Real-time food delivery data monitoring via Lieferando API
                     Collecting Restaurant & 
Delivery Data Using the 
Lieferando API for Real-time 
Food Delivery Data Monitoring 
via Lieferando API
Introduction
The food delivery industry has experienced 
unprecedented growth over the past five years. With 
changing consumer behaviors, rising demand for 
convenience, and the emergence of cloud kitchens, 
restaurants and delivery platforms face increasing 
competition. For restaurants, aggregators, and market 
analysts, accessing real-time, structured delivery data is 
critical for operational decisions, menu optimization, and 
market strategy.
By leveraging a Food Data Scraping API, businesses can 
enable Real-time food delivery data monitoring via 
Lieferando API, giving them the ability to track menu 
updates, delivery times, customer ratings, and 
competitor performance efficiently. This ensures timely 
insights, reduces operational bottlenecks, and helps 
stakeholders respond to trends quickly. This blog 
explores how Real Data API can help businesses collect, 
analyze, and act on Lieferando data to improve 
operations, optimize menus, and identify growth 
opportunities across regions.
Understanding Restaurant Performance 
Metrics
From 2020 to 2025, the number of restaurants partnering 
with delivery platforms like Lieferando grew significantly, 
reflecting the increased reliance on online ordering. By 
using tools to extract restaurant data using the 
Lieferando API, businesses can monitor metrics such as 
active restaurants, delivery times, order frequency, and 
customer ratings.
Key trends observed over the years include:
• 2020: 12,000 active restaurants with an average 
delivery time of 35 minutes
• 2021: 14,500 restaurants; customer ratings improved by 
8% due to enhanced delivery services
• 2022: 18,000 restaurants; average daily orders 
increased 25%, driven by pandemic-induced demand
• 2023: 21,000 restaurants; new cuisine categories like 
plant-based and vegan introduced
• 2024: 23,500 restaurants; online promotions increased 
orders by 15%
• 2025: 26,000 restaurants; average delivery time 
reduced to 28 minutes
This structured data allows restaurants to benchmark 
their performance, identify areas for improvement, and 
optimize delivery operations across different regions.
Optimizing Menus and Delivery Insights
Restaurants can gain a competitive edge by analyzing 
menu items, pricing, and delivery patterns. Using 
Real Data API, businesses can perform Web Scraping 
menu and delivery insights from Lieferando. From 2020–
2025, major trends included:
• Pizza, pasta, and burgers remained top-sellers, while 
plant-based and Asian fusion meals grew by 35%
• Average meal prices increased 10% in major cities due 
to premium ingredients
• Delivery times improved by 20% through predictive 
routing and optimized driver allocation
Structured datasets allow restaurants to compare their 
menu offerings with competitors, optimize pricing, and 
identify peak delivery hours for promotions. Visual 
dashboards simplify interpretation and enable faster 
operational decision-making.
Comprehensive Restaurant Listings
By leveraging a Lieferando restaurant listings and menu 
data extractor, businesses can map trends across 
countries and cities. Insights from 2020–2025 show:
• 2020–2021: Focused on local chains with casual dining 
concepts
• 2022: Expansion to international cuisines and cloud 
kitchens
• 2023: Introduction of loyalty programs and seasonal 
promotional campaigns
• 2024–2025: Real-time monitoring of menu updates, 
bestseller tracking, and customer reviews
This allows businesses to identify market gaps, 
benchmark competitors, and understand which cuisines 
and menu items are performing well across regions.
Trends in Food Delivery
Using Food delivery trends using Lieferando API data, 
analysts can track evolving consumer behaviors and 
industry shifts. Notable trends between 2020–2025 
include:
• Online orders grew 60% due to the rise of mobile app 
usage and convenience-focused consumers
• Average spend per order increased from €18 to €23
• Evening deliveries accounted for 55% of orders, while 
weekend orders rose 30%
• Plant-based, vegan, and gluten-free meals saw a 45% 
increase in popularity
Monitoring these trends allows restaurants to optimize 
operational planning, tailor menus for peak hours, and 
design targeted marketing campaigns that resonate with 
evolving customer preferences.
Restaurant Analytics and Insights
Leveraging Lieferando data scraping for restaurant 
analysis, businesses can extract reviews, ratings, menu 
offerings, and delivery statistics. Key insights from 2020–
2025 include:
• Restaurants using real-time data insights improved 
delivery efficiency by 20–25%
• Customer satisfaction scores increased by 15% due to 
accurate order tracking and menu optimizations
• Repeat customers rose by 30% for restaurants 
implementing data-driven menu updates
• Seasonal trends and bestseller items could be identified, 
enabling better stock management
These actionable insights help businesses refine their 
operations, allocate resources efficiently, and make 
informed strategic decisions that drive growth.
Leveraging Lieferando API for Real-time 
Monitoring
The Lieferando.at Delivery API combined with Real-time 
food delivery data monitoring via Lieferando API provides 
restaurants and analysts with seamless access to 
structured, real-time data. Benefits include:
• Automated extraction of restaurant and menu data
• Monitoring of delivery times, ratings, and customer 
feedback
• Competitor tracking and identification of seasonal or 
promotional trends
• Integration into dashboards for live analytics and 
reporting
This reduces manual data collection, improves operational 
efficiency, and allows decision-makers to react instantly to 
emerging trends in the competitive food delivery market.
Why Choose Real Data API?
Real Data API provides a comprehensive Food Dataset
 that enables restaurants, analysts, and aggregators to:
• Integrate restaurant, menu, and delivery data into 
analytics platforms
• Access real-time insights for multiple locations 
simultaneously
• Benchmark performance against competitors and 
market trends
• Predict demand fluctuations and optimize delivery 
logistics
The API improves accuracy, reduces manual workload, 
and accelerates operational and marketing decision-
making for businesses operating in the fast-paced food 
delivery sector.
Conclusion
The food delivery landscape is evolving rapidly, and 
businesses that leverage data gain a competitive edge. 
By using Real Data API to Scrape Real-time data on 
Freshii's healthy food offerings, restaurants can monitor 
menus, track delivery trends, and optimize operational 
efficiency. Coupled with Market Research capabilities and 
Real-time food delivery data monitoring via Lieferando 
API, companies can make informed decisions, improve 
customer satisfaction, and strategically expand their 
offerings.
Start leveraging Real Data API today to access structured, 
real-time delivery data and drive smarter, data-driven 
growth in the competitive restaurant market!
Source: 
https://www.realdataapi.com/real-time-food-delivery-data-mo
nitoring-via-lieferando-api.php