Airbnb Experiences Scraper — Host Email & Phone Finder

Extract Airbnb Experiences in any city and, optionally, the host's email and phone from public web pages. Title, price, rating, meeting point — ready for outreach.

No Airbnb login. No API key.

Also available

The Airbnb suite — pick the job:

Actor	Use when
Airbnb Pro Host	Business emails and phones by city
Airbnb Property Details	Amenities, GPS, photos, completeness
Airbnb Calendar	Occupancy and day-by-day availability
Airbnb Price Monitor	Nightly rates across a market
Airbnb Host Portfolio	Map a host’s listings from profile URLs
Airbnb Reviews	Guest comments by listing URL
This Actor — Experiences	Experience hosts, emails when enriched

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Ready-made examples (published tasks)

Example	Best for
Find Airbnb Experience hosts in Paris	Flagship geo — prices, ratings, hosts
Export Airbnb food experiences in Rome	Food & drink vertical
Airbnb Experiences sample in Barcelona	Tour-operator sample
Enrich one Airbnb Experience URL	Paste a URL

Who is this for?

You are…	Typical goal	Suggested setup
Tour operator / travel agency	Benchmark competitors, spot pricing gaps	City search, all categories, maxExperiences: 0
Activity platform (GetYourGuide, Viator)	Monitor competitor supply in key markets	Multiple cities, category filter, scheduled run
B2B supplier (catering, transport, venues)	Find popular experience hosts for partnership outreach	City search + Enrich details + Find host email
Outbound / SDR team	Build a cold outreach list of experience operators	City search + enrichment ON — export host_email + host_name
Market researcher	Map experience supply, pricing, and categories by city	Multiple cities, no cap, export full dataset
Experience host / entrepreneur	Validate a new concept against existing supply	City search + category filter, sort by review_count

What you get by default: title, host name, price per person (local currency), rating, review count, duration, category, cover photo, and a direct experience URL — for every experience visible on Airbnb's public search pages.

Enable enrichment when you need the meeting point address, next available date, and optionally the host's external website and email for outreach.

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What it extracts

Base fields (always collected)

Field	Description
experience_id	Unique Airbnb experience ID
title	Experience title
description_short	First ~300 characters of the description
category	Category (Cooking, Cultural tours, Landmarks, etc.)
price_per_person	Price per person in local currency
currency	Currency code — auto-detected from city country (EUR for France, GBP for UK…)
duration_hours	Duration in decimal hours (1.5 = 1h 30min)
rating	Average star rating
review_count	Number of published reviews
host_name	Host display name
badges	Badges shown on the card (Popular, Original, etc.)
is_business_host	True when the host operates as a business entity
is_online	True for online/virtual experiences
cover_photo_url	Main experience photo URL
url	Direct link to experience page
city	City searched
scraped_at	ISO timestamp of extraction

With Enrich details ON

Field	Description
address_locality	City from experience page (e.g. Paris)
address_region	Region (e.g. Île-de-France)
address_country	Country (e.g. France)
meeting_point	Exact meeting location as communicated to guests (e.g. 2 Port de Suffren)
next_available_date	Next bookable date (YYYY-MM-DD)
description_full	Full description text

With Find host website & email ON

Field	Description
host_website	Host's external website, discovered via Google search and content verification
host_email	Found email address, validated by AI
host_email_score	AI confidence score (0–100) — emails below threshold are dropped
host_email_source	How the email was found (google-snippet, google-contact, crawl)
host_phone	Phone number extracted from the host's website or Google snippets

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Typical fill rates

Reference run: 50 Paris experiences, May 2026, enrichment ON.

Field	Typical fill	Notes
title, rating, review_count, price_per_person	100%	From search cards
host_name	~95%	A few anonymous listings
meeting_point	~80%	Present when the host fills in their meeting point — missing on some online/virtual experiences
address_locality / address_region	~95%	From JSON-LD on detail page
next_available_date	~90%	Missing if fully booked or inactive
host_website	~25-35%	Hosts with a detectable online footprint
host_email (score >= 70)	~15-25%	Higher for business operators with a dedicated website
host_phone	~10-20%	Phones published on the host website or visible in Google snippets

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Quick start

1. Open the Actor in Apify Console and click Try.
2. Paste one or more cities (Paris, France) or Airbnb Experience URLs in the Cities or Experience URLs field.
3. Set Max experiences per city (50 for a quick test, 0 for all).
4. Enable Find host website & email if you need contact info.
5. Click Start — results appear in the Dataset tab as they are collected.

