The food delivery market is one of the most competitive and fastest-moving industries on the planet. Our food & delivery scrapers extract restaurant names, menu items, prices, ratings, delivery times, reviews, and 30+ more data points from every major food delivery platform — delivered clean, structured, and ready to use in minutes.
The global food delivery market is projected to exceed $1 trillion by 2030. Every minute, millions of food orders are placed across Swiggy, Zomato, DoorDash, Uber Eats, GrubHub, and hundreds of other platforms worldwide. The restaurants, chains, and food tech companies that win this race will be the ones making decisions backed by real data — not gut instinct.
Our food & delivery scrapers give you instant access to that data. Whether you're a restaurant chain benchmarking your menu pricing against local competitors, a food tech startup building a restaurant intelligence platform, or a market researcher analyzing cuisine trends across cities — our scrapers extract exactly what you need from every major food delivery platform in the world.
Think about the operational insight available in food delivery data that most businesses completely ignore. Which menu items are bestsellers at competing restaurants? What price point do the top-rated pizza places in your city charge for a 12-inch Margherita? What's the average delivery time for your category in a specific ZIP code? How do restaurant ratings move after menu changes? All of this intelligence is sitting publicly on food delivery platforms — and our scrapers surface it for you automatically, on any schedule you choose.
From franchise operators tracking 500+ locations to independent restaurant owners wanting to understand their local market — our food scrapers are built to scale to any size, any region, and any use case in the food and delivery industry.
From single restaurant owners to global food tech platforms — here's exactly how professionals across the food industry use our scrapers to make smarter, faster decisions every day.
Know exactly what competing restaurants in your area charge for similar dishes. Identify pricing gaps, optimize your menu for your market's price sensitivity, and make data-backed decisions about when to adjust prices, introduce value combos, or launch promotions.
Track how competing restaurants' ratings move over time. Monitor review velocity, detect sudden rating drops that signal quality issues, and mine review text to understand exactly what customers complain about most — so you can avoid making the same mistakes.
Map the complete restaurant landscape across any city, neighborhood, or delivery zone. Identify market gaps by cuisine type, price tier, or rating level. Find underserved areas where demand exists but quality supply is limited — perfect data for franchise expansion planning.
Track which dish types, cuisine categories, and dietary options (vegan, gluten-free, keto) are gaining traction on food delivery platforms. Identify menu innovations from competitor restaurants before they go mainstream and incorporate winning concepts into your own offerings.
Monitor delivery time performance across competitors and platforms in specific geographic areas. Track how delivery fees, minimum order values, and delivery radius changes affect restaurant visibility and order volumes — critical intelligence for delivery optimization strategy.
Power restaurant discovery apps, food delivery aggregators, menu comparison tools, and restaurant analytics platforms with fresh, comprehensive data from every major food delivery service — delivered via REST API or scheduled bulk exports to your data pipeline.
Our food scrapers transform raw delivery platform data into clean, structured intelligence your business can act on immediately.
Choose platform, city, cuisine type, and area radius. Filter by rating, price tier, or delivery time.
Our scraper finds all matching restaurants and builds a complete profile list — automatically.
Full menus, prices, categories, dietary labels, and item photos scraped for every restaurant found.
Data is normalized, duplicates removed, prices standardized, and currencies unified automatically.
Download as CSV/Excel, push via API, or schedule recurring runs for continuous fresh data.
Our food delivery scrapers extract a comprehensive data profile for every restaurant — from high-level platform metrics down to individual menu item details.
From street food to fine dining — our scrapers extract data across every cuisine type and food category available on delivery platforms worldwide.
Whether you need data from local apps in India or global platforms across North America and Europe — we have every major food delivery market covered.
Not sure which tool fits your workflow? Here's a side-by-side look at our most popular food & delivery scraping tools.
| Platform | Data Points | Menu Data | API | Difficulty | Starting Price | Action |
|---|---|---|---|---|---|---|
🍕Swiggy Restaurant Scraper |
30+ | ✓ Full Menu | ✓ Yes | Beginner | Free / $39/mo | View → |
🍔Zomato Restaurant Scraper |
32+ | ✓ Full Menu | ✓ Yes | Beginner | Free / $39/mo | View → |
🛵DoorDash Restaurant Scraper |
28+ | ✓ Full Menu | ✓ Yes | Beginner | Free / $39/mo | View → |
🚗Uber Eats Scraper |
26+ | ✓ Full Menu | ✓ Yes | Beginner | Free / $39/mo | View → |
🥡Deliveroo Restaurant Scraper |
24+ | ✓ Full Menu | ✓ Yes | Beginner | Free / $29/mo | View → |
🌮Talabat Restaurant Scraper |
22+ | ✓ Full Menu | ✓ Yes | Intermediate | Free / $29/mo | View → |
Find the exact food delivery scraper you need. Filter by pricing, sort by popularity, or search by platform name.
