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Spainhospitality

Tourist apartments — Spain

Directory of tourist apartments in Spain : company name, address, postal code, city, autonomous community, website. Source: OpenStreetMap `tourism=apartment`. ~920 appartements — strong coverage in tourist areas (Catalunya, Andalucía, Canarias, Illes Balears). Complémentaire de hotels-es pour la coverage hospitality intégrale. Target PMS appart-hotels, channel managers, platforms Airbnb professionnelles, services conciergerie.

What's inside

  • Clean schema

    Clean column set documented in the bundled README. Stable across refreshes — no breaking changes mid-quarter. Includes IDs, registry numbers, address, and locality fields appropriate to each pack.

  • Refreshed monthly

    Each pack is regenerated from source registries every month. Subscribers get the latest CSV automatically.

  • GDPR-clean

    Public data only — official registers (INSEE, KBO) and Bar Council directories. B2B re-use under GDPR legitimate-interest basis (Art 6.1.f). Right-of-objection notice included; any opt-out received by the buyer must be honored.

  • CSV, UTF-8

    Comma-separated, properly quoted. Imports cleanly into Salesforce, HubSpot, Pipedrive, Excel and any data-warehouse loader.

Sample (first 5 rows)

Full pack contains 1,028 rows.
idlegal_nameregistration_numberstreetpostal_codecityregioncountrynace_codeemployee_bandfounded_yearwebsitephoneemail
apt-es-osm-n21947483apartment (sans nom)—Calle del Calvario 1528012MadridMadridES55.20—————
apt-es-osm-n483569116Apartamentos San Fermín—Iruñea kalea 4501010Vitoria-GasteizPaís VascoES55.20——apartamentossanfermin.com—info@apartamentossanfermin.com
apt-es-osm-n845029526Apartamentos Don Palomón—Calle Milan 735100Playa del InglésCanariasES55.20——apartamentosdonpalomon.com+34928761175—
apt-es-osm-n845029785Apartamentos Nara—Calle Bremen 435100San Bartolomé de TirajanaCanariasES55.20——apartamentosnara.com+34 928 761751—
apt-es-osm-n942629173Rental Room Rioseco—Calle San Juan 3647800—Castilla y LeónES55.20—————

License — quick read

  • Use the dataset inside your organization for any lawful purpose.
  • Build and sell derivative analyses (lead lists, market reports).
  • Do NOT redistribute the raw CSV under another brand.
  • Do NOT train an AI model with the sole purpose of recreating a competing dataset.

Full terms: Terms of service.