Challenge and Opportunity
A Keiter Technologies client, a technology company that sold aggregated data was seeking a way to collect data at scale in order to lower overhead costs. Instead of manual scraping, they needed an automated system to do it.
- The client was spending approximately $10,000-$20,000 a month on data for its platform.
- Using AWS Lambda and Python, our team was able to build the client a customized tool that could scrape data from the internet at scale.
- The tool was more efficient and could collect more data in real-time while integrating it into the client’s API.
The delivered tool works effectively and saves the client hundreds of thousands of dollars in data collection fees.
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