Approach

To meet the project's challenges, we developed a systematic approach:

Bot Development: We designed a web crawling bot using Python, leveraging AWS for scalability. The bot automated the process of searching Google, visiting websites, and extracting relevant data.

Data Extraction: Python libraries were employed to extract contact information (e.g., email, phone numbers) and content (e.g., text, images) from the websites.

Machine Learning and NLP: We utilized AWS's machine learning capabilities and NLP libraries to develop a custom classification model. The model learned from the website content to predict the business category.

Technologies

Outcome

The project yielded impressive results:

Data Collection: We successfully collected website data for 1 million German companies, including contact information and textual content.

Categorization Accuracy: Our machine learning model achieved high accuracy in categorizing businesses based on the content of their websites.

Automation: The automated bot streamlined the data collection process, saving significant time and resources.

Enhanced Business Intelligence: The client now had access to a wealth of data and insights that could be used for market analysis, lead generation, and more.