📌 Device Fingerprint & Bot Detection API

Detect unique device/browser fingerprints and identify potential bots or automated tools. Support POST (JSON body) requests.

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• Get Started on RapidAPI
• API Docs on Dakidarts

Base URL

device-fingerprint-bot-detection-api.p.rapidapi.com

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Endpoint

🔹 POST /fingerprint

Generates a fingerprint from custom JSON input. Supports both snake_case and camelCase keys.

Request Body (JSON)

• user_agent or userAgent (string, optional) → Browser User-Agent.
• ip (string, optional) → Client IP address (defaults to request’s remote address).
• headers (object, optional) → Custom headers dictionary.

Example

curl -X POST http://127.0.0.1:5000/fingerprint \
  -H "Content-Type: application/json" \
  -d '{
        "userAgent": "Mozilla/5.0 (X11; Linux)",
        "ip": "203.0.113.9",
        "headers": {"X-Test-Header":"boom"}
      }'

Response

{
  "fingerprint": "2c9e2a54d6a5f0f6f83b4a88964b94f84b309c1e17c2d4f31cbf10c0f5a1c123",
  "ip": "203.0.113.9",
  "user_agent": "Mozilla/5.0 (X11; Linux)",
  "risk": {
    "risk_score": 0,
    "risk_level": "low",
    "reasons": []
  }
}

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🔍 Risk Detection

Risk score is computed using heuristic rules:

• Missing User-Agent → +40
• Suspicious UA keywords (headless, puppeteer, selenium, etc.) → +50
• AJAX automation header (X-Requested-With: XMLHttpRequest) → +20
• Proxy headers (X-Forwarded-For, CF-Connecting-IP) → flagged in reasons

Risk Levels

• low → 0–29
• medium → 30–69
• high → 70+