Italian Hospitality Lead Qualifier avatar

Italian Hospitality Lead Qualifier

Pricing

from $15.00 / 1,000 qualified italian hospitality leads

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Italian Hospitality Lead Qualifier

Italian Hospitality Lead Qualifier

Find Italian hotels, B&Bs and restaurants with public commercial opportunity signals: weak/broken website, missing booking CTA, missing WhatsApp/socials, public contacts, and outreach-ready sales angles.

Pricing

from $15.00 / 1,000 qualified italian hospitality leads

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Matteo

Matteo

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3 days ago

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Find Italian hotels, B&Bs, guest houses, and restaurants with public commercial opportunity signals: broken or weak websites, missing booking CTAs, missing WhatsApp/social links, public contacts, and outreach-ready sales angles.

This Actor is designed for web agencies, hospitality marketing consultants, local SEO providers, booking engine vendors, and CRM/lead-generation teams that need more than a raw list of businesses.

What it does

Given one or more Italian locations, or a direct inputBusinesses list, the Actor:

  1. accepts known business websites from a CRM, Google Maps export, spreadsheet, or manual list;
  2. optionally discovers public hospitality businesses from OpenStreetMap/Overpass;
  3. filters businesses with a public website;
  4. audits the website homepage and likely contact/about/booking pages;
  5. extracts public emails, phones, and social links when visible;
  6. detects commercial opportunity signals;
  7. returns a qualified lead with an opportunityScore and concrete salesAngles.

The inputBusinesses mode is recommended when you already have target accounts and want scoring/enrichment rather than public discovery. It also avoids depending on public Overpass availability.

Use cases

  • Build prospect lists for hospitality web design outreach.
  • Find hotels/B&Bs with broken or outdated websites.
  • Find restaurants without WhatsApp/social/booking CTAs.
  • Enrich local business CRM records with public website weakness signals.
  • Prioritize outreach by concrete sales angle instead of generic scraping.

Input example

Discover by location

{
"locations": ["Rimini", "Sorrento", "Desenzano del Garda"],
"businessTypes": ["hotel", "guest_house", "restaurant"],
"maxPlacesPerLocation": 100,
"maxBusinessesToAudit": 50,
"minOpportunityScore": 35,
"includeContactExtraction": true,
"includeWebsiteAudit": true,
"language": "it"
}

Audit your own business list

{
"inputBusinesses": [
{
"businessName": "Hotel Nice",
"category": "hotel",
"location": "Sorrento",
"website": "http://www.hotelnicesorrento.com/"
}
],
"locations": [],
"maxBusinessesToAudit": 50,
"minOpportunityScore": 35
}

Output fields

Each dataset item includes:

  • businessName
  • category
  • location
  • address
  • phone
  • website
  • normalizedWebsite
  • publicEmails
  • publicPhones
  • socialLinks
  • statusCode
  • checkedPages
  • signals
  • technologies
  • opportunityScore
  • salesAngles
  • source
  • sourceId
  • checkedAt
  • error

Example output table

The Actor writes one dataset item per qualified lead. This is the kind of table buyers can export to CSV/JSON and use for outreach prioritization.

BusinessLocationScoreWebsite issuePublic contactsSales angle
Hotel NiceSorrento42HTTP site, no WhatsApp detected2 public phonesImprove trust and mobile conversion with HTTPS + WhatsApp CTA.
B&B Belvedere SorrentoSorrento38Site timeout during checknone detectedVerify unreachable site and rebuild the direct booking path.
Bed and Breakfast Ca' RossaRimini63DNS failure on listed website1 public phoneFix broken domain and recover public booking presence.
Example HotelRimini72Missing booking CTA + weak meta descriptionemail + phone + socialSell direct-booking, WhatsApp, and local SEO improvements.

Example JSON item

{
"businessName": "Example Hotel",
"category": "hotel",
"location": "Rimini",
"website": "https://examplehotel.it",
"normalizedWebsite": "https://examplehotel.it/",
"publicEmails": ["info@examplehotel.it"],
"publicPhones": ["+39 0541 000000"],
"socialLinks": ["https://www.instagram.com/examplehotel"],
"statusCode": 200,
"signals": {
"hasHttps": true,
"httpStatusOk": true,
"fetchIssueType": "ok",
"hasPublicEmail": true,
"hasPublicPhone": true,
"hasWhatsapp": false,
"hasBookingEngineOrBookingCTA": false,
"missingMetaDescription": true
},
"opportunityScore": 72,
"salesAngles": [
"Booking engine/CTA prenotazione non rilevata: opportunità per prenotazioni dirette.",
"WhatsApp non rilevato: opportunità per contatto rapido da mobile.",
"Meta description mancante/debole: opportunità SEO/local search."
],
"checkedAt": "2026-07-04T20:05:10.758264+00:00"
}

Pricing

This Actor is monetized with Apify Pay Per Event:

  • $0.015 per qualified Italian hospitality lead written to the dataset;
  • displayed in the Store as from $15.00 / 1,000 qualified Italian hospitality leads;
  • buyers pay for actionable output rows, not for raw places discovered.

Data sources and compliance

The prototype uses public OpenStreetMap/Overpass business records and public business websites. It does not log into websites and does not use private data. Email/phone extraction is limited to publicly visible business contact data. Users are responsible for complying with applicable outreach, privacy, and anti-spam laws.

Current limitations

  • OpenStreetMap data can be stale; stale/broken websites are useful signals but should be interpreted carefully.
  • Some websites block automated requests with HTTP 403; these are classified separately from broken websites.
  • DNS failures, 404s, 403/blocked pages, timeouts, and SSL errors are separated in signals.fetchIssueType.
  • Booking engine detection is keyword-based in the first version.
  • Phone and social extraction uses conservative filters, but buyer review is still recommended before outreach.