Scrape Swiggy Instamart & Zepto Daily Report 2026 - Tracking JB & UB Category Prices, Products, and Inventory

Introduction

India's quick-commerce market has moved from a convenience-led experiment into an important retail channel for groceries, household essentials, personal care, beverages, snacks, and increasingly non-grocery categories. The evolution has also changed the way brands monitor digital shelves. Instead of relying on weekly or monthly snapshots, businesses increasingly need frequent observations of product availability, prices, discounts, assortment, and SKU-level changes. At the same time, Global quick commerce data provides broader visibility into how rapid-delivery retail models are evolving across markets, helping businesses contextualize local pricing, assortment, fulfillment, and consumer-demand trends.

This research report examines Scrape Swiggy Instamart & Zepto Daily Report 2026 as a structured approach to monitoring two beverage-focused category groups across major quick-commerce platforms: JB, meaning Juices & Beverages, and UB, meaning Uncategorized Beverages.

Here, Juices & Beverages (JB) refers to products that are clearly classified within beverage-related categories, including juices, fruit beverages, soft drinks, energy drinks, sports drinks, flavored beverages, and other packaged beverage products where applicable. Uncategorized Beverages (UB) refers to beverage products that are identifiable as beverages but are not assigned to a specific beverage subcategory in the source platform taxonomy.

This distinction is important because quick-commerce platforms can organize similar products differently. A beverage may appear under a clearly defined category on one platform while being placed under an uncategorized or broader classification on another. Separating JB and UB therefore helps businesses analyze both standardized beverage categories and products whose classification requires additional normalization.

Swiggy Instamart has expanded considerably since its launch in August 2020. Swiggy reported more than 125 cities and millions of orders across 128+ cities in its 2025 annual analysis. By Q3 FY26, the company reported 1,136 active dark stores across 131 cities.

The scale of these networks creates a large volume of product-level observations. A structured dataset can therefore support pricing comparisons, availability tracking, assortment analysis, competitor monitoring, and category-level benchmarking specifically across Juices & Beverages and Uncategorized Beverages.

How Has Quick Commerce Expanded and Why Do Beverage Categories Matter?

The development of quick commerce between 2020 and 2026 demonstrates why category-level intelligence has become increasingly relevant. In 2020, the model was largely associated with urgent grocery and daily-need purchases. As platforms expanded their fulfillment networks, assortment broadened into beverages, packaged foods, personal care, beauty, electronics, home products, and other everyday categories.

For beverage manufacturers and retailers, this expansion creates a need to distinguish clearly classified beverage products from products that remain outside a standardized subcategory.

The JB category, or Juices & Beverages, can include recognizable beverage groups such as:

• Fruit juices
• Fruit drinks
• Soft drinks
• Energy drinks
• Sports beverages
• Flavored beverages
• Packaged drinking beverages
• Other clearly classified beverage products

The UB category, or Uncategorized Beverages, can capture products that are identifiable as beverages but do not have a specific beverage subcategory assigned in the source data. This classification can be useful when different platforms use different category structures or when product taxonomy is incomplete.

By 2025, Swiggy Instamart stated that its service had expanded to 100 cities and offered more than 30,000 products. Its larger "megapod" dark stores were designed to accommodate up to 50,000 SKUs, illustrating how fulfillment infrastructure can directly influence assortment breadth and the growing importance of JB UB Quick Commerce Category Intelligence 2026 for tracking beverage assortment at scale.

By July 2026, an independent public-location mapping project counted 5,625 dark stores across five major Indian quick-commerce platforms, including mapped Zepto and Swiggy Instamart stores. The source describes these figures as a verified public snapshot rather than internal platform data.

This expansion makes beverage-category monitoring relevant for brands that need to understand product presence across different fulfillment zones. A daily dataset can reveal whether a JB product remains listed, whether a UB product moves into a more specific classification, whether a beverage disappears temporarily, changes price, receives a discount, or is replaced by another SKU.

Market Snapshot

Sources: Swiggy corporate disclosures and QuickCommerceMap.

How Can Daily Monitoring Identify Beverage Availability Gaps?

Inventory visibility is one of the most dynamic elements of quick commerce. A product can be available in one location and unavailable in another, while its status may change several times during the day. This makes periodic monitoring less suitable for businesses that need granular visibility into fulfillment-level availability.

Swiggy Instamart analytics can help businesses track these changes more consistently, enabling deeper analysis of beverage availability, stock movements, and location-level inventory patterns.

For JB products, monitoring can reveal whether specific juices, soft drinks, energy beverages, or other beverage products remain consistently available. For UB products, monitoring can additionally identify whether products remain uncategorized or whether their classification changes over time.

Between 2020 and 2022, quick-commerce operations concentrated heavily on metro markets and high-frequency grocery missions. During 2023 and 2024, assortment and geographic coverage expanded, creating more opportunities for brands to compare availability across locations. In 2025, Swiggy reported expansion to 100 cities, while its 2025 order analysis covered 128+ cities.

