Skip to main content

The spider_fingerprint project for python.

Project description

spider_fingerprint_py

Python bindings for the spider_fingerprint Rust crate, leveraging PyO3 for improved type safety, reliability, and performance.

spider_fingerprint_py allows you to easily generate browser fingerprint and stealth scripts directly from Python. It's perfect for effective automation, web scraping, bot-test evasion, and security testing workflows.


Installation

Install from PyPI:

pip install spider_fingerprint_py

Quick Start

Here's how to generate a stealth emulation JavaScript in a few lines of Python:

from spider_fingerprint_py import (
    PyViewport,
    PyTier,
    PyFingerprintMode,
    generate_emulation_script,
)

user_agent = (
    "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) "
    "AppleWebKit/537.36 (KHTML, like Gecko) "
    "Chrome/120.0.0.0 Safari/537.36"
)

# Random viewport simulating a real user
viewport = PyViewport.random()

# Generate the fingerprint spoofing script
script = generate_emulation_script(
    user_agent=user_agent,
    tier=PyTier.Full,
    fingerprint_mode=PyFingerprintMode.Basic,
    dismiss_dialogs=True,
    viewport=viewport,
    eval_script=None
)

print("Stealth Emulation JavaScript:\n")
print(script)

Documentation

Below you'll find complete reference documentation for classes, enums, and functions provided by the spider_fingerprint_py Python library:


PyViewport (class)

Represents viewport configurations for browser fingerprint emulation.

Attribute Type Description
width int Viewport width in pixels
height int Viewport height in pixels
device_scale_factor float or None Device pixel ratio (e.g., 2.0 for Retina)
emulating_mobile bool Enable emulation of mobile-device behavior
is_landscape bool Landscape (True) or Portrait (False) orientation
has_touch bool Simulate touch-enabled devices

Usage Example:

viewport = PyViewport(1280, 720)
viewport.emulating_mobile = True
viewport.device_scale_factor = 2.0
viewport.is_landscape = False
viewport.has_touch = True

PyTier (enum)

Controls the aggressiveness and scope of stealth applied through fingerprint spoofing.

Variant Description
Basic Basic stealth spoofing capabilities including GPU/WebGL spoofing.
BasicWithConsole Basic stealth mode combined with console output (for debugging).
BasicNoWebgl Basic stealth spoofing without WebGL spoofing techniques.
Mid Intermediate stealth protections with improved spoofing coverage.
Full Comprehensive stealth protections covering most fingerprinting.
None No spoofing; original browser fingerprint exposed fully.

Example:

tier = PyTier.Full

PyAgentOs (enum)

Defines operating system target profiles for browser fingerprint emulation.

Variant Description
Linux Linux operating system fingerprint and profile emulation.
Mac macOS fingerprint and browser environment emulation.
Windows Windows operating system fingerprint emulation.
Android Android device fingerprint and browser emulation.

Example:

agent_os = PyAgentOs.Mac

Testing

  1. maturin develop
  2. pytest -s test_spider_fingerprint.py

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

spider_fingerprint_py-0.0.1.tar.gz (20.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

spider_fingerprint_py-0.0.1-cp313-cp313-macosx_11_0_arm64.whl (253.4 kB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

File details

Details for the file spider_fingerprint_py-0.0.1.tar.gz.

File metadata

File hashes

Hashes for spider_fingerprint_py-0.0.1.tar.gz
Algorithm Hash digest
SHA256 f127d963fa6a4c9d7169fa0f2d18ca00a76c9d8e5bae83dcd3e751b3372fef76
MD5 8159c40a067d993d82c544668198fa7c
BLAKE2b-256 f06673c9be1897a2b9745870c7f157e19ebd6318e421f9e391d32e4c31c36d20

See more details on using hashes here.

File details

Details for the file spider_fingerprint_py-0.0.1-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for spider_fingerprint_py-0.0.1-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 cc7918768ba590a3f7ea593f2b923600eaa67cf41d68a4562e47d3dd83b7ab9f
MD5 f12fd1f06fb2a1899cf6d4a39be64ce3
BLAKE2b-256 8f5907662c5bc52a88eed43f124d9cad3748ec753329e4cfa9af48f6ba459887

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page