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.
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.
The Zomato scraper focuses on collecting structured restaurant and food-related data directly from the platform. We extract:
This core data is valuable for market research, local discovery platforms, competitive analysis, and building up-to-date food directories.
When you scrape Zomato, you can go beyond the surface-level listings. We also collect:
These additional layers reveal how users interact with restaurants and what differentiates top-performing venues in each area or cuisine.
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.
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Developers
Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for Zomato — faster and cheaper than building a solution from scratch.
Data limits (rows): up to 10%
Iterations: up to 3
Custom requirements: Yes
Data lifetime: up-to-date
Data quality checks: Yes
Delivery deadline: 1-2 working days
Output formats: CSV, JSON, XLSX
Delivery options: e-mail
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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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.
Yes — restaurant listings and contact info can help target local leads in food, delivery, or B2B services.
A web scraper can extract names, menus, prices, reviews, addresses, and more — all structured and ready to use.
We only do ethical data scraping — from public pages, without violating platform rules or accessing private data.
Marketing firms, food delivery apps, POS systems, and location-based services use this data for research and automation.
Absolutely. We tailor the scrape to your needs — no extra noise, just what matters to you.
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.
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