Skip to content

Verno POI Data

POI and location data built on real administrative boundaries from OpenStreetMap. Multi-source verified. Available in CSV, JSON, or Parquet. Self-service platform launching soon. Data requests are currently handled by email, typically within two to three business days.

www.vernointel.com
Verno
Dashboard
Jobs
Billing
Profile
Settings

Dashboard

Welcome back

New Search
Total Searches

24

Active Jobs

2

Downloads

18

Recent Jobs
Berlin, DERestaurants
4,231Completed
Munich, DEOpticians
342Completed
Hamburg, DEPharmacies
618Completed
Vienna, ATHearing Aid Stores
...In Progress
Verno
Dashboard
Jobs
Billing
Profile
Settings

Create New Search

Submit a data request for a city and category

e.g., Bavaria
Select country
Select category

Request queued

Berlin is being processed

Verno
Dashboard
Jobs
Billing
Profile
Settings

Berlin, Germany

Restaurants · Completed

Completed
Total Results4,231
Processing Time12 min
Export CSV
Export JSON
Export Excel
NameCategoryRatingReviewsAddressPhone
Berliner KindlRestaurant3.548210 Friedrichstr.+49 30 1000000
Curry 36Imbiss3.625511 Kantstr.+49 30 1073421
Mustafa's GemüseCafé3.732912 Oranienstr.+49 30 1146842
Konnopke's ImbissBar3.824913 Torstr.+49 30 1220263
BurgermeisterBistro3.98814 Sonnenallee+49 30 1293684
Monsieur VuongRestaurant4.051315 Friedrichstr.+49 30 1367105
Cocolo RamenImbiss4.131316 Kantstr.+49 30 1440526
Markthalle NeunCafé4.225617 Oranienstr.+49 30 1513947
Doyum GrillhausBar4.317218 Torstr.+49 30 1587368
Zur Letzten InstanzBistro4.449219 Sonnenallee+49 30 1660789
BorchardtRestaurant4.551120 Friedrichstr.+49 30 1734210
CODA Dessert BarImbiss4.615621 Kantstr.+49 30 1807631
Standard PizzaCafé4.722322 Oranienstr.+49 30 1881052
Nobelhart & SchmutzigBar4.87223 Torstr.+49 30 1954473
Katz OrangeBistro4.915424 Sonnenallee+49 30 2027894
La Soupe PopulaireRestaurant3.526325 Friedrichstr.+49 30 2101315
AlpenstückImbiss3.634826 Kantstr.+49 30 2174736
Pauly SaalCafé3.725427 Oranienstr.+49 30 2248157
Eins44Bar3.824928 Torstr.+49 30 2321578
Lode & StijnBistro3.943129 Sonnenallee+49 30 2394999

Download Complete

berlin_restaurants.csv

4,231 records

A preview of the self-service platform. Data requests are currently handled by email, typically within two to three business days.

Six modules per location

Every record follows the same schema. Stable identifiers, precise coordinates, documented data provenance. Every module is designed for auditability.

Identification

Stable Verno ID, name, and operational status per location.

Location

WGS84 coordinates, structured address, and geocoding precision.

Categorization

Primary category and supplementary tags per location.

Reputation and price level

User rating, sample size, and price level.

Contact and verification

Phone, website, and verification URL per location.

Data provenance and freshness

Data source, verification date, and schema version.

What a record looks like

An anonymized example with all six modules.

POI RECORD — EXAMPLE

--- Identification

verno_idvno_4f8c2d1a7b3enameCafé Beispielstatusactive

--- Location

latitude51.3397longitude12.3731addressPetersstraße 12postcode04109localityLeipzigcountry_codeDEgeocoding_accuracyrooftop

--- Categorization

types_primarycafecategory_tagscafe, food, point_of_interest

--- Reputation and price level

rating4.5user_ratings_total287price_level2price_categorymoderate

--- Contact and verification

phone+49 341 XXX XXXXwebsitecafe-beispiel.degoogle_maps_urlmaps.google.com/?cid=...

--- Data provenance and freshness

sourcegoogle_placeslast_verified_at2026-06-15schema_version1.0.0

Delivered as CSV, JSON, GeoJSON, or Parquet. Schema and field descriptions are versioned and included with every delivery.

Modules for opening hours, building geometry, and demographic enrichment are planned for upcoming schema versions. Existing fields remain backward-compatible.

API access is in development.

Real boundaries.

Data follows actual city, district, and administrative boundaries from OpenStreetMap, not map tiles.

Verified entries.

Every data point is cross-checked against multiple sources before delivery.

Standard formats.

Delivered as CSV, JSON, or Parquet. Schema and fields documented upfront.

Pricing currently depends on city and scope of the request. A self-service platform with transparent per-dataset pricing is in preparation.

To request data, send a short email with the city, category, and desired format. Get in touch →

Need reliable POI data?