By 2026, the operational footprint had expanded further. Swiggy reported 1,136 active dark stores at the end of Q3 FY26, while its average active dark-store size had increased to more than 4,200 square feet.

For businesses, Track JB UB Category Data on Swiggy Instamart can mean capturing SKU status, displayed price, discount, pack size, seller or fulfillment information where available, and location-level availability.

The distinction between JB and UB also adds a taxonomy layer to availability monitoring. A business can determine whether a product is unavailable because it is genuinely out of stock or whether it is simply difficult to locate because of inconsistent category classification.

Availability Metrics

Daily collection creates a time series rather than a single snapshot, allowing businesses to distinguish persistent availability problems from short-lived stockouts.

How Can Businesses Compare Beverage Products at SKU Level Across Platforms?

Quick-commerce competition increasingly occurs at the individual SKU level. Two platforms may carry the same brand but differ in pack size, assortment depth, promotional pricing, classification, or availability. Consequently, comparing only category-level prices can hide meaningful differences.

For beverage analysis, SKU normalization is especially important. A 250 ml juice should not automatically be compared with a 1-litre juice simply because both belong to the same JB category. Likewise, a UB product should be matched according to its actual product identity, pack size, brand, and other relevant attributes before price comparisons are performed.

From 2020 to 2022, competitive monitoring primarily focused on basic grocery products and broad category comparisons. By 2023 and 2024, platforms had expanded into more categories, increasing the importance of SKU normalization. In 2025, Swiggy reported a broad assortment covering groceries, electronics, fashion, makeup, toys, and other categories.

In 2026, the competitive environment has become even more data-intensive. Zepto's FY26 regulatory filing reported 1,139 dark stores at fiscal year-end and an increase in throughput to 1,677 orders per dark store per day during FY26.

SKU-Level Competitive Analysis Across Instamart and Zepto can therefore compare identical or closely matching beverage products using attributes such as brand, product name, beverage type, pack size, MRP, selling price, discount, availability, category, and location.

SKU Comparison Framework

A normalized SKU database can reduce duplicate records and make daily platform comparisons easier. It can also support historical price tracking and identification of assortment gaps between competing platforms.

For JB products, the dataset can retain the specific beverage category. For UB products, the dataset can preserve the original platform classification while applying a standardized internal label of "Uncategorized Beverages." This prevents uncategorized products from being incorrectly excluded from beverage intelligence.

How Should Businesses Standardize Beverage Data for Market Comparison?

A reliable benchmark requires consistent collection rules. Comparing products on different dates, locations, pack sizes, or category definitions can produce misleading results. For this reason, businesses need standardized product identifiers, category mappings, timestamps, and geographic fields.

Between 2020 and 2022, quick-commerce benchmarking was often limited by smaller geographic footprints and narrower assortments. As platforms expanded during 2023 and 2024, businesses increasingly needed structured datasets to compare pricing and availability at greater scale.

By 2025, Swiggy's expansion to 100 cities and its reported 30,000+ product assortment illustrated the increasing breadth of observations available for analysis.

The 2026 environment adds another layer: dark-store density. A July 2026 public mapping dataset identified thousands of dark stores across multiple platforms and cities, demonstrating the geographic scale that market researchers may need to account for.

A JB UB Category Intelligence Benchmark can standardize metrics such as average selling price, median price, discount percentage, SKU availability, assortment count, platform overlap, and beverage-category distribution.

Benchmark Metrics

The addition of JB and UB classification makes the benchmark more useful because businesses can determine whether changes are caused by actual assortment movement or by differences in platform categorization.

For example, if one platform places a beverage in a clearly defined juice category while another leaves it under Uncategorized Beverages, the underlying product should still be matched using product identity, brand, pack size, and other attributes.

A benchmark built from repeated observations becomes more useful over time because businesses can compare current conditions with historical patterns rather than relying on isolated screenshots or manual checks.

How Can Zepto Data Reveal Beverage Assortment and Pricing Patterns?

Zepto has developed a substantial dark-store network, making its assortment and pricing data relevant for brands monitoring quick-commerce competition. Its FY26 regulatory filing reported 1,139 dark stores at the end of the fiscal year, compared with 1,029 at the end of FY25. The filing also reported higher orders per dark store during FY26.

The platform's development between 2021 and 2023 coincided with rapid adoption of the 10-minute delivery model. During 2024 and 2025, quick-commerce platforms increasingly broadened their assortments beyond conventional grocery missions. By 2026, businesses monitoring the channel may need to examine both core grocery and emerging categories, including beverage segments.

JB UB Category Intelligence on Zepto can capture product-level observations such as title, brand, beverage type, pack size, listed price, promotional price, availability, category, and location where these attributes are publicly visible.

The JB/UB framework allows analysts to separate two types of observations:

• JB – Juices & Beverages: Products that have a clearly identifiable beverage classification.
• UB – Uncategorized Beverages: Products that are recognizable as beverages but are not assigned to a specific beverage subcategory.

