Diwali & Dhanteras Home Décor Trends - Insights from Amazon, Flipkart, and Myntra When Scrape Diwali Product Data from eCommerce Sites

Introduction

The festive season of Diwali and Dhanteras is a peak period for online retail, especially in home décor, electronics, jewelry, and fashion segments. Understanding consumer preferences, price fluctuations, and promotional trends during this period is critical for eCommerce businesses, brands, and market analysts. By leveraging Scrape Diwali product data from eCommerce sites, businesses can gather real-time insights on trending products, price movements, and shopper behavior across leading platforms such as Amazon, Flipkart, and Myntra.

Product Data Scrape provides advanced festival product scraping API and Scrape Data From Any Ecommerce Websites services, enabling extraction of structured data for home décor, electronics, jewelry, and fashion items. Using scrape Diwali and Dhanteras festive product data, businesses gain visibility into seasonal trends, enabling them to forecast demand, optimize pricing, and design targeted marketing campaigns.

With Diwali product dataset for market research, stakeholders can analyze historical and real-time trends to make informed decisions. From Diwali festival product price scraping to scraping Diwali festival discounts and trends, actionable intelligence helps brands stay competitive while enhancing customer engagement and sales conversion during the festive peak.

Tracking Home Décor Sales Trends (2020–2025)

The Diwali and Dhanteras festive season has become one of the most significant periods for online home décor sales in India. Consumers increasingly prefer online platforms such as Amazon, Flipkart, and Myntra for convenient access to lamps, wall art, festive lighting, and decorative accents. By using Scrape Diwali product data from eCommerce sites, Product Data Scrape was able to analyze trends and provide actionable insights to retailers and brands.

*Projected mid-2025 Analysis reveals that the average price of home décor items increased by approximately 30% from 2020 to 2025, reflecting both rising demand and inflationary pressures. Discounts also rose steadily, from 12% in 2020 to a projected 22% in 2025, demonstrating an aggressive promotional strategy by eCommerce retailers. Units sold also increased, highlighting a clear uptick in consumer engagement during the festive period.

By employing scrape Diwali and Dhanteras festive product data, brands can segment trends by category, city, and price range. For instance, decorative lamps and fairy lights consistently recorded the highest sales volume, whereas wall art and showpieces saw higher average selling prices with moderate volumes. This segmentation allows marketers to focus their campaigns on high-demand SKUs while maintaining healthy profit margins.

Additionally, the use of Diwali product dataset for market research enables predictive analysis of seasonal trends. Retailers can identify which SKUs are likely to surge in demand in future festive periods, optimizing inventory levels to prevent stockouts or overstocking. Web Data Intelligence API provides continuous feeds of real-time data, enabling dynamic adjustments in pricing, promotional strategy, and stock allocation.

In conclusion, leveraging SKU-level price intelligence for home décor allows retailers to make data-driven decisions, maximizing sales opportunities while providing consumers with relevant and competitively priced products. Retailers who implement real-time analytics gain a clear advantage in the highly competitive festive shopping landscape.

Electronics & Gadgets Buying Patterns

The electronics category sees a significant spike in sales during Diwali and Dhanteras, driven by both gifts and personal purchases. Products such as smartphones, laptops, smart TVs, and kitchen appliances dominate sales. Product Data Scrape employed scrape Dhanteras jewelry and electronics data and Extract Electronics Product Data to gain actionable insights into trends, pricing, and promotional effectiveness.

Analysis of the table demonstrates that average product prices increased steadily, reflecting both new product launches and enhanced features. Discounts also grew annually, demonstrating competitive pricing strategies adopted by online marketplaces. Units sold show a clear upward trajectory, suggesting rising consumer adoption and trust in online electronics shopping.

By applying Diwali festival product price scraping, retailers can track competitor pricing, identify the most attractive promotional offers, and adjust their pricing strategies in real-time. For example, smartphones showed the highest variance in discounts, often ranging from 10% to 25% during peak sales days. Product Data Scrape’s Scrape Diwali festive shopping data API helps brands dynamically adjust promotional offers to maximize revenue while maintaining competitive positioning.

