Swiggy Instamart Dataset
Live and Historical Data Across One of India’s Largest Quick-Commerce Grocery Platforms
Swiggy Instamart has a structural advantage most quick-commerce challengers don’t: it sits inside an app that already has tens of millions of people ordering food from it every week, and Swiggy One membership now spans food delivery, Instamart, and Dineout as a single loyalty layer. That cross-sell effect shows up directly in pricing and promotions — Instamart discounts are frequently bundled with Swiggy One benefits rather than standing alone, and dark-store assortment can shift faster than competitors because Swiggy is scaling an already-built delivery network rather than a new one.
Tracking that properly means capturing Instamart’s own pricing and stock data separately from the noise of Swiggy’s food-delivery side, at the dark-store level where availability actually differs. That’s what our dedicated Swiggy Instamart Data Scraping pipeline is built for — a Swiggy Instamart Retail Product Dataset that ties pricing, listings, reviews, and dark-store availability together on a schedule you control. It runs on the same infrastructure behind our Quick Commerce Data Scraping services and sits inside our broader Quick Commerce Dataset catalog, with custom builds available through our Web Scraping Services team.
Request Free Sample DatasetQuick Stats
Price From
$179Starting Price
Records
2.9M+Total Records
Format
CSV / JSONDelivery Format
Delivery
ImmediateAvailability
15+
Categories Covered
2+ Yrs
Historical Depth
Pan-India
City Coverage
Daily
Refresh Cycle
Why Teams Choose Our Swiggy Instamart Dataset Over a DIY Crawl
Instamart lives inside the wider Swiggy app rather than as a standalone site, and its pricing is often layered with Swiggy One member benefits and cross-app promotions. A scraper built for a simple standalone grocery app tends to miss that layering entirely.
One Schema, Instamart-Specific
Product name, SKU, brand, price, rating, and dark-store stock status arrive in a single Swiggy Instamart product dataset, isolated cleanly from Swiggy’s food-delivery data.
Category-Level Precision
Our Swiggy Instamart product listings dataset tracks category placement, banner positioning, and search-rank order at the same granularity Instamart’s merchandising team works with.
Scoped to What You Actually Need
Pull specific categories, cities, or the full catalog. Refresh daily, weekly, or near-live. Delivered as CSV, JSON, Excel, or a direct API feed.
Formats Your Tools Already Read
CSV and Excel exports work straight in Power BI or Tableau. JSON and API feeds ship with a documented schema for Snowflake, BigQuery, or Redshift.
Live Pricing, Plus Real History
See today’s price alongside 2+ years of historical price and rank movement, useful in a category where prices and offers shift by the day.
Dark-Store-Aware Coverage
Coverage tracks stock at the dark-store level rather than a single national “in stock” flag, since Instamart’s assortment genuinely varies by micro-market.
What’s Actually Inside the Swiggy Instamart Dataset
The Swiggy Instamart dataset answers four practical questions: what’s listed, what it costs right now, what customers think of it, and whether it’s actually deliverable from the nearest dark store. Those four questions map to the four sub-datasets below, all keyed together so nothing needs manual reconciling.
Most clients start with pricing, usually chasing a specific question — is a Swiggy One member price beating the equivalent Zepto or BB Now price this week, or is a particular SKU’s price moving faster than expected during a festive promotion? Brand teams lean on the review layer to catch freshness or delivery-accuracy complaints early, since grocery categories are especially sensitive to that kind of feedback. Data teams mostly just want clean, timestamped records instead of raw app data, which is really the core value of buying a dataset instead of building a scraper from scratch. This dataset shares its collection standards with our broader Quick Commerce Dataset catalog.
What people actually build with this dataset:
- Pricing-policy checks: Compare live Instamart pricing against MRP or your policy floor across categories.
- Cross-platform quick-commerce benchmarking: Watch how Instamart pricing and assortment compare against Zepto, BB Now, and Blinkit for the same SKUs.
- Swiggy One promo-cycle analysis: Build a historical record of member-pricing and bundled promotions to understand their cadence.