Zepto Monitoring Indicators

A Zepto grocery dataset can also provide a structured historical layer for analyzing recurring products, category changes, price movements, and location-specific availability. With daily timestamps, businesses can separate temporary promotional activity from sustained pricing or assortment changes.

The same framework can be used to determine whether a beverage remains within UB over time or is later assigned to a more specific category.

How Can Frequent Collection Become Actionable Retail Intelligence?

The final stage is transforming raw observations into an analytics-ready dataset. Quick-commerce pages can change frequently, and collecting information at scale requires appropriate scheduling, normalization, validation, deduplication, and storage processes.

From 2020 to 2022, data collection requirements were comparatively narrow because platforms and assortments were smaller. During 2023 and 2024, expansion created larger volumes of product-level records. In 2025, Swiggy reported 30,000+ products in its 100-city network, while its larger megapods could accommodate up to 50,000 SKUs.

By 2026, the scale of dark-store operations had increased further. Swiggy reported 1,136 active dark stores in Q3 FY26, while Zepto reported 1,139 dark stores at the end of FY26.

This makes Q-Commerce data scraping useful for building recurring datasets that capture product, pricing, inventory, category, and location signals.

For JB and UB monitoring, the data pipeline should preserve both the source classification and the standardized classification. This is important because an original source category may contain valuable information about how the platform organizes its digital shelf.

Data Pipeline

A recurring pipeline enables businesses to monitor market changes continuously rather than rebuilding datasets manually for every reporting cycle.

How Can Product Data Scrape Support Quick-Commerce Intelligence?

Product Data Scrape can support businesses that require structured, recurring e-commerce and quick-commerce datasets for research, competitive monitoring, pricing intelligence, and assortment analysis.

The value of a specialized data workflow lies in combining extraction with data quality processes. Product records can be normalized around common fields such as SKU, product title, brand, category, beverage type, pack size, price, discount, availability, location, and timestamp.

For JB and UB analysis, an additional taxonomy layer can be applied:

JB — Juices & Beverages: clearly categorized beverage products.

UB — Uncategorized Beverages: identifiable beverage products that are not assigned to a specific beverage subcategory in the source taxonomy.

This structure prevents beverage products from being lost simply because the source platform uses inconsistent or incomplete category labels.

A daily monitoring framework can also support historical comparisons. Instead of looking at a product's price only once, businesses can examine how it changes across days, locations, promotional periods, and competing platforms.

The workflow can be designed around specific business requirements, including:

• Daily or scheduled data collection
• Product and SKU-level monitoring
• JB and UB category classification
• Price and discount tracking
• Availability and stockout identification
• Beverage assortment analysis
• Platform-to-platform comparisons
• Location-level monitoring
• Data normalization and validation
• Historical datasets for trend analysis
• Analytics-ready structured delivery

For brands and retailers, the resulting datasets can support pricing teams, category managers, marketplace teams, business analysts, and market researchers. The same data can also feed dashboards or internal analytics environments for recurring decision support.

Conclusion

Quick commerce has evolved substantially since 2020, moving from a narrow grocery-delivery proposition toward a broader digital retail environment. The expansion of dark stores, product assortment, geographic coverage, and order volumes means that pricing and availability can change rapidly across locations. Scrape Swiggy Instamart & Zepto Daily Report 2026 provides a structured approach to tracking these daily changes across products, prices, inventory, and assortment.

For businesses monitoring beverage categories, it is important to distinguish between JB, meaning Juices & Beverages, and UB, meaning Uncategorized Beverages. JB captures products that are clearly assigned to beverage-related categories, while UB captures identifiable beverage products that remain outside a defined beverage subcategory in the source taxonomy.

This distinction makes the dataset more useful for cross-platform analysis. A beverage may be classified differently on Swiggy Instamart and Zepto even when the underlying product is identical. By retaining both the original category and a standardized JB/UB classification, businesses can perform more consistent product matching, price benchmarking, assortment analysis, and availability monitoring.

Swiggy Instamart's reported 1,136 active dark stores in Q3 FY26 and Zepto's 1,139 dark stores at FY26 year-end illustrate the scale of the fulfillment networks involved.

A structured Scrape 10-Minute Delivery Assortment workflow can help convert these fast-changing retail signals into historical datasets. Combined with standardized SKU matching, JB/UB classification, location-level monitoring, price benchmarking, and availability analysis, businesses can build a consistent foundation for quick-commerce intelligence.

The 2026 market requires more than occasional product checks. Recurring datasets can help organizations understand how beverage products move across platforms, how prices change, where availability gaps occur, support Stockout Monitoring, how promotions evolve, and how JB and UB assortments change over time.

Build a structured daily quick-commerce dataset with Product Data Scrape to monitor Juices & Beverages and Uncategorized Beverages, along with products, prices, availability, and assortment changes across leading delivery platforms!