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Scraping Web Scraping

Case Study: Scraping Menu Data from Different Restaurant & Bar Android/iOS Apps

The Challenge

Our client, a hospitality analytics company, needed comprehensive menu data from multiple bar apps to analyze trends, pricing, and offerings across the city. Each bar app had its own layout and dynamic interface, and there were hundreds of listings, making manual collection inefficient and prone to errors.

The goal was to extract accurate menu details—including drinks, prices, and categories—from multiple apps and aggregate the data into a single, usable format.


Hurdles We Faced

  1. Diverse App Interfaces: Each bar app had a unique design and structure, requiring customized scraping approaches.
  2. Dynamic Content Loading: Menus often loaded dynamically via JavaScript, preventing simple HTML parsing.
  3. Rate Limits and Anti-Bot Protections: Many apps implemented throttling and bot detection mechanisms.
  4. Data Standardization: Each app displayed menu data differently, so consolidating it into a single format was challenging.

Our Step-by-Step Approach

  1. Requirement Analysis:
    Identified key data points needed for each bar: item name, category, price, and availability.
  2. Custom Scraping Scripts:
    Developed Python-based scraping scripts using Selenium and API integration where possible to fetch menu data from each bar app reliably.
  3. Handling Anti-Bot Measures:
    Implemented rotating proxies, randomized request intervals, and automated retries to avoid detection and maintain uninterrupted data collection.
  4. Data Cleaning & Standardization:
    Converted menu data from different apps into a uniform structure, ensuring easy comparison and analysis.
  5. Database Integration:
    Aggregated all menu data into a central database, allowing our client to access it in real time and generate insights on trends and pricing.

Results & Impact

  • Successfully extracted menu data from hundreds of bar apps with consistent accuracy.
  • Reduced manual effort from days to hours.
  • Provided the client with a centralized database to analyze offerings, pricing, and trends.
  • Built a scalable system that can be extended to new apps as they are added.

Our Services & Expertise

At Ascendance Solutions, we specialize in:

  • Web & App Scraping for structured and dynamic content
  • Automation to streamline repetitive data collection tasks
  • AI & Data Processing to turn raw data into actionable insights

Whether you need data from apps, websites, or other platforms, our team can deliver accurate, reliable, and scalable solutions.

📧 Connect with us at connect@ascendancesolutions.com to discuss how we can help your business extract and utilize critical data.

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