Zomato Food Delivery Restaurants in Mumbai Dataset
The Zomato Food Delivery Restaurants Mumbai Dataset gives you a complete, curated snapshot of every delivery‑enabled restaurant in Mumbai’s dynamic food scene. From neighborhood‑level coverage to cuisine diversity, delivery time estimates, and customer ratings, this dataset supports accurate market sizing, operational optimisation, and data‑backed expansion strategies. Each of the 954 records includes restaurant names, cuisine […]
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Zomato Food Delivery Restaurants in Mumbai Dataset – built for your needs
The Zomato Food Delivery Restaurants Mumbai Dataset gives you a complete, curated snapshot of every delivery‑enabled restaurant in Mumbai’s dynamic food scene. From neighborhood‑level coverage to cuisine diversity, delivery time estimates, and customer ratings, this dataset supports accurate market sizing, operational optimisation, and data‑backed expansion strategies.
Each of the 954 records includes restaurant names, cuisine types, price bands, delivery time estimates, direct links to Zomato profiles, and associated images – all cleaned and structured for immediate use in dashboards, predictive models, and GIS‑based location intelligence.
🗂️ Data Schema (Key Columns)
| # | Column Name | Data Type | Description | Example |
|---|---|---|---|---|
| 1 | Image | VARCHAR | URL of restaurant thumbnail | https://… |
| 2 | Link | VARCHAR | Direct Zomato restaurant page | https://zomato.com/mumbai/… |
| 3 | Offers | VARCHAR | Current promotions / discounts | 50% off up to ₹100 |
| 4 | Title | VARCHAR | Restaurant name | The Bohri Kitchen |
| 5 | Ratings | FLOAT | Average customer rating (out of 5) | 4.3 |
| 6 | Cuisines | VARCHAR | Comma‑separated cuisine tags | Mughlai, North Indian, Biryani |
| 7 | Price | INT | Average cost for two (INR) | 500 |
| 8 | ETA Delivery | VARCHAR | Estimated delivery time | 30-35 mins |
The downloadable dataset includes additional derived fields: location zone, delivery_fee, popularity_score, and last_updated timestamp.
| Image | Link | Offers | Title | Ratings | Cuisines | Price | ETA Delivery |
|---|---|---|---|---|---|---|---|
| https://b.zmtcdn.com/data/pictures/2/19946622/b65d90ef59e2d012cc55c6d44faf8d67_o2_featured_v2.jpg | https://www.zomato.com/mumbai/chinese-wok-wadala/order | ₹300 OFF | Chinese Wok | 3.9 | Chinese, Momos | ₹300 for one | 29 min |
| https://b.zmtcdn.com/data/pictures/2/18165882/1ac06ca2a57efcf92b15821298f28752_o2_featured_v2.jpg | https://www.zomato.com/mumbai/charcoal-eats-biryani-beyond-dadar-east/order | Flat 20% OFF | Charcoal Eats - Biryani & Beyond | 3.9 | Biryani, North Indian, Rolls, Desserts, Beverages | ₹300 for one | 28 min |
| https://www.zomato.com/mumbai/restaurants?category=1 | https://www.zomato.com/mumbai/guru-kripa-sion/order | ₹101 OFF | Guru Kripa | North Indian, Mithai, Fast Food, South Indian, Sandwich, Street Food, Rolls, Desserts | ₹150 for one | 31 min | |
| https://www.zomato.com/mumbai/restaurants?category=1 | https://www.zomato.com/mumbai/raj-palace-restaurant-sion/order | ₹101 OFF | Raj Palace Restaurant | 4 | North Indian, Mughlai, Biryani, Kebab, Chinese | ₹200 for one | 31 min |
| https://www.zomato.com/mumbai/restaurants?category=1 | https://www.zomato.com/mumbai/souffle-matunga-east/order | ₹101 OFF | Souffle | 3.9 | Bakery, Desserts, Fast Food | ₹200 for one | 39 min |
| https://www.zomato.com/mumbai/restaurants?category=1 | https://www.zomato.com/mumbai/shawarmaji-matunga-east/order | ₹101 OFF | Shawarmaji | 3.9 | Shawarma, Salad, Lebanese | ₹150 for one | 26 min |
| https://www.zomato.com/mumbai/restaurants?category=1 | https://www.zomato.com/mumbai/dominos-pizza-matunga-west/order | 50% OFF | Domino's Pizza | Pizza, Fast Food, Beverages, Desserts | ₹200 for one | 24 min | |
| https://b.zmtcdn.com/data/pictures/5/38405/65501d8164d27a7ce9c5cab0d571c278_o2_featured_v2.jpg | https://www.zomato.com/mumbai/guru-kripa-sion/order | ₹101 OFF | Guru Kripa | North Indian, Mithai, Fast Food, South Indian, Sandwich, Street Food, Rolls, Desserts | ₹150 for one | 31 min | |
| https://b.zmtcdn.com/data/pictures/5/19312325/d3c173d7473ef6b905f431293217bbdf_o2_featured_v2.jpg | https://www.zomato.com/mumbai/raj-palace-restaurant-sion/order | ₹101 OFF | Raj Palace Restaurant | 4 | North Indian, Mughlai, Biryani, Kebab, Chinese | ₹200 for one | 31 min |
| https://b.zmtcdn.com/data/pictures/4/19615674/158a40a52ae76c8a00071ffc2db88e38_o2_featured_v2.jpg | https://www.zomato.com/mumbai/souffle-matunga-east/order | ₹101 OFF | Souffle | 3.9 | Bakery, Desserts, Fast Food | ₹200 for one | 39 min |
💡 How to Drive Impact with This Dataset
📍 Market Sizing & Gap Analysis
Map restaurant density, cuisine gaps, and coverage zones across Mumbai wards. Identify underserved neighborhoods for new delivery expansion.
