Case Study: Menu & Location Data Scraping from Be At One
The Challenge
Our client, a hospitality analytics and nightlife directory company, wanted to extract menu details, bar locations, timings, and contact information from the Be At One website. The goal was to create a centralized database of cocktail menus and branch details for trend analysis and listing automation.
Hurdles We Faced
- Dynamic Menu Sections: Cocktails and drinks were loaded dynamically from JSON endpoints.
- Multiple Locations: Each branch had unique menus, contact details, and opening hours.
- Media Extraction: Drink images and descriptions were embedded in nested scripts.
- Anti-Bot Protection: The platform used traffic filters and blocking mechanisms against automated scraping.
Our Step-by-Step Approach
Requirement Analysis:
Identified essential fields — drink name, ingredients, price, image, bar name, address, contact info, and timings.
Custom Scraper Development:
Developed a Python-based scraper capable of parsing both the menu API and individual bar location pages.
Proxy & Anti-Bot Handling:
Implemented rotating residential proxies, request delays, and header randomization to ensure consistent access without detection.
Data Structuring & Cleaning:
Standardized extracted data into a structured format suitable for integration into databases or content management systems.
Automation Setup:
Configured scheduled scripts to update menus and locations automatically whenever new data was published.
Results & Impact
- Extracted complete menu and branch data across all Be At One locations.
- Enabled real-time data updates for listings and cocktail analytics.
- Reduced manual research and data entry time by over 90%.
Our Services & Expertise
At Ascendance Solutions, we specialize in:
- Hospitality & Restaurant Data Scraping
- Dynamic Content & API-Based Extraction
- Proxy & Anti-Bot Management
- Automated Data Integration into CMS Platforms
📧 Connect with us at connect@ascendancesolutions.com to automate data scraping from Be At One or similar hospitality websites for menus, locations, and trend analytics.
