tls-chameleon 2.1.0

Anti-Fingerprinting HTTP client with easy TLS fingerprint spoofing

TLS-Chameleon

Anti-Fingerprinting HTTP client that spoofs real browser TLS fingerprints with a simple, requests-like API.

🆕 What's New in v2.0

• AI-Urllib4 Adaptive Features:
  • Domain Memory: "Learns" which profile works for a specific domain and remembers it.
  • Adaptive Headers: Dynamically adjusts header casing and order (e.g., Title-Case for Firefox, lowercase for Chrome) to match the selected profile perfectly.
• 45 Browser Profiles: Chrome, Firefox, Safari, Edge across Windows 10, Windows 11, macOS, Linux, iOS, Android.
• Fingerprint Randomization: Slight variations to avoid pattern detection.
• HTTP/2 Priority Simulation: Browser-specific HTTP/2 SETTINGS.
• Auto-Update System: Fetch latest JA3 fingerprints from online sources.
• Enhanced API: New TLSSession class with profile, randomize, http2_priority parameters.

🎯 Ideal For

• Professional Scraping: Bypass Cloudflare, Akamai, and DataDome on E-commerce/Finance sites.
• Stealth Automation: Mimic human behavior to avoid ML-based traffic analysis.
• Cybersecurity / OSINT: Extract hidden JWTs, API keys, and metadata from protected portals.
• Price Intelligence: Track competitors without being flagged or served "bot-only" prices.

🚀 Features

• TLS Fingerprint Spoofing: Built-in profiles for Chrome, Firefox, Safari, Edge (uses curl_cffi for realistic signatures).
• Multi-OS Support: Profiles for Windows 10, Windows 11, macOS, Linux, iOS, and Android.
• Persistent Sessions: Proper cookie handling and connection pooling (just like requests.Session).
• Magnet Module 🧲: One-line data extraction (Emails, Tables, Forms, JSON-LD, Links).
• Smart Static ⚡: Automatically fetch page assets (CSS/JS/Images) to mimic real browser traffic.
• Auto-Form 📝: Find and submit forms automatically, handling hidden inputs and CSRF tokens.
• Humanize 🧠: Built-in delays to mimic human reading/typing speed.
• Resilience: Auto-rotation of proxies/profiles upon blocking (403/429/Cloudflare).
• Ghost Mode (Pro) 👻: Stealth traffic shaping with randomized timing and payload padding.
• WAF Shield (Pro) 🛡️: Automatic detection and adaptation for Cloudflare, Akamai, and DataDome.
• Header Morphing (Pro) 🧬: Dynamic casing and ordering to match specific browser signatures perfectly.
• Deep Extract (Pro) 🕵️: Find hidden JWTs, API keys, and JS configs in any page.

📦 Install

You can install TLS-Chameleon directly from PyPI:

pip install tls-chameleon[curl]

Note: The [curl] extra is required for TLS fingerprint spoofing.

⚡ Quick Start

1. Simple Requests (Drop-in)

from tls_chameleon import get

# One-line spoofing
r = get("https://httpbin.org/get", fingerprint="chrome_124")
print(r.json())

2. Persistent Session (Recommended)

Use Session (alias for TLSChameleon) to maintain cookies across requests:

from tls_chameleon import Session

with Session(fingerprint="chrome_120") as client:
    # First request sets cookies
    client.get("https://github.com/login")
    
    # Second request sends them back!
    r = client.get("https://github.com/settings")

3. New v2.0 API with OS-Specific Profiles 🆕

from tls_chameleon import TLSSession

# Select specific browser + OS combination
session = TLSSession(
    profile='chrome_124_linux',     # Linux Chrome 124
    randomize=True,                  # Enable fingerprint randomization
    http2_priority='chrome'          # Match HTTP/2 behavior
)

# Make requests
response = session.get("https://example.com")

# Debug: see what fingerprint is being used
print(session.get_fingerprint_info())
# {
#     'profile_name': 'chrome_124_linux',
#     'user_agent': 'Mozilla/5.0 (X11; Linux x86_64)...',
#     'ja3_hash': 'cd08e31494f9531f560d64c695473da9',
#     'randomized': True,
#     ...
# }

📚 Available Profiles (v2.0)

By Browser

Browser	Versions	OS Support
Chrome	120, 124, 125	Windows 10, Windows 11, macOS, Linux, Android
Firefox	120, 124	Windows 10, Windows 11, macOS, Linux
Safari	iOS 16, iOS 17, macOS 13, macOS 14	iOS, macOS
Edge	120, 124	Windows 10, Windows 11

Profile Naming Convention

{browser}_{version}_{os}

Examples:

