Airbnb Host Scraper — Profiles & Multi-Property Operators

Name a city, or pass listing URLs or IDs, and get back the host behind each one — and, grouped across your whole input, which hosts are running several properties.

That grouping is the point. A list of listings tells you about inventory. A list of hosts tells you who the operators are.

One listing is enough to find an eleven-property operator. The Actor opens each host's profile and reads their entire managed portfolio, so you are not limited to whatever listings you happened to feed in.

Measured on Lisbon: 8 listings in, 5 multi-property operators out — the largest managing 12 properties with 3,472 reviews between them.

What you get

{
  "host_id": "697089575",
  "host_name": "Jardim Do Castelo",
  "host_url": "https://www.airbnb.com/users/show/697089575",
  "is_superhost": true,
  "is_verified": true,
  "is_airbnb_managed": false,
  "rating_average": 4.81,
  "rating_count": 293,
  "years_hosting": 1,
  "months_hosting": 3,
  "response_rate": "100%",
  "response_time": "within an hour",
  "about": "We are a small family business in Lisbon...",
  "listings_found": 2,
  "is_multi_property": true,
  "listings": [
    {"listing_id": "1427417218567220620", "listing_url": "https://www.airbnb.com/rooms/1427417218567220620"},
    {"listing_id": "1490660117561664807", "listing_url": "https://www.airbnb.com/rooms/1490660117561664807"}
  ]
}

Use it for

• Lead generation for property-management software, cleaning services, insurance, photography — filter to is_multi_property and you have a list of professional operators rather than one-off hosts
• Market structure research — what share of a city's listings belong to multi-property operators
• Competitive analysis — who the serious players in your market are, how long they have been hosting, how well they are rated

How to find the operators

1. Run Airbnb Scraper on a city
2. Paste its listing_id column in here
3. Turn on Only hosts with more than one property

The more listings you feed it, the more portfolios it can connect. A host with 14,000 reviews and eight properties is a business, not a spare room.

Two ways to use it

Just name a city. Leave Airbnb listings empty, type a location, and the Actor finds the listings itself — nothing to look up first.

{"location": "Lisbon, Portugal", "maxListings": 50}

Or pass listings you already have. Paste room URLs or IDs, for example the listing_id column from Airbnb Scraper.

{"listings": ["https://www.airbnb.com/rooms/29754402", "1427417218567220620"]}

Input

{
  "listings": ["https://www.airbnb.com/rooms/29754402", "1427417218567220620"],
  "groupByHost": true,
  "onlyMultiProperty": false,
  "onlySuperhosts": false
}

Turn Group by host off for one row per listing instead.

Reliability

• Retries with exponential backoff on network errors
• A listing whose host cannot be read is reported and never charged
• If every listing fails, the run fails loudly instead of returning an empty dataset

Pricing

Pay per host profile returned.

FAQ

Does listings_found mean all the host's listings? Yes, when Fetch each host's full portfolio is on: the Actor opens the host's profile and reads Airbnb's own total. One listing in your input is enough to discover a host running eleven.

Why is listings_detailed sometimes lower than listings_found? Airbnb's profile page shows details for at most 10 properties while still reporting the true total. listings_found is the real portfolio size; listings_detailed is how many came with full details attached.

Does this collect personal data? It collects what Airbnb publishes on the listing page: host display name, public profile text, photo, and public statistics. No emails, no phone numbers. If you process this for EU residents, GDPR applies to you as the controller — including having a lawful basis for direct outreach.