Scrape Top Ordered Food from Deliveroo On Ramadan 2025
Scrape Top Ordered Food from Deliveroo On Ramadan 2025 to Uncover Iftar Trends
A leading Middle Eastern food analytics company approached us during Ramadan 2025 with a unique requirement. They wanted to identify the most frequently ordered dishes across major cities during the holy month. The goal was to analyze consumer preferences and help restaurant partners optimize their menus for next Ramadan. To meet this demand, we offered our advanced data scraping solution to Scrape Top Ordered Food from Deliveroo On Ramadan 2025. By collecting real-time order frequency, cuisine types, and dish popularity rankings across Iftar and Suhoor hours, we were able to deliver actionable insights. The client used our service to Extract Top 100 Ramadan Food Data from Deliveroo, gaining deep visibility into regional trends. The result: smarter menu engineering, targeted promotions, and data-backed strategy for Ramadan campaigns in 2026.
The Client
A Well-known Market Player in the online Food Delivery Business
iWeb Data Scraping Offerings: Use data crawling services to Scrape Ramadan Food Order Insights Data from Deliveroo.
Client's Challenge:
Before partnering with us, the client faced multiple obstacles in Scraping Food Trends Data in Ramadan 2025 from Deliveroo. Their team lacked the necessary automation tools to accurately extract high-frequency order data across diverse regions and time slots. Deliveroo's platform presents different dishes based on user location, time of day, and availability, making manual tracking ineffective. They also struggled to isolate data for Iftar periods, which was essential for identifying customer preferences. Moreover, their internal analytics team was unable to access structured datasets or maintain consistency across multiple cities, resulting in gaps in insights. The inability to focus on Web Scraping Top Iftar Items Ordered Data on Deliveroo 2025 restricted their ability to forecast demand and optimize restaurant promotions. Without access to reliable Deliveroo Food Delivery App Datasets , the client was unable to generate region-wise or cuisine-specific Ramadan food intelligence, thereby limiting their overall strategic impact.
Our Solutions: Food Delivery Data Scraping
To address the client's data challenges, we provided tailored Deliveroo Food Data Scraping Services that enabled real-time tracking of popular food items across various cities during Ramadan 2025. Our solution filtered listings by time, location, and meal type, helping the client isolate Iftar-specific ordering patterns. We implemented dynamic data extraction to adapt to changes in Deliveroo's interface and ensure consistency across all target regions. Our advanced Food Delivery Data Scraping Services captured dish names, cuisine types, frequency of orders, and promotional tags—delivered in clean, structured formats ready for analysis. Through our Restaurant Data Scraping Service , we provided deep insights into restaurant-level performance and user behavior. This enabled the client to identify top-performing dishes accurately, plan demand forecasts, and assist partner restaurants in optimizing their menus and marketing strategies for the upcoming Ramadan season with confidence and data-backed precision.
Web Scraping Advantages
- Track Top-Selling Dishes Automatically: Our services help businesses track the most popular food items on a daily, weekly, or special event basis, such as Ramadan, without requiring manual effort.
- Understand Customer Preferences Better: Gain deep insights into cuisine popularity, portion sizes, and promotional response, enabling personalized customer engagement strategies.
- Monitor Restaurant Competitor Performance: Analyze competitor menus, stock availability, pricing tactics, and order volumes to stay ahead in the competitive food delivery space.
- Identify Supply and Demand Gaps: Identify out-of-stock patterns and underserved dishes, enabling brands and kitchens to adjust inventory and optimize fulfillment strategies.
- Support Strategic Business Expansion: Use hyperlocal food ordering trends to guide expansion into high-demand areas, launch new cloud kitchens, or introduce regional favorites.
Final outcome
The final results exceeded the client's expectations. With our tailored Food Delivery Data Intelligence Services, the client identified the top 100 most popular dishes ordered during Ramadan across key cities. This enabled them to provide restaurant partners with accurate and actionable insights. Using our Restaurant Data Intelligence Services, they mapped demand peaks by time, cuisine, and location. The insights were packaged using structured Food Delivery App Menu Datasets , making integration into their BI tools seamless. As a result, partner restaurants optimized their menus, improved stock planning, and increased Iftar-time order conversions by over 22%, ensuring a data-driven advantage for the following Ramadan campaigns.
Client Testimonial
"Partnering with this team for our Ramadan 2025 food trend analysis was a game-changer. Their ability to Scrape Top Ordered Food from Deliveroo On Ramadan 2025 and provide timely, clean datasets allowed us to uncover actionable insights like never before. From Iftar favorites to regional dish preferences, every detail was meticulously captured. Their responsiveness, technical expertise, and deep understanding of food delivery platforms exceeded our expectations. Thanks to their Deliveroo Food Data Scraping Services, we helped our restaurant partners optimize menus and increase order volume during the peak season."
—Head of Consumer Insights
English
Arabic
French
Portuguese
Deutsch
Turkish
Dutch
Italiano
Russian
Romaian
Portuguese (Brazil)
Greek