What You'll Learn

Create an automation that takes any company URL and returns a list of lookalike companies with similarity scores. Uses HTML extraction to pull structured data from Ocean.io's free lookalike search page—no paid subscription required.

Why This Matters

• Expand Target Lists: Find more companies similar to your best customers
• Competitive Mapping: Discover the full universe of competitors in a space
• Lead Research: Enrich inbound leads with similar company context

Key Steps Covered

• URL Construction – Build Ocean.io lookalike search URL from target domain
• HTML Extraction – Scrape page content preserving table structure
• Beautiful Soup Parsing – Extract rows from HTML table with Python
• Data Output – Return company name, URL, score, logo, and country

Tools & Integrations

• AirOps: Workflow orchestration and HTTP requests
• Python Beautiful Soup: HTML parsing and data extraction
• Ocean.io: Free lookalike company discovery (25 results)

Common Questions

Q: Why use HTML scraping instead of Ocean.io's API? A: Ocean.io's free tier provides 25 lookalike companies via their public search page. This is sufficient for quick research without requiring a paid API subscription. For larger datasets, consider their paid plans.

Q: Can this be integrated into larger workflows? A: Absolutely. Call this as a sub-workflow within AirOps—feed in URLs from case study extraction or CRM data to automatically enrich accounts with lookalike company intelligence.