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apify-fingerprint-datapoints

Browser fingerprint datapoints collected by Apify

apify-fingerprint-datapoints v0.15.0 2.1M downloads/30d#3,264 on PyPI2,567
Permissive 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) Active released

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 on this page — 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

apify-fingerprint-datapoints on PyPI

pip

pip install apify-fingerprint-datapoints

uv

uv add apify-fingerprint-datapoints

poetry

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 the current Python release (>=3.8)
Install friction low — pure-Python wheel
Runtime dependencies none
Maintenance actively maintained — 9 days since the last release
Last repo commit
First released
Downloads 2,134,331/month — #3,264 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

Evidence: apify_fingerprint_datapoints-0.15.0-py3-none-any.whl

Keywords: apify, chrome, crawlee, crawler, fingerprints, scraper, scraping

Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: Libraries

Tags

browser fingerprint dataanti-scraping fingerprintsrealistic browser headersweb scraper detection evasionbrowser automation camouflagefingerprint generation dataHTTP header spoofing
web-scrapingfingerprintinganti-detection

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