Success Story – Food Delivery App Data Scraping
Food Delivery App Data Scraping: Collect data from food delivery apps such as Uber Eats, Zomato, Swiggy, GrubHub, Food Panda, DoorDash, and others.
Main Challenges
The company struggled to find effective solutions for scraping food delivery app data in real-world situations.
Their request was to scrape data in real-time using a REST API call, not through successive extractions.
Additionally, they needed to handle requests in real-time, specifically to scrape food delivery pricing data via API.
The main challenges they faced included:
- Scraping data from food delivery apps.
- Taking screenshots of the food delivery mobile apps.
- Handling 300,000 to 1,000,000 requests daily.
- Scraping food delivery price data according to specific criteria.
Proven Solution
We provide accessible solutions for handling thousands of food delivery app scraping requests in real-time. Using inputs like restaurant names or food items, we extract detailed data such as restaurant addresses, opening hours, contact numbers, reviews, cuisines, payment methods, additional information, longitude and latitude, current promotions, menu items, popular dishes, food types, prices, discounts, and descriptions. This data is summarized into a JSON file, which we deliver to our customers. Our solutions feature robust infrastructure, including automated QA algorithms, regional proxies, high-end servers, and built-in captcha resolution services. We have set up automatic email notifications to inform customers about the total requests processed and any failed requests with specific error codes.
Food delivery app scraping benefits food delivery businesses in various ways:
- Brand Monitoring with Competitor Prices
- Competitive Prices for Food Delivery Platforms
- Extract Competitor Price Data from Various Food Delivery Stores
- Food Delivery Data with Graphical User Interface
- Item-wise Services, Packaging, Discounts, and Delivery Charges
- Mobile App Extraction of Food Delivery Apps
- Scrape Competitive Pricing Using Item Modifiers
- Scrape Region-Wise Competitor Pricing Data
Perfect Result
Our robust food delivery app data scraping API has helped organizations focus more on their daily core activities. The key features that have optimized their business include:
- Automated system to handle the daily flow of food orders.
- Automatic QA process that reduces the need for internal QA resources.
- Screenshot capture to validate food delivery data.
- Real-time data extraction for up-to-date insights.
- Scalable infrastructure to manage increasing data volumes.
- Easy integration with existing systems for seamless operation.
- Detailed reporting to track performance and identify trends.
- Secure data handling to protect sensitive information.
