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Picture this: you need to automate browser tasks. Maybe it's testing your web application, scraping data from websites, or automating repetitive processes. Traditionally, this meant dealing with external drivers, complex configurations, and a host of compatibility issues that seemed to appear out of nowhere.
But there's another challenge that's even more frustrating: modern web protection systems. Cloudflare Turnstile captchas, reCAPTCHA v3, and sophisticated bot detection algorithms that can instantly identify and block traditional automation tools. Your perfectly written automation script fails not because of bugs, but because websites can tell it's not human.
Pydoll was born to change that.
Built from the ground up with a different philosophy, Pydoll connects directly to the Chrome DevTools Protocol (CDP), eliminating the need for external drivers entirely. More importantly, it incorporates advanced human behavior simulation and intelligent captcha bypass capabilities that make your automations virtually indistinguishable from real human interactions.
We believe that powerful automation shouldn't require you to become a configuration expert or constantly battle with anti-bot systems. With Pydoll, you focus on what matters: your automation logic, not the underlying complexity or protection bypassing.
Intelligent Captcha Bypass: Built-in automatic solving for Cloudflare Turnstile and reCAPTCHA v3 captchas without external services, API keys, or complex configurations. Your automations continue seamlessly even when encountering protection systems.
Truly Human Interactions: Advanced algorithms simulate authentic human behavior patterns - from realistic timing between actions to natural mouse movements, scroll patterns, and typing rhythms that fool even sophisticated bot detection systems.
Genuine Simplicity: We don't want you wasting time configuring drivers or dealing with compatibility issues. With Pydoll, you install and you're ready to automate, even on protected sites.
Native Async Performance: Built from the ground up with asyncio, Pydoll doesn't just support asynchronous operations - it was designed for them, enabling concurrent processing of multiple protected sites.
Powerful Network Monitoring: Intercept, modify, and analyze all network traffic with ease, giving you complete control over requests and responses - perfect for bypassing additional protection layers.
Event-Driven Architecture: React to page events, network requests, and user interactions in real-time, enabling sophisticated automation flows that adapt to dynamic protection systems.
Intuitive Element Finding: Modern find() and query() methods that make sense and work as you'd expect, even with dynamically loaded content from protection systems.
Robust Type Safety: Comprehensive type system for better IDE support and error prevention in complex automation scenarios.
pip install pydoll-python
That's it. No drivers to download, no complex configurations. Just install and start automating.
Let's start with something simple. The code below opens a browser, navigates to a website, and interacts with elements:
import asyncio
from pydoll.browser import Chrome
async def my_first_automation():
# Create a browser instance
async with Chrome() as browser:
# Start the browser and get a tab
tab = await browser.start()
# Navigate to a website
await tab.go_to('https://example.com')
# Find elements intuitively
button = await tab.find(tag_name='button', class_name='submit')
await button.click()
# Or use CSS selectors/XPath directly
link = await tab.query('a[href*="contact"]')
await link.click()
# Run the automation
asyncio.run(my_first_automation())
Sometimes you need more control. Pydoll offers flexible configuration options:
from pydoll.browser import Chrome
from pydoll.browser.options import ChromiumOptions
async def custom_automation():
# Configure browser options
options = ChromiumOptions()
options.add_argument('--proxy-server=username:password@ip:port')
options.add_argument('--window-size=1920,1080')
options.add_argument('--disable-web-security')
options.binary_location = '/path/to/your/browser'
async with Chrome(options=options) as browser:
tab = await browser.start()
# Your automation code here
await tab.go_to('https://example.com')
# The browser is now using your custom settings
asyncio.run(custom_automation())
One of Pydoll's most revolutionary features is its ability to automatically handle modern captcha systems that typically block automation tools. This isn't just about solving captchas - it's about making your automations completely transparent to protection systems.
Supported Captcha Types:
import asyncio
from pydoll.browser import Chrome
async def advanced_captcha_bypass():
async with Chrome() as browser:
tab = await browser.start()
# Method 1: Context manager (waits for captcha completion)
async with tab.expect_and_bypass_cloudflare_captcha():
await tab.go_to('https://site-with-cloudflare.com')
print("Cloudflare Turnstile automatically solved!")
