Sponsorscout Project
Client Overview: Our client, gosponsorscout.com, aims to create a comprehensive global database of organizations that sponsor newsletters, podcasts, events, and other online content. Their focus is on serving sales teams and emerging startups that target potential sponsors.
The Challenge: Sponsorscout wanted to automate web crawling to locate sponsored content from different organizations, thereby minimizing labor hours and expenses. They needed an automated solution that could deliver precise results quickly and efficiently, cutting down on time and costs.
Process:
1. We began the content aggregation process using the Feedly API, which facilitated the automatic gathering of various digital content from multiple sources.
2. Once we had the content, we implemented the Google Vision API, a powerful image analysis tool that accurately detected and interpreted elements in images and videos, enhancing our ability to spot sponsor mentions in visual content.
3. We used Google OCR to convert text from images and scanned documents into machine-readable format, allowing for text analysis and the extraction of valuable information.
4. Google Entity Recognition further enhanced the extracted data by intelligently identifying and classifying entities such as names, dates, and locations, which improved the accuracy and organization of the information.
5. To strengthen the database, we integrated the Crunchbase API, which provided extensive data about companies, funding rounds, leadership teams, and other relevant information, allowing us to incorporate precise and current company data.
6. The n8n Workflow Automation platform enabled seamless integration and coordination among the various applications, services, and APIs utilized in the process.
7. The organized and extracted data was stored in Airtable, ensuring it was easily accessible, retrievable, and collaborative.