Our client, located in the United States, specializes in providing strategic and operational excellence to businesses. It collaborates with energy companies to address complex industry challenges, foster innovation, and drive sustainable growth
With the aim of remaining competitive in a rapidly evolving market, XYZ Logistics needed a scalable solution to address these operational challenges and deliver faster, more reliable services to their clients.
Retail energy pricing (REP) refers to the cost consumers pay for electricity, gas, and other energy sources. It plays a critical role in energy policy and sustainability initiatives. The client operated a REP feed that allowed end-users to analyze real-time market activity within the energy sector. To support this feed, they required detailed data on provider-specific and region-specific prices and terms for natural gas and electricity plans across the United States.
Our team was tasked with:
The client faced difficulties with their automated data collection efforts. The varying structures, layouts, and navigation of target websites made it challenging to create a standardized, automated scraping script. Many sites used dynamic content loading and anti-scraping measures, such as CAPTCHAs and IP blocking, which further hindered data accuracy. Additionally, the client struggled with managing and organizing large volumes of data from multiple providers and regions, making it difficult to ensure the data was structured and accessible for analysis.
We recommended a fully manual website data extraction approach, which improved data accuracy and relevance, effectively meeting the client’s needs.
Our team of three began the manual data extraction process. The subject matter experts assigned to the project took over where the client’s scripts fell short, performing the extraction manually. Utilizing website sources and ZIP codes, we efficiently searched for and updated key data points, including offer rates, renewable percentages, early termination fees, price comparisons, and monthly fees.
