Turo Daily Pricing Parser

Apify actor for scraping vehicle daily pricing data from Turo.com via their API.

Features

• ✅ Uses RESIDENTIAL proxies to bypass Cloudflare
• ✅ Randomized User-Agent and headers for each request
• ✅ Fresh proxy for every request (via session ID rotation)
• ✅ Automatic retry on failures
• ✅ Extracts daily pricing data from Turo API
• ✅ Optimized for 128 MB memory usage
• ⚡ Fast: Direct API requests without warmup (~3 seconds to first result)

Input

{
  "vehicleUrl": "https://turo.com/gb/en/suv-rental/united-kingdom/edinburgh/land-rover/discovery-sport/2224003?endDate=12%2F21%2F2025&endTime=10%3A00&startDate=12%2F18%2F2025&startTime=10%3A00",
  "startDate": "01/15/2025",
  "endDate": "02/15/2026",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  },
  "maxRetries": 3
}

Parameters:

• vehicleUrl (required): Full Turo vehicle URL
• startDate (optional): Start date in MM/DD/YYYY format (e.g., "01/15/2025")
• endDate (optional): End date in MM/DD/YYYY format (e.g., "02/15/2026")
• proxyConfiguration: Proxy settings (defaults to RESIDENTIAL)
• maxRetries: Number of retry attempts on failure (default: 3)

Date Priority:

1. Input parameters (startDate and endDate) - if both are specified
2. URL parameters - if present in the URL
3. Default values - 30 days from today to 13 months ahead

Output

{
  "url": "https://turo.com/.../2224003",
  "vehicleId": "2224003",
  "dateRange": {
    "start": "12/18/2025",
    "end": "12/21/2025"
  },
  "pricingData": {
    "calendarCurrencyHeader": "All prices are in GBP",
    "dailyPricingResponses": [
      {
        "date": "2025-12-18",
        "price": 73.00,
        "priceWithCurrency": {
          "amount": 73.00,
          "currencyCode": "GBP"
        },
        "wholeDayUnavailable": false
      }
    ]
  },
  "scrapedAt": "2025-12-04T12:00:00"
}

Local Run

# Install dependencies
pip install -r requirements.txt

# Create INPUT.json
echo '{
  "vehicleUrl": "https://turo.com/gb/en/suv-rental/united-kingdom/edinburgh/land-rover/discovery-sport/2224003"
}' > storage/key_value_stores/default/INPUT.json

# Run
python main.py

Deployment

# Push to Apify
apify push

# Run on Apify (128 MB memory)
apify call --memory=128

API Endpoint

The actor uses the official Turo API endpoint:

GET https://turo.com/api/vehicle/daily_pricing?vehicleId={ID}&start={DATE}&end={DATE}

Technical Details

• Language: Python 3.11
• Framework: Apify SDK
• Proxy: Apify Residential (rotation per request)
• Memory: 128 MB (default)
• Timeout: 30 seconds per request