- Repricing automation: Feed same-day price signals from the Swiggy Instamart price dataset into your own repricing engine.
- Quality and freshness research: Mine the Swiggy Instamart Customer Reviews Dataset for recurring complaints about freshness, packaging, or delivery accuracy.
Key Metrics
Price
$179.00Format
CSV / JSON / APIRecords
2.9M+ Verified RecordsCoverage
Pan-IndiaUpdate Frequency
DailyAvailability
Instant AccessDelivery Time
ImmediatelyPreview actual dataset structure before purchase.
A Sample of the Swiggy Instamart Dataset
Below is a small, illustrative slice of a single extract. Each row is one SKU captured at a point in time — the full dataset carries 50+ additional fields, including dark-store ID, Swiggy One pricing flags, and full price-history timestamps.
| Product ID | Product Image | Product Name | Brand Name | Weight / Size | Price | Original Price | Discount | Nutrition / Features | Description | Product URL |
|---|---|---|---|---|---|---|---|---|---|---|
| 4VK97U6IQE | https://instamart-media-assets.swiggy.com/swiggy/image/upload/fl_lossy,f_auto,q_auto,h_544,w_504/NI_CATALOG/IMAGES/ciw/2026/7/24/554e19b9-90c6-4486-b4da-2784b2927267_1_MN_5c1843d2-27fe-45ed-b09e-9efc58c21195.jpg | SwitchBagrry's Fruit & Nut Muesli | Bagrry's | 70 g | ₹69 | ₹89 | 22% | Protein, Fruit & Nut | SwitchBagrry's Fruit & Nut Muesli with 12g Protein- On-the-Go, With Milk Inside | https://instamart.in/p/bagrry-s-fruit-nut-muesli-with-12g-protein-on-the-go-with-milk-inside-4VK97U6IQE |
| QD7T0XR5X9 | https://instamart-media-assets.swiggy.com/swiggy/image/upload/fl_lossy,f_auto,q_auto,h_544,w_504/NI_CATALOG/IMAGES/ciw/2026/7/24/da9e0e0d-c6f9-4e18-b09f-e834e5917848_5_33d2476b-21b8-46a0-9de6-a418bb2be138.png | SwitchBagrry's High Protein Muesli | Bagrry's | 70 g | ₹79 | ₹99 | 20% | High Protein, Protein | SwitchBagrry's High Protein Muesli with 20g Protein- On-the-Go, With Milk Inside | https://instamart.in/p/bagrry-s-high-protein-muesli-with-20g-protein-on-the-go-with-milk-inside-QD7T0XR5X9 |
| VPDQ085IB3 | https://instamart-media-assets.swiggy.com/swiggy/image/upload/fl_lossy,f_auto,q_auto,h_544,w_504/NI_CATALOG/IMAGES/CIW/2026/2/14/43a1f63e-d746-448e-986e-9c9d5bbdac18_NPI-099362_1.png | SwitchPintola High Protein Muesli Dark Chocolate & Cranberry | Pintola | 750 g | ₹395 | ₹549 | 28% | High Protein, Protein, No Refined Sugar, Dark Chocolate, Chocolate, Cranberry | SwitchPintola High Protein Muesli Dark Chocolate & Cranberry, No Refined Sugar | https://instamart.in/p/pintola-high-protein-muesli-dark-chocolate-cranberry-no-refined-sugar-VPDQ085IB3 |
| Z1ZBPL94FL | https://instamart-media-assets.swiggy.com/swiggy/image/upload/fl_lossy,f_auto,q_auto,h_544,w_504/NI_CATALOG/IMAGES/ciw/2026/6/10/09630f13-e901-4596-bfe2-c2296996b4be_mn_bg_removed_AL7_f92d412f-683e-463e-8f13-3a8b51724f72.png | Kellogg's Muesli Fruit Nut & Seeds | Kellogg's | 65 g | ₹49 | ₹57 | 14% | No Maida, No Palm Oil, Seeds | Kellogg's Muesli Fruit Nut & Seeds|12 In 1 Power Breakfast | No Maida No Palm Oil | https://instamart.in/p/kellogg-s-muesli-fruit-nut-seeds-12-in-1-power-breakfast-no-maida-no-palm-oil-Z1ZBPL94FL |
