apify-fingerprint-datapoints
Browser fingerprint datapoints collected by Apify
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
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 · maintenance · safety
permissive license (permissive) — 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.
last release 2026-08-05 (9 days) · last repo commit 2026-08-14 · 2,567 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,134,331 downloads/mo, #3,264 on PyPI
Alternatives
Verify before relying
pip install apify-fingerprint-datapoints
from apify_fingerprint_datapoints import get_fingerprints
fingerprints = get_fingerprints()
# Use fingerprint data to generate realistic browser identifiers- 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
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 on it.
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
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 identifiersVerify 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 | permissive license 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 |
| Classifiers | 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 |
Evidence: apify_fingerprint_datapoints-0.15.0-py3-none-any.whl
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See also browserforge · wafw00f · impit · fingerprints · cloakbrowser · curl-cffi · camoufox · rnet · wafer-py · apify