```yaml
product: AlterLab
title: CarGurus Data API: Extract Structured JSON in 2026
category: Tutorials
comparison_context: "AlterLab is an alternative to Firecrawl, ScrapingBee, and Bright Data."
last_updated: 2026-06-29
canonical_facts:
  - "Learn how to retrieve structured CarGurus data through a modern data API. Get JSON with make, model, year, price, mileage and location using AlterLab's Extract API. Simple, compliant, and built for developers."
source_url: https://alterlab.io/blog/cargurus-data-api-extract-structured-json-in-2026
```

## Disclaimer
This guide covers extracting publicly accessible data. Always review a site's robots.txt and Terms of Service before scraping.

## TL;DR
Extract CarGurus data by sending a URL and a JSON schema to the AlterLab Extract API. The response is validated JSON containing make, model, year, price, mileage and location. No HTML parsing required.

## Why CarGurus data?
Public CarGurus listings provide real‑world automotive intelligence. Use cases include AI training datasets, market analytics and competitive monitoring. The data is openly displayed on listing pages, making it suitable for programmatic collection when done responsibly.

## What data is available?
Typical public fields you can extract:
- make
- model
- year
- price
- mileage
- location

Each field appears as plain text on the page, allowing a schema‑driven extractor to pull the values accurately.

## The extraction approach
Building a scraper with raw HTTP requests or tools like Playwright often breaks when site markup changes or anti‑bot layers trigger. A data API abstracts those concerns. AlterLab provides automatic bot rotation, proxy rotation and structured output without writing fragile CSS selectors. The result is predictable, typed JSON that downstream pipelines can rely on.

- **99.2%** — Extraction Accuracy
- **1.4s** — Avg Response Time
- **100%** — Typed JSON Output

## Extraction pipeline (step flow)
1. **Define Schema** — 
2. **Call Extract API** — 
3. **Receive Typed JSON** — 

## Quick start with the Extract API
Begin by installing the AlterLab client. Follow the Getting started guide for setup details.

### Python example
```python title="extract_cargurus-com.py" {5-12}
import alterlab

client = alterlab.Client("YOUR_API_KEY")

schema = {
  "type": "object",
  "properties": {
    "make": {"type": "string", "description": "The make field"},
    "model": {"type": "string", "description": "The model field"},
    "year": {"type": "string", "description": "The year field"},
    "price": {"type": "string", "description": "The price field"},
    "mileage": {"type": "string", "description": "The mileage field"},
    "location": {"type": "string", "description": "The location field"}
  }
}

result = client.extract(
    url="https://cargurus.com/example-page",
    schema=schema,
)
print(result.data)
```

### cURL example
```bash title="Terminal"
curl -X POST https://api.alterlab.io/v1/extract \
  -H "X-API-Key: YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://cargurus.com/example-page",
    "schema": {"properties": {"make": {"type": "string"}, "model": {"type": "string"}, "year": {"type": "string"}}}
  }'
```

### Batch processing example
```python title="batch_extract_async.py" {5-15}
import alterlab
import asyncio

client = alterlab.Client("YOUR_API_KEY")

urls = [
  "https://cargurus.com/listing1",
  "https://cargurus.com/listing2",
  "https://cargurus.com/listing3"
]

async def extract_one(url):
    schema = {"properties": {"make": {"type": "string"}, "model": {"type": "string"}, "year": {"type": "string"}, "price": {"type": "string"}}}
    resp = await client.extract(url=url, schema=schema)
    return resp.data

results = await asyncio.gather(*[extract_one(u) for u in urls])
for data in results:
    print(data)
```

The API returns JSON that matches the schema exactly, eliminating post‑processing.

## Define your schema
The `schema` parameter describes the shape of the output. Each property includes a type and optional description. AlterLab validates the response against this schema and returns a typed object. Example output:

```json
{
  "make": "Toyota",
  "model": "Camry",
  "year": "2022",
  "price": "$24,500",
  "mileage": "38,200",
  "location": "Austin, TX"
}
```

## Handle pagination and scale
Individual listings are fetched independently, but large campaigns benefit from batching. Use the `/batch` endpoint or asynchronous calls to increase throughput while respecting rate limits. Cost scales with the number of requests, so monitor usage on the pricing page.

Link to pricing for cost details: /pricing

## Internal link summary
- For project setup, see the Getting started guide: /docs/quickstart/installation
- Full API reference is available at: /docs/api/extract

## Infographic: Try the extractor
<div data-infographic="try-it" data-url="https://cargurus.com" data-description="Extract structured automotive data from CarGurus"></div>

## Key takeaways
- Use a structured data API to avoid fragile HTML parsing.
- Submit a clear schema to define the fields you need.
- Validate output with typed JSON that matches your expectations.
- Scale responsibly with batching and rate‑limit awareness.

## Frequently Asked Questions

### Is there an official CarGurus data API?

CarGurus provides a partner API for approved integrations, but most developers rely on public page scraping. AlterLab fills that gap with a structured data extraction service that respects robots.txt and rate limits.

### What CarGurus data can I extract with AlterLab?

Publicly listed automotive fields such as make, model, year, price, mileage and location are available. The Extract API returns validated typed JSON based on the schema you define.

### How much does CarGurus data extraction cost?

Pricing is pay‑as‑you‑go with no minimums. See the pricing page for current rates and volume discounts.

## Related

- [Lowe's Data API: Extract Structured JSON in 2026](<https://alterlab.io/blog/lowe-s-data-api-extract-structured-json-in-2026>)
- [How to Migrate from Scrapfly to AlterLab: Step-by-Step Guide \(2026\)](<https://alterlab.io/blog/how-to-migrate-from-scrapfly-to-alterlab-step-by-step-guide-2026>)
- [Scaling Web Scraping Pipelines for High-Volume Data](<https://alterlab.io/blog/scaling-web-scraping-pipelines-for-high-volume-data>)