Scrape August Grocery Offers from Zepto vs Instamart : Which One’s Cheaper?

Introduction

As August unfolds, Indian households are already preparing for the upcoming festive season, weekly restocks, and mid-month promotions. With quick commerce platforms booming, it’s important to scrape August grocery offers from Zepto vs Instamart to identify where real savings lie. Consumers and brands alike are eager to understand which app delivers better deals on essentials.

At Food Data Scrape, we provide intelligent Grocery App Data Scraping Services that allow businesses to monitor discounts, flash deals, and pricing trends across multiple apps. Our technology helps you extract structured data from grocery platforms in real-time, enabling data-driven decisions for brands, retailers, and analytics firms.

With August just beginning, historical patterns and early signs suggest a surge in discounts, especially in the quick commerce space. Through August grocery discount scraping from quick commerce apps, stakeholders can predict shopping behavior and adjust pricing, promotions, and inventory strategies accordingly.

This blog explores how to extract August month discounts on Zepto & Instamart using advanced web scraping. From limited-time offers to bundle packs and seasonal deals, scraping price data provides a competitive edge to businesses looking to optimize campaigns, identify trends early, and improve ROI.

Why Scrape August Grocery Offers from Quick Commerce Apps?

Quick commerce apps like Zepto and Instamart are changing how India shops—delivering essential groceries within 10–15 minutes. But as more users compare platforms for prices before making a purchase, the need for August grocery discount data scraping has become crucial.

Whether you're a:

• Consumer seeking best-value buys,
• Brand monitoring competitors,
• Retailer benchmarking product pricing,
• Or a data analyst tracking trends,

you can’t rely on manual checks anymore. This is where web scraping quick commerce data becomes a strategic advantage.

Food Data Scrape: Your Partner in Grocery Price Intelligence

Food Data Scrape is India’s go-to solution for grocery app data scraping services. Using automated crawlers and APIs, they extract data from platforms like Zepto, Swiggy Instamart, Blinkit, and BigBasket with precision and consistency.

Their Zepto Grocery Delivery Scraping API and Swiggy Instamart Grocery Delivery Scraping API provide:

• Product titles and brand names
• Weights, MRP, and discounted prices
• Active promotions or combo deals
• Delivery availability per location
• Real-time or scheduled data collection

Sample Output (JSON, predicted for August 5, 2025):

From Zepto:

{
  "product_name": "Aashirvaad Select Atta 5kg",
  "original_price": 345,
  "discounted_price": 309,
  "discount_percent": "10%",
  "delivery_eta": "12 mins",
  "platform": "Zepto"
}

From Instamart:

{
  "product_name": "Aashirvaad Select Atta 5kg",
  "original_price": 345,
  "discounted_price": 315,
  "discount_percent": "9%",
  "delivery_eta": "14 mins",
  "platform": "Instamart"
}

In this case, Zepto offers a better price and faster delivery.

Scrape August Food Deals from Zepto and Swiggy Instamart: What Categories Are Hot?

Food Data Scrape extracted early August data across key grocery categories to assess which platform is offering better deals.

Categories Monitored:

• Staples (Atta, rice, dals)
• Snacks (Chips, biscuits, chocolates)
• Dairy (Milk, curd, butter, cheese)
• Beverages (Tea, coffee, cold drinks)
• Home Care (Detergents, cleaners)
• Breakfast Items (Bread, cereals, spreads)
• Packaged Foods

Staples Showdown: Zepto vs Instamart

Instamart tends to push heavier discounts on pulses, while Zepto offers bundled savings on flour and rice.

August Grocery Discount Data Scraping from Instamart reveals that pulse pricing may drop further around Independence Day.

Dairy Products: A Close Battle

Dairy is competitive. Here, Extract Grocery Discount Data Scraping from Zepto shows consistent markdowns on butter and ghee, while Instamart focuses on curd and cheese.

Snacks & Packaged Foods: Zepto Takes the Lead

Predicted Top Discounts from August 4–6:

If you’re looking to Scrape August Grocery Offers Data from Zepto & Instamart in the snack category, Zepto is the clear winner based on initial trends.

Extract August Month Discounts on Zepto & Instamart

As the festive period heats up, platforms are expected to update prices dynamically every 48–72 hours. That’s why continuous data scraping is essential—not just one-time snapshots.

Use Cases Powered by Food Data Scrape:

• Retail chains adjusting in-store pricing to compete
• FMCG brands tracking product positioning
• Marketplaces building offer comparison engines
• Media/PR firms writing offer-based content dynamically

Whether you're scraping food deals or want to scrape the cheapest grocery deals in August, Food Data Scrape delivers structured and searchable data ready for action.

Sample Bulk Output: CSV Format (August 4 Predictions)

This kind of granular data allows businesses to run their own August price drop trackers and grocery market intelligence dashboards.

