Vibium Integration

pip install vibium

from vibium import Browser

API_KEY = ''
BROWSER_WS = f'wss://' ~ public_cloud_browser_endpoint ~ '?api_key={API_KEY}&proxy_pool=datacenter&os=linux'

# Connect to Cloud Browser
browser = Browser(
    cdp_url=BROWSER_WS,
    llm_provider='openai',  # or 'anthropic', 'google', etc.
    llm_model='gpt-4o'
)

# Use natural language to interact with the page
browser.go('https://web-scraping.dev/products')

# AI-powered actions with natural language
products = browser.extract(
    "Get all product names and prices from the page"
)

print(products)
browser.close()

from vibium import Browser

API_KEY = ''
BROWSER_WS = f'wss://' ~ public_cloud_browser_endpoint ~ '?api_key={API_KEY}&proxy_pool=datacenter'

browser = Browser(cdp_url=BROWSER_WS, llm_provider='openai')

# Navigate to a search engine
browser.go('https://www.google.com')

# Use natural language to perform actions
browser.act("Search for 'web scraping best practices'")
browser.act("Click on the first result")

# Extract information with natural language
content = browser.extract(
    "Get the main heading and first 3 paragraphs"
)

print(content)
browser.close()

from vibium import Browser

API_KEY = ''
BROWSER_WS = f'wss://' ~ public_cloud_browser_endpoint ~ '?api_key={API_KEY}&proxy_pool=residential'

browser = Browser(cdp_url=BROWSER_WS, llm_provider='anthropic', llm_model='claude-3-5-sonnet')

# Navigate to login page
browser.go('https://web-scraping.dev/login')

# AI understands the form structure and fills it
browser.act("Enter 'myuser' in the username field")
browser.act("Enter 'mypassword' in the password field")
browser.act("Click the submit button")

# Wait for login to complete
browser.wait(3)

# Verify login success
is_logged_in = browser.extract(
    "Check if there is a logout button or user profile visible"
)

print(f"Login successful: {is_logged_in}")
browser.close()

from vibium import Browser

API_KEY = ''
SESSION_ID = 'my-ai-session'

# First connection: Login with AI
def first_connection():
    browser = Browser(
        cdp_url=f'wss://' ~ public_cloud_browser_endpoint ~ '?api_key={API_KEY}&session={SESSION_ID}',
        llm_provider='openai'
    )

    browser.go('https://web-scraping.dev/login')
    browser.act("Fill in the login form and submit")
    browser.close()  # Session is preserved

# Second connection: Reuse the logged-in session
def second_connection():
    browser = Browser(
        cdp_url=f'wss://' ~ public_cloud_browser_endpoint ~ '?api_key={API_KEY}&session={SESSION_ID}',
        llm_provider='openai'
    )

    browser.go('https://web-scraping.dev/dashboard')
    # Already logged in from previous session!

    data = browser.extract("Get all dashboard metrics")
    print(data)
    browser.close()

from vibium import Browser

API_KEY = ''
BROWSER_WS = f'wss://' ~ public_cloud_browser_endpoint ~ '?api_key={API_KEY}&proxy_pool=datacenter'

browser = Browser(cdp_url=BROWSER_WS, llm_provider='openai', llm_model='gpt-4o')

browser.go('https://web-scraping.dev/products')

# Extract structured data with natural language
products = browser.extract(
    """
    Extract all products with:
    - Product name
    - Price
    - Rating (if available)
    - Return as a list of dictionaries
    """
)

print(products)

# AI can understand complex extraction requirements
summary = browser.extract(
    "Calculate the average price of all products on this page"
)

print(f"Average price: {summary}")
browser.close()