API
Device Fingerprint and Bot Detection API
The Device Fingerprint and Bot Detection API provides developers with a powerful tool to generate unique device/browser fingerprints and detect suspicious or automated traffic. By analyzing user-agents, IPs, and headers, it helps distinguish between genuine users and bots with a risk scoring system.
The API caters to a wide range of programming languages, including but not limited to: C, Clojure, C#, GO, Java, JavaScript, Kotlin, Node.js, Objective-C, OCaml, PHP, PowerShell, Python, R, RapidQL, Ruby, Shell, and Swift.
Introduction
API Overview
This API enables applications to:
Create a unique fingerprint based on client metadata.
Assess the risk score of a request using heuristic checks.
Identify potential automation frameworks like headless browsers, puppeteer, and selenium.
Flag proxy or spoofed traffic with suspicious headers.
Designed for fraud prevention, bot mitigation, and session security, it’s easy to integrate via a simple POST JSON request.
Key Features:
Unique Fingerprints → Hash-based device/browser ID.
Risk Scoring Engine → Low, medium, high levels with detailed reasons.
Automation Detection → Detects puppeteer, selenium, headless browsers, etc.
Header Analysis → Flags spoofed/proxy-related headers.
Flexible Input → Accepts
snake_case
&camelCase
JSON keys.Lightweight Integration → Simple POST endpoint, no heavy SDKs needed.
Additional Highlights:
Helps secure login flows, e-commerce checkouts, and API endpoints.
Can be paired with CAPTCHAs or rate-limiting for extra security.
Provides real-time scoring to block, challenge, or allow traffic dynamically.
Ideal for fraud detection, spam prevention, and abuse monitoring.
Endpoints
- /fingerprint
Endpoints Overview
Fingerprint & Bot Detection
Detect fraudulent activity, automation, and bot traffic by analyzing device fingerprints, request headers, IPs, and user-agents. Useful for login systems, e-commerce, banking, and cybersecurity apps.
Endpoint:
GET & POST: /fingerprint
Parameters:
Name | Type | Required | Description |
---|---|---|---|
userAgent | string | ✅ Yes | The browser or device User-Agent string. |
ip | string | ✅ Yes | The client’s IPv4/IPv6 address. |
headers | object | Optional | A dictionary of request headers to strengthen fingerprinting. |
Python Requests Example:
import requests url = "https://device-fingerprint-bot-detection-api.p.rapidapi.com/fingerprint" payload = { "userAgent": "Mozilla/5.0 (X11; Linux)", "ip": "203.0.113.9", "headers": { "X-Test-Header": "boom" } } headers = { "content-type": "application/json", "x-rapidapi-host": "device-fingerprint-bot-detection-api.p.rapidapi.com", "x-rapidapi-key": "YOUR_RAPIDAPI_KEY" } response = requests.post(url, json=payload, headers=headers) print(response.json())
Response Example:
{ "fingerprint": "c6c8d81a59c5e8d1545de447ef5cc1816d41b11c98c4ce9fd50d318105b79c3e", "ip": "203.0.113.9", "risk": { "reasons": [], "risk_level": "low", "risk_score": 0 }, "user_agent": "Mozilla/5.0 (X11; Linux)" }
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Frequently Asked Questions
What is the Device Fingerprint & Bot Detection API used for?
It generates unique browser/device fingerprints and detects suspicious or automated traffic by analyzing user agents, IPs, and headers.
How does the risk scoring system work?
The API assigns a score based on missing or suspicious values, such as headless browsers, puppeteer/selenium usage, automation headers, or proxy-related flags. Scores map to low
, medium
, or high
risk levels.
Can I use this API to block bots in real time?
Yes. The API can be integrated into authentication, checkout, or API endpoints to dynamically allow, challenge, or block traffic based on risk levels.
Does the API support both snake_case and camelCase parameters?
Yes. The API accepts both naming styles (user_agent
or userAgent
), making it flexible for integration across different platforms.
Is the fingerprint unique for every device?
The fingerprint is a hash derived from available metadata (UA, IP, headers). While highly consistent, some changes in browser or network settings may result in a new fingerprint.