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Input reference

Console fields

Parameter	Type	Default	Description
targets	string[] or URL[]	—	Cities (Paris, France) or Airbnb Experience URLs — one per line, auto-detected
maxExperiences	integer	0	Max results per city. 0 = no cap
category	string	all	Category filter
enrichContact	boolean	false	Find host website, email, and phone

API-only keys (not shown in Console form)

Pass these in JSON input when calling via API:

Key	Type	Default	Description
currency	string	auto	Currency override (e.g. USD). Default: auto-detected from city country
minRating	number	—	Minimum star rating filter (e.g. 4.5)
language	string	—	Language filter (e.g. English, French)
minEmailScore	integer	70	AI confidence threshold for email acceptance (0-100)

Input JSON example — city search

{
  "targets": ["Paris, France", "Barcelona, Spain"],
  "maxExperiences": 100,
  "category": "food_and_drink",
  "enrichContact": true
}

Input JSON example — direct URLs

{
  "targets": [
    "https://www.airbnb.com/experiences/12345",
    "https://www.airbnb.com/experiences/67890"
  ],
  "enrichContact": true
}

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Output sample

{
  "experience_id": "6785604",
  "url": "https://www.airbnb.com/experiences/6785604",
  "title": "Fast-Access Seine River Cruise from Eiffel Tower",
  "description_short": "Board an eco-friendly electric boat at the Eiffel Tower and uncover the history of Paris' iconic bridges and monuments with live guide narration.",
  "category": "Cultural tours",
  "price_per_person": 21,
  "currency": "EUR",
  "duration_hours": 1,
  "rating": 4.68,
  "review_count": 635,
  "host_name": "Vedettes De Paris",
  "badges": "Popular",
  "is_business_host": false,
  "is_online": false,
  "city": "Paris, France",
  "address_locality": "Paris",
  "address_region": "Île-de-France",
  "address_country": "France",
  "meeting_point": "2 Port de Suffren",
  "next_available_date": "2026-06-01",
  "host_website": "https://vedettesdeparis.fr",
  "host_email": "info@vedettesdeparis.com",
  "host_email_score": 91,
  "host_email_source": "crawl",
  "host_phone": "+33 (0)1 44 59 84 04",
  "cover_photo_url": "https://a0.muscache.com/im/pictures/Mt/MtTemplate-6785604/original/d19a8935-1762-403c-ad39-05b59bce45fc.jpeg",
  "scraped_at": "2026-06-01T08:30:00.000Z"
}

---

How it works

1. Build search URL from the city input with local currency auto-detection.
2. Fetch search page via plain HTTP — no browser, no Airbnb login.
3. Parse niobeClientData from the page's embedded JSON (Airbnb's server-side data payload).
4. Extract and normalize each experience card into a flat row.
5. Paginate via cursor until all results are collected or the cap is reached.
6. (With Enrich details ON) Visit each experience page once — extract meeting point, address, next date, and full description from structured JSON-LD.
7. (With Find host email ON) For each unique host: Google via autom.dev to find their website and email, crawl the site, validate the email with GPT-4o mini, and extract any phone number from the page content.
8. Export rows to the Apify dataset progressively as each page is processed.

All steps are HTTP-only — no browser, no Airbnb account required.

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Performance and cost

Reference timings: Paris, May 2026, 1024 MB.

Scenario	Experiences	Wall time	Notes
City search only	50	~5s	Search cards, no detail pages
+ Enrich details	50	~35s	1 detail page per experience
+ Find host email	50	~3–5 min	2–4 Google searches + optional crawl per host

Pay per event (FREE tier): each dataset row is one Experience ($5 / 1,000). Email enrichment ($5 / 1,000) is added only when a host email is found. Actor start is a micro-event. HTTP-only — no residential proxy by default.

Scenario (FREE)	Experience rows	Emails found	Approx. total
25 listing rows, no emails	25 × $0.005	0	~$0.13
1,000 listing rows, no emails	1,000 × $0.005	0	~$5.00
1,000 rows + 200 emails	1,000 × $0.005	200 × $0.005	~$6.00

Event	FREE	Bronze	Silver	Gold
Experience (dataset row)	$4.99 / 1k	$4.49	$3.99	$3.49
Email found	$5.00 / 1k	$4.00	$3.49	$3.00

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Is it legal to scrape Airbnb Experiences?

This Actor only reads pages Airbnb shows to any visitor without an account. Names, emails and phones are personal data: your use must comply with GDPR and your own purpose limitation.

Important notes

• Public data only — reads the same pages visible to any browser without an account.
• Online experiences are included and flagged with is_online: true.
• Meeting point is as provided by the host — it may be a full street address, a landmark name, or a neighbourhood.
• Currency is auto-detected from the search city (France → EUR, USA → USD, UK → GBP). Override with currency in API input.
• Email enrichment uses external APIs (autom.dev for Google search, OpenAI for validation) — both are configured server-side; no API key required from you.

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Airbnb Actors suite (corent1robert)

Step	Actor	Best for
Discover pro hosts	Airbnb Professional Host Scraper	City search, pro host contacts (email, phone, company, SIRET)
Map host portfolios	Airbnb Host Portfolio Scraper	Listing count, geo, review sample, optional business contact
Deep listing data	Airbnb Property Details Scraper	Amenities, GPS, photos, pricing context, 30+ fields
Experiences	Airbnb Experiences Scraper (this Actor)	Experiences by city — host name, price, meeting point, email
All reviews	Airbnb Reviews Scraper	Every review on a listing — rating, comment, date, host reply

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Support

Questions or custom scraping needs? Contact corentin@outreacher.fr