Case Study: Restaurant & Menu Data Scraping from Wetherspoon
The Challenge
Our client, a food analytics and restaurant aggregator platform, needed to extract restaurant details, menus, prices, and nutritional information from the Wetherspoon website. With hundreds of pub locations and frequently changing menu data, manual collection was inefficient and error-prone.
Hurdles We Faced
- Dynamic Menus: Menu content was loaded via JavaScript and required deep crawling.
- Location-Based Data: Each pub displayed unique menus and offers depending on region.
- Frequent Updates: Seasonal menus and pricing were updated regularly.
- Bot Protection: The site employed anti-scraping mechanisms to block automated traffic.
Our Step-by-Step Approach
1. Requirement Analysis
We defined all essential data fields – pub name, location, menu items, pricing, allergens, and offers.
2. Smart Scraper Design
Built a Python-based scraper with Selenium and API parsing to capture dynamically loaded content across all locations.
3. Proxy & Anti-Bot Solutions
Integrated rotating proxies and dynamic headers to bypass rate limits and maintain smooth data collection.
4. Data Structuring & Cleaning
Transformed raw data into a clean, relational dataset suitable for analysis, dashboards, and cross-restaurant comparisons.
5. Automation & Updates
Set up automated scripts to run periodically, ensuring menu and pricing data stayed up-to-date.
Results & Impact
- Extracted complete restaurant and menu data for all Wetherspoon pubs.
- Enabled real-time menu monitoring and price comparison across locations.
- Reduced manual research workload by more than 90%.
Our Services & Expertise
At Ascendance Solutions, we specialize in:
- Restaurant & Menu Data Scraping
- Dynamic Website & API Extraction
- Proxy-Managed Secure Crawling
- Automation for Food & Hospitality Analytics
📧 Connect with us at connect@ascendancesolutions.com to automate menu and restaurant data extraction from Wetherspoon or similar platforms for analytics, pricing, or competitive insights.
