Browser fingerprint dataset for automation workflows

Structured fingerprint records for browser automation, QA, and testing. Test your logic against diverse browser, device, and environment profiles using consistent, ready-to-use data — designed to bypass anti-bot systems.
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How to get started

  • Define your use case and determine what browser, device, and environment data you need.
  • Specify the required dataset size, platform coverage, and delivery format for your workflow.
  • Contact sales to get access to the dataset package that matches your needs.

Please note that this page provides only a brief overview. For more detailed information, contact sales using the link above.

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What each record includes

Each fingerprint record contains structured browser, device, and environment data designed for automation and testing workflows. Records can include browser properties, platform details, screen settings, navigator fields, language and timezone data, and other technical attributes needed for consistent testing across different browser and device profiles.

Browser profile
Device and screen data
Location and language settings
Canvas fingerprint
WebGL fingerprint
Audio fingerprint
Fonts and text rendering
Media and codec support
Browser features
Connection data

What is a browser fingerprint dataset

A browser fingerprint is a combination of browser, device, and environment properties such as screen resolution, fonts, plugin data, navigator fields, and other technical signals.

2Captcha provides access to a large, regularly updated dataset of fingerprint records based on real-device profiles. Designed for automation and testing workflows, it helps teams work with structured profile data, cover a wide range of browser environments, and test their systems more consistently across different scenarios.

Use cases

Data helps teams build realistic test scenarios, work across different environment combinations, and evaluate system behavior using structured, consistent records.

Automation Testing

Run automation in conditions that feel closer to production, not just controlled internal setups. Use realistic browser and device profiles to uncover brittle flows sooner and build automation that performs more reliably across varied environments.

QA Workflows

Bring more structure and confidence to QA. Work with consistent fingerprint data to cover more browser and device combinations, reduce noise in validation, and move through regression cycles with greater speed and clarity.

Profile-Based Validation

Put profile-aware logic under meaningful pressure. Test how your systems respond to changing browser, device, and environment conditions, and identify edge cases before they turn into visible failures.

Research and Analysis

Turn structured fingerprint records into practical engineering insight. Reveal hidden compatibility gaps, compare profile groups in detail, and spot environment-specific risks early enough to improve both testing strategy and product quality.

Coverage across browsers, devices, and platforms

The dataset provides broad coverage across browser, device, and platform combinations found in real-world environments. It includes desktop and mobile profiles, major browser families, different operating systems, and a wide range of device characteristics to support testing across diverse scenarios.

FAQ

What is browser fingerprinting?
Browser fingerprinting is a method of identifying a browser or device based on technical signals such as screen size, fonts, language, timezone, navigator properties, WebGL data, and other environment characteristics.
What is FingerprintJS?
FingerprintJS is a browser fingerprinting library that collects browser and device signals and combines them into an identifier used in analytics, fraud prevention, and device recognition systems.
What is device fingerprinting?
Device fingerprinting is the process of recognizing a device by combining browser, hardware, and environment signals rather than relying only on cookies or IP addresses.
What is mobile device fingerprinting?
Mobile device fingerprinting applies the same approach to phones and tablets, using mobile-specific signals such as OS type, screen properties, touch support, and browser characteristics.
What is a WebGL fingerprint?
A WebGL fingerprint is based on graphics-related signals collected through the browser rendering stack, including GPU-dependent output and WebGL properties that differ across environments.
What is fingerprint detection?
Fingerprint detection means identifying whether a website or script collects browser and device signals that can be used for browser fingerprinting and environment analysis.
What is browser bot detection?
Browser bot detection is used to separate automated browser activity from normal user activity by analyzing browser behavior, environment consistency, and technical signals.
What is a fingerprint switcher?
A fingerprint switcher is a tool or workflow used to apply different browser and device profiles in automation, testing, and controlled environment scenarios.
What is FingerprintJS2?
FingerprintJS2 is an earlier browser fingerprinting library that collects client-side attributes to generate a browser identifier and is mostly referenced in older implementations.
What is a proxy fingerprint?
A proxy fingerprint refers to network- and environment-related signals associated with proxy usage, including how proxy-based traffic appears to websites, detection systems, and security pipelines.
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