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The spider_fingerprint project for python.

Project description

spider_fingerprint_py

Python bindings for the spider_fingerprint Rust crate.

spider_fingerprint_py allows you to easily generate browser fingerprint and stealth scripts. It's ideal 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,
    PyHeaderDetailLevel,
    generate_emulation_script,
    generate_emulation_headers,
    spoof_ua
)

# Generate a random real user-agent.
user_agent = spoof_ua()

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

# Real browser headers based on the agent.
headers = generate_emulation_headers(
    user_agent=user_agent,
    header_map=None,
    hostname=None,
    viewport=viewport,
    domain_parsed=None,
    header_detail_level=PyHeaderDetailLevel.Extensive,
)

# 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)

# Make sure to remove Referer if being used with Network.setExtraHTTPHeaders before use.
print("Stealth Emulation Headers:\n")
print(headers)

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

Testing

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

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SHA256 9e5c83974947dae0491b7f52b60f8dced019ca522ac9d85a070d185ad50ce80c
MD5 ef54135407a1dc1f2942bd7d757fcf01
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SHA256 7f15e7be74f99b07d84828e39af398e0c462ba621da6c63b324fe3b375fd0b26
MD5 9538df000c727a4b35844fa26a7f535a
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Algorithm Hash digest
SHA256 76d0a451a360dc46fc28481846129baafcbdad02c24fafd5d7fd29832c06d728
MD5 964033aff1201ab9ffd5e9663ba860fa
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SHA256 2b2c26d75c79a2fc7c14a5017a8fa2f6e06b7fe6e4a119f264dbb40a8bc4d2c2
MD5 ce185b88261d1947b86412ce7cc2f28f
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SHA256 e5368bc9231584e8d241f6a8dd086627bf5f94a4d96d1938456870583fbde6d3
MD5 79a9ce57f33a85673c753102eab501fb
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Algorithm Hash digest
SHA256 b881f827ef61a1d5e8ad9ee572ef502189c137feb5d4a7f98708f559085ef107
MD5 e95203070ed53af81f5b95462eae42a4
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SHA256 87f6cd51b01fef2cb0e38c87040e23124d49fe78fc13c3660f919f5926e4000d
MD5 ece17c842d0a54e9e9f63a2c981eb97c
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SHA256 e454efcdcbe861abbf4b829a1a6f012010575db9c053cc4a6e2100a1edc7051a
MD5 e2c3d2104da2314619e240300d8b3233
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Algorithm Hash digest
SHA256 a3e2c289c9d30383fed0dd3427afee06340e5492ffb86e1d95e0cb8d575c3900
MD5 c39d40ee31685fd0fb160b32064e95aa
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Algorithm Hash digest
SHA256 4f253498c9568560a6b7693b23cf4725ff58e01a06d4b241f104846d33997d37
MD5 69f35a7cfa28123adad5c871eaecfd55
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SHA256 09a9f3bf5e03e2ace9d0391a6f13540abe264cd928d0f78685f49bbb3fcda8a7
MD5 cc6e3f07120fc08178dae9b22a4971fb
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Algorithm Hash digest
SHA256 59471237e3ae4cd8e52d44c1cff19f99f43c982f8e3825c095eddb27d2fea696
MD5 5823325f9052735f90cdc93f782a5704
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Algorithm Hash digest
SHA256 f9290536e0d869eb4cd1fe9c00a6897712bb4f2c2e14a1feeaa290b460ca522e
MD5 955fc5fe3d28ccc6053a428fd9344c3b
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Algorithm Hash digest
SHA256 bed44a0782f2931a75ec5e5e38e55f99e40ee66e648756ad135ff80953419d7a
MD5 dd23519d118d9f914d065aab601d64e1
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Algorithm Hash digest
SHA256 8c8c3ba05af189d7d8eacd25f8976462bab1c4a0e2684cc674d3a59a1611794a
MD5 e89dad63dc24cce2978db394dbb24c74
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Algorithm Hash digest
SHA256 91c40833c48292cf04a1c8503023dd11693e2354720a69cf7e7910d5ed7f6358
MD5 8274f915500e694998f519b4018541d3
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Algorithm Hash digest
SHA256 5fafe1aa55661fc563509e4c6c55a8c8f94211940ae072f6b4fdbb72791dfafb
MD5 e2d36c296403ba31e883396cafdcc31d
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SHA256 d2fde101e74446f3911f048b477e185e6bd674e3ade8b01a75b0900006340134
MD5 b722c59592c02a678dba3df77a02d82e
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SHA256 965b3a5cf19adcca3f35a6822d0892c6812920ca26cb625fe41b5d731c92af9a
MD5 dd8dd2a2d41121d5f5338c2babba6243
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SHA256 3de536692ffef2b072525b343593f4c56ec6b3f374cf7bde99e287417c42afe0
MD5 eb26edb3698fe8f6bfb86eda470609da
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SHA256 5201e7caaa7a415c4cf419dd10edc632fd91b9b85a588ade125a5a6a02265857
MD5 20ca9dcd8b4d85445c0cd2271be92fd2
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SHA256 da4e556035ecd13262945ecec68b686e01877415fd1a6334b233e71410697679
MD5 a60d85893587a9fa7157c3bda166d0d1
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SHA256 f9b371aece4b7491076cf8b1518824fe53d80833638c243ad785e574a99ce2b3
MD5 df9999307c10a30addb45fa0d1479d14
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SHA256 d89dad8aa96c7c4ee3422f97b98b378a91f281389fe7aaaeb76a1c9219aec6a6
MD5 ad4d376fe533d91919447e755555c2d2
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SHA256 1bfde86edea780e334e54e2bcad4400e776b4d8ffd1213dee79b38366cf387c2
MD5 b523f6162bde1cc1218a49a0add46168
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SHA256 5c494da85df8099ce3d0b37a5102177bdfef503d2bcd8b031717e041c5e085b0
MD5 a9a40c78b633379274d33674cb2bff73
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SHA256 1d0e8b16af327a1de127e4b83c3ccc89de668394ebe7e74b64100c7cdcf29c8d
MD5 89593523271bb1a4e69ffc2f2d9821ad
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SHA256 79bc34642afe8c35a026d49e7d0cb2c6d62f5454c0d2a12b0340ea68e0071afe
MD5 ca7b6e1737eeb94668fc2d83f914c2e9
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SHA256 5ef1fa4b636ecec441dfd09efca975f522f4c627f6d3ab985e870de86b7815cc
MD5 e04a2a6f8f8545542f04eceb03e21a5f
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SHA256 cccbfdb467279f3a29c9e220b3751da12c0d0ea95731897e6bf104baecaf0aad
MD5 6e3a5d07c9f0c4b41186f7bf93aa8cff
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SHA256 678f1b117e56560b9794ceb4983454e83cd26012c55724377039fedfb418517a
MD5 59d3040098fa81a8fcd7fe4c1f955749
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SHA256 a3d7118d88c8ed87b0defc6fe6647c13e776a2900e0f457941b826d5ef18a3bf
MD5 59ea978a5ef9d5d2c15c80150232bb99
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SHA256 556463329e9fbdfe9b7360976732edde815905753d6c35900d8e8849f0983cd7
MD5 1b2b20215bf139fa07ba24855088cca6
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SHA256 2f964f7a36974f60b022c6e59f4b5b9e2225bda38a56501d91bfafae22bf5903
MD5 f05ec70c69f04cd52dffc5a6b617a38a
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SHA256 802b928a04225421175625e1b14bfe4cc80091feec7442cae0b7584107f96b7f
MD5 180906051f39e1a72ef083b76ac39503
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