A client needing a clean map of UK hospitality businesses listed on the main food delivery apps.

Use Case

Market sizing, territory planning and partner targeting

Region

United Kingdom

Sources

Just Eat, Uber Eats, Deliveroo

Number of sources

Venue Listings

Postcode by Postcode

Cross-Platform

De-duplicated

Chains vs Independents

Flagged

Contact Sales

Key Takeaways

Actowiz Solutions built UK restaurant listings data for a UK hospitality POS provider. We collected public venue listings from Just Eat, Uber Eats and Deliveroo using a postcode grid, merged duplicates across the three apps, flagged chains versus independents and tagged grocery and convenience stores. The output is one clean venue list for market sizing and territory planning.

What did the client need?

The client sells point-of-sale systems to restaurants, takeaways and small food stores. Its sales team needed to know how many such businesses exist in each UK area.

Delivery apps are a good proxy for the active hospitality market, so the client asked for UK restaurant listings data from all three. Scope was public business listing fields only, with no personal data. Chains had to be flagged so the team could focus on independents.

What made this hard?

Three apps, three taxonomies. Just Eat, Uber Eats and Deliveroo each use their own cuisine labels, so categories had to be mapped to one shared list.
The same venue appears more than once. Many takeaways list on two or three apps under slightly different names, which would inflate the count.
Listings depend on the postcode searched. Apps show only venues that deliver to the address entered, so a full UK view needs a postcode grid, not a few city centres.
Chains mixed with independents. Every venue needed a chain flag checkable against the client's exclusion list.
Not every listing is a restaurant. Grocery and convenience stores share the same apps.
A moving market. Venues open, close and switch apps often. Each record is dated.

How did Actowiz solve it?

We built one venue universe from three public sources, not three separate scrapes.

Approach

Postcode-grid collection. Searches ran across a UK postcode grid on each app, covering towns and suburbs, not just cities. Overlapping zones were merged by venue ID.
Sample first, then full run. Samples from all three apps went to the client first, so it could check fields and share its chain exclusion list.
Cross-platform de-duplication. Venues were matched by cleaned name, postcode and map distance. Each match gets one master ID and a list of the apps it appears on.
One category map. Platform cuisine tags were mapped to one shared list.
Chain and store flags. Brand rules plus the client's list flag chains; stores are tagged separately.
Public data only. Public listing fields only, no logins, no personal data.

Data Attributes / Fields

Field	Description
venue_master_id	Actowiz ID after cross-platform matching
venue_name	Business name as listed, plus a cleaned version
address_postcode	Address, UK postcode and coordinates where shown
category	Shared category plus original platform tags
platforms_listed	Which of Just Eat, Uber Eats and Deliveroo list the venue
platform_url	Public listing URL on each app
rating	Average customer rating per app
review_count	Number of ratings or reviews per app
delivery_available	Delivery and/or collection offered, with opening hours where public
chain_flag / store_type	Chain or independent; restaurant, takeaway or grocery/convenience

What were the results?

One UK venue list instead of three. A single de-duplicated file of venues replaces overlapping app exports.
Independents ready for targeting. Chains drop out with one filter, leaving independents for the sales team.
Territory view by postcode. Venue counts roll up by postcode area and region.
Multi-app signal. platforms_listed shows which venues use one, two or three apps.
Fast hand-off. Full dataset turnaround delivered on schedule.

Project at a Glance

Metric	Value
Use Case	UK hospitality market sizing, territory planning and partner targeting
Region	United Kingdom (postcode-grid coverage)
Sources	Just Eat, Uber Eats, Deliveroo
Metrics	Venue counts, category, rating, reviews, delivery availability, apps listed
Reconciliation / Method	Name + postcode + geo matching; shared category map; chain and store flags
Cadence	Sample datasets, then full UK run; refresh on request
Output	CSV / Excel venue file with one row per unique venue and per-platform columns

Client Feedback

“We needed to know how many hospitality businesses exist in each UK area, without counting the same takeaway three times. Actowiz delivered one clean venue list with chains flagged — exactly what our sales team needed.”

— Head of Sales Operations, UK Hospitality POS Provider

Frequently Asked Questions

Q: What UK restaurant listings data can you collect from Just Eat, Uber Eats and Deliveroo?

A: Public business fields: venue name, address and postcode, category, rating, review count, platform URL, delivery availability and opening hours where shown. No personal data or owner contacts.

Q: How do you avoid counting the same restaurant twice?

A: We match venues by cleaned name, postcode and map distance. Each match gets one master ID and a list of the apps it appears on.

Q: Can you separate chains from independent takeaways?

A: Yes. Chains are flagged with brand-name rules and your own exclusion list. Grocery and convenience stores are tagged separately.

Q: Is collecting delivery app listing data legal?

A: We collect only public business information, respect platform terms, never bypass logins and exclude personal data. This is not legal advice.

Need UK Restaurant Listings Data?

Ask for a free sample, or see our Just Eat, Deliveroo UK, Uber Eats, food delivery app scraping and food delivery intelligence pages. Visit actowizsolutions.com to discuss your data requirement.

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