Hotel Data

The hotel data is one table with a row per property. Its columns fall into eight groups, from coordinates to monthly change history. This page summarises each group; the linked pages list the columns and show what the sample contains.

Places to stay
5.8 million
Hotels
2.6 million
Countries
250 countries and territories
Updated
Monthly
History since
January 2025
Formats
CSV, Excel (.xlsx), Google Sheets
Latest release
2026-10

Location and address

Coordinates in WGS84 decimal degrees, the full address split into parts and on one line, and the time zone. Every row has a stable Lodgingeo ID, ld_id, which stays the same from one monthly release to the next.

Key columns: latitude longitude street_address postal_code formatted_address timezone. Location and neighbourhood data.

Contact details

Business contact details as published by each property: phone in international format, website and domain, chain and brand, and in the full dataset email, WhatsApp and social profiles.

Key columns: phone website domain brand. Hotel contact details.

Prices across booking sites

For each hotel, the nightly offer on each booking site that lists it, the lowest offer, the offer on the hotel's own website, and the gap between the two. Rates are captured every month, so each hotel also has a rate history.

Key columns: hotel_rates_by_site lowest_offer_latest direct_vs_lowest_ota_pct rate_history_by_month. Hotel prices by booking site.

Building polygons

The footprint of the building each hotel is in, as a WKT MULTIPOLYGON in WGS84, with its area and a grade from A to E for how confidently it matches the hotel.

Key columns: building_polygon_wkt building_area_m2 building_match_grade polygon_source. Hotel building polygons.

Details and amenities

Star class, guest rating, review count and the distribution of reviews by star, check-in and check-out times, amenities available and unavailable, attributes and languages spoken.

Key columns: hotel_class rating review_count amenities. Hotel details and amenities.

Neighbourhood

What is around each hotel within 3 km: the nearest place of each service type and its distance, counts of places by group and radius, other lodging nearby, and places that opened or closed.

Key columns: nearest_<service> count_<group>_3km places_within_500m nearby_lodging_*. Neighbourhood data.

History and changes

Monthly releases since January 2025 are compared with each other, so every hotel has a first-seen month, a last-confirmed month, a closed month where it closed, and a timeline of changed facts.

Key columns: first_seen_month closed_month name_history facts_change_timeline. Hotel history and changes.

List matching

When you send your own hotel list, each of your rows is matched to a Lodgingeo place and returned with all of the columns above, a name score, a city score and a match tier.

Key columns: name_score city_score confidence match_tier. Hotel list matching.

See it in the free sample

The Excel sample has 250 real hotel rows with these columns. Enter your name and work email to get the link.

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