Another critical insight from the data is the regional variance in electronics sales. Tier-1 cities contribute a significant share of revenue, but Tier-2 and Tier-3 cities are seeing a rapid increase in adoption due to expanding internet penetration and festive digital campaigns. Retailers leveraging Custom eCommerce Dataset Scraping can segment data by geography, enabling precise marketing campaigns and inventory allocation.

Furthermore, SKU-level monitoring allows predictive analytics for stock replenishment. High-demand SKUs are prioritized to prevent lost sales, while slower-moving SKUs are discounted strategically. SKU-level price intelligence ensures that each product is competitively priced, balancing profitability and sales volume.

Overall, understanding electronics buying patterns through real-time scraping Diwali festival discounts and trends allows retailers to forecast demand, optimize pricing, and deliver targeted offers to maximize festive revenue.

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Jewelry & Accessories Buying Insights

The Dhanteras festival is synonymous with purchasing gold, silver, and other jewelry, making it one of the highest-grossing periods for online jewelry and accessory sales. Product Data Scrape leveraged Extract Jewelry & Accessories Data and scrape Dhanteras jewelry and electronics data to analyze trends, pricing strategies, and consumer behavior from platforms like Amazon, Flipkart, and Myntra.

Analysis shows steady growth in both average price and units sold from 2020 to 2025. While discounts remain moderate compared to electronics and fashion, they are strategically applied to high-value items to incentivize purchases. By applying SKU-level price intelligence, retailers can identify high-demand jewelry items and offer targeted promotions that maximize revenue.

Additionally, using scraping Diwali festival discounts and trends, Product Data Scrape provided insights into top-performing SKUs, seasonal variations in product popularity, and competitor promotional tactics. This information is critical for aligning stock levels with anticipated demand. Diwali product dataset for market research also enables trend forecasting, identifying the materials, designs, and categories that resonate most with consumers.

The data revealed that gold jewelry accounted for 60% of total units sold, while silver and artificial jewelry comprised the remaining 40%. By monitoring SKU-level trends, brands can optimize inventory, pricing, and promotional strategies. Retailers using Pricing Intelligence Services can strategically schedule flash sales, highlight premium products, and respond to competitor price changes instantly.

In conclusion, SKU-level price intelligence combined with jewelry-specific scraping enables brands to maintain competitive pricing, improve conversion rates, and increase sales efficiency during the high-stakes Dhanteras shopping season.

Fashion & Apparel Sales Trends

Fashion and apparel sales peak during Diwali, with consumers purchasing ethnic wear, festive footwear, and accessories. Product Data Scrape utilized Extract Fashion & Apparel Data and scrape Diwali and Dhanteras festive product data to track pricing, discounts, and units sold on major eCommerce platforms.

Analysis indicates a consistent rise in both average price and discount percentages, suggesting aggressive promotional strategies. Units sold increased steadily, highlighting a shift toward online festive shopping for fashion items. Retailers benefit from Diwali festival product price scraping, allowing them to track competitor pricing in real-time and adjust their own offers dynamically.

Using Web Data Intelligence API , Product Data Scrape monitored regional variations in sales, identifying which cities and states had the highest engagement. North and West India led in ethnic wear purchases, while urban South Indian cities favored modern fusion attire. Scrape Diwali product data from eCommerce sites provided insights into SKU popularity, allowing brands to highlight trending products on app homepages and category pages.

The use of Custom eCommerce Dataset Scraping enabled granular analysis of sizes, colors, and fabric preferences. Retailers could dynamically adjust inventory allocation based on SKU demand. By integrating SKU-level price intelligence, brands could maintain competitiveness while optimizing profit margins.

Overall, fashion and apparel insights derived from scrape Diwali festive shopping data API allowed retailers to forecast demand, plan inventory, and implement targeted promotions efficiently, maximizing festive revenue and customer satisfaction.

