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Your agent can extract structured data from any webpage and return it in a format you can work with. No parsing HTML, no writing selectors - just describe what you want.

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What Your Agent Can Do

  • Scrape product listings - Get prices, names, and details from e-commerce sites
  • Extract contact info - Pull emails, phone numbers, and addresses from directories
  • Gather research data - Collect information from multiple sources into structured tables
  • Parse search results - Turn search engine results into actionable data

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Example: Extract Search Results

Ask your agent:
“Search Google for ‘best restaurants in Austin’ and extract the top 10 results with name, rating, and address”
Your agent returns structured data: 
[
  {"name": "Franklin Barbecue", "rating": 4.8, "address": "900 E 11th St"},
  {"name": "Uchi", "rating": 4.7, "address": "801 S Lamar Blvd"},
  ...
]

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Example: Scrape a Product Page

“Go to this Amazon product page and extract the title, price, rating, and number of reviews” 
{
  "title": "Sony WH-1000XM5 Wireless Headphones",
  "price": 328.00,
  "rating": 4.6,
  "reviews": 12847
}

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Example: Gather Competitive Intelligence

“Go to our three main competitors’ pricing pages and extract all their plan names and prices”
Your agent visits multiple sites and returns consolidated data you can compare.

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How Extraction Works

  1. Your agent navigates to the page (or you provide a URL)
  2. You describe what data you want in plain English
  3. The agent analyzes the page and extracts matching information
  4. Data is returned in a structured format
Be specific about what fields you want. “Extract the products” is okay, but “Extract product name, price, and availability” gets better results.