• chrome_124_win11 - Chrome 124 on Windows 11
• chrome_124_linux - Chrome 124 on Linux
• firefox_120_macos - Firefox 120 on macOS
• safari_ios17 - Safari on iOS 17
• edge_124_win10 - Edge 124 on Windows 10
• chrome_android_124 - Chrome 124 on Android

Convenience Aliases

# Latest versions
'chrome_latest'        # Latest Chrome on Windows 11
'chrome_latest_linux'  # Latest Chrome on Linux
'firefox_latest'       # Latest Firefox
'safari_latest'        # Latest Safari
'edge_latest'          # Latest Edge

# Mobile
'mobile_safari'        # Safari iOS 17
'mobile_chrome'        # Chrome Android 124

List Available Profiles

from tls_chameleon import (
    list_available_profiles,
    get_profiles_by_browser,
    get_profiles_by_os
)

# All 45 profiles
all_profiles = list_available_profiles()
print(f"Total: {len(all_profiles)} profiles")

# Filter by browser
chrome_profiles = get_profiles_by_browser("chrome")
# ['chrome_120_win11', 'chrome_120_win10', 'chrome_120_linux', ...]

# Filter by OS
linux_profiles = get_profiles_by_os("linux")
# ['chrome_120_linux', 'chrome_124_linux', 'firefox_120_linux', ...]

🎲 Fingerprint Randomization

Enable slight variations to avoid pattern detection:

from tls_chameleon import TLSSession

# Each session gets a slightly different fingerprint
session = TLSSession(
    profile='chrome_124_win11',
    randomize=True  # Enable randomization
)

# Variations include:
# - Minor User-Agent version changes
# - TLS extension order shuffles (where browsers allow)
# - Slight cipher order variations

Manual Randomization

from tls_chameleon import FingerprintRandomizer, get_profile

# Get base profile
profile = get_profile("chrome_124_win11")

# Create randomizer
randomizer = FingerprintRandomizer(profile)

# Generate unique variants
variant1 = randomizer.generate_variant()
variant2 = randomizer.generate_variant()
# Each variant is slightly different but still looks like Chrome 124

🛠 API Reference

TLSSession / Session Parameters

Parameter	Type	Default	Description
profile	str	None	Profile name (e.g., 'chrome_124_linux'). New in v2.0
fingerprint	str	'chrome_120'	Legacy profile name (use profile for v2.0 profiles)
randomize	bool	False	Enable fingerprint randomization. New in v2.0
http2_priority	str	None	HTTP/2 priority simulation ('chrome', 'firefox', 'safari'). New in v2.0
engine	str	'curl'	HTTP engine ('curl' or 'httpx')
randomize_ciphers	bool	False	Shuffle cipher suite order
timeout	float	30.0	Request timeout in seconds
headers	dict	None	Custom headers to add
proxies	dict/str	None	Proxy configuration
rotate_profiles	list	None	List of profiles to rotate through on blocks
on_block	str	'rotate'	Action on block ('rotate', 'proxy', 'both', 'none')
max_retries	int	2	Max retry attempts
site	str	None	Site preset ('cloudflare', 'akamai')
proxies_pool	list	None	Pool of proxies to rotate
http2	bool	None	Force HTTP/2
verify	bool	True	Verify SSL certificates
ghost_mode	bool	False	Enable stealth traffic shaping

Session Methods

session = TLSSession(profile='chrome_124_win11')

# HTTP Methods
session.get(url, **kwargs)
session.post(url, **kwargs)
session.put(url, **kwargs)
session.delete(url, **kwargs)
session.head(url, **kwargs)
session.patch(url, **kwargs)
session.options(url, **kwargs)

# v2.0 Methods
session.get_fingerprint_info()  # Returns dict with profile details
session.sync_fingerprint(ja3=..., user_agent=...)  # Manually sync fingerprint

# Cookie Management
session.save_cookies("cookies.txt")
session.load_cookies("cookies.txt")

# Session State
session.export_session()  # Returns dict for persistence
session.import_session(state)  # Restore from dict

# Forms
session.submit_form(url, {"username": "x", "password": "y"})

# Human Delays
session.human_delay(reading_speed="normal")  # 'fast', 'normal', 'slow'

� AI-Urllib4 Adaptive Features (New!)

TLS-Chameleon now includes "AI-Urllib4" capabilities to intelligently adapt to target sites.

Domain Memory

The client automatically "learns" which browser profile works best for a specific domain. If a request succeeds with a specific profile (e.g., chrome_124_win11), the client remembers this association. Subsequent requests to the same domain will automatically switch to the known-good profile, regardless of the initial setting.

from tls_chameleon import TLSSession

# First request: Tries with default profile (e.g., Chrome)
# If it fails/rotates and eventually succeeds with Firefox, it remembers "example.com -> Firefox"
with TLSSession() as client:
    client.get("https://example.com")

# Later...
# Automatically switches to Firefox for example.com
with TLSSession() as client:
    client.get("https://example.com")

Adaptive Headers

Headers are no longer static. The client dynamically "morphs" header casing and ordering to match the specific browser profile being used.

• Chrome/Edge: Headers are sent in lowercase (HTTP/2 standard behavior for Chromium).
• Firefox/Safari: Headers utilize Title-Case where appropriate and follow specific ordering (e.g., Host first vs. User-Agent location).

This prevents detection systems from flagging mismatches between the TLS fingerprint (JA3) and the HTTP header structure.

�🧲 Magnet Extraction

AI Extraction (New! ✨)

Use Gemini, Claude, or OpenAI (ChatGPT/Grok) to extract data intelligently without regex.

# Install AI support
pip install tls-chameleon[ai]

r = client.get("https://news.ycombinator.com")

# 1. Google Gemini (Default)
print(r.magnet.ask("Summary", provider="gemini"))

# 2. Anthropic Claude
print(r.magnet.ask("Summary", provider="anthropic", model="claude-3-opus-20240229"))

# 3. OpenAI / Grok
# (Set OPENAI_API_KEY or pass api_key=...)
print(r.magnet.ask("Summary", provider="openai", model="gpt-4o"))

Standard Extractors

Don't write regex. Let Magnet do it.

r = client.get("https://example.com/contact")

emails = r.magnet.emails()        # ['[e-mail]']
tables = r.magnet.tables()        # [['Row1', 'Val1'], ...]
links  = r.magnet.links()
forms  = r.magnet.get_forms()     # List of parsed forms
json_data = r.magnet.json_ld()    # Schema.org data

🍪 Cookie Persistence

Save your session to a Netscape-formatted file (compatible with wget/curl) to use later.

# Save
client.save_cookies("cookies.txt")

# Load later
client.load_cookies("cookies.txt")

🔄 Auto-Update Fingerprints (Optional)

Fetch the latest fingerprints from online sources:

from tls_chameleon import FingerprintUpdater

updater = FingerprintUpdater()

# Check for updates (downloads to ~/.tls_chameleon/cache/)
updated_count = updater.update_gallery()
print(f"Updated {updated_count} profiles")

# Get cache info
print(updater.get_cache_info())

🆚 Why use this vs curl_cffi?

Feature	Raw curl_cffi	TLS-Chameleon
TLS Spoofing	You must manually set impersonate="chrome110"	45 profiles with OS-specific variants
Profile Selection	Manual	profile='chrome_124_linux'
Fingerprint Variation	None	randomize=True avoids pattern detection
Asset Loading	You just get the HTML.	mimic_assets=True: Fetches CSS/JS/Images
Forms	You must manually parse CSRF tokens	client.submit_form(): Auto-handles tokens
Data Extraction	Use BeautifulSoup manually	Magnet Module: emails, tables, json_ld
Blocking Recovery	Manual retry	Auto-rotation on 403/429

🔧 Advanced Usage

Multi-OS Scraping

from tls_chameleon import TLSSession

# Rotate between different OS fingerprints
profiles = [
    'chrome_124_win11',
    'chrome_124_linux',
    'chrome_124_macos',
]

for profile in profiles:
    session = TLSSession(profile=profile, randomize=True)
    response = session.get("https://target-site.com")
    print(f"{profile}: {response.status_code}")
    session.close()

Cloudflare Bypass with Profile Rotation

from tls_chameleon import TLSSession

session = TLSSession(
    profile='chrome_124_win11',
    site='cloudflare',  # Preset for Cloudflare sites
    rotate_profiles=[
        'chrome_124_win11',
        'chrome_120_linux',
        'firefox_124_win11',
    ],
    on_block='rotate',
    max_retries=3
)

response = session.get("https://cloudflare-protected-site.com")

Ghost Mode for Stealth

session = TLSSession(
    profile='chrome_124_win11',
    ghost_mode=True,  # Random delays + payload padding
    randomize=True
)

# Requests include random timing jitter and data padding
response = session.get("https://anti-bot-site.com")

🤝 Contributing

Issues and Pull Requests welcome!

🌟 Credits

Special thanks to curl_cffi for the amazing low-level TLS spoofing capabilities that power this library.

☕ Support / Donate

If you found this library useful, buy me a coffee!

📜 License

MIT

🚨 Is this library failing on a specific site?

Please open an issue with the URL! I need test cases to improve the fingerprinting logic.