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Food Delivery · Zomato Data Scraping · Daily Refresh5★ on Clutch & Trustpilot

Zomato Data Scraping for Restaurants, Pricing & Reviews

Zomato data scraping covering 850K+ restaurants across India, UAE, Singapore, Indonesia and other Zomato markets — restaurant info, menus, prices, ratings, reviews, delivery times, cuisine tags, photo URLs.

Zomato restaurants
850K+
Daily
Refresh
cadence
Global
Coverage
scope
API+DaaS
Delivery
models
Live · Zomato Data Scraping Feed
◆ FDS
Coverage40+ countries
MarketsGlobal
Avg fields22+ per record
DeliveryAPI / DaaS
QA98%+ accuracy
Food Delivery intelligence · multi-market
Coverage across
IndiaUAEIndonesiaSingaporeAustraliaPhilippinesSri LankaQatarLebanonTurkey
What It Is

What is Zomato Data Scraping?

Zomato data scraping covering 850K+ restaurants across India, UAE, Singapore, Indonesia and other Zomato markets — restaurant info, menus, prices, ratings, reviews, delivery times, cuisine tags, photo URLs.

It is used by food delivery brands, retailers, distributors, marketplace operators, analysts and category teams to power competitor visibility, pricing baselines, NPD monitoring and day-to-day operational visibility.

Every record is delivered organized, deduplicated, normalized and ready-to-query — via REST API, scheduled CSV/JSON, dashboards or direct loads into Snowflake, BigQuery, Databricks and Redshift.

What we extract

  • Restaurant name & cuisine
  • Full menu with prices
  • Ratings & review count
  • Delivery time
  • Avg cost for two
  • Restaurant photos
  • Cuisine tags
  • Operating hours
// The Problem

The hidden cost of missing Zomato.

Manual tracking can't keep up with how fast this market moves. Here's what it quietly costs every week.

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In Zomato specifically, demand varies by city, daypart and weekday, but most groups monitor one blunt level.

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Menu and pricing data lives in PDFs and screenshots, not organized feeds.

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Groups duplicate manual research that a structured feed would provide automatically.

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Data is scattered throughout dozens of sites with no single, queryable source of truth. Teams working on Zomato feel this most.

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Raw web data needs heavy cleaning before it's usable, burning analyst hours.

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Decisions get made on partial samples instead of full-market coverage.

// Who It's For

Who relies on Zomato

Six ideal-customer profiles — each with the fields, granularity and delivery format that team actually needs.

[ 01 ] img

Food-Tech & AI Teams

Tidy structured restaurant data to power discovery, recommendation and price products — specifically for Zomato buyers.

ProductDataML
[ 02 ] img

Investors & PE

Independent chain performance, expansion velocity and same-store proxies for diligence — applied to Zomato.

PEVCEquity research
[ 03 ] img

Cloud & Dark Kitchens

Track virtual brands, multi-brand operators and white-space by cuisine and city — purpose-built for Zomato.

ExpansionBrandOps
[ 04 ] img

Data & Analytics Teams

Raw organized feeds piped straight into your warehouse and BI stack for custom modeling — tuned for Zomato.

DataBIAnalytics
[ 05 ] img

Product & Engineering

Reliable APIs and schemas to embed live data into apps, tools and internal platforms — specifically for Zomato buyers.

ProductEngPlatform
[ 06 ] img

Researchers & Trade Media

Data-backed reporting, baselines and trend evidence for publications and studies — applied to Zomato.

ResearchMediaInsights
// Coverage

What we capture — end to end.

Every field QA-validated and delivered in your preferred format. Custom fields on request.

India
700+ cities
UAE
Dubai · Abu Dhabi · Sharjah
Indonesia
Jakarta · Surabaya
Singapore
Active
Australia
Sydney · Melbourne
Philippines
Manila
Sri Lanka
Colombo
Qatar
Doha
Lebanon
Beirut
Turkey
Istanbul
Czech Republic
Prague
Portugal
Lisbon

— Plus regional, niche and emerging sources on request —

// Country-Wise Demand

Zomato across every key market.

Demand, platforms, regulation and seasonality differ by country — our pipelines localize for each.

🇺🇸

United States

Covering Zomato here: The world's largest restaurant market. Live pipelines spanning DoorDash, Uber Eats, Grubhub and direct chain sites — ZIP-level, with event and weather awareness.

$26B
Delivery market
6,000+
Cities covered
ZIP-level
Granularity
24-hr
Refresh available

Top demand drivers we model

Weekend spikesNFL / NBA daysWeather shiftsHoliday surgesPayday cycles

Most-asked in United States

Zomato feedsChain menu trackingCloud kitchen mapping
🇬🇧

United Kingdom

Covering Zomato here: GDPR-mature, strong B2B culture. Pipelines spanning Just Eat, Deliveroo and Uber Eats UK with postcode granularity.

£12B
Delivery market
Postcode
Granularity
GDPR
Aligned
6 platforms
Live

Top demand drivers we model

Premier LeagueBank holidaysWeatherFestive peaksPayday cycles

Most-asked in United Kingdom

Zomato feedsRestaurant chainsAllergen data
🇦🇪

UAE / Gulf

Covering Zomato here: High-AOV Gulf market with Ramadan demand swings. Talabat, Careem, Deliveroo UAE and Noon — emirate-level.

$4.5B
Delivery market
Ramadan
Modeled
7 emirates
Coverage
Arabic+EN
Bilingual

Top demand drivers we model

Ramadan / IftarSuhoor late-nightFri-Sat weekendEid surgesHeat waves

Most-asked in UAE / Gulf

Zomato feedsCloud kitchensHalal menus
🇮🇳

India

Covering Zomato here: Massive, fast-growing market. Zomato and Swiggy spanning 700+ cities with pin-code granularity and festival modeling.

