Diwali Q-commerce Data Scraping: Pooja, Gifting & Dry Fruit Prices

By Author: Actowiz Metrics
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Diwali has become one of the biggest weeks of the year for India's quick-commerce apps. Shoppers who once visited the local market for diyas, rangoli colours, puja samagri, dry fruits and gift boxes now order them in ten minutes. For brands, that means the festive season is decided on three apps, in a few hundred pincodes, over a very short period. A stock-out on the day before Lakshmi Puja or a competitor's sharper hamper price can cost a season's sales.
In 2026 Actowiz Metrics received a request for "pooja essentials order data for Zepto, Blinkit and Instamart," along with many requests for festive price and availability tracking. This guide explains how Diwali Q-Commerce Data Scraping helps brands plan and react during the festive window, and which metrics matter most.
Why Diwali is different on quick commerce
Demand: Sharp spikes in demand for pooja items, sweets, dry fruits, gifting products, and decor during Diwali.
Assortment: Platforms add festive storefronts, gift hampers, and limited-edition packs.
Pricing: Deep discounts on dry fruits and gift boxes, along with dynamic pricing for high-demand ...
... items.
Availability: Dark stores may run out of stock quickly on peak shopping days.
Visibility: Festive banners and collections influence which products shoppers see first.
Timing: Demand peaks on Dhanteras, Choti Diwali, and Lakshmi Puja day.
Categories to track
Pooja essentials: Diyas, agarbatti, camphor, ghee, puja thali, kalash, roli, haldi, kumkum, and cotton wicks.
Decor: Rangoli colours, lights, torans, candles, flowers, and garlands.
Dry fruits: Almonds, cashews, raisins, pistachios, walnuts, and mixed dry-fruit boxes.
Sweets and snacks: Packaged mithai, soan papdi, namkeen packs, and chocolate gift packs.
Gifting: Hampers, gift boxes, and premium tea and coffee gift sets.
Silver and coins: Silver coins and idols, where quick-commerce platforms list them.
What Diwali q-commerce data scraping collects
Price and MRP: Track discount depth by platform and city.
Stock status: Monitor stock-outs by dark store and day.
Festive collection placement: Check whether your product appears in the platform’s Diwali storefront.
Search rank for festive keywords: Track rankings for keywords such as “diya,” “dry fruits gift box,” and “pooja samagri.”
New listings: Identify competitor hampers and limited-edition products launched for Diwali.
Pack sizes: Monitor popular festive pack sizes, such as 500 g dry-fruit boxes.
The festive timeline: when to collect
4 to 3 weeks before Diwali: Monitor new festive listings, early discounts, and storefront setup daily.
2 weeks before Diwali: Track price changes for dry fruits and gift hampers, along with competitor launches, twice daily.
Dhanteras to Lakshmi Puja: Monitor stock-outs, dynamic prices, and search rankings for festive keywords every 2 to 4 hours.
Week after Diwali: Track clearance discounts and leftover stock daily.
Example: dry-fruit price comparison
Brand A (500 g almonds): Blinkit price is ₹549, Zepto price is ₹529, and Instamart price is ₹559. The lowest-price city is Delhi.
Brand B (500 g almonds): Blinkit price is ₹499, Zepto price is ₹489, and Instamart price is ₹479. The lowest-price city is Bengaluru.
Brand C (private label, 500 g almonds): Blinkit price is ₹439, Zepto price is unavailable, and Instamart price is ₹449. The lowest-price city is Mumbai.
Our brand (500 g almonds): Blinkit price is ₹569, Zepto price is ₹549, and Instamart price is ₹559. The lowest-price city is Pune.
All figures are illustrative.
In this example, our brand is priced above competitors on every platform. In a festive week, that gap can matter more than usual, because shoppers compare quickly when buying in bulk for gifting.
Example: pooja essentials stock-outs
Illustrative Pooja Essentials Stock-Out Analysis
Clay diyas, pack of 12: Tracked across 60 pincodes, with an out-of-stock share of 18% on Choti Diwali evening and 41% on Lakshmi Puja morning.