Scrape Cheapest Grocery Deals in August: Combo Packs, Loyalty Discounts & Flash Offers

When it comes to scoring the lowest prices in August, standalone product discounts are just the beginning. A key tactic both Zepto and Instamart deploy is combo pack bundling—where two or more items are offered at a lower combined price.

Thanks to Grocery App Data Scraping Services provided by Food Data Scrape, here are a few predicted combo deals expected to drop between August 6–10, 2025:

These predictions are based on early-week scraping runs and indicate a clear push toward bundling essentials to drive basket sizes higher.

Notably, Swiggy Instamart often layers these bundles with Instamart Super Rewards, offering additional 5–10% cashback, which can be tracked via Swiggy Instamart Grocery Delivery Scraping API.

Weekly Trends: How Discounts Change Every 3 Days in August

Another powerful insight from August Grocery Discount Scraping from Quick Commerce Apps is that discounts follow a rhythm:

• Days 1–3 of August – Small markdowns (2–5%), test runs
• Days 4–10 – Pre-Independence Day price drops (8–12%), stock clearances
• Days 11–15 – Peak discounts around August 15 (up to 15–18%)
• Days 16–20 – Raksha Bandhan flash offers (bundle & gift packs)
• Days 21 onwards – Reset to baseline or platform-specific rewards

Extract August Month Discounts on Zepto & Instamart over these timelines to maximize insights. Food Data Scrape enables automated scheduling of scrapers to check for price changes every 6 or 12 hours.

Use case: Retailers running programmatic ads can sync their pricing dynamically with platforms by leveraging real-time feeds from Food Data Scrape’s scraper engine.

Extract Grocery Discount Data Scraping from Zepto: Accuracy Meets Speed

One of the most challenging parts of scraping Zepto is the app’s high-speed UI and geo-locked pricing. Food Data Scrape handles this through:

• City-wise instance emulation (scraping offers from Mumbai, Bangalore, Pune separately)
• Price variance tracking over a product’s lifecycle in a month
• Category classification (Snacks > Chips > Multigrain Chips)

Sample extract from Mumbai region (Predicted August 7):

[
  {
    "product": "Too Yumm Multigrain Chips 85g",
    "original_price": 40,
    "discounted_price": 32,
    "category": "Snacks > Chips",
    "platform": "Zepto"
  },
  {
    "product": "MDH Kitchen King Masala 100g",
    "original_price": 75,
    "discounted_price": 67,
    "category": "Spices",
    "platform": "Zepto"
  }
]

Extract Grocery Discount Data Scraping from Instamart: What’s Unique?

Swiggy Instamart has been known to run location-based promotions, often offering the same product at different rates in different cities. Their strength lies in:

• High-frequency flash discounts
• Personalized bundles and cashback
• Tiered delivery charges based on cart value

Example: In Delhi on August 4, users saw this:

{
  "product": "Tata Salt 1kg",
  "price": "₹24",
  "offer": "10% OFF for Swiggy One users",
  "delivery": "Free above ₹99",
  "platform": "Instamart"
}

With web scraping quick commerce data, users or analysts can decode where platform-specific loyalty programs intersect with product pricing.

Final Verdict: Zepto or Instamart—Which Is Cheaper in August?

Overall Winner (Week 1–2 Insights): Zepto

Based on scraping data from Aug 1–4 and forecasted pricing for Aug 5–10, Zepto edges out Instamart in overall affordability, especially in snacks, staples, and home care products.

That said, Instamart’s Swiggy One benefits and curated bundles may appeal to users focused on premium loyalty perks and city-specific deliveries.

Scrape August Grocery Offers from Quick Commerce Apps with Food Data Scrape

If you're in the business of tracking prices, forecasting festive trends, or building data dashboards for retail, look no further than Food Data Scrape.

Their services empower:

• Price intelligence tools for e-commerce
• Market research teams for FMCG brands
• Retailers syncing store pricing with digital
• Shopping comparison sites & browser extensions

Services Include:

• Scrape August Food Deals from Zepto and Swiggy Instamart
• Extract August Grocery Discount Data Scraping from Instamart
• Extract Grocery Discount Data Scraping from Zepto
• Custom scripts and scraping dashboards
• Scalable APIs for thousands of SKUs daily

Conclusion

Whether you're an FMCG marketer, tech founder, analyst, or even a content creator, staying ahead of India’s grocery price trends in August requires automation and accuracy.

Are you in need of high-class scraping services? Food Data Scrape should be your first point of call. We are undoubtedly the best in Food Data Aggregator and Mobile Grocery App Scraping service and we render impeccable data insights and analytics for strategic decision-making. With a legacy of excellence as our backbone, we help companies become data-driven, fueling their development. Please take advantage of our tailored solutions that will add value to your business. Contact us today to unlock the value of your data.