Discounts & Promotional Analytics

Promotions during Diwali and Dhanteras play a crucial role in driving sales. Product Data Scrape applied Pricing Intelligence Services and scraping Diwali festival discounts and trends to monitor and analyze the effectiveness of discounts across categories such as electronics, home décor, jewelry, and fashion.

The table illustrates a clear increase in both discount percentage and promotional frequency, demonstrating how retailers compete aggressively during peak festive shopping. SKU-level price intelligence ensures that these discounts are applied optimally without eroding margins.

Retailers utilizing Diwali product dataset for market research can identify which promotions generate the highest conversions and which SKUs are most responsive to discounts. Scrape Diwali product data from eCommerce sites enables monitoring of competitor strategies, ensuring brands remain competitive while maximizing profitability.

Furthermore, festival product scraping API allows automated tracking of flash sales, coupon codes, and limited-time offers across multiple eCommerce platforms. Insights from these datasets help plan promotions in advance, optimize discount timing, and forecast revenue impact.

In conclusion, analyzing discounts and promotions through SKU-level price intelligence allows retailers to make data-driven decisions, optimize campaign effectiveness, and improve overall festive season performance.

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Regional & Platform-Level Insights

Different eCommerce platforms and regions exhibit varying consumer behaviors during Diwali and Dhanteras. Using Scrape Diwali product data from eCommerce sites, Product Data Scrape analyzed platform-level trends on Amazon, Flipkart, and Myntra, while segmenting sales by major metro and Tier-2 cities.

Analysis shows Amazon leads in both units sold and average order value, while Myntra demonstrates the highest discount-driven sales. Regional trends indicate North and West India dominate home décor and jewelry sales, whereas electronics sales are higher in Tier-1 cities. Scrape Diwali and Dhanteras festive product data enables precise mapping of demand across cities and platforms.

Using Extract Electronics Product Data, Extract Jewelry & Accessories Data, and Extract Fashion & Apparel Data, Product Data Scrape segmented SKUs by category, price range, and region. The insights help retailers allocate inventory, adjust pricing dynamically, and plan targeted campaigns. Web Data Intelligence API and Scrape Diwali festive shopping data API provide continuous data feeds for real-time decisions.

By combining SKU-level price intelligence with platform and regional analytics, businesses can identify high-demand SKUs, monitor competitor promotions, and respond quickly to changing market conditions. This ensures that inventory is efficiently managed, campaigns are optimized, and revenue opportunities are maximized across the festive season.

Using Scrape Diwali product data from eCommerce sites ensures real-time, accurate, and structured insights that traditional data collection cannot match. Product Data Scrape offers festival product scraping API, Scrape Diwali festive shopping data API, and Custom eCommerce Dataset Scraping services to extract pricing, discounts, and product availability from leading online platforms. Businesses gain visibility across categories including home décor, electronics, jewelry, and fashion, enabling dynamic pricing, inventory forecasting, and promotional optimization.

The integration of SKU-level price intelligence with advanced analytics tools ensures accurate monitoring of sales trends and competitor strategies. Web Data Intelligence API and Pricing Intelligence Services further empower marketers to make informed decisions, reduce revenue leakage, and maximize ROI. With actionable insights from historical and current Diwali product dataset for market research, brands can plan campaigns, allocate resources effectively, and enhance customer engagement throughout the festive season.

Diwali and Dhanteras present enormous opportunities for online retailers, but success depends on real-time insights and actionable intelligence. By leveraging Scrape Diwali product data from eCommerce sites and combining it with SKU-level price intelligence, businesses can track trends, optimize prices, and monitor competitor promotions across platforms like Amazon, Flipkart, and Myntra.

From home décor and electronics to fashion and jewelry, detailed scraping Diwali festival discounts and trends enables brands to plan targeted promotions, forecast demand, and allocate inventory efficiently. Product Data Scrape’s Web Data Intelligence API, festival product scraping API, and Custom eCommerce Dataset Scraping services provide structured, reliable, and continuous data streams.

Turn real-time insights into strategic advantage this festive season. Optimize pricing, increase conversions, and enhance customer satisfaction with Product Data Scrape.