| W50PL5HIG5 | https://instamart-media-assets.swiggy.com/swiggy/image/upload/fl_lossy,f_auto,q_auto,h_544,w_504/NI_CATALOG/IMAGES/CIW/2025/11/11/44405040-c150-4f93-a7a3-32dd9f5d4cb7_842429_1.png | Kellogg's Choco Millet Muesli 78% Fruit | Kellogg's | 400 g | ₹185 | ₹370 | 50% | No Palm Oil, Multigrain, Seeds, Millet | Kellogg's Choco Millet Muesli 78% Fruit, Seeds & Multigrain|Power Breakfast|No Palm Oil | https://instamart.in/p/kellogg-s-choco-millet-muesli-78-fruit-seeds-multigrain-power-breakfast-no-palm-oil-W50PL5HIG5 |
| B0ZZ6GPOG7 | https://instamart-media-assets.swiggy.com/swiggy/image/upload/fl_lossy,f_auto,q_auto,h_544,w_504/NI_CATALOG/IMAGES/ciw/2026/6/26/42834846-a2ed-4fc7-b087-f1e349c518ff_mn_bg_removed_AL6_1d954a3b-51d6-4c84-8f7b-6ecf4faa2fa9.png | Kellogg's Muesli Fruit Nut & Seeds | Kellogg's | 240 g | ₹157 | ₹185 | 15% | No Maida, No Palm Oil, Seeds | Kellogg's Muesli Fruit Nut & Seeds|12 In 1 Power Breakfast | No Maida No Palm Oil | https://instamart.in/p/kellogg-s-muesli-fruit-nut-seeds-12-in-1-power-breakfast-no-maida-no-palm-oil-B0ZZ6GPOG7 |
| R1C9RHGMCI | https://instamart-media-assets.swiggy.com/swiggy/image/upload/fl_lossy,f_auto,q_auto,h_544,w_504/NI_CATALOG/IMAGES/ciw/2026/6/26/67b27531-43ab-4ca3-bd47-f55851daeccb_mn_bg_removed_AL6_b2164e64-458f-4a5e-b295-b8776c90dc92.png | Kellogg's Muesli Fruit Nut & Seeds | Kellogg's | 750 g | ₹367 | ₹489 | 24% | No Maida, No Palm Oil, Seeds | Kellogg's Muesli Fruit Nut & Seeds|12 In 1 Power Breakfast | No Maida No Palm Oil | https://instamart.in/p/kellogg-s-muesli-fruit-nut-seeds-12-in-1-power-breakfast-no-maida-no-palm-oil-R1C9RHGMCI |
| 33U1FN7L28 | https://instamart-media-assets.swiggy.com/swiggy/image/upload/fl_lossy,f_auto,q_auto,h_544,w_504/NI_CATALOG/IMAGES/CIW/2024/10/14/ebc8f89e-d3e3-402a-a2bd-b9f75807bf14_186913_1.png | Yogabar Muesli Dark Chocolate and Fruit | Yogabar | 160 g | ₹99 | ₹99 | N/A | Dark Chocolate, Chocolate, Seeds | Yogabar Muesli Dark Chocolate and Fruit, Nuts and Seeds Pack of 2 | https://instamart.in/p/yogabar-muesli-dark-chocolate-and-fruit-nuts-and-seeds-pack-of-2-33U1FN7L28 |
| UCNOBDH0ZX | https://instamart-media-assets.swiggy.com/swiggy/image/upload/fl_lossy,f_auto,q_auto,h_544,w_504/NI_CATALOG/IMAGES/CIW/2026/5/25/7e9acf35-079f-4da4-86a8-409db4215c50_848497_1.png | SwitchYoga Bar 23g High Protein Muesli Choco Almond & Cranberry | Yoga Bar | 1 kg | ₹350 | ₹890 | 60% | High Protein, Protein, Fibre Rich, Fibre, Probiotics, Probiotic, Cranberry, Almond | SwitchYoga Bar 23g High Protein Muesli Choco Almond & Cranberry, Added Probiotics, Fibre Rich | https://instamart.in/p/yoga-bar-23g-high-protein-muesli-choco-almond-cranberry-added-probiotics-fibre-rich-UCNOBDH0ZX |
| BPJDT2DOFA | https://instamart-media-assets.swiggy.com/swiggy/image/upload/fl_lossy,f_auto,q_auto,h_544,w_504/NI_CATALOG/IMAGES/ciw/2026/6/10/c18daf45-f294-4603-b1c5-85235cae49e2_mn_bg_removed_AL10_7989c6b5-e7bc-4493-9f9c-dfba1e70ca31.png | Kellogg's Millet Muesli | Kellogg's | 500 g | ₹185 | ₹370 | 50% | Fibre, No Palm Oil, Multigrain, Millet | Kellogg's Millet Muesli with 84% Fruit, Seed & Multigrain|Power Breakfast|No Palm Oil84% fruit, seed & grains for a high-fibre breakfast | https://instamart.in/p/kellogg-s-millet-muesli-with-84-fruit-seed-multigrain-power-breakfast-no-palm-oil-BPJDT2DOFA |
