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Wego Hotels Search Scraper

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from $1.50 / 1,000 results

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Wego Hotels Search Scraper

Wego Hotels Search Scraper

Scrape Wego.com hotel search results with full pricing, reviews, amenities, location data, and availability. Collect up to 200 hotels per search URL — perfect for travel analysts, OTA developers, and hospitality researchers.

Pricing

from $1.50 / 1,000 results

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Wego.com Hotels Scraper: Extract Hotel Search Results & Pricing


What Is Wego.com?

Wego.com is a major travel metasearch engine operating across the Middle East, Asia-Pacific, and beyond, aggregating hotel and flight deals from hundreds of providers. Its hotel search surfaces real-time pricing, availability, reviews, and property details — data that is highly valuable for competitive analysis, travel product development, and market research. The Wego.com Hotels Scraper automates extraction of this data from any search results page.


Overview

The Wego Hotels Scraper transforms Wego search result pages into structured hotel datasets. It captures everything from star ratings and geo-coordinates to live pricing, room counts, and AI-generated reviews.

Ideal for:

  • Travel tech developers building price comparison or recommendation engines
  • Revenue managers benchmarking competitor pricing by destination
  • Market researchers analyzing hotel supply and demand by city or district
  • Data scientists training hospitality or pricing models

Input Format

{
"urls": [
"https://www.wego.com/hotels/searches/lon/2026-05-26/2026-05-27?guests=2&sort=popularity&order=desc&country_code=GB&ab=true"
],
"ignore_url_failures": true,
"max_items_per_url": 200
}
FieldTypeDescription
urlsarrayOne or more Wego hotel search result URLs. Each URL should encode destination, check-in/check-out dates, guest count, and any filters you want applied (sort order, country code, etc.). Add URLs one by one or use bulk edit.
max_items_per_urlintegerMaximum hotels to collect per URL. Default: 20. Set up to 200 for comprehensive market sweeps.
ignore_url_failuresbooleanIf true, the scraper continues running when a URL fails instead of stopping the entire run. Recommended for bulk inputs.

Tip: Build your search URL directly on Wego.com with your desired filters (dates, location, sort), then copy the URL from the browser address bar. The URL encodes all your search parameters automatically.


Output Format

Sample output

{
"id": "b12bb7a53bce2598:hotels.wego.com:3366961:1:1396",
"name": "Westferry",
"star": 0,
"images": [
{
"url": "https://zen.wego.com/hotelz/s/115266390/1947235373.jpeg",
"primary": true
},
{
"url