🏨 Skyscanner Hotels Scraper

Scrape Skyscanner Hotels for clean, structured hotel data — prices, stars, guest reviews, full amenity lists, partner offers, GPS coordinates and images — from any combination of Skyscanner URLs and free-text destinations, in bulk.

⚡ Streams results into the dataset as each hotel is parsed — no waiting until the end of the run for partial output.

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✨ Why choose this scraper?

• 🧠 Smart proxy auto-escalation — starts direct (cheapest), automatically falls back to datacenter then residential proxy if Skyscanner pushes back. Once on residential it stays there.
• 🌐 URLs and free-text destinations — paste any Skyscanner URL with entity_id=… (no autosuggest hop) OR type a destination name like Alaska / Miami / Tokyo.
• 🛎️ Full amenity list per hotel — the Skyscanner search endpoint only returns a couple of highlight amenities; we hydrate the rest from each hotel's detail page in parallel.
• 💰 Every partner offer — Hotels.com, Expedia, Booking, Agoda, etc. with deep-links, per-night and total prices, room name and taxes.
• 🧱 Browser TLS impersonation via curl_cffi (Chrome 124 / 131 fingerprints) defeats DataDome edges without the cost of a real browser.
• 📊 Sectioned dataset tabs — Overview, Price, Reviews, Location, Amenities, Offers — switch tabs in the Console to focus on a section.
• 💸 Pay per event — you only pay for hotels we successfully deliver.

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🔑 Key Features

• 🆔 Hotel name, Skyscanner ID, canonical detail URL
• ⭐ Star rating and primary image
• 💰 Cheapest per-night price + base price + taxes/fees breakdown
• 🎫 Full list of partner offers (deep-links, room name, total price)
• 📝 Guest review score, summary band, count, popular guest type
• 🛎️ Full amenity list per hotel (from the detail page)
• 📍 GPS coordinates, city name, distance to city centre
• 🖼️ Image gallery URLs

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📥 Input

Field	Type	Required	Default	Description
urls	array	❌	–	Skyscanner destination URLs (any URL with entity_id=… is consumed directly)
locations	array	❌	–	Free-text destinations (e.g. Alaska, Tokyo) — resolved via autosuggest
checkin	date	❌	tomorrow+1	ISO date YYYY-MM-DD
checkout	date	❌	checkin+5	ISO date YYYY-MM-DD
adults	int	❌	2	Adult travellers
children	int	❌	0	Children (priced as age 10)
rooms	int	❌	1	Number of rooms
market / currency	string	❌	US / USD	Pricing locale and currency
limit	int	❌	30	Cap on hotels returned per destination
sorting	string	❌	best	Result order — best / price_low / price_high / rating / stars_high / stars_low / distance
min_price / max_price	int	❌	–	Bound the cheapest per-night price (client-side)
hydrate_amenities	bool	❌	true	Fetch full amenity lists from hotel detail pages
stars_* / rating_* / types_* / traveller_*	toggles	❌	–	Star, guest-rating, accommodation-type and traveller-type filters
amenity_*	toggles	❌	–	~170 amenity filters grouped into themed sections (results must match ALL ticked)
free_cancellation / breakfast_included / show_discounts	bool	❌	false	Native Skyscanner search filters
pay_on_arrival / non_refundable / meals_not_included	bool	❌	false	Best-effort filters inferred from each partner offer's feature badges
proxyConfiguration	object	❌	direct	Optional override of the starting proxy tier

Example input

{
  "urls": [
    "https://www.skyscanner.net/hotels/search?entity_id=27537542&checkin=2026-06-15&checkout=2026-06-20&adults=2&rooms=1"
  ],
  "locations": ["Miami", "Tokyo"],
  "checkin": "2026-06-15",
  "checkout": "2026-06-20",
  "adults": 2,
  "rooms": 1,
  "market": "US",
  "currency": "USD",
  "limit": 30,
  "sorting": "price_low",
  "max_price": 250,
  "stars_4": true,
  "stars_5": true,
  "amenity_wifiservice": true,
  "amenity_pool": true,
  "proxyConfiguration": { "useApifyProxy": false }
}

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📤 Output

Each item in the dataset looks like this:

