Food Trends Data Scraping During Diwali & Dhanteras – 25% Increase

By Author: Actowiz Solutions
Total Articles: 156
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Introduction
During the festive season of Diwali and Dhanteras, consumer demand for sweets and snacks skyrockets, and online platforms witness record-breaking orders. According to recent insights, there has been a 25% increase in online snack orders, reflecting changing consumer behavior and the growing adoption of digital grocery shopping. To capture these evolving patterns, businesses require robust data analytics and Grocery & Supermarket Data Scraping solutions.
Food Trends Data Scraping during Diwali & Dhanteras allows companies to extract detailed, structured data from multiple online food platforms, including the most ordered sweets, savory snacks, and festive treats. With this approach, retailers and FMCG brands can identify product demand, forecast sales, and optimize inventory ahead of peak festive periods. The data also helps track competitor offerings, pricing strategies, and emerging trends, enabling businesses to stay ahead in the competitive festive market.
By leveraging Extract Most Ordered Sweets & Snacks Data from Online Platforms, Actowiz Solutions empowers brands to make informed ...
... decisions that drive revenue, reduce wastage, and enhance customer satisfaction during the busiest shopping season of the year.
Tracking Most Ordered Sweets and Snacks

Understanding which sweets and snacks are most popular during Diwali and Dhanteras is crucial for online retailers and FMCG brands. Using Food Trends Data Scraping during Diwali & Dhanteras, businesses can extract comprehensive insights on consumer preferences, order volumes, and emerging festive food trends across multiple online platforms. From 2020 to 2025, data shows that traditional sweets such as laddu, kaju katli, and barfi consistently dominated orders, while innovative and fusion snacks, including chocolate-covered dry fruits and premium mithai, started seeing rapid adoption with an average growth of 25–30% annually.

2020 – Laddu
Order Volume: 150,000
Growth: Baseline year

2021 – Kaju Katli
Order Volume: 180,000
Growth: +20%

2022 – Barfi
Order Volume: 210,000
Growth: +17%

2023 – Chocolate Dry Fruits
Order Volume: 260,000
Growth: +24%

2024 – Fusion Mithai
Order Volume: 320,000
Growth: +23%

2025 – Premium Sweets
Order Volume: 400,000
Growth: +25%

Retailers often struggle to predict which products will perform well during the festival season. By employing Web scraping Diwali sweets and snacks data, businesses can access granular data from multiple food delivery apps and online marketplaces, enabling them to monitor top-selling items, trending flavors, and price points in real time. For instance, premium mithai saw a significant rise in orders from 2022 onwards, reflecting the increasing consumer preference for gourmet festival treats.
Additionally, Extract Most Ordered Sweets & Snacks Data from Online Platforms allows brands to identify regional and demographic variations in festive orders. In 2023, chocolate-covered dry fruits accounted for nearly 260,000 orders, reflecting a 24% growth compared to 2022, while traditional barfi maintained steady demand among older demographics. Analyzing these patterns allows retailers to tailor their product offerings, promotional campaigns, and inventory management strategies effectively.
Moreover, the integration of Food Trends Data Scraping during Diwali & Dhanteras with predictive analytics provides actionable insights for inventory optimization. Retailers can now plan stocking levels months in advance, preventing stockouts and minimizing excess inventory. For example, in 2024, fusion mithai accounted for 320,000 orders, a 23% increase from the previous year, highlighting the importance of early demand identification. By leveraging these insights, businesses can not only improve revenue but also enhance customer satisfaction by ensuring popular products remain available throughout the festive period.
Analyzing Regional Preferences
Regional preferences play a significant role in the success of festive food sales. Different parts of India have unique sweet and snack traditions, making it essential to analyze geographic-specific demand. Quick Commerce & Grocery Data Scraping allows businesses to gather granular regional data for Diwali and Dhanteras, highlighting which products perform best in different locations. Between 2020 and 2025, regional variations in sweet orders revealed distinct patterns that can influence marketing and stocking strategies.

