Case Study: Restaurant & Menu Data Scraping from Uber Eats
The Challenge
Our client, a food analytics and restaurant aggregator startup, needed to collect restaurant, menu, and pricing data from Uber Eats across multiple cities. The goal was to analyze pricing trends, menu variations, and restaurant availability in different regions. Manual data gathering was impossible due to the platform’s dynamic structure and massive volume of listings.
Hurdles We Faced
- Dynamic Data Loading: Uber Eats uses API-driven and JavaScript-rendered content, making HTML scraping ineffective.
- Geo-Restricted Content: Restaurant listings vary by location, requiring automated city-wise scraping.
- Anti-Bot & Rate Limiting: Heavy security and request monitoring triggered CAPTCHAs and temporary bans.
- Complex Data Structure: Each restaurant had nested details like categories, menu items, add-ons, and prices.
Our Step-by-Step Approach
Requirement Analysis:
Identified essential fields – restaurant name, location, cuisine, ratings, menu items, pricing, and availability.
API Reverse Engineering:
Analyzed Uber Eats network requests to map internal APIs for structured and reliable data extraction.
Proxy & Geo-Targeting Setup:
Used rotating proxies with location targeting to fetch restaurant data from multiple cities seamlessly.
Custom Scraper Development:
Built Python-based scripts to extract restaurant-level and item-level data, including variations, combos, and add-ons.
Data Cleaning & Structuring:
Standardized data into a clean format – ideal for comparison, analytics dashboards, or database integration.
Automation & Scheduling:
Configured automated daily scraping to keep menus, pricing, and restaurant availability constantly updated.
Results & Impact
- Successfully extracted tens of thousands of restaurant listings and their complete menus from Uber Eats.
- Provided structured, analytics-ready data for pricing comparison, competitor tracking, and market analysis.
- Enabled real-time insights into menu trends, regional pricing, and restaurant growth patterns.
Our Services & Expertise
At Ascendance Solutions, we specialize in:
- Food Delivery Platform Scraping & Automation
- Geo-Targeted Proxy Integration
- API-Based Data Extraction & Structuring
- Real-Time Analytics for Restaurant & FoodTech Businesses
📧 Connect with us at connect@ascendancesolutions.com to automate restaurant and menu data extraction from platforms like Uber Eats and gain powerful insights for your business.
