Airbnb Professional Host Scraper

Turn Airbnb into a B2B lead database. Extract verified business emails, phone numbers, company names, and registration details from professional Airbnb hosts across 55+ markets. In minutes, not days.

How it works

✨ Why use this scraper?

Spending hours scrolling Airbnb looking for property managers? Copy-pasting host details one by one? Getting incomplete data from other scrapers?

• 📧 Verified business contacts in every result. Company email, phone, address, and registration numbers (RCS, SIRET, SIREN) extracted directly from Airbnb listing pages.
• 🏢 Professional hosts separated from individuals. Each result includes a host type classification and contact quality score (email_and_phone, email_only, phone_only).
• 🌍 55+ Airbnb markets worldwide. Company detection adapts to local business formats: FR (SAS/SARL/SCI), ES (SL/SRL), EN (LLC/LTD), DE (GmbH/AG), IT (SRL/SPA), and more.
• 🔀 One row per host, not per listing. Deduplication merges multiple listings from the same host into a single lead row with the best contact info.
• ⚡ Three flexible input modes. Search by city, paste listing URLs, or scrape a host profile page. Combine multiple cities in one run.

🎯 Use cases

Team	What they build
Real estate agencies	Prospect list of professional Airbnb hosts to pitch property management services
B2B sales teams	Qualified leads with verified emails for outreach campaigns targeting short-term rental operators
Market researchers	Map of professional vs. individual hosts by city, with company types and listing counts
Proptech startups	Database of property managers for partnership or acquisition opportunities
Tourism boards	Census of commercial hosts and their registration compliance in a given region

📥 Input parameters

What to Scrape

Parameter	Type	Default	Description
mode	string	city	City Search, Listing URL(s), or Host Profile
city	string[]	-	Cities or regions to search (one per line)
listingUrls	array	-	Airbnb listing URLs to enrich
hostProfileUrl	string	-	Host profile URL to scrape
locale	string	fr	Market / language (55+ options). Determines the Airbnb domain and company detection rules

Result Limit

Parameter	Type	Default	Description
maxPages	integer	3	Pages per city (~18 listings/page). Set to 0 for no limit
deduplicateHosts	boolean	true	Collapse multiple listings per host into one row

📊 Output data

{
    "listingId": "1234567",
    "name": "Charming studio in Vieux Lyon",
    "url": "https://www.airbnb.fr/rooms/1234567",
    "companyName": "Lyon Apparts SAS",
    "companyEmail": "contact@lyon-apparts.fr",
    "companyPhone": "+33 4 78 12 34 56",
    "companyAddress": "12 Rue de la Republique, 69002 Lyon",
    "companyRCS": "RCS Lyon 831 626 353",
    "companySiret": "83162635300039",
    "companySiren": "831626353",
    "hostName": "Lyon Apparts",
    "hostType": "professional",
    "contactStatus": "email_and_phone",
    "isProHost": true,
    "isSuperhost": true,
    "yearsHosting": 5,
    "city": "Lyon",
    "neighborhood": "Vieux Lyon, Auvergne-Rhone-Alpes",
    "latitude": 45.7623,
    "longitude": 4.8271,
    "rating": 4.92,
    "numberOfReviews": 187,
    "roomType": "Entire home/apt",
    "pricePerNight": "85 EUR",
    "photos": ["https://a0.muscache.com/..."],
    "scrapedAt": "2026-04-01T12:00:00Z"
}

🗂️ Data fields

Category	Fields
Business contacts	companyName, companyEmail, companyPhone, companyAddress
Registration	companyRCS, companySiret, companySiren, companyRegister, companyType
Host info	hostName, hostId, hostType, isProHost, isSuperhost, yearsHosting, hostProfileUrl
Contact quality	contactStatus (email_and_phone, email_only, phone_only, no_contact), emailDomain, contactFirstName, contactLastName
Location	city, neighborhood, searchCity, latitude, longitude
Performance	rating, numberOfReviews, badges, hasGuestFavorite
Listing	listingId, name, url, description, roomType
Pricing	price, pricePerNight, priceFull, taxes, priceTotal, pricePerNightValue, numberOfNights
Media	photos, mainPhoto
Dedup	listingCount, listingUrls (when deduplication is enabled)
Meta	scrapedAt

🚀 Examples

Find professional hosts in Lyon

{
    "mode": "city",
    "city": ["Lyon"],
    "locale": "fr",
    "maxPages": 3
}

Scan multiple Spanish cities

{
    "mode": "city",
    "city": ["Barcelona", "Madrid", "Valencia"],
    "locale": "es",
    "maxPages": 5,
    "deduplicateHosts": true
}

Enrich a list of Airbnb URLs

{
    "mode": "bulkUrls",
    "listingUrls": [
        "https://www.airbnb.fr/rooms/12345678",
        "https://www.airbnb.es/rooms/87654321"
    ],
    "locale": "fr"
}

Get all listings from a specific host

{
    "mode": "hostProfileUrl",
    "hostProfileUrl": "https://www.airbnb.fr/users/show/12345678",
    "locale": "fr"
}

💻 Integrations

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("silentflow/airbnb-professional-host-scraper").call(run_input={
    "mode": "city",
    "city": ["Lyon"],
    "locale": "fr",
    "maxPages": 3
})

for host in client.dataset(run["defaultDatasetId"]).iterate_items():
    if host.get("isProHost"):
        print(f"{host['companyName']}: {host.get('companyEmail', 'N/A')}")

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('silentflow/airbnb-professional-host-scraper').call({
    mode: 'city',
    city: ['Barcelona'],
    locale: 'es',
    maxPages: 5
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
const proHosts = items.filter(i => i.isProHost);
console.log(`Found ${proHosts.length} professional hosts`);

📈 Performance & limits

Metric	Value
Listings per page	~18
Enrichment speed	~2-4 listings/second
Supported markets	55+
Data fields per result	40+
Company detection	7 countries (FR, ES, EN, DE, IT, PT, NL)

💡 Tips for best results

1. Start with 2-3 pages per city. Each page returns ~18 listings. Scale up once you confirm the data matches your needs.
2. Enable deduplication for outreach. One row per host means cleaner lead lists. Disable it only for market-level analysis.
3. Match the locale to your target market. Use fr for France, es for Spain, en for UK/US. This controls which Airbnb domain is scraped and how companies are detected.
4. Use bulkUrls mode for targeted enrichment. If you already have a list of Airbnb URLs, paste them directly instead of running a full city search.
5. Large cities can have 50+ pages. Paris, London, Barcelona have thousands of listings. Limit with maxPages to keep runs focused.

❓ FAQ

Q: How does pro host detection work? A: The scraper reads the host type classification and "Professional Host Details" section on each listing page. Only hosts with verified business registrations are flagged as professional.

Q: Why are some pro hosts missing emails or phones? A: Not all professional hosts provide all contact fields to Airbnb. The scraper extracts everything available on the page.

Q: What does contactStatus mean? A: It tells you what contact info was found: email_and_phone (both), email_only, phone_only, or no_contact (professional host but no direct contact available).

Q: Can I scrape any Airbnb market? A: Yes. 55+ locales are supported. Company detection (legal entity parsing) is available for FR, ES, EN, DE, IT, PT, and NL markets.

Q: What happens with deduplication enabled? A: Multiple listings from the same host are merged into one row. The result keeps the best contact info found across all their listings, plus a listing count and URLs list.

📬 Support

Need something this scraper does not do yet? We ship features fast.

• Feature requests go straight to our backlog
• Enterprise needs? We do custom integrations

Check out our other scrapers: SilentFlow on Apify