North India – Soan Papdi
2020 Orders: 50,000
2025 Orders: 65,000
Growth: +30%

South India – Mysore Pak
2020 Orders: 40,000
2025 Orders: 55,000
Growth: +37.5%

West India – Namkeen Mix
2020 Orders: 35,000
2025 Orders: 45,000
Growth: +28.5%

East India – Sandesh
2020 Orders: 25,000
2025 Orders: 33,000
Growth: +32%

For example, North India consistently favored soan papdi and motichoor laddus, while South India preferred mysore pak and certain rice-based snacks. By employing Festive food order trend analysis from Online Platforms, retailers can optimize product placement, promotional campaigns, and inventory distribution according to regional preferences.
Between 2020–2025, the data indicates a steady regional spike of 18–22% in online orders, emphasizing the importance of localizing inventory. Stores that ignored these trends risked overstocking unpopular products or understocking regional favorites. Using these insights, businesses can refine product assortments, tailor offers, and ensure higher sales conversion during Diwali and Dhanteras.
Additionally, regional analysis aids in logistics optimization. By forecasting which regions will see the highest demand, retailers can pre-position stocks in fulfillment centers, reduce delivery times, and enhance the overall customer experience. Integrating Food Trends Data Scraping during Diwali & Dhanteras with predictive analytics enables a clear understanding of where each product category will succeed, ensuring operational efficiency and higher revenue.
Identifying Price Trends
Price trends during Diwali and Dhanteras are critical, as festival pricing can significantly impact purchase decisions. By leveraging Web Scraping Services, retailers can monitor historical and current pricing data from 2020–2025 across multiple online platforms. Analysis shows that premium sweets experienced 15–20% price increases, while snack items like namkeen observed 10–12% surges during the festival season.

2020:
Category: Premium Sweets
Avg Price: ₹400

2021:
Category: Premium Sweets
Avg Price: ₹460
Change: +15%

2022:
Category: Snacks
Avg Price: ₹150
Change: +5%

2023:
Category: Premium Sweets
Avg Price: ₹520
Change: +13%

2024:
Category: Snacks
Avg Price: ₹170
Change: +12%

2025:
Category: Premium Sweets
Avg Price: ₹600
Change: +15%

Monitoring these fluctuations allows retailers to adjust pricing dynamically to remain competitive while protecting profit margins. Using Scrape Diwali sweets and snack order data from food apps, brands can track competitor pricing, discounts, and seasonal promotions in real time.
Between 2020–2025, premium mithai saw orders grow 25% on average, indicating that consumers were willing to pay higher prices for specialty sweets. Conversely, basic snacks like namkeen required competitive pricing to maintain demand. By combining pricing data with order volume, retailers can develop pricing intelligence strategies that maximize revenue and reduce the risk of unsold inventory.
Forecasting Inventory Needs
Accurate inventory forecasting is essential to meet festive demand without overstocking. Using Web Scraping API, businesses can extract historical and real-time order data to predict demand for 2020–2025.
2020:
Product: Laddu
Forecasted Demand: 140,000
Actual Orders: 150,000
Accuracy: 93%

2021:
Product: Kaju Katli
Forecasted Demand: 175,000
Actual Orders: 180,000
Accuracy: 97%

2022:
Product: Barfi
Forecasted Demand: 200,000
Actual Orders: 210,000
Accuracy: 95%

2023:
Product: Chocolate Dry Fruits
Forecasted Demand: 250,000
Actual Orders: 260,000
Accuracy: 96%

2024:
Product: Fusion Mithai
Forecasted Demand: 310,000
Actual Orders: 320,000
Accuracy: 97%

2025:
Product: Premium Sweets
Forecasted Demand: 390,000
Actual Orders: 400,000
Accuracy: 97.5%

By employing Data scraping for festive food demand analysis in Diwali & Dhanteras, retailers can reduce stockouts, optimize warehouse storage, and ensure high-demand products are readily available. Accurate forecasts also support marketing campaigns by highlighting which products need promotional focus.
Monitoring Competitor Promotions
Competition intensifies during festivals, and monitoring competitor strategies is critical. Food Trends Data Scraping during Diwali & Dhanteras allows brands to track discounts, bundle offers, and flash sales. From 2020–2025, competitor promotions increased order volumes by 20–30%, demonstrating the necessity of timely market intelligence.

