How to Scrape Food Delivery Data for Competitive Intelligence

Food delivery platforms are packed with valuable public data — from menu prices to customer reviews. Whether you're a business owner, data analyst, or developer, the ability to scrape food delivery data gives you access to real-time insights that can support smarter decisions and product strategies.

Why Scraping Food Delivery Data Matters

Data from platforms like ShopeeFood, GrabFood, GoFood, and others helps businesses:

• Track and compare pricing across competitors
• Analyze customer feedback and popularity of dishes
• Monitor delivery fees and service availability in different areas
• Understand market trends across locations and cuisines
• Power apps or dashboards with live restaurant and menu listings

This kind of data supports operations in sectors like F&B, logistics, market research, and local commerce.

What You Can Extract

The typical food delivery dataset includes:

• Restaurant names and addresses
• Menu items and categories
• Item prices, discounts, and availability
• Delivery time estimates and fees
• Ratings, reviews, and customer photos
• Hours of operation and service zones

This data can be localized by city, neighborhood, or even pinned geolocation.

Scraping Challenges You Might Face

Scraping food delivery data is rewarding, but not without its challenges:

• JavaScript-heavy platforms that need rendering tools
• Geo-restricted content based on IP or GPS
• Anti-bot mechanisms like rate-limiting or CAPTCHAs
• Frequent layout changes due to app updates

Handling these issues requires a smart scraping setup, proper error handling, and rotating proxies.

Tools You Can Use to Scrape

Many developers use:

• Requests, BeautifulSoup, or Selenium for basic tasks
• Playwright or Puppeteer for interacting with dynamic sites
• Rotating proxy services to avoid bans
• Headless browsers to simulate user activity

However, building and maintaining this infrastructure takes time and effort.

Let MrScraper Handle It for You

If you need a reliable solution to scrape food delivery data at scale, MrScraper is here to help.

We support data extraction from platforms like ShopeeFood, GrabFood, GoFood, and others. Our tools are built to:

• Rotate proxies and bypass geo-blocking
• Handle headless browsing and JavaScript rendering
• Deliver clean, structured data in JSON or CSV
• Scale across multiple cities or countries

Whether you're benchmarking prices or building your own food delivery comparison tool, MrScraper has the infrastructure to support your goals.

Conlusion

Scraping food delivery data opens up countless possibilities—from pricing intelligence to customer sentiment tracking. While the process comes with technical hurdles, you don’t have to solve them alone. With MrScraper, you get fast, accurate, and scalable data collection—without the headache.

Explore more at MrScraper.com and tell us what kind of food delivery data you’re looking for—we’ll take care of the rest.