# Autotrader API with Structured Data for Research and Automat

**Use case:** 

autotrader api for AI agents and Apify MCP: structured, source-linked records with bounded inputs for research, automation, monitoring, and export.

## Input

```json
{
  "zipCode": "90064",
  "make": "Honda",
  "model": "Accord",
  "condition": "All",
  "searchRadius": 25,
  "minPrice": 10000,
  "maxPrice": 25,
  "minYear": 2018,
  "maxYear": 25,
  "maxMileage": 25,
  "searchUrls": [
    "https://www.autotrader.com/cars-for-sale/cars?zip=90064&makeCodeList=HONDA"
  ],
  "maxResults": 25,
  "enrichDetails": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

## Output

```json
{
  "year": {
    "label": "Year",
    "format": "integer"
  },
  "make": {
    "label": "Make",
    "format": "string"
  },
  "model": {
    "label": "Model",
    "format": "string"
  },
  "trim": {
    "label": "Trim",
    "format": "string"
  },
  "price": {
    "label": "Price (USD)",
    "format": "integer"
  },
  "priceRating": {
    "label": "Deal rating",
    "format": "string"
  },
  "mileage": {
    "label": "Mileage",
    "format": "integer"
  },
  "dealerName": {
    "label": "Seller / dealer name",
    "format": "string"
  },
  "dealerState": {
    "label": "Seller state",
    "format": "string"
  },
  "vdpUrl": {
    "label": "Listing URL",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Autotrader Scraper — US Car Listings, Prices & Dealers](https://apify.com/khadinakbar/autotrader-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/khadinakbar/autotrader-scraper) to learn more, explore other use cases, and run it yourself.


## 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.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/khadinakbar/autotrader-scraper.md

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).