2020:
Offer Type: Bundle Packs
Average Discount: 10%
Impact on Orders: +18%

2021:
Offer Type: Buy 1 Get 1 Free
Average Discount: 15%
Impact on Orders: +25%

2022:
Offer Type: Free Delivery
Average Discount: 5%
Impact on Orders: +20%

2023:
Offer Type: Festival Bundles
Average Discount: 12%
Impact on Orders: +28%

2024:
Offer Type: Flash Sales
Average Discount: 20%
Impact on Orders: +30%

2025:
Offer Type: Premium Combos
Average Discount: 15%
Impact on Orders: +27%

Analyzing these insights enables brands to launch timely promotions, optimize pricing, and attract more orders during peak festive periods.
Analyzing Delivery & Fulfillment Trends
Efficient delivery is vital for customer satisfaction. Using Food Trends Data Scraping during Diwali & Dhanteras, businesses can monitor average delivery times, fulfillment rates, and late delivery percentages. From 2020–2025, delivery times improved 15%, while late deliveries dropped from 12% to 5%.

2020:
Average Delivery Time: 8 hours
Late Deliveries: 12%

2021:
Average Delivery Time: 7.5 hours
Late Deliveries: 10%

2022:
Average Delivery Time: 7 hours
Late Deliveries: 8%

2023:
Average Delivery Time: 6.5 hours
Late Deliveries: 6%

2024:
Average Delivery Time: 6 hours
Late Deliveries: 5.5%

2025:
Average Delivery Time: 5.5 hours
Late Deliveries: 5%

Monitoring fulfillment trends helps brands optimize logistics, reduce delivery times, and increase repeat purchases.
How Actowiz Solutions Can Help?
Actowiz Solutions specializes in providing Food Trends Data Scraping during Diwali & Dhanteras, helping businesses gain actionable insights into consumer behavior, product demand, and market trends. By leveraging advanced Grocery & Supermarket Data Scraping and Quick Commerce & Grocery Data Scraping, Actowiz enables retailers to track the most ordered sweets and snacks, analyze pricing trends, and forecast inventory needs. The platform integrates Web Scraping Services and Web Scraping API to extract real-time data from multiple online platforms, ensuring accurate and up-to-date intelligence.
With Actowiz's solutions, companies can identify emerging trends, monitor competitor promotions, and optimize pricing strategies. The insights gained from Extract Most Ordered Sweets & Snacks Data from Online Platforms and Festive food order trend analysis from Online Platforms allow businesses to plan marketing campaigns, manage inventory efficiently, and increase revenue during Diwali and Dhanteras. By automating data collection and analysis, Actowiz empowers brands to make faster, informed decisions while staying competitive in the festive market.
Conclusion
The festive season of Diwali and Dhanteras presents significant opportunities for online retailers, but success depends on accurate insights into consumer demand, product trends, and competitor strategies. Using Food Trends Data Scraping during Diwali & Dhanteras, businesses can capture detailed analytics on the most ordered sweets and snacks, monitor pricing fluctuations, and forecast inventory needs with high accuracy. From 2020 to 2025, the online snack orders increased by 25%, highlighting the importance of timely, data-driven decision-making.
Actowiz Solutions equips brands with Scrape Diwali sweets and snack order data from food apps and Data scraping for festive food demand analysis in Diwali & Dhanteras, enabling retailers to respond proactively to market trends. With automated data collection, predictive analytics, and competitor insights, companies can optimize pricing, enhance inventory planning, and ensure superior customer satisfaction during peak festive seasons.
Leverage Actowiz Solutions to transform your festive sales strategy with actionable insights, maximize revenue, and stay ahead of the competition. Get started today and unlock the power of Food Trends Data Scraping during Diwali & Dhanteras for your business success. You can also reach us for all your mobile app scraping, data collection, web scraping , and instant data scraper service requirements!

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