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Scraping Web Scraping

Case Study: Food & Grocery Data Scraping from DoorDash

The Challenge

Our client, a food delivery analytics and retail intelligence firm, needed to collect restaurant, grocery, and convenience store data from DoorDash – including menus, product names, pricing, ratings, and delivery availability. With thousands of listings updated frequently across multiple cities, manual data extraction was not feasible for maintaining real-time insights.

Hurdles We Faced

  • Dynamic & API-Based Content: DoorDash uses React-based dynamic pages and internal APIs, preventing traditional HTML scraping.
  • Geo-Location Restrictions: Data visibility changes by city and zip code, requiring automated location switching.
  • Anti-Bot & Rate Limits: Repeated queries triggered request blocking and throttling.
  • Complex Nested Data: Each store or restaurant contained layered categories, modifiers, and product options.

Our Step-by-Step Approach

Requirement Analysis:
Outlined key fields – store/restaurant name, location, menu/product categories, item names, prices, ratings, and availability.

API Reverse Engineering:
Inspected network traffic to identify and utilize internal APIs for structured, faster, and more reliable data access.

Proxy & Geo-Targeted Setup:
Integrated rotating proxies with city-based targeting to simulate user requests from different locations.

Custom Scraper Development:
Built Python-based automated scripts to extract data for restaurants, grocery stores, and convenience shops with full item details and prices.

Data Cleaning & Structuring:
Transformed raw JSON data into a standardized format ready for dashboards, analytics, and comparison tools.

Automation & Scheduling:
Configured automated scraping to update data daily, ensuring real-time insights into changing menus and pricing.

Results & Impact

  • Extracted comprehensive food and grocery data across multiple DoorDash locations.
  • Delivered structured, analytics-ready datasets for competitor analysis, trend detection, and pricing optimization.
  • Enabled the client to track changes in menus, stock, and promotions with minimal manual effort.

Our Services & Expertise

At Ascendance Solutions, we specialize in:

  • Food & Grocery Platform Data Scraping
  • Geo-Targeted Proxy Management
  • API-Based Data Extraction & Automation
  • Data Structuring for Analytics & Market Intelligence

📧 Connect with us at connect@ascendancesolutions.com to automate food and grocery data collection from DoorDash and similar delivery platforms.

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