Food data scraping services, built for India's delivery economy
Restaurant listings, live menus, pricing, offers, reviews and outlet locations pulled from every major Indian food platform structured, deduplicated, and delivered on a schedule you set.
Food Industry Overview in India
India's food services market is one of the fastest-digitising in the world and one of the messiest to track manually. Here's the landscape our pipelines are built for.
Between two dominant aggregators, a growing quick-commerce food layer, direct QSR apps, and thousands of independent cloud kitchens, restaurant data in India changes constantly new outlets launch weekly, menus get re-priced by daypart, and offers rotate daily. Manual tracking simply cannot keep pace across this scale, which is why data teams, QSR chains, and market researchers turn to structured scraping pipelines instead of spreadsheets.
Our Food Data Scraping Services
End-to-end coverage of the food data stack from raw extraction to analytics-ready delivery.
Restaurant Data Extraction
Names, cuisines, addresses, timings, and status across every listing platform in a city.
Menu Data Scraping
Item-level menus with variants, add-ons, combos, and category structure, refreshed on schedule.
Pricing & Offer Monitoring
Base price, surge price, discounts, and coupon tracking across dayparts and platforms.
Reviews & Ratings Extraction
Star ratings, review text, sentiment tags, and rating trend history per outlet.
Delivery & Order Intelligence
Delivery time bands, minimum order value, delivery fee slabs, and serviceability zones.
Location & Outlet Mapping
Geo-coordinates, outlet counts, dark-store footprint, and locality-level density mapping.
Leading Food Delivery Platforms We Scrape
Aggregators, quick-commerce food layers, and direct-to-app QSR ordering systems.
Coverage is built and maintained per client requirement, in line with each platform's public data and applicable terms of use.
Restaurant Data Extraction
A complete, deduplicated restaurant master list per city the foundation layer every downstream analysis depends on.
- Outlet name, brand, cuisine tags, and price band
- Operating hours and live/inactive status
- Cross-platform ID matching to remove duplicates
{
"restaurant_id": "WDC-DEL-04821",
"name": "Punjab Grill Express",
"platform": "Zomato",
"city": "New Delhi",
"locality": "Connaught Place",
"cuisines": ["North Indian", "Mughlai"],
"avg_cost_for_two": 650,
"rating": 4.3,
"status": "open",
"last_scraped": "2026-07-10T09:12:00Z"
}
Food Pricing & Offer Monitoring
Track how prices and discounts move across platforms and dayparts, down to the coupon level.
- Base price vs. platform surge/peak-hour price
- Active coupons, flat-off and percentage-off offers
- Historical price change logs for trend analysis
| Item | Platform | Base ₹ | Offer |
|---|---|---|---|
| Veg Combo Meal | Swiggy | 249 | 20% OFF |
| 2 Pizza Combo | Domino's App | 399 | Flat ₹100 |
| Chicken Biryani | Zomato | 259 | Buy1Get1 |
| Thali Special | magicpin | 189 |
Restaurant Reviews & Ratings Data Extraction
Structured review capture with rating history, so you can spot quality drift before it shows up in churn.
- Overall rating and delivery-experience sub-ratings
- Review text with date and reviewer tier
- Rating trend tracked over rolling 30/90-day windows
{
"restaurant_id": "WDC-HYD-01193",
"rating_overall": 4.1,
"rating_delivery": 4.4,
"review_count_30d": 312,
"rating_trend_90d": "+0.2",
"top_tags": ["fast delivery", "generous portions"]
}
Food Delivery & Order Intelligence
Understand serviceability and delivery economics at the outlet and locality level.
- Estimated delivery time bands by locality
- Minimum order value and delivery fee slabs
- Serviceable radius and dark-store assignment
| Locality | ETA | Min Order | Fee ₹ |
|---|---|---|---|
| Koregaon Park | 22–28 min | ₹99 | 19 |
| Baner | 28–35 min | ₹149 | 29 |
| Viman Nagar | 18–24 min | ₹99 | 15 |
Restaurant Location & Outlet Data
Geo-tagged outlet data for footprint mapping, whitespace analysis, and competitor density studies.
- Latitude/longitude and full postal address
- Outlet type: dine-in, delivery-only, cloud kitchen
- Brand-wise outlet counts per city and locality
| Brand | City | Outlets | Type |
|---|---|---|---|
| Behrouz Biryani | Chennai | 14 | Cloud Kitchen |
| Wow! Momo | Chennai | 22 | Delivery-only |
| Sangeetha Veg | Chennai | 31 | Dine-in |
Food Data Fields We Extract
A standard field set that most engagements start from extended per client on request.
Sample Restaurant Dataset
A preview of the raw fields our crawlers pull from food delivery platforms across Indian cities this is a 10-row sample from a live dataset refreshed daily.