{
  "id": "129270865",
  "name": "Qupqugiaq Inn",
  "numberOfStars": 2,
  "priceInfo": {
    "price": 84.72,
    "basePrice": 83.72,
    "taxesAndFees": [
      { "total": 63, "key": "other_taxes" },
      { "total": 7.28, "key": "service_fee" }
    ],
    "partnerId": "h_h1",
    "funnelType": "meta",
    "partnerRanking": 1,
    "numberOfOffers": 7,
    "isLowest": true
  },
  "amenities": ["WiFi", "Non-smoking", "Bar", "Lobby bar", "Lounge", "..."],
  "reviews": {
    "score": 3.6,
    "summary": "rating_good",
    "numberOfReviews": 166,
    "mostPopularWith": "",
    "taRating": 4,
    "reviewSummaryScore": 4,
    "reviewSummaryScoreImageUrl": "https://www.tripadvisor.com/img/cdsi/img2/ratings/traveler/4.5-64600-4.png",
    "reviewSummaryScoreDesc": "Good",
    "reviewSummaryCount": 166
  },
  "distanceInfo": {
    "distanceMeters": 0,
    "referenceEntityType": "FirstLevelNationAdministrativeDivision",
    "referenceEntityName": "Alaska",
    "cityName": "Anchorage"
  },
  "position": { "longitude": -149.89471, "latitude": 61.18792 },
  "allPricesInfo": {
    "prices": [
      {
        "partnerId": "h_h1",
        "name": "Hotels.com",
        "price": 84.72,
        "numberOfOffers": 7,
        "deepLink": "https://...",
        "roomName": "Double room",
        "partnerType": "OTA",
        "isLowest": true,
        "basePrice": 83.72,
        "secondaryPrice": 593,
        "partnerRanking": 1
      }
    ]
  },
  "images": ["https://...", "..."],
  "image": "https://...",
  "url": "https://www.skyscanner.net/..."
}

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🚀 How to use (Apify Console)

1. Log in at console.apify.com → Actors.
2. Open 🏨 Skyscanner Hotels Scraper.
3. Paste your URLs / type destinations in the input.
4. Pick check-in / check-out, adults, rooms, market and currency.
5. (Optional) Tick filter toggles: stars, ratings, accommodation types, amenities.
6. Click ▶ Start.
7. Watch logs stream live — every hotel is pushed to the dataset the moment it's scraped.
8. Open the Output tab → switch between Overview / Price / Reviews / Location / Amenities / Offers views.

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🤖 Use via API

curl -X POST "https://api.apify.com/v2/acts/skyscanner-hotels-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "locations": ["Miami"],
    "checkin": "2026-06-15",
    "checkout": "2026-06-20",
    "adults": 2,
    "limit": 30
  }'

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💸 Pricing

Pay-per-event. You're billed:

• Actor start — Apify-managed startup event (small flat fee, first 5s of compute on us).
• result-item — one event per hotel successfully delivered to the dataset.

You don't pay for failed/blocked requests, retries, or proxy escalations.

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❓ FAQ

Q: Why does the first request take a few seconds? Skyscanner runs hotel search asynchronously — the first POST returns a partial result with a sessionToken, and we re-poll until the search reaches 100 % completion (typically 1–4 polls).

Q: Will it work for non-US markets? Yes — pick a market / currency in the input. Skyscanner returns localised prices and partner availability per market.

Q: Why does the amenity list look short for some hotels? The search endpoint only returns 2–3 highlight amenities. With Hydrate per-hotel amenities ON (default), we fetch each hotel's detail page in parallel and parse the full list — usually 15–40 amenities. Turn it OFF to save requests if you only need price/review data.

Q: My destination is blocked. Leave the proxy at default — the actor will auto-escalate to datacenter then residential proxy. If residential still 403s after 3 retries, the run stops cleanly with a partial result.

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📬 Support & feedback

Issues, feature requests or custom scrapers → dev.scraperengine@gmail.com.

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⚖️ Cautions / legal

• Data is collected from publicly available Skyscanner search pages.
• The end user is responsible for legal compliance (GDPR, CCPA, target site ToS, etc.).
• Honour robots.txt and reasonable rate limits — leave the default delay in place.