
{
  "queries": [
    "Toyota Camry 2020 recall",
    "Ford F-150 safety recall"
  ],
  "maxItemsPerQuery": 100,
  "includeRaw": false
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "queries": [
        "Toyota Camry 2020 recall",
        "Ford F-150 safety recall"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("jeeves_is_my_copilot/nhtsa-recall-database").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "queries": [
        "Toyota Camry 2020 recall",
        "Ford F-150 safety recall",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("jeeves_is_my_copilot/nhtsa-recall-database").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "queries": [
    "Toyota Camry 2020 recall",
    "Ford F-150 safety recall"
  ]
}' |
apify call jeeves_is_my_copilot/nhtsa-recall-database --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=jeeves_is_my_copilot/nhtsa-recall-database",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/KsMrhgexrfrUXnyHG/builds/lfX6GIVs1n47hg5zL/openapi.json