Diwali Quick-Commerce Watch: Pooja Essentials, Gifting and Dry-Fruit Prices with Diwali Q-Commerce Data Scraping

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

Categories to track

What Diwali q-commerce data scraping collects

Sample record

The record below is illustrative.

{
  "platform": "zepto",
  "city": "Mumbai",
  "pincode": "400076",
  "category": "Dry fruits",
  "product_name": "Sample Premium Mixed Dry Fruits Gift Box 500 g",
  "brand": "Sample Foods",
  "mrp_inr": 1199,
  "price_inr": 799,
  "discount_pct": 33.4,
  "in_stock": true,
  "festive_collection": "Diwali Gifting",
  "search_keyword": "dry fruits gift box",
  "search_position": 3,
  "collected_at": "2026-10-28T19:00:00+05:30"
}
            

The festive timeline: when to collect

Example: dry-fruit price comparison

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

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

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.