# Continue with your automation - captcha is handled
await tab.find(id='username').type_text('user@example.com')
await tab.find(id='password').type_text('password123')
await tab.find(tag_name='button', text='Login').click()
# Method 2: Background processing (non-blocking)
await tab.enable_auto_solve_cloudflare_captcha()
await tab.go_to('https://another-protected-site.com')
# Captcha solved automatically in background while code continues
# Method 3: Custom captcha selector for specific implementations
await tab.enable_auto_solve_cloudflare_captcha(
custom_selector=(By.CLASS_NAME, 'custom-captcha-widget'),
time_before_click=3, # Wait 3 seconds before solving
time_to_wait_captcha=10 # Timeout after 10 seconds
)
await tab.disable_auto_solve_cloudflare_captcha()
asyncio.run(advanced_captcha_bypass())
Pydoll offers multiple intuitive ways to find elements. No matter how you prefer to work, we have an approach that makes sense for you:
import asyncio
from pydoll.browser import Chrome
async def element_finding_examples():
async with Chrome() as browser:
tab = await browser.start()
await tab.go_to('https://example.com')
# Find by attributes (most intuitive)
submit_btn = await tab.find(
tag_name='button',
class_name='btn-primary',
text='Submit'
)
# Find by ID
username_field = await tab.find(id='username')
# Find multiple elements
all_links = await tab.find(tag_name='a', find_all=True)
# CSS selectors and XPath
nav_menu = await tab.query('nav.main-menu')
specific_item = await tab.query('//div[@data-testid="item-123"]')
# With timeout and error handling
delayed_element = await tab.find(
class_name='dynamic-content',
timeout=10,
raise_exc=False # Returns None if not found
)
# Advanced: Custom attributes
custom_element = await tab.find(
data_testid='submit-button',
aria_label='Submit form'
)
asyncio.run(element_finding_examples())
One of the great advantages of Pydoll's asynchronous design is the ability to process multiple tasks simultaneously:
import asyncio
from pydoll.browser import Chrome
async def scrape_page(url):
"""Extract data from a single page"""
async with Chrome() as browser:
tab = await browser.start()
await tab.go_to(url)
title = await tab.execute_script('return document.title')
links = await tab.find(tag_name='a', find_all=True)
return {
'url': url,
'title': title,
'link_count': len(links)
}
async def concurrent_scraping():
urls = [
'https://example1.com',
'https://example2.com',
'https://example3.com'
]
# Process all URLs simultaneously
tasks = [scrape_page(url) for url in urls]
results = await asyncio.gather(*tasks)
for result in results:
print(f"{result['url']}: {result['title']} ({result['link_count']} links)")
asyncio.run(concurrent_scraping())
React to page events and user interactions in real-time. This enables more sophisticated and responsive automations:
import asyncio
from pydoll.browser import Chrome
from pydoll.protocol.page.events import PageEvent
async def event_driven_automation():
async with Chrome() as browser:
tab = await browser.start()
# Enable page events
await tab.enable_page_events()
# React to page load
async def on_page_load(event):
print("Page loaded! Starting automation...")
# Perform actions after page loads
search_box = await tab.find(id='search-box')
await search_box.type_text('automation')
# React to navigation
async def on_navigation(event):
url = event['params']['url']
print(f"Navigated to: {url}")
await tab.on(PageEvent.LOAD_EVENT_FIRED, on_page_load)
await tab.on(PageEvent.FRAME_NAVIGATED, on_navigation)
await tab.go_to('https://example.com')
await asyncio.sleep(5) # Let events process
asyncio.run(event_driven_automation())
Pydoll provides seamless iframe interaction through the get_frame() method. This is especially useful for dealing with embedded content:
import asyncio
from pydoll.browser.chromium import Chrome
async def iframe_interaction():
async with Chrome() as browser:
tab = await browser.start()
await tab.go_to('https://example.com/page-with-iframe')
# Find the iframe element
iframe_element = await tab.query('.hcaptcha-iframe', timeout=10)
# Get a Tab instance for the iframe content
frame = await tab.get_frame(iframe_element)
# Now interact with elements inside the iframe
submit_button = await frame.find(tag_name='button', class_name='submit')
await submit_button.click()
# You can use all Tab methods on the frame
form_input = await frame.find(id='captcha-input')
await form_input.type_text('verification-code')
# Find elements by various methods
links = await frame.find(tag_name='a', find_all=True)
specific_element = await frame.query('#specific-id')
asyncio.run(iframe_interaction())
For comprehensive documentation, detailed examples, and deep dives into Pydoll's features, visit our official documentation site.
The documentation includes:
We'd love your help making Pydoll even better! Check out our contribution guidelines to get started. Whether it's fixing bugs, adding features, or improving documentation - all contributions are welcome!
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Pydoll is licensed under the MIT License.
Pydoll — Making browser automation magical!
FAQs
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We found that pydoll-python demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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