| # | Restaurant | Cuisine | City Area | Rating | Diet | Platforms | Price for two | Hours | Updated |
|---|---|---|---|---|---|---|---|---|---|
| 01 | Truffles | American Casual | Mumbai Bandra | ★ 4.5 | Non-Veg | ZOMSWG | ₹800 | 11am–1am | 2026-07-10 05:40 |
| 02 | Saravana Bhavan | South Indian | Chennai T. Nagar | ★ 4.4 | Pure Veg | ZOMSWGEAT | ₹450 | 7am–11pm | 2026-07-10 05:55 |
| 03 | Karim's | Mughlai | Delhi Jama Masjid | ★ 4.6 | Non-Veg | ZOMSWG | ₹600 | 9am–12am | 2026-07-10 06:02 |
| 04 | Vaishali | South Indian Cafe | Pune FC Road | ★ 4.3 | Pure Veg | SWGMGP | ₹350 | 7:30am–11:30pm | 2026-07-10 05:48 |
| 05 | Bademiya | Street Kebabs | Mumbai Colaba | ★ 4.2 | Non-Veg | ZOM | ₹500 | 7pm–4am | 2026-07-10 06:07 |
| 06 | Meghana Foods | Andhra Biryani | Bengaluru Indiranagar | ★ 4.5 | Non-Veg | ZOMSWGEAT | ₹700 | 11am–11pm | 2026-07-10 05:33 |
| 07 | Bhagat Tarachand | Gujarati Thali | Ahmedabad Manek Chowk | ★ 4.4 | Pure Veg | ZOMSWG | ₹400 | 11am–3:30pm, 7–11pm | 2026-07-10 06:15 |
| 08 | 6 Ballygunge Place | Bengali | Kolkata Ballygunge | ★ 4.6 | Non-Veg | ZOMSWGMGP | ₹1,200 | 12pm–3:30pm, 7–11pm | 2026-07-10 05:59 |
| 09 | Chokhi Dhani | Rajasthani Thali | Jaipur Tonk Road | ★ 4.3 | Pure Veg | SWG | ₹900 | 5pm–11pm | 2026-07-10 05:21 |
| 10 | Paradise Biryani | Hyderabadi Biryani | Hyderabad Secunderabad | ★ 4.4 | Non-Veg | ZOMSWGEAT | ₹650 | 11am–11:30pm | 2026-07-10 06:20 |
🇮🇳 Sample records live India food data API returns full datasets with all scraped fields across 210 cities
Access Full Dataset →Food Industry Use Cases
How teams put this data to work once it lands in their warehouse.
Competitive price benchmarking
Compare pricing across your outlets vs. competing brands, locality by locality.
Cloud kitchen site selection
Identify underserved localities using outlet density and delivery-time data.
Dynamic menu optimisation
Spot high-performing items and pricing gaps across your catalogue.
Aggregator commission analysis
Reconcile listed prices against payouts across platforms.
Brand reputation monitoring
Track rating drift and review sentiment across outlets in near real time.
Market-entry research
Size a city's food delivery market before committing to expansion.
Industries We Serve
QSR & Restaurant Chains
Cloud Kitchen Operators
Food Delivery Aggregators
FMCG & Packaged Food Brands
Market Research Firms
Investors & PE / VC Analysts
Pricing & Revenue Teams
Consulting & Advisory Firms
Benefits of Food Data Scraping
What structured, always-fresh food data actually changes for your team.
Faster decisions
Skip manual audits pricing and menu changes land in your pipeline within hours.
City-wide coverage
See every outlet in a market, not just the ones your team can manually check.
Historical trendlines
Price, rating, and offer history that spreadsheets can't reconstruct after the fact.
Clean, deduped data
One restaurant record per outlet, matched across platforms no duplicate noise.
Analyst hours saved
Redeploy research time from data collection to actual analysis and strategy.
API-ready delivery
Plug data directly into your BI tools, dashboards, or internal systems.
Our Food Data Collection Process
Modelled on the same principle Mumbai's dabbawalas use to route thousands of tiffins daily a coded, repeatable system that scales without dropping a single record.
Scope & target mapping
We confirm platforms, cities, and the exact field set your use case needs.
Pipeline build
Custom crawlers and parsers are built per platform, respecting each site's structure and terms.
Scheduled extraction
Data is pulled on the cadence you need hourly, daily, or weekly.
Cleaning & deduplication
Records are normalised, cross-platform matched, and validated before delivery.
QA & anomaly checks
Automated checks flag missing fields, price outliers, and broken listings.
Delivery & handoff
Final data lands in your chosen format or API endpoint, on schedule.
Data Delivery Formats & API Integration
Take the data however your stack consumes it.
CSV / Excel
Ready for spreadsheets and BI tools.
JSON
Nested, structured records for apps.
REST API
Query live data on demand.
Database push
Direct delivery into your warehouse.
{
"count": 4820,
"page": 1,
"results": [ "..." ],
"updated": "2026-07-10T06:00:00Z"
}
Cities Covered Across India
Metro-first coverage that extends into tier-2 and tier-3 markets as delivery platforms grow.
Frequently Asked Questions
We collect publicly available data and structure our pipelines around each platform's public listings and applicable terms. We recommend clients review their own use case with legal counsel, especially for redistribution.
Refresh cadence is set per engagement commonly hourly for pricing/offers, daily for menus, and weekly for outlet/location data.
Yes we build custom field mapping per client rather than delivering a fixed template. Share your schema and we'll scope accordingly.
CSV, Excel, JSON, direct database push, or REST API access whichever fits your existing stack.
Yes, coverage extends beyond the eight metros into tier-2 and tier-3 markets, scoped on request based on platform availability.
Fill in the form below with your city and platform of interest we'll share a free structured sample dataset within one business day.
Why Choose Our Web Data Crawlers?
Streamline Research
Automate data collection for comprehensive insights.
Save Time
Efficiently gather and analyze data from multiple sources.
Real-time Updates
Stay continuously informed with the latest information.
Competitive Advantage
Monitor competitors' activities and pricing strategies.
Insightful Analysis
Extract trends and patterns for strategic decision-making.
Market Intelligence
Aggregate data from diverse websites effortlessly.
Customizable Solutions
Tailored to fit specific business requirements seamlessly.
Enhanced Productivity
Streamline workflows and boost efficiency significantly.
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