$8B
Delivery + q-comm
700+
Cities
18,000+
Pin codes
Festival
Modeled

Top demand drivers we model

Diwali / HoliMonsoon shiftsWeekend cricketPayday cyclesRegional cuisine

Most-asked in India

Zomato feedsCloud kitchenCuisine trends
// Sample Data

What your Zomato feed looks like.

This is the actual data you'll receive — schema-validated and delivered as table, JSON, CSV, REST API feed or live dashboard.

zomato_data_scraping.preview
Item Category City Rating Price Platform
Cheeseburger Burger London, UK 4.5 £21.44 India
Quinoa Power Bowl Healthy Austin, US 4.7 $37.44 UAE
Butter Chicken Main Mumbai, IN 4.7 ₹3174 Indonesia
Pad Thai Thai Singapore, SG 4.6 S$31.68 Singapore
Caesar Salad Salad New York, US 4.2 $22.72 Australia
{ "item": "Cheeseburger", "category": "Burger", "city": "London, UK", "rating": "4.5", "price": "£21.44", "platform": "India" }
item,category,city,rating,price,platform Cheeseburger,Burger,London, UK,4.5,£21.44,India Quinoa Power Bowl,Healthy,Austin, US,4.7,$37.44,UAE Butter Chicken,Main,Mumbai, IN,4.7,₹3174,Indonesia Pad Thai,Thai,Singapore, SG,4.6,S$31.68,Singapore Caesar Salad,Salad,New York, US,4.2,$22.72,Australia
— Delivered directly into your stack —
SnowflakeBigQueryAWS S3Power BITableauGoogle SheetsREST APIWebhooks
// Use Cases

How teams turn this data into real outcomes.

From operations to the boardroom — structured data drives every downstream decision.

[ 01 ] img

Restaurant Chains

Competitor menu intelligence, pricing benchmarks and outlet-level performance signals across Zomato markets.

[ 02 ] img

Market Researchers

India restaurant industry dynamics, cuisine trends, premium-vs-mass mix and delivery economics.

[ 03 ] img

Investors & PE

Restaurant chain due diligence, cloud kitchen tracking and Zomato platform health signals.

[ 04 ] img

Foodservice Suppliers

Restaurant prospect intelligence, multi-brand operator identification and territory planning.

[ 05 ] img

Cloud Kitchens

Track Rebel Foods, Curefoods, EatClub virtual brands across India Zomato listings.

[ 06 ] img

Category Analysts

Cuisine trends, premium dining growth and regional preferences across India.

// How It Works

From raw web to your stack — in four steps.

A managed pipeline that runs continuously, so your data is never stale.

[ 01 ]

Scope & Connect

We map your target platforms for Zomato, fields, markets and refresh cadence — and ingest any data you already have.

[ 02 ]

Normalize & Dedupe

Messy raw output is cleaned, standardized and de-duplicated into a single tidy schema.

[ 03 ]

Map the Sources

We identify exactly which sites, apps and pages hold the fields you care about, then plan coverage.

[ 04 ]

Deliver & Monitor

Pushed to your API, warehouse or dashboard on schedule, with alerts and ongoing monitoring built in.

// Why Food Data Scrape

What sets our Zomato apart

Most vendors don't own their data. We do — and that's the difference between generic and tuned to your market.

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Schema you control. Define exactly the fields, formats and cadence you need — we match your spec — including India, UAE, Indonesia, Singapore.

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Compliant by design. Respectful crawling, rate limits and clean sourcing — built for enterprise procurement.

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40+ countries, localized. Currency, language, units and regulation handled per market — not generic.

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We own the data. 220M+ pages crawled weekly throughout 200+ platforms — not bought from third parties.

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Real humans on support. A named data engineer on your account — not a ticket queue.

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Scales with you. From a single pilot feed to multi-market, multi-million-record pipelines.

// FAQ

Zomato Data Scraping FAQ

Common questions from the teams who use this data — answered.

Projects start from $1,500. Always-on DaaS subscriptions start from $3,000/month, with custom enterprise price for high-volume or multi-market needs.
Yes — a free pilot with up to 500 SKUs or 1,000 records lets you validate schema, coverage and quality ahead of any commitment.
We maintain a historical archive so you can analyze trends, seasonality and changes over time, backfilled where available.
We QA-validate every field against source, deduplicate records and flag anomalies — typically delivering 98%+ field accuracy.
Yes — we add new platforms, regions and fields on request, scaling from a single source to multi-market pipelines.
Share your platforms, fields and markets — we return a free sample within 48 hours so you can validate ahead of committing.
// Ready to Start?

See your Zomato sample in 48 hours.

Tell us your platforms, markets and fields, and we will supply a free Zomato sample so you can validate quality before any commitment.



Get a Free Food Data Sample

Get a Free Food Data Sample in 48 Hours.

Tell us your platforms, target markets and required fields — we'll map exactly what's possible with food data scraping, recommend the right approach, and send a working sample so you can verify quality before any commitment.

Free pilot — 1,000 records, no credit card
48-72 hour sample turnaround
GDPR-aligned · public data only · NDA on request
5★ rated on Clutch, GoodFirms & Trustpilot
Singapore Office
60 Paya Lebar Rd, #11-22
Paya Lebar Square
Singapore 409051
India Office
202, Nr. Indraprastha Business Park
Makarba, Ahmedabad
Gujarat 380051

Request a strategy call

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Thanks — our data team will reach out within 48 hours with your sample.