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seleniumvsskyvern

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Selenium is a Python package that allows developers to automate web browsers. It provides a way for developers to interact with web browsers programmatically, simulating user interactions such as clicking links, filling out forms, and navigating between pages. Selenium can be used to automate tasks such as web scraping, testing web applications, and automating repetitive tasks on websites.

Selenium is built on top of WebDriver, which is a browser automation API that allows Selenium to interact with web browsers. Selenium supports a wide variety of web browsers, including Chrome, Firefox, Safari, and Internet Explorer.

One of the main advantages of Selenium is that it can be used with many different programming languages, not only Python, and it also supports different platforms.

The package also provide a set of APIs that allows you to interact with web pages, you can locate elements, interact with them, get their properties and interact with javascript, you can use the APIs to automate the browser and interact with web pages in the same way a human user would.

Selenium is widely used in web scraping, web testing, and other automation tasks because it allows developers to automate web browsers in a way that is very similar to how a human user would interact with the browser.

Overall, Selenium is a powerful and versatile tool for automating web browsers and is widely used in web scraping, web testing, and other automation tasks.

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


ai-powerednatural-languageanti-detect

Example Use


```python from selenium import webdriver # Create an instance of the webdriver driver = webdriver.Firefox() # Navigate to a website driver.get("http://www.example.com") # Find an element by its id element = driver.find_element_by_id("example-id") # Interact with the element element.click() # Find an element by its name element = driver.find_element_by_name("example-name") # Fill an input form element.send_keys("example text") # Find and click a button driver.find_element_by_xpath("//button[text()='Search']").click() # Wait for the page to load driver.implicitly_wait(10) # Get the page title print(driver.title) # Close the browser driver.close() ```
```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 ```

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