The Four Layers of the Swiggy Instamart Dataset
Rather than one flat export, the Swiggy Instamart dataset splits into four connected layers, licensed individually or together, joined on a common product key.
Swiggy Instamart Product Listings Dataset
The descriptive layer behind every item on Instamart — what it is, how it’s categorized, and how it’s presented within the app’s grocery section.
- Product name, category and sub-category placement, brand, and SKU identifiers
- Description text, pack-size and quantity details, and flavor/variant attributes
- Primary and gallery image URLs
- Bundle and combo-pack configuration where applicable
Swiggy Instamart Price Dataset
Instamart pricing frequently layers Swiggy One member pricing on top of standard discounts, which means the same SKU can display different effective prices to different shoppers at the same moment.
- Current price, MRP, discount percentage, and Swiggy One member pricing
- Full price-change history with timestamps, tracked separately from standard pricing where member offers apply
- Promotional badges (flash deal, bundle offer, festive-sale pricing) tied to their active window
- Delivery-fee and minimum-order-value data by city
Swiggy Instamart Retail Product Dataset (Dark-Store Layer)
Because Instamart runs on a dense dark-store network rather than a single national warehouse, knowing what’s stocked where matters as much as the price tag itself.
- Dark-store level stock status: in stock, limited stock, or out of stock
- Category and sub-category placement within the app’s grocery browsing hierarchy
- Featured or banner-placement flags with historical transition records
- Price and availability history to detect regional stock-out patterns
Swiggy Instamart Customer Reviews Dataset
Because freshness and delivery accuracy matter more in quick-commerce grocery than in most retail categories, review sentiment here often surfaces issues star ratings alone would miss.
- Individual reviews with star rating, title, review text, and submission date
- Verified-order flag and anonymized reviewer identifier
- Aspect-level sentiment: freshness, packaging quality, value for money, and delivery speed
- Rating distribution and week-over-week review velocity trends
Where the Swiggy Instamart Dataset Runs Deepest
Instamart’s catalog leans toward daily-use grocery and convenience categories, reflecting the same fast-reorder behavior that drives Swiggy’s food-delivery business.
Dairy & Breakfast
The highest SKU velocity on the platform, tracked closely for repeat-purchase pricing patterns.
Snacks & Beverages
Frequent bundle-deal and flash-discount activity, closely tied to Swiggy One promotional cycles.
Fruits & Vegetables
Freshness-linked pricing and stock-turnover tracking unique to perishable categories.
Personal Care & Household
Pack-size and brand-tier variant tracking suited to repeat-purchase category analysis.
