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What is Web AI?

Integration of artificial intelligence technologies into web applications to enhance their functionality and user experience. It encompasses a variety of use cases, such as personalisation, automation, content generation, and analytics. By leveraging AI, web applications can analyse user behavior to recommend content, automate repetitive tasks, generate text or images, and process large datasets for insights.

There are many uses cases for AI:

• Personalisation: Analysing user behavior to recommend content or adjust layouts
• Automation: Streamlining tasks like form filling, data extraction or customer support
• Content Generation: Using AI models to create text, images or even code for websites
• Analytics: Processing large datasets to provide insights for optimising websites

Generative AI tools are especially popular for creating content and simplifying workflows, and this is changing the way we build applications.

Browser Automation

Browser automation is one area where Web AI has made significant progress. It allows developers to automate complex tasks in web browsers, saving time and reducing manual effort. Tools like Browser Use are helping developers achieve this more efficiently.

What is Browser Use?

An open-source library that connects AI agents to web browsers. It lets these agents perform tasks like navigating websites, extracting data, and interacting with web elements. Built using frameworks like Playwright and LangChain, it’s designed for automating workflows and integrating with LLMs.

Features

• Data Extraction: Scrapes structured data from websites
• Workflow Automation: Automates multi-step processes like filling out forms or logging into accounts
• Cross-Platform Support: Works with multiple LLMs and frameworks
• Advanced Agent Design: Uses hierarchical agents to handle complex interactions

Use Cases

• Extracting product data from e-commerce platforms
• Automating user interaction testing across browsers like Chromium or Firefox
• Managing large-scale browser tasks for businesses

Example

Here’s an example of how you might use Browser Use to extract product details from an e-commerce website:

from browser_use import BrowserAgent

# Initialise the browser agent
agent = BrowserAgent()

# Open the e-commerce website
agent.open_url("https://example-ecommerce-site.com")

# Search for a product (e.g., laptops)
agent.fill_input("input[name='search']", "laptop")  # Type "laptop" in the search bar
agent.click_button("button[type='submit']")         # Click the search button

# Wait for the product list to load
agent.wait_for_element(".product-list")  # Ensure the product list is visible before scraping

# Scrape product details: name, price, and link
products = agent.scrape_elements(".product-list .product-item", {
    "name": ".product-name",             # Extract the product name
    "price": ".product-price",           # Extract the product price
    "link": ".product-link@href"         # Extract the product link (href attribute)
})

# Print the extracted data
for product in products:
    print(f"Name: {product['name']}, Price: {product['price']}, Link: {product['link']}")

# Close the browser session
agent.close()

Other Browser Automation Tools

The browser automation space includes several other tools that address different needs:

• Airtop: An API-driven browser for large-scale automation tasks, including handling multi-factor authentication (MFA)
• Browse AI: A no-code tool for automating browser tasks like data scraping or monitoring
• Axiom.ai: A Chrome extension for building custom bots without coding

These tools range from developer-focused frameworks to platforms designed for non-technical users.

The Future of Web AI and Automation

Web AI continues to grow in importance as businesses look for ways to improve efficiency and user experience. Key trends include:

• Increased use of generative AI for content creation and process automation.
• Wider adoption of open-source tools like Browser Use for browser-based workflows.
• Development of enterprise-grade platforms for scalable browser automation.

The combination of smarter websites powered by Web AI and efficient browser automation tools is shaping the future of how we build applications on the web.