Data Enrichment Pipeline Model for Web Classification Based on Web Scraping and Machine Learning

With the digitization of sales and marketing, growth of online platforms, and e-commerce, businesses are now able to operate globally with ease and fewer restrictions. Expanding customer reach also means handling larger data volumes, which is often addressed through automation. Many companies now utilize data pipelines and advanced AI systems for analytics, operational optimization, faster and improved decision-making. This paper will explain in details the creation of an automated lead enrichment pipeline for B2B that focuses on ease of implementation and deployment. Employing a web data extraction tool, machine learning for website classification, a cloud-based database, and an automation and orchestration tool, the software provides a readily implementable solution for smaller enterprises to build and deploy.