top of page

Powering Real-Time Energy Price Tracking

The Challenge

​

Tracking energy prices for natural gas, oil, and electricity is essential for businesses, traders, and consumers. The challenge was to collect data from multiple sources, including APIs and websites, and provide structured data for analysis. The client needed a solution that would:

  • Aggregate daily price data from various sources.

  • Transform the collected data into a consistent, structured format.

  • Provide an accessible API for the app to use this information.​

Technology Used :​

​

  • AWS Lambda, API Gateway, S3, DynamoDB for API and data storage

  • Python & Scrapy for data scraping

  • Spark & Pandas for data transformation

  • CI/CD Pipelines for automated updates

Outcomes Achieved:

​

  • Daily Market Insights: Users can access accurate, up-to-date price data.

  • Scalable & Cost-Efficient Solution: AWS-based processing ensures efficiency.

  • Seamless Integration: The API enables smooth data access for the app.

  • Automated Data Processing: Reduces manual effort and enhances accuracy.

Solution Implementation:

​

1. Data Collection & Scraping:

  • Integrated with multiple APIs and websites to fetch daily price updates.

  • Implemented automated scrapers and schedulers to extract relevant data.

2. Data Transformation & Processing:

  • Cleaned, validated, and structured raw data into a standardized format.

  • Designed an ETL pipeline to process and store data efficiently in AWS.

  • Applied business logic to harmonize pricing variations from different sources.

3. API Development & Deployment:

  • Built an AWS-hosted API to serve structured price data to the app.

  • Optimized API response times and ensured seamless integration.

  • Deployed a secure, scalable cloud infrastructure for reliability.

bottom of page