Learn how to automatically extract similar company lists from Ocean.io using Python and BeautifulSoup - perfect for sales and competitor research
In this video walkthrough, we demonstrate how to build a simple but powerful system for finding lookalike companies using Ocean.io's search functionality and web scraping techniques.
You'll see how we've created a workflow that:
- Takes any company URL as input and finds similar companies using Ocean.io's lookalike search
- Uses Python and BeautifulSoup to extract structured data from HTML tables
- Captures key company information including similarity scores, logos, names, URLs, and countries
- Processes the first 25 highest-scoring lookalike companies for any given target
We show how this technique can be applied to various business scenarios, such as:
- Expanding your target account list based on successful customers
- Identifying new prospects similar to companies in your case studies
- Mapping out your competitive landscape
- Finding potential clients that match your ideal customer profile
Whether you're in sales looking to expand your prospecting list, or trying to understand your market landscape better, this walkthrough provides a practical approach to finding similar companies at scale.
