Dataset: New Glovo restaurants in Italy
- Daily updates across Italian regions
- Complete Glovo venue contact details
- Normalized cuisine and chain profiles
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What the New Glovo restaurants in Italy dataset contains
Every record delivers a fully normalized profile of freshly onboarded Italian venues, including public contact details, cuisine types, and exact coordinates. This structured intelligence allows account executives to instantly target newly listed locations without manual data cleaning.
| Venue Name | Municipality | Cuisine Taxonomy | Chain Status | Cross-Match Rating | Discovered | ... |
|---|---|---|---|---|---|---|
| Trapizzino | Roma | Fast Casual | Regional | 4.8 / 5 | 14min ago | •••••• |
| Pokèria by NIMA | Milano | Poke / Hawaiian | Franchise | 4.3 / 5 | 3hr 42min ago | •••••• |
| Osteria della Pescheria | Cervia | Seafood | Independent | 4.7 / 5 | today 11:05 | •••••• |
| Burger Wave | Torino | American | Regional | 4.1 / 5 | yesterday | •••••• |
| Ichi Station | Milano | Japanese / Sushi | Independent | 4.6 / 5 | 2 days ago | •••••• |
24h
Dataset refresh and delivery cadence
We capture and structure newly listed venues on a daily basis. Your sales team gets actionable leads while the locations are still establishing their delivery presence.
100%
Italian regional and city coverage
The dataset tracks additions across all active municipalities where this delivery platform operates. You maintain total visibility over both metropolitan hubs and emerging suburban zones.
99%
Match rate across external sources
Each newly discovered location is cross-referenced with public search engines and social profiles. This enrichment process provides your team with accurate contact information for immediate outreach.
Zero
Manual data cleaning steps required
All venue names, addresses, and categorization tags arrive fully standardized for your internal systems. Your business intelligence unit can deploy the data immediately into existing dashboards.
FAQ
Questions we get from strategy leaders
These are the core operational questions we answer for enterprise teams evaluating this dataset.
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