Add-Ons
Swiggy One member-pricing differentials, festive-sale event archives, and dark-store expansion-city tracking.
How Different Teams Put This Dataset to Work
The same underlying dataset ends up solving fairly different problems depending on who’s using it.
Competitive Price Monitoring
Track how competitor grocery products priced on Instamart move week to week, instead of manually checking the app across cities.
Dynamic Repricing
Feed live signals from the Swiggy Instamart price dataset directly into your own repricing logic to react to promotional cycles as they happen.
Quick-Commerce Market Research
Use multi-year price and rank history to understand how the Indian quick-commerce category is evolving city by city and platform by platform.
Demand Forecasting
Build forecasting models on top of 2+ years of price, stock, and review-velocity data to anticipate demand spikes around festive seasons.
AI and LLM Training Data
Use the clean, labeled Swiggy Instamart product listings dataset as training data for product-attribute extraction and recommendation models.
Catalog Benchmarking
Compare listing quality — image count, description depth, variant coverage — against how Instamart presents comparable products.
Who Actually Uses the Swiggy Instamart Dataset
The Swiggy Instamart Dataset provides insights into product listings, pricing, availability, discounts, and market trends, helping retailers, brands, analysts, and businesses make data-driven decisions and stay competitive.
FMCG & D2C Brands
Benchmark pricing, content, and category placement against Instamart’s quick-commerce competitors.
Quick-Commerce & Grocery Aggregators
Monitor cross-platform price gaps against Zepto, BB Now, and Blinkit for the same SKUs.
AI & ML Companies
Source clean, structured quick-commerce data for pricing models, demand-forecasting engines, and LLM training corpora.
Market Research Firms
Build category reports on India’s quick-commerce sector using multi-year historical depth.
Retail Consulting Firms
Validate market-entry and category-expansion hypotheses with verified quick-commerce data.
Investment & Analyst Teams
Track dark-store expansion, category velocity, and Swiggy One promotional cadence as alternative-data signals.
What This Dataset Actually Saves You
Manually tracking Instamart pricing across cities and categories isn’t realistic past a handful of SKUs, and it definitely won’t catch a Swiggy One-linked promotional price that only runs for a few hours.
Hours Back, Not Days
A structured feed replaces manual price-checking entirely — what used to take a team days to compile is available on a schedule you set.
Forecasts Grounded in Real History
2+ years of price and rank data lets you separate genuine demand shifts from one-off promotional spikes.
Reacting in Hours, Not Weeks
Swiggy One offers and flash deals move fast. A same-day feed means you find out about a price change the same day it happens.
Built Around Your Pipeline, Not Ours
Pick the categories, cities, and cadence that matter to you — delivered as CSV, JSON, API, or Parquet.
How the Swiggy Instamart Data Scraping Pipeline Actually Works
Here’s the straightforward version of how this gets built, not a marketing summary of it.
Collection Approach
Ethical, rate-limited collection from Instamart’s publicly visible pages within the Swiggy app — no credential bypass, no access to restricted internal APIs.
Validation Before Delivery
Every batch runs through automated schema checks, then a manual spot-check pass before it ships.
Deduplication
Repeat pulls of the same SKU are collapsed into one clean historical record instead of duplicate rows.
Refresh Scheduling
Daily, weekly, or intraday cycles keep pricing and stock fields current without you having to request a re-pull.
Stable Schema
Field names and structure stay consistent release over release, so your ingestion pipeline doesn’t break on the next refresh.
Compliance
Only publicly available marketplace data is collected, consistent with standard commercial data practice and platform terms.
This methodology runs on the same Quick Commerce Data Scraping infrastructure behind our other quick-commerce datasets — Swiggy Instamart Data Scraping is a maintained pipeline, not a one-off project.
Delivered However Your Stack Expects It
Access the Swiggy Instamart Product Dataset through flexible delivery methods, available in formats that fit seamlessly into your existing data pipeline and business systems.
CSV / Excel
Drop straight into Excel pricing models, Tableau dashboards, or Power BI reports.
