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SunTec India Enables 40% Savings with Hybrid Data Scraping Approach

SunTec India helped a U.S.-based energy consulting firm cut data collection costs by 40% and achieve 100% accuracy using a hybrid scraping approach. By combining manual extraction, smart scheduling, and QA, they built a scalable, error-free data pipeline powering real-time insights for Retail Energy Pricing (REP) feeds.Visit: https://www.suntecindia.com/

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SunTec India Enables 40% Savings with Hybrid Data Scraping Approach

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  1. SunTec India Enables 40% Savings with Hybrid Data Scraping Approach Cutting Data Collection Costs by 40% for a U.S.-based Energy Consulting Firm A case study on manual and automated web data extraction services delivered by SunTec India

  2. The Client A US-based management consulting firm specializing in guiding energy companies through complex industry challenges to achieve operational excellence.

  3. Project Requirements To power their retail energy pricing (REP) feed, which enables end-users to track and analyze energy market fluctuations in real–time, the client needed accurate, granular data. This meant capturing ZIP-level pricing data for electricity and natural gas plans across hundreds of U.S. regions. The SunTec India team was involved to support the entire data lifecycle—from weekly data collection and data management to quality-controlled delivery across a high- volume, high-variance dataset. The requirements included: Manual website data extraction from client-specified websites of energy companies Weekly data collection to reflect any changes in prices Capturing local pricing variations using area ZIP codes Maintaining consistent data entry formats for easy analysis Ensuring 100% data accuracy

  4. Project Challenges The client faced hurdles in automating their data collection process: Navigating varied website structures and layouts that blocked standardized automation scripts Dealing with dynamic content loading and anti-scraping measures that reduced automation accuracy Managing large volumes of data from multiple providers while ensuring accessibility for analysis

  5. Our Solution The project started in 2023 with a team of three subject matter experts. Our team provided custom data extraction services to the client by: Developing extraction protocols for websites with unique structure and layout Bypassing IP blocking restrictions through VPN networks and proxy servers Solving CAPTCHAs and accessing data that automated scripts were unable to retrieve Interacting with JavaScript-powered dynamic content by clicking buttons and scrolling Implementing cookie management, session clearing, and natural user behavior simulation Creating data collection schedules and assigning dedicated team members to ensure timely updates Implementing manual verification, cross-checking procedures, and regular quality audits to guarantee 100% accuracy

  6. Project Outcomes Zero Discrepancies Cost Reduction Timely Delivery Zero data discrepancies observed in client audits over a 12-month period 40% reduction in overhead costs by addressing gaps in automated data extraction 100% on-time data delivery covering all provider websites and ZIP codes

  7. Struggling with Expensive, Time-Consuming Data Collection Processes? Let’s talk about how data experts at SunTec India can help you: Reduce data collection costs without sacrificing accuracy Build scalable data workflows for complex environments Turn messy, fragmented data into reliable market intelligence Contact us at info@suntecindia.com to discuss your specific requirements and outsource data collection services. Website: https://www.suntecindia.com/ Phone: +15852830055 / +442035142601

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