Delivering Data Scraping Solutions to Global Leader in the Restaurant Industry

This case study reveals how a global restaurant leader used data scraping to gather competitor insights, menu pricing, and location data, enabling smarter strategy and stronger market positioning worldwide.
A
Travis Stuckey
National Sales Manager E-commerce at Hunter Fan
delivering-data-scraping-solutions-to-global-leader-in-the-restaurant-industry
500K

Faster Strategic Decision

100+

Engineering hours saved

100%

Previous Stockouts Result

Project Overview
Country

United Kingdom

Industry

E-Commerce

Time Invested

3000+ Man Hours

Project Duration

5 Months

Summary

About Client

Our client is a global restaurant brand with iconic fast-food chains and numerous franchises. Operating in over 150 countries with 50,000+ restaurants, it prioritizes advanced technologies and data-driven strategies to maintain its industry leadership.

Client Requirements

The client approached X-Byte for comprehensive data scraping services. They needed key datasets and an updated database of critical information. Specifically, they wanted restaurant data, store details, product information, and store coverage reports for specific locations. The data needed to be delivered in CSV format.

Challenges

Check out the challenges we faced:

  • Setting up data extraction for specific competitors and locations
  • Getting restaurant menu details and current offers within a timeline
  • Extracting data from both mobile and web platforms simultaneously
  • Gathering store, product, and aggregator details
  • Ensuring compliance with data accuracy, completeness, and timeliness
  • Delivering data in the defined format and meeting weekly deadlines
  • Addressing scalability for large data volumes
  • Managing data variations across different stores/locations

Solutions

Our team implemented effective data scraping solutions:

  1. Developed custom scripts for timely extraction of restaurant coverage with real-time offer visibility.
  2. Used automated advanced techniques for weekly data delivery.
  3. Created scalable data extraction solution for large data volumes.
  4. Implemented quality assurance and data validation processes.

Impact

Our data scraping solutions provided:

  1. High accuracy and completeness in data delivery to meet SLA standards.
  2. Comprehensive data coverage for all stores and products for better decision-making.
  3. Data delivered in the required format for smooth integration.
  4. Improved data management and accessibility for our clients.

Conclusion

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Content

  • About
  • BackGround
  • Challenge
  • Solutions
  • Impact
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