Pure cow ghee, 500 ml: Tracked across 60 pincodes, with an out-of-stock share of 9% on Choti Diwali evening and 22% on Lakshmi Puja morning.
Camphor tablets: Tracked across 60 pincodes, with an out-of-stock share of 6% on Choti Diwali evening and 15% on Lakshmi Puja morning.
Rangoli colours set: Tracked across 60 pincodes, with an out-of-stock share of 22% on Choti Diwali evening and 37% on Lakshmi Puja morning.
All figures are illustrative.
Stock-outs climb sharply on the final days. Brands that see these patterns in data can push replenishment to the dark stores that run out first, or work with platforms on allocation.
How brands use festive data
Plan inventory by dark store. Use last year's stock-out patterns and this year's early demand signals to allocate stock.
Price with confidence. Track competitor discounts daily and respond only where it matters.
Win the festive storefront. Check whether your products appear in the platform's Diwali collections and in search for festive keywords.
Spot competitor launches. New hampers and limited packs often appear two to three weeks before Diwali.
Review after the season. Compare your availability, price position and rank with competitors across the full festive window, and plan for next year.
A festive watchlist template
Cities: Monitor Mumbai, Delhi NCR, Bengaluru, Hyderabad, Pune, Chennai, Kolkata, and Ahmedabad.
Pincodes per city: Track 20 to 40 pincodes per city, covering different dark stores.
Own SKUs: Include all festive packs and the core product range.
Competitor SKUs: Track the top five competitors in each category.
Festive keywords: Monitor “diya,” “pooja samagri,” “dry fruits gift box,” “kaju katli,” “rangoli,” and “Diwali hamper.”
Alerts: Set alerts when an own SKU is out of stock in more than 15% of a city's pincodes or a competitor offers a discount above 10%.
Reports: Generate daily summaries during the peak week and a post-season performance review.
Setting this up three to four weeks before Diwali gives brands time to fix listing errors, confirm festive storefront placement and plan replenishment before demand peaks.
Post-season review: what to measure
After Diwali, a structured review turns the season's data into next year's plan:
Availability scorecard: in-stock rate by city, platform and day, compared with competitors.
Price position: how your prices and discounts compared during each phase of the season.
Search visibility: share of search for festive keywords on peak days.
New competitor products: which launches gained traction, based on rank and review growth.
Lessons: the three changes that would have the biggest impact next year.
Beyond Diwali
The same approach applies to other festivals: Raksha Bandhan (rakhi and gifting), Navratri and Durga Puja (pooja items and fasting foods), Karwa Chauth, Christmas, Holi (colours and sweets) and Eid (dry fruits and sevaiyan). A festive calendar with pre-set tracking lists makes each season easier than the last.
A note on order data
Brands sometimes ask for "order data" for festive categories. Quick-commerce platforms do not publish order volumes. Actowiz Metrics provides public signals such as availability, search rank, bestseller labels and price changes, which act as demand indicators and are clearly labelled as such. Brands combine these with their own sales data for a full picture.
Frequently asked questions
When should Diwali q-commerce data scraping start?
Ideally four weeks before Diwali, so new listings and early price moves are captured.
Which cities can be covered?
All major quick-commerce cities, including metros and fast-growing tier-2 cities.
Can we track our products in the festive storefronts?
Yes. Festive collection pages are tracked to show which products appear and in what position.
Can the tracking continue after Diwali?
Yes. Many brands keep daily tracking for core categories and step it up again for the next festival.
Key takeaways
Diwali demand on quick commerce is concentrated in a few days and a few hundred pincodes.
Diwali q-commerce data scraping tracks prices, stock, festive placement and search rank for pooja, dry-fruit, sweets and gifting categories.
Stock-outs rise sharply on the final days; dark-store-level data helps replenishment.
Order volumes are not public; availability and rank are useful demand indicators.
Get festive-season visibility with Actowiz Metrics
Actowiz Metrics delivers Diwali q-commerce data scraping and year-round festive tracking across Blinkit, Zepto and Instamart. Book a 15-minute demo to set up your festive watchlist before the peak.
Source : https://www.actowizmetrics.com/diwali-q-commerce-data-scraping.php
Original: https://www.actowizmetrics.com

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