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From independent restaurant owners to global food tech unicorns — our food & delivery scrapers work at every scale across the entire food service ecosystem.
Monitor competitor menu pricing, track their ratings over time, identify their bestselling items, and understand what customers complain about in reviews. Use this intelligence to price your own menu competitively, identify menu gaps, and proactively address quality issues before they hurt your own ratings.
Monitor hundreds or thousands of outlet locations simultaneously. Track rating consistency across your franchise network, identify underperforming locations by comparing ratings against local competitors, and benchmark menu pricing across regions to ensure your franchisees are positioned correctly in each market.
Power restaurant discovery apps, food price comparison engines, menu aggregators, and delivery analytics platforms with comprehensive, real-time data from every major food delivery service. Our REST API delivers fresh restaurant and menu data exactly when your platform needs it — at the scale you're operating at.
Study cuisine trends, average delivery times, pricing dynamics, and restaurant density across cities and neighborhoods. Track which cuisine types are growing fastest, identify market saturation points, and build comprehensive food industry datasets for investment analysis, academic research, and strategic planning reports.
If you operate a food delivery platform — scraping competitor platforms gives you real-time intelligence on their restaurant coverage, pricing strategies, delivery fee structures, and promotional campaigns. Stay ahead of DoorDash, Uber Eats, and regional competitors by understanding their market moves as they happen.
Build data-backed recommendations for restaurant clients on menu pricing, market positioning, platform selection, and expansion strategy. Deliver comprehensive local market reports showing competitor landscape, average rating benchmarks, cuisine saturation levels, and pricing distributions in target neighborhoods.
Scraping publicly accessible restaurant information — menus, prices, ratings, and delivery details — that any visitor can see without logging in is broadly considered legal in most countries. Multiple court precedents, including the hiQ v. LinkedIn ruling, have upheld the legality of collecting publicly available data. Food delivery platforms do have Terms of Service that restrict automated access, so we recommend reviewing the specific ToS for your intended use case and consulting legal counsel if needed. Our scrapers exclusively access public-facing data.
Yes. Our scrapers support geographic filtering by city, neighborhood, ZIP code, postal code, and delivery radius distance. You can also filter results by cuisine type, rating range, price tier, delivery time, and open/closed status. This means you get precisely the competitive landscape data you need — without irrelevant restaurants from other areas cluttering your dataset.
Yes. Our food scrapers extract complete menus including every category, every item name, description, individual price, dietary labels (vegetarian, vegan, gluten-free, halal), allergen information where available, bestseller and popular tags, portion size details, and food photography URLs. This is the most complete menu intelligence dataset available from any food scraping platform.
Professional plans support scheduling as frequently as every hour. This is particularly useful for monitoring time-sensitive data like active promotions (which often change throughout the day), current open/closed restaurant status, real-time delivery time estimates, and dynamic pricing on platforms that surge-price during peak hours. Enterprise plans support even more frequent monitoring with custom intervals.
Yes. Our scrapers extract customer review data including overall restaurant rating, food quality rating, delivery rating, packaging rating, individual review text, reviewer name, review date, helpful votes, and review photo URLs where available. This review data is invaluable for sentiment analysis, identifying common complaints, and understanding what drives positive vs negative reviews in your specific cuisine category and market.
Yes. You can set up parallel scraping jobs for multiple cities, countries, or platforms running simultaneously. All results are delivered in a unified, normalized dataset with consistent field names and currency standardization. This is particularly powerful for restaurant chains and food tech companies needing to monitor multiple markets at once, or for market research covering regional cuisine trends across geographies.
Professional plans support up to 50,000 records per month with no per-job limits. A typical city-level restaurant scrape (e.g., all Indian restaurants on Zomato in Mumbai) might return 500–5,000 restaurants with full menus. Enterprise plans are fully unlimited and support concurrent jobs across multiple platforms and cities running simultaneously with dedicated infrastructure for maximum speed.
Join 5,800+ restaurant operators, food tech companies, and market researchers already using MyDataScraper's food delivery tools. Get your first 1,000 restaurant records completely free — no credit card, no commitment.