JSON / API Feed
Documented schema, ready for direct ingestion into your application backend or data pipeline.
Cloud Storage / Database
Automated delivery to S3, SFTP, Snowflake, BigQuery, or Redshift on whatever cadence you set.
Pick the Plan That Matches Your Scope
Choose from flexible Swiggy Instamart Dataset pricing plans tailored to your data requirements, update frequency, and business goals.
One-Time Dataset Purchase
From $179
A one-time Swiggy Instamart dataset snapshot, delivered right away — no subscription commitment.
What’s included:
- Full point-in-time dataset snapshot
- CSV, JSON, or Parquet delivery
- Filter by category and city before delivery
Enterprise License
Contact Sales
Full-category, pan-India coverage with unlimited access and an SLA behind it.
What’s included:
- Unlimited API calls and delivery volume
- Dedicated account manager, 99.5% SLA
- Custom schema design and white-label delivery
A Team That’s Actually Built This Before
WebDataInsights provides reliable Swiggy Instamart Datasets with accurate product, pricing, and inventory data to help businesses stay competitive.
Track Record at Scale
Millions of verified records collected and refreshed continuously across India’s major quick-commerce platforms — Instamart is one of several, not a one-off build.
Support That Doesn’t Disappear After Launch
Dedicated account management, SLA-backed delivery, and proactive alerts if a schema ever needs to change.
Compliance-First, By Default
Only publicly accessible marketplace data is collected — no credential bypass, no restricted-API workarounds.
Custom Builds When You Need Them
Need a field, category, or city we haven’t listed here? We build custom Swiggy Instamart dataset configurations on request.
Questions People Actually Ask Us About the Swiggy Instamart Dataset
These come from real conversations with brands, analysts, and engineering teams evaluating this dataset.
It’s a structured export of Instamart’s quick-commerce retail data — product listings, pricing (including Swiggy One member pricing), dark-store availability, and customer reviews — cleaned, deduplicated, and delivered as CSV, JSON, or an API feed through our Swiggy Instamart Data Scraping pipeline.
CSV, Excel (XLS/XLSX), JSON, and API feeds by default. Parquet is available on request for Spark, Databricks, Snowflake, or BigQuery pipelines.
Pricing and stock fields can refresh intraday on enterprise plans, since flash deals and Swiggy One promotions change quickly. Listings update daily, and reviews update on a rolling basis.
Yes — tell us the categories, cities, fields, and refresh cadence you need, and we scope the extract accordingly rather than delivering a generic full export.
Yes, more than two years of historical pricing, including current price, MRP, and discount timestamps — useful for spotting genuine demand trends versus short-term promotions.
Yes. The Swiggy Instamart price and retail product datasets track SKU-level pricing over time, so you can flag when a listing drops below your policy floor without manual checking.
Yes. Because the same SKU can carry different effective prices for Swiggy One members versus non-members, the price dataset tracks both distinctly rather than blending them into one figure.
Yes. Only publicly visible pages within the Instamart section of the Swiggy app are collected, using rate-limited, ethical methods. We don’t bypass logins or access restricted internal APIs.
A DIY scrape typically returns inconsistent, messy data that needs significant cleanup, especially when trying to separate Instamart data from Swiggy’s food-delivery data. This dataset is already normalized, deduplicated, and schema-stable, ready for analysis the same day it arrives.
Yes, when licensed alongside our other quick-commerce datasets, the shared schema across platforms makes side-by-side pricing and assortment comparison straightforward.
Mostly FMCG and D2C brands, competing quick-commerce platforms, market research firms, AI/ML teams, retail consultants, and investment analysts tracking India’s quick-commerce sector.
Yes — automated delivery to S3, SFTP, Snowflake, BigQuery, or Redshift on whatever schedule you choose.
Get a Real Look at Swiggy Instamart’s Quick-Commerce Data
2.9M+ verified records, daily pricing refreshes, and 2+ years of historical depth across one of India’s largest quick-commerce platforms — starting at $179.