pydollvsskyvern

None - - -

Jun 01 2024 0.0.0(2025-02-01 00:00:00 ago)

21,046 17 148 AGPL-3.0

Feb 01 2024 250.9 thousand (month) 1.0.29(2026-04-02 14:42:44 ago)

Pydoll is a Python library for browser automation that uses the Chrome DevTools Protocol (CDP) directly, designed to be undetectable by anti-bot systems. Unlike Selenium-based tools, Pydoll does not use WebDriver and avoids the common detection vectors that anti-bot systems look for.

Key features include:

Native CDP communication Connects directly to Chrome/Chromium via CDP websocket without intermediary drivers, avoiding the automation flags and fingerprints that WebDriver-based tools leave behind.
Event-driven architecture Built around an async event system that can listen for and react to browser events like network requests, console messages, and DOM changes.
Network interception Can intercept, modify, and mock network requests and responses, useful for blocking unnecessary resources or modifying API responses during scraping.
Async-first design Fully asynchronous API built on Python's asyncio for efficient concurrent automation.
Clean API Provides a high-level, Pythonic API for common browser automation tasks while still allowing direct CDP command execution for advanced use cases.
Multi-browser support Can manage multiple browser instances and pages concurrently.

Pydoll fills a similar niche to nodriver and camoufox — browser automation with a focus on avoiding detection — but takes a different approach by providing more granular control over CDP communication and network interception.

Skyvern is an AI-powered browser automation tool that uses large language models (LLMs) and computer vision to interact with websites. Instead of relying on DOM selectors, Skyvern takes screenshots of web pages and uses visual understanding to identify and interact with elements, making it highly resilient to website changes.

Key features include:

Vision-based interaction Uses screenshots and computer vision (multimodal LLMs) to understand page layout and identify interactive elements visually, rather than through DOM inspection alone.
No selectors needed Describe tasks in natural language and Skyvern figures out what to click, type, and navigate without CSS selectors or XPath.
Complex workflow automation Can handle multi-step workflows like form filling, navigation through menus, file uploads, and multi-page processes.
Self-correcting When actions fail, Skyvern can analyze the resulting page state and adjust its approach, recovering from errors autonomously.
API-first design Provides a REST API for triggering and managing automation tasks programmatically.
Open source with cloud option Core engine is open source and can be self-hosted. Also available as a managed cloud service.

Skyvern is particularly effective for automating tasks on websites with complex or dynamic UIs where traditional selector-based automation breaks frequently. It achieved 85.85% accuracy on the WebVoyager benchmark.

Highlights

anti-detectcdpasync

ai-powerednatural-languageanti-detect

Example Use

```python import asyncio from pydoll.browser import Chrome from pydoll.constants import By async def main(): async with Chrome() as browser: # Open a new page page = await browser.new_page() await page.go_to("https://example.com") # Find and interact with elements search_input = await page.find_element(By.CSS, "input[name='q']") await search_input.type_text("web scraping") submit_btn = await page.find_element(By.CSS, "button[type='submit']") await submit_btn.click() # Wait for results and extract content await page.wait_element(By.CSS, ".results") results = await page.find_elements(By.CSS, ".result-item") for result in results: title = await result.get_text() print(title) # Network interception example await page.enable_network_interception() # intercept and analyze API calls made by the page asyncio.run(main()) ```

```python import requests # Skyvern runs as a service - interact via REST API SKYVERN_API = "http://localhost:8000/api/v1" # Create a task with natural language instructions task = requests.post( f"{SKYVERN_API}/tasks", json={ "url": "https://example.com/contact", "navigation_goal": "Fill out the contact form with test data and submit it", "data_extraction_goal": "Extract the confirmation message after submission", "navigation_payload": { "name": "John Doe", "email": "john@example.com", "message": "Hello, this is a test message", }, }, ).json() task_id = task["task_id"] # Check task status result = requests.get(f"{SKYVERN_API}/tasks/{task_id}").json() print(result["status"]) # "completed" print(result["extracted_information"]) # confirmation message ```