company-value-prop-generator

Stagehand + Browserbase: Value Prop One-Liner Generator

AT A GLANCE

• Goal: Automatically extract and format website value propositions into concise one-liners for email personalization
• Demonstrates Stagehand's extract method with Pydantic schemas to pull structured data from landing pages
• Shows direct OpenAI API usage to transform extracted content with custom prompts
• Includes placeholder page detection and validation logic to filter out non-functional sites
• Docs → https://docs.stagehand.dev/v3/basics/extract

GLOSSARY

• Extract: Stagehand method that uses AI to pull structured data from pages using natural language instructions Docs → https://docs.stagehand.dev/v3/basics/extract
• Value Proposition: The core benefit or unique selling point a company communicates to customers

QUICKSTART

1. cd python/company-value-prop-generator
2. pip install python-dotenv stagehand openai pydantic
3. cp .env.example .env # Add your Browserbase API key to .env
4. python main.py

EXPECTED OUTPUT

• Stagehand initializes and creates a Browserbase session
• Displays live session link for monitoring
• Navigates to target domain and waits for page load
• Checks for placeholder pages via meta tag inspection
• Extracts value proposition from landing page using AI
• Validates extracted content against placeholder patterns
• Generates formatted one-liner via LLM (constraints: 9 words max, starts with "your")
• Prints generated one-liner to console
• Closes browser session

COMMON PITFALLS

• Dependency install errors: ensure pip install completed
• Missing credentials:
  • BROWSERBASE_API_KEY (required for browser automation)
• Placeholder pages: Template includes detection logic, but some custom placeholder pages may still pass validation
• Slow-loading sites: 5-minute timeout configured, but extremely slow sites may still timeout

USE CASES

• Generate personalized email openers by extracting value props from prospect domains • Build prospecting tools that automatically understand what companies do from their websites • Create dynamic messaging systems that adapt content based on extracted company information

NEXT STEPS

• Batch process multiple domains by iterating over a list and aggregating results • Extract additional metadata like company description, industry tags, or key features alongside value prop • Add caching layer to avoid re-extracting value props for previously analyzed domains

HELPFUL RESOURCES

📚 Stagehand Docs: https://docs.stagehand.dev/v3/first-steps/introduction 🎮 Browserbase: https://www.browserbase.com 💡 Templates: https://www.browserbase.com/templates 📧 Need help? support@browserbase.com 💬 Discord: http://stagehand.dev/discord