Problem: The Complexity of Web Data Extraction and Integration
In the modern digital economy, businesses and developers face significant hurdles when attempting to access, extract, and integrate data from disparate web sources. Traditional web scraping is often brittle, requiring constant maintenance as website structures change. Furthermore, discovering and integrating various third-party APIs for specific tasks—such as lead enrichment, company intelligence, or market research—can be a fragmented and time-consuming process. This complexity prevents organizations from efficiently leveraging external data for decision-making and workflow automation.
Solution: The Orthogonal API Marketplace and Skills Platform
Orthogonal addresses these challenges by providing a centralized marketplace for 'skills' and APIs designed to automate data-intensive tasks. Their platform offers a suite of tools including web scrapers, search engines, and specialized scrapers for platforms like LinkedIn. By offering these as modular 'skills,' Orthogonal allows developers to easily find and call APIs that handle the heavy lifting of data extraction and structured data conversion. This approach simplifies the technical overhead required to gather intelligence from the web.
Value Proposition and Impact
The core value proposition of Orthogonal lies in its ability to provide 'company intelligence' and automated workflows through a unified interface. Their tools, such as 'find-api' and 'linkedin-scraper,' enable users to get LinkedIn profiles, company pages, and employee data without building custom infrastructure. By providing structured data and markdown conversions from any website, Orthogonal empowers users to integrate external data directly into their existing workflows, significantly reducing the time and expertise needed for web-based research and data collection.