🚀 Delivery Performance Optimisation
Analyze delivery time estimates, pricing, and popularity to prioritize restaurant onboarding and route planning for faster fulfillment.
🍽️ Menu & Pricing Strategy
Uncover pricing sweet spots by cuisine and location. Benchmark your restaurant's price point against local competition.
📊 Forecasting & Capacity Planning
Combine restaurant density with seasonal trends to forecast demand and allocate delivery fleets effectively.
🎯 Who Benefits Most
📈 Delivery Platforms & Aggregators
Benchmark your restaurant coverage and delivery SLAs against Zomato’s Mumbai footprint.
🏪 Restaurant Chains & Franchises
Identify high‑potential micro‑markets, study competitor ratings, and fine‑tune your expansion strategy.
📊 Market Researchers & Analysts
Model Mumbai’s food delivery economy, track cuisine trends, and create geo‑visualizations for reports.
🤖 Data Scientists & ML Engineers
Build demand prediction, delivery time forecasting, and restaurant recommendation models with real‑world data.
✅ Why Choose ScraperScoop?
Your data partner for ethical, reliable, and instantly usable datasets.
Ethically & Legally Sourced
We use only public data and licensed channels, respecting platform terms. Zero scraping of protected content.
Clean, Deduplicated & Ready
No missing values, no duplicates. Every record is validated and consistent across CSV, JSON, and Excel formats.
One‑Time Purchase, No Subscriptions
Pay once and keep the dataset forever. No recurring fees, no forced updates.
Real People, Fast Support
Have a custom request or technical question? Contact us – we respond within hours.
⭐ Success Stories
"This dataset gave us instant visibility into Mumbai’s delivery map. We identified 12 new zones for expansion in one afternoon."
"The clean schema made it a breeze to build a Power BI dashboard. Our investors loved the market coverage visuals."
"ScraperScoop’s sample convinced me it was worth it. The full dataset matched the quality perfectly."
"We used the dataset to optimize our partner onboarding and cut average delivery times in Mumbai by 18%."
📣 Impressed? Share your results
❓ Frequently Asked Questions
The dataset is a snapshot from May 2026. It includes last_updated timestamps per restaurant for transparency.
You get CSV, JSON, and XLSX (Excel) versions in a single zip. Choose whichever fits your workflow – ETL, Python notebooks, or manual analysis.
Yes. Request a 950+‑row sample with all columns to test schema and quality before purchase.
Absolutely. The dataset covers internal analytics, commercial dashboards, and machine learning models. Redistribution of the raw dataset is not allowed.
No. This dataset is compiled from publicly available restaurant information and licensed data partners. It adheres to best practices and is not the result of unauthorised scraping. You can rely on it for legitimate business use without compliance risk.
- High-quality, structured dataset
- Regular updates and refresh
- Available in multiple formats
- Free sample before you commit
The same records, in whichever format your stack expects
No conversion step, no separate schema to learn — switch formats any time without touching your pipeline.
{
"id": "12345",
"name": "Sample Product",
"price": 29.99,
"category": "Electronics"
}
]
| id | name | price | category |
|---|---|---|---|
| 12345 | Sample Product | 29.99 | Electronics |
| 67890 | Another Item | 19.50 | Home |
| A · id | B · name | C · price | D · category | |
|---|---|---|---|---|
| 1 | 12345 | Sample Product | 29.99 | Electronics |
| 2 | 67890 | Another Item | 19.50 | Home |
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Built for anti‑bot measures
Our infrastructure handles the target's specific blocks and markup changes.
Regular refresh where it matters
Key fields update frequently so you're never working with stale data.
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JSON, CSV, and Excel share the same field names and types.
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Every field included, in plain terms
| Field | Description | Type |
|---|---|---|
| id | Unique identifier | Core |
| name | Product or entity name | Core |
| price | Current price | Pricing |
| category | Primary category | Core |
| last_updated | Timestamp of most recent refresh | Core |
Priced by coverage, not by seat
Every plan includes JSON, CSV, and Excel delivery, plus a free sample before you commit.
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Get it however your team already works
Dataset vs. an in‑house scraper
| Capability | ScraperScoop Dataset | In‑house scraper |
|---|---|---|
| Time to first data | Same day (sample) | Weeks to months |
| Anti‑bot handling | ||
| Multi‑region coverage | ||
| Maintenance when source changes | Handled for you | Your team's responsibility |
| Excel‑ready export |
Teams that stopped guessing and started using data
"The sample matched our production needs almost exactly. We were loading real data into our warehouse within two days."
"Excel export mattered more than I expected — our team could work with the data directly without asking engineering for a CSV parser."
"The refresh speed on key fields changed how fast we could react to competitors. Absolutely essential."
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