Zomato Scraper

Zomato is one of the most influential platforms in the food and hospitality space — millions of users rely on it daily to discover, compare, and rate restaurants in their city or while traveling. From menus to customer sentiment, the site captures real-time insight into dining behaviour and market trends.

With our Zomato scraper, you can collect that data at scale — clean, structured, and ready to support research, analysis, or lead generation in the restaurant, foodtech, or location intelligence space.

Zomato Scraper
Solutions

How Our Zomato Data Scraper Works

Instead of giving you a scraping tool to figure out, we handle the entire process. Our Zomato data scraper is a done-for-you service — just tell us what kind of data you need, and we’ll deliver it in a format that’s ready to work with.

We extract information directly from listings, reviews, and profiles — from restaurant names and phone numbers to ratings, menus, pricing, and even popular dishes. All data is cleaned, organised, and delivered in CSV, Excel, JSON, or any other format you prefer.

What We Extract with the Zomato Scraper

The Zomato scraper focuses on collecting structured restaurant and food-related data directly from the platform. We extract:

  • Restaurant names and location details
  • Contact info: phone numbers, addresses, website URLs
  • Cuisine types and service categories (e.g. dine-in, delivery, takeaway)
  • Menu items with pricing
  • Ratings, number of votes, and review excerpts
  • Opening hours and average cost for two
  • Restaurant photos and cover images

This core data is valuable for market research, local discovery platforms, competitive analysis, and building up-to-date food directories.

What We Extract with the Zomato Scraper
Scrape Zomato to Unlock More Insights

Scrape Zomato to Unlock More Insights

When you scrape Zomato, you can go beyond the surface-level listings. We also collect:

  • Full user reviews and review dates
  • Reviewer profiles (name, profile photo, review count)
  • Dish popularity tags (e.g. “People love this”)
  • Restaurant tags (e.g. “Romantic,” “Great for groups,” “Live music”)
  • Average delivery times and platform-based ranking
  • Links to similar restaurants in the same area
  • Social media links when provided by the restaurant

These additional layers reveal how users interact with restaurants and what differentiates top-performing venues in each area or cuisine.

About Zomato

Zomato is a global food discovery and delivery platform, founded in India in 2008 and now serving over 10,000 cities across 24 countries. It allows users to explore restaurants, view menus, read reviews, and place orders — all in one place. Beyond food delivery, Zomato also supports reservations, loyalty programs, and event bookings, making it a full-stack ecosystem for dining and hospitality.

Its strongest presence is in India and the UAE, but it also operates in parts of Southeast Asia, Europe, and Latin America. The site is available in multiple languages and localizes currency, pricing, and restaurant content based on user location. Zomato.com stands out for its highly detailed restaurant listings, real-time menu updates, and massive volume of user reviews — making it one of the richest sources of structured data in the food tech space.

Get a Quote
dev_w

25

Developers

customers

90

Customers

pages

60 000 000

Pages extracted

stime

3500

Hours saved for our clients

Plans

Web Scraping Plans & Pricing

Customized plans that grow with your data needs.

Airplane

€199 / one-time

setup fee — included

Data limits100,000
Frequencyone-time
Run timeup to 5 days
Data storing7 days

Helicopter

€169 / mo

setup fee €499

Data limits250,000
Frequencymonthly
Run timeup to 5 days
Data storing14 days

Glasses

€229 / mo

setup fee €499

Data limits1,000,000
Frequencyweekly
Run timeup to 5 days
Data storing30 days

DNA

€549 / mo

setup fee €799

Data limits3,000,000
Frequency3 times daily
Run timesame day
Data storing90 days

Why Use a Zomato Web Scraper?

A Zomato web scraper gives you access to rich, structured data from one of the world’s most frequently used restaurant platforms. Instead of manually copying listings or relying on outdated directories, you get live data that reflects current pricing, reviews, and menus.

It’s a valuable resource for building food delivery apps, restaurant discovery tools, or competitive reports for hospitality businesses. Whether you're mapping new market entries or enriching your own database, scraping Zomato helps you move faster with real, user-driven data.

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About ScrapeIt

ScrapeIt is a data extraction company that helps you access valuable information from platforms like Zomato — without the complexity of building a custom tool. We act as your business scraper, delivering exactly the data you need, tailored to your niche and goals.

Whether you're gathering insights for marketing, building a foodtech product, or analysing restaurant trends, we deliver structured data that’s ready to export in a clean, organised file. No code, no setup — just usable data from day one. Our Zomato scraper helps you unlock location-based, menu-level, and review-driven insights — all in one export.

FAQ

Can I use Zomato data to generate leads for my business?

Yes — restaurant listings and contact info can help target local leads in food, delivery, or B2B services.

What does a Zomato web scraper collect?

A web scraper can extract names, menus, prices, reviews, addresses, and more — all structured and ready to use.

Is Zomato data scraping legal?

We only do ethical data scraping — from public pages, without violating platform rules or accessing private data.

What industries or services benefit from Zomato scraping?

Marketing firms, food delivery apps, POS systems, and location-based services use this data for research and automation.

Can I request only certain types of data?

Absolutely. We tailor the scrape to your needs — no extra noise, just what matters to you.

How does it Work?

1. Make a request

You tell us which website(s) to scrape, what data to capture, how often to repeat etc.

2. Analysis

An expert analyzes the specs and proposes a lowest cost solution that fits your budget.

3. Work in progress

We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.

4. You check the sample

If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.

Request a Quote

Tell us more about you and your project information.
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