Competitor menu and pricing data intelligence for Restaurant Chains
Trusted by Fortune 500.
Get real-time data from all restaurant chains.
Comprehensive intelligence for restaurant chains
Track competitor pricing, monitor your visibility across platforms, and map delivery coverage gaps. Everything your data and BI teams need to make faster, better-informed decisions.
Real examples of how we help restaurant chains stay ahead of the competition
From product-level price monitoring in Europe to delivery platform intelligence in the Middle East and competitor tracking across 30+ global markets, we give pricing, strategy and data teams at enterprise restaurant chains the intelligence they need to act with confidence.
How a Global Restaurant Chain Monitors Competitor Presence Across Delivery Platforms
A global restaurant chain operating across 30+ markets needed a single, consistent view of how competitors behave on third-party delivery platforms. Where they deliver, how visible they are, and what they charge. Without that picture, pricing and strategy decisions were being made market by market, with no way to spot global patterns or react to competitive moves fast enough to matter.
Areas of collaboration:
- Delivery zone intelligence - competitor coverage mapped across all active markets, with boundary changes tracked over time to identify expansion patterns and uncovered neighborhoods
- Visibility monitoring - ranking positions tracked across delivery platforms at peak and off-peak hours, showing exactly how competitor promotions affect their visibility and where the client has an edge
- Price tracking across platforms - product-level competitor pricing monitored across all markets and platforms, with alerts on price changes and historical trends to inform global and local pricing decisions
How a Global Restaurant Chain Monitors Competitor Presence Across Delivery Platforms
A global restaurant chain operating across 30+ markets needed a single, consistent view of how competitors behave on third-party delivery platforms. Where they deliver, how visible they are, and what they charge. Without that picture, pricing and strategy decisions were being made market by market, with no way to spot global patterns or react to competitive moves fast enough to matter.
Areas of collaboration:
- Delivery zone intelligence - competitor coverage mapped across all active markets, with boundary changes tracked over time to identify expansion patterns and uncovered neighborhoods
- Visibility monitoring - ranking positions tracked across delivery platforms at peak and off-peak hours, showing exactly how competitor promotions affect their visibility and where the client has an edge
- Price tracking across platforms - product-level competitor pricing monitored across all markets and platforms, with alerts on price changes and historical trends to inform global and local pricing decisions
The data and use cases built for restaurant chains
Whether you are benchmarking competitor pricing, tracking your visibility across platforms, or mapping delivery coverage gaps, we structure our data around the decisions restaurant chains actually face. Explore the datasets we collect, the use cases your teams can act on, and the APIs we cover - both for delivery platforms and individual restaurant chains.
Enterprise-grade food data intelligence, built for scale
From the technology we own to the way we work with clients, every part of FoodDataLab is built to meet the standards that the world's leading food delivery platforms demand.
Multi-Layer QA
In-House Proxy Network
ML-Powered Matching
High-Frequency
Mobile Apps Data
Full-stack Infrastructure
Multi-Layer QA
In-House Proxy Network
ML-Powered Matching
High-Frequency
Mobile Apps Data
Full-stack Infrastructure
What we collect, so your team does not have to
Every competitor data point that matters to pricing, strategy and data teams at enterprise restaurant chains. Collected at high frequency across all major delivery platforms, matched across sources, and delivered clean enough to act on immediately.
- Venue Name - The official name of the restaurant, store, or venue as displayed on the platform or Google Maps.
- Venue Category / Listing Type - Standardized classification of the venue (e.g., Restaurant, Retail, Grocery, Cafe, Bar).
- Virtual Brand / Dark Kitchen - Boolean flag indicating if the venue is a virtual brand (operating only in delivery apps without a physical dine-in storefront).
- Venue Chain / Franchise - The name of the restaurant chain the venue belongs to, if applicable.
- Contact Information - Venue's phone number (with country code) and email address (if publicly available).
- Organization / VAT ID - Official organization name, often determined from the venue's VAT ID or business registry.
- URLs & External Links - Direct links to the venue's profile on delivery apps, internal website, Google Maps, and Social Media profiles.
- Venue Description - Brief editorial summary describing the venue's offerings, specialty, or history.
- System Identifiers - Unique IDs including Group ID (correlating identical venues across different apps like Wolt/Glovo), Platform Source ID, Google Place ID, and CID.
- Exact Coordinates - Precise Latitude and Longitude of the venue.
- Full Address Details - Complete street address, city, country, district, and neighborhood.
- H3Geo Location - Highly precise spatial index (H3 format, resolutions 8 & 9) for advanced mapping and regional analytics.
- Geocoded / Normalized Address - Reverse-geocoded city, country, and address data used to fill in missing location gaps and standardize formats.
- Delivery Area / Cluster - Name of the specific delivery zone, custom cluster, or administrative city code the venue belongs to.
- User Distance - Normalized distance (in meters) from a specific user location pin to the restaurant.
- Live Open Status - Real-time flag indicating if the venue is currently OPEN, TEMPORARILY CLOSED, or PERMANENTLY CLOSED.
- Opening Schedule - Comprehensive weekly schedule with exact intervals (start/end times in minutes from midnight) for each day (e.g., MONDAY).
- Schedule Type - Distinction between physical storefront opening hours ("STORE") and actual delivery availability hours ("DELIVERY").
- Delivery Availability - Flag determining if the venue is actively accepting delivery orders, or if delivery is unavailable (forcing pick-up).
- Pick-Up / Dine-in Availability - Shows if the venue supports order pick-up, takeaway, or table service (Dine-in).
- Dispatch Type (Courier Info) - Crucial information stating whether deliveries are fulfilled by the platform's couriers ("PARTNER") or the restaurant's own drivers ("OWN DELIVERY").
- Delivery Time (ETA) - Advertised Minimum and Maximum estimated delivery times (in minutes).
- Delivery Range - The lower and upper geographical bounds (radius) of the delivery area.
- Preorder Availability - Flag indicating if the venue only accepts scheduled orders for a future time.
- Advertised Delivery Fee - The standard, visible base delivery fee presented to the user.
- Promotional Delivery Fee - The discounted delivery fee currently active due to a promotion.
- Free Delivery Threshold - The exact basket value required for the user to unlock free delivery.
- Hard Minimum Order Value (MOV) - The absolute minimum basket value required to place any order.
- Soft Minimum Order Value (MOV) - The basket value threshold displayed to the user before an additional surcharge is applied to the order.
- Price Range Data - Price bucket classification (e.g., ""€10–20"", ""), including the percentage of users reporting this price level.
- Cuisine Tags & Categories - List of dietary categories and cuisine types associated with the venue (e.g., Pizza, Vegan, Gluten-Free, Italian).
- Item Name & Description - Exact name and detailed ingredient description of every single menu item.
- Item Price - Current price of the menu item on the source platform.
- Menu Sections - Categorization of items within the menu (e.g., "Appetizers", "Main Courses", "Beverages").
- Menu Visuals / Images - Direct URLs to item photos, plus flags indicating whether a specific item has an image available.
- Menu Statistics - Aggregated counts of total menu items, items with images, and items with descriptions (useful for assessing menu quality).
- Specific Offerings - Granular service attributes (e.g., serves alcohol, serves vegetarian food, serves breakfast).
- Average Rating - The average user rating (normalized to a 0-10 or 1-5 scale depending on the platform).
- Review / Rating Count - The total volume of ratings or reviews (e.g., "1500+", "250 reviews").
- Promotions & Banners - Text of active, venue-based promotional banners (e.g., "Buy One Get One Free", "20% Off Main Courses").
- Item-Level Promotions - Specific discounts applied directly to individual menu items.
- Sponsored Status - Boolean flag indicating whether the venue has paid for a sponsored/boosted placement on the listing page.
- Social Media Followers - Total number of followers on the venue's social network accounts (SNS).
- Popular Times (Foot Traffic) - Hourly array data (0-100 scale) representing physical foot traffic and popularity peaks per day of the week (sourced from GMaps).
- Scrape Timestamps - Exact ISO8601 timestamps detailing when the venue was first discovered, and when the data was most recently updated.
- CRM Lead Data - "Is New Lead" flag, alongside mapped Salesforce Account IDs and Lead IDs for seamless CRM integration.
- Source Platform - The origin of the data (e.g., Wolt, Glovo, UberEats, GMaps, specific SNS).
From understanding your needs to delivering data
Four steps from defining your competitive intelligence needs to having clean, matched restaurant data flowing directly into your pricing and analytics workflows.
Discovery call
Proof of Concept
Onboarding
Ongoing delivery
See what we have on your competitors
Tell us your markets and we will show you exactly what the data looks like before any commitment.
- Free proof of concept for your target market
- Delivered in your preferred format
- No contract until you are satisfied
Need an NDA first? Just mention it in the form - we're happy to sign.