--- id: apify-fingerprint-datapoints version: "0.15.0" license: Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for… (full text in the JSON record) license_treatment: permissive maintenance: active --- # apify-fingerprint-datapoints — Browser fingerprint datapoints collected by Apify License: permissive · Maintenance: active · Downloads: 2.1M/mo ## What it is and what it does This package is a data resource from Apify containing collected browser fingerprint datapoints used to generate realistic browser identifiers and HTTP headers. It sits within a larger fingerprinting toolkit ecosystem (header-generator, fingerprint-generator, fingerprint-injector) but focuses specifically on providing the underlying datapoints needed for fingerprint generation. The package is designed for developers building web scrapers and browser automation tools who need to avoid detection by anti-scraping systems. Rather than using obvious or repeated identifiers, you can use these datapoints to construct fingerprints that mimic real browser behavior, making automated requests appear as legitimate user traffic. Use it for: - Generate realistic browser fingerprints for web scrapers to avoid detection by anti-bot systems - Create varied HTTP headers that match real browser profiles for automated requests - Build fingerprint datasets for testing anti-scraping defenses in your own applications - Supply datapoints to fingerprint-generator or similar tools in the fingerprint-suite ecosystem - Research browser fingerprinting techniques and understand what datapoints distinguish real users ## Worth the install? AI-flagged interpretation of the facts above — verify before relying. Provides a dataset of browser fingerprint datapoints for generating realistic HTTP headers and browser identifiers to avoid detection in web scraping and automation scenarios. Yes, if you are building web scrapers or browser automation tools that need to evade detection. The package has low install friction, no dependencies, active maintenance, and a permissive license. However, verify first that this is a data package and not a wrapper—the fact sheet does not confirm whether it includes generation APIs or is purely a datapoint resource. Check the documentation to ensure it integrates with your chosen browser automation framework. ## Install pip install apify-fingerprint-datapoints uv add apify-fingerprint-datapoints poetry add apify-fingerprint-datapoints ## Installing apify-fingerprint-datapoints Before you install: Low install friction with no runtime dependencies. Actively maintained as of 9 days ago with a stable release history since March 2025. Supports Python 3.8 through 3.13. License in practice: Licensed under Apache License 2.0, a permissive open-source license. You may use, modify, and distribute the package freely provided you include a copy of the license and note any changes made. Quickstart: pip install apify-fingerprint-datapoints from apify_fingerprint_datapoints import get_fingerprints fingerprints = get_fingerprints() # Use fingerprint data to generate realistic browser identifiers Verify before relying: - Exact API surface and available functions beyond the package name itself - Whether this is a data-only package or includes generation/injection utilities - Integration requirements with Playwright, Puppeteer, or other browser automation frameworks - Data format and structure of the fingerprint datapoints provided ## Package facts - License: Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for… (full text in the JSON record) (permissive) - Python support: supports_current - Install friction: low - Maintenance: active - Downloads: 2.1M/month (top 5,000 on PyPI) - Known vulnerabilities: none known ## Tags browser fingerprint data, anti-scraping fingerprints, realistic browser headers, web scraper detection evasion, browser automation camouflage, fingerprint generation data, HTTP header spoofing, web-scraping, fingerprinting, anti-detection [View on SkillFed](https://skillfed.io/packages/apify-fingerprint-datapoints) · [View on PyPI](https://pypi.org/project/apify-fingerprint-datapoints/)