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LIVE → Real-time scraping APIs with 99.9% uptime SLA
New grocery & FMCG datasets updated daily
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Serving 45+ countries — AI-powered, enterprise-grade data
LATEST → How we scraped 500K grocery SKUs in 48 hours — read the breakdown Read now
LIVE → Real-time scraping APIs with 99.9% uptime SLA
New grocery & FMCG datasets updated daily
FREE → Download sample datasets — no credit card required Get yours
Serving 45+ countries — AI-powered, enterprise-grade data
Restaurants · Menus · Reviews · 100+ Platforms · Real-Time

Restaurant
Data Scraping
Services

Extract menus, pricing, reviews, ratings, and delivery insights from top platforms like Zomato, Uber Eats, DoorDash, Grubhub, Deliveroo, and Talabat — USA, UAE, India & globally.

  • Benchmark restaurant pricing & delivery fees across platforms
  • Monitor menu changes, item availability & new listings
  • Analyse customer ratings & sentiment data at scale
  • Track promotions, offers, and seasonal deals in real time
  • City-level & hyperlocal restaurant intelligence
  • USA, UAE, India, UK, Japan, Denmark, Singapore & Australia
// Restaurant CoverageLive
100+
Platforms
99%
Accuracy
50+
Cities
24/7
Monitoring
ZOMATOUBER EATSDOORDASHGRUBHUBTALABATDELIVEROO

Every Layer of
Restaurant Intelligence

From full menu details to hyperlocal delivery fees — we extract every data point your restaurant, aggregator, or research team needs.

🍽️
Menu & Item Data

Full menu extraction — categories, dish names, descriptions, ingredients, nutritional values, portion sizes, customisation options, and pricing per item.

💰
Pricing & Delivery Fees

Item pricing, delivery charges, minimum order thresholds, surge pricing, and platform service fees — tracked in real time across all platforms.

Reviews & Ratings

Customer reviews, star ratings, verified order tags, and AI sentiment scoring. Identify top dishes, recurring complaints, and brand perception trends.

🏷️
Promotions & Offers

Flash sales, coupon codes, combo deals, free delivery offers, and loyalty promotions — captured in real time for competitive benchmarking.

📍
Location & Listings

Restaurant addresses, geo-coordinates, opening hours, cuisine categories, service areas, and new listing signals across cities and regions.

📞
Contact & Business Info

Phone numbers, email addresses, website URLs, social media handles, and appointment/reservation booking links — structured and validated.

How Businesses Use
Restaurant Data

From competitive menu analysis to hyperlocal delivery intelligence — the highest-impact ways restaurant data gets put to work.

📈
Competitor Menu Analysis
  • Track menu changes daily
  • Monitor price adjustments
  • Detect new item launches
  • Benchmark cuisine categories
🎯
Pricing Strategy
  • Compare delivery fee structures
  • Track competitor discounts
  • Dynamic pricing insights
  • Promo depth benchmarking
Reputation Management
  • Scrape reviews across platforms
  • Sentiment trend monitoring
  • Identify complaint patterns
  • Track star rating changes
📍
Market Expansion
  • New city restaurant mapping
  • Cuisine gap analysis
  • Demand signal extraction
  • Competitor density mapping
🚚
Delivery Intelligence
  • SLA & ETA benchmarking
  • Surge pricing detection
  • Dark kitchen monitoring
  • Coverage area mapping
📋
Business Listings
  • Build restaurant databases
  • Contact info extraction
  • Operating hours accuracy
  • Amenities & feature data
Platforms
100+
Restaurant & delivery
Data Accuracy
99%
ML-validated
Cities
50+
Hyperlocal coverage
Fresh Data
24/7
Always current

Restaurant Scraping
Questions Answered

Menu items, pricing, descriptions, ingredients, nutritional values, delivery fees, customer reviews, star ratings, promotions, opening hours, location data, and contact information across all major platforms.
Yes. Our live crawlers flag menu additions, removals, and price changes within minutes — critical for food delivery aggregators and competitive intelligence teams.
Zomato, Uber Eats, DoorDash, Grubhub, Swiggy, Deliveroo, Talabat, Just Eat, Yelp, Google Maps, TripAdvisor, OpenTable, and 90+ more globally.
Yes. We extract thousands of reviews daily, run AI sentiment scoring, and categorise feedback by food quality, service, delivery, and value — across any platform.
Yes. Data can be scoped to city, district, ZIP code, or even street-level precision — useful for dark kitchen site selection and hyperlocal campaign targeting.
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