kameleo.local-api-client 2.2.0

This Python package provides convenient access to the Local API REST interface of the Kameleo Client.

Kameleo Local API Client

Kameleo is a complete and integrated solution for browser fingerprinting protection, and also for easy browser automation using W3C WebDriver. This Python package provides convenient access to the Local API REST interface of the Kameleo Client.

Features

• Protection from Selenium/WebDriver detection
• Start unlimited number of profiles with different browser fingerprints
• Use authenticated HTTP/SOCKS/SSH proxies in browsers
• Create isolated browsing environments simultaneously
• Use real browser profiles of Chrome, Firefox, Safari and Edge
• Edit, Import or Export browser cookies
• Modify WebRTC parameters
• Modify Geolocation settings
• Modify WebGL fingerprint
• Modify 2D Canvas fingerprint
• Modify Navigator properties
• Modify Screen resolution

Quickstart Guide

1. Install package

pip install kameleo.local_api_client

2. Start the Kameleo.CLI on your computer

./Kameleo.CLI.exe email="[e-mail]" password="Pa$$w0rd"

Note: You need Automation package of Kameleo to access the features described below.

3. Start a browser with out-of-the-box fingerprinting protection

from kameleo.local_api_client.kameleo_local_api_client import KameleoLocalApiClient
from kameleo.local_api_client.builder_for_create_profile import BuilderForCreateProfile

client = KameleoLocalApiClient()
base_profiles = client.search_base_profiles(
    device_type='desktop',
    browser_product='chrome'
)

# Create a new profile with recommended settings
# for browser fingerprinting protection
create_profile_request = BuilderForCreateProfile \
    .for_base_profile(base_profiles[0].id) \
    .set_recommended_defaults() \
    .build()
profile = client.create_profile(body=create_profile_request)

# Start the browser
client.start_profile(profile.id)

Automate browsers with W3C WebDriver

Kameleo uses a WebDriver compatible server to control the browser. WebDriver is a W3C specification and industry standard which provides a platform and HTTP protocol to interact with a browser.

from kameleo.local_api_client.kameleo_local_api_client import KameleoLocalApiClient
from kameleo.local_api_client.builder_for_create_profile import BuilderForCreateProfile
from selenium import webdriver

kameleoBaseUrl = 'http://localhost:5050'
client = KameleoLocalApiClient(kameleoBaseUrl)

# Search Chrome Base Profiles
base_profiles = client.search_base_profiles(
    device_type='desktop',
    browser_product='chrome'
)

# Create a new profile with recommended settings
# for browser fingerprinting protection
create_profile_request = BuilderForCreateProfile \
    .for_base_profile(base_profiles[0].id) \
    .set_recommended_defaults() \
    .build()
profile = client.create_profile(body=create_profile_request)

# Start the browser
client.start_profile(profile.id)

# Connect to the running browser instance using WebDriver
options = webdriver.ChromeOptions()
options.add_experimental_option("kameleo:profileId", profile.id)
driver = webdriver.Remote(
    command_executor=f'{kameleoBaseUrl}/webdriver',
    options=options
)

# Use any WebDriver command to drive the browser
# and enjoy full protection from Selenium detection methods
driver.get('https://google.com')
driver.find_element('name', 'q').send_keys('Kameleo\n')
print(driver.title)

# Stop the browser by stopping the Kameleo profile
client.stop_profile(profile.id)

Example codes

Several examples have been prepared in a different repository to showcase the most interesting features. Feel free to create a pull request to add new example codes.

• Finding base profiles
• Creating profiles with custom options
• Updating profiles with new settings
• How to start a profile
• Using WebDriver with Local API
• Adding an HTTP, SOCKS or SSH proxy to profile
• Saving/Loading a browsing session to/from a .kameleo file
• Modify and Delete browser cookies
• Hooking up Kameleo with an external browser (Puppeteer)

Endpoints

Available API endpoints with exhaustive descriptions and example values are documented on this SwaggerHub page. This package has built-in IntelliSense support in Visual Studio Code, no extra package installation needed.

License

This project is released under MIT License. Please refer the LICENSE.txt for more details.