42 restaurant brands, one daily source of truth.
Powering Restaurant Intelligence Across 42 Restaurant Brands
Overview
What the client needed — and what we run today.
A restaurant intelligence company needed one reliable, structured source of restaurant data across 42 brands and food delivery platforms — locations, menus, pricing, availability, hours and more — standardised and refreshed every single day. We designed and operate the data collection platform behind it. It has run in production for years, delivering fresh restaurant intelligence daily as the market constantly changes.
- Industry
- Restaurant Intelligence
- Service
- Enterprise Web Data Extraction
- Duration
- Multi-year, ongoing
- Status
- Live in production
The challenge
One live source of truth, across a market that never stops changing.
The client's business depended on always-current restaurant data. But restaurant information never sits still — and keeping it accurate across 42 brands by hand was impossible.
No single source of truth
Restaurant data was scattered across 42 brands and multiple platforms, each structured differently. The client needed it unified into one consistent source.
Information that never sits still
Menus evolve, prices change and promotions come and go — often daily. Data captured once is quickly out of date.
Stores open, close and move
Locations open, close and relocate constantly, so coverage has to be continuously re-verified — not captured once and forgotten.
Shifting delivery coverage
Delivery areas, fees and availability change frequently and vary by location, adding another constantly moving dimension.
Standardising 42 distinct brands
Every brand presents its information differently. Turning that into one clean, comparable structure is a challenge in itself.
Daily freshness at scale
All of this had to be current every single day, across the entire estate — a scale no manual process could ever sustain.
Our approach
Engineered for scale, built to be maintained.
We became the client's long-term data engineering partner, not a one-off vendor. The goal was a platform that keeps all 42 brands accurate and standardised every day, and stays reliable as the market changes — described here by what it achieves, never how it works internally.
Fully automated collection
We designed a scalable data collection platform that continuously monitors all 42 restaurant brands, removing manual effort entirely.
Built to scale
The platform scales across brands, locations and regions without re-engineering, so growth is routine rather than disruptive.
Continuous monitoring
We monitor every source continuously, so change is detected early — before it can affect the data the client depends on.
Automated validation
Every daily run is checked for completeness and accuracy, so any issue surfaces to us as an alert — not to the client as bad data.
Data normalisation
Data from 42 differently-structured brands is normalised into one consistent, comparable schema, ready to use on arrival.
Long-term maintenance
As restaurant platforms evolved over time, our pipelines adapted to maintain uninterrupted daily delivery — for years.
Key capabilities
The full picture of a restaurant brand.
One platform captures the full picture of a restaurant brand — the structured data the client's products are built on.
Locations & hours
Every location, with addresses, geodata and operating hours, kept current as stores open and close.
Menus & items
Full menus down to individual items and sub-menus, with product-level detail across the estate.
Pricing
Item-level pricing captured and tracked consistently as it changes over time.
Availability & delivery
Product availability plus delivery information and coverage, captured per location.
Ratings & signals
Ratings and review signals where available, adding market context to the core data.
Store metadata
The surrounding metadata that ties every record cleanly to the right brand, store and location.
Results
Years of complete, standardised, daily delivery.
The result is a single, dependable source of restaurant intelligence — standardised, complete and refreshed every day, at a scale that has held steady for years.
Business impact
From a data problem to a durable advantage.
Reliable, unified restaurant intelligence turned a constant data problem into a lasting operational advantage.
Centralised intelligence
One clean, unified source of restaurant data — instead of dozens of fragmented, inconsistent ones.
Faster decisions
Current, structured data lets the client's teams decide and act faster, with confidence in what they're seeing.
Less manual research
By automating collection and maintenance, we removed an enormous manual research burden from the client's team.
Consistent datasets
A standardised schema every day keeps the client's own products and analytics stable and dependable.
Better market visibility
A complete daily view across all 42 brands gives the client visibility no manual process could match.
Operational efficiency
Reliable daily updates keep the whole operation running smoothly, without constant firefighting.
Timeline
From first scope to years in production.
- DiscoverProject start
Scoping restaurant intelligence at scale
We mapped the brands, data types and daily freshness the client needed across the restaurant and food-delivery landscape.
- BuildEarly months
Building the platform & first daily delivery
We built an automated collection platform and began delivering standardised restaurant data, validated for completeness from day one.
- ScaleRamp-up
Expanding across all 42 brands
We scaled coverage across all 42 brands and thousands of locations, stabilising complete daily delivery across the estate.
- AdaptOver the years
Evolving as the market changed
As brands and platforms changed how they present their information, our pipelines adapted to keep delivery uninterrupted.
- OperateOngoing
Continuous production operation
The platform runs as a monitored, maintained service today, delivering fresh restaurant intelligence every single day.
Future scalability
Built to grow with the client.
The platform was built to grow. Adding brands, regions or new data types is routine — the architecture scales without re-engineering, so the client's data can expand as fast as their business does.
More brands & regions
New brands and geographies slot into the existing platform, so coverage grows without disruption.
New data types
Additional data points can be added to the standardised schema as the client's needs evolve.
Growth without re-architecting
Because scalability was designed in from the start, volume can grow substantially without rebuilding anything.
Related case studies
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Have a data problem at this scale?
Tell us the source and the data you need. We’ll give you an honest read on whether we can reach it — and how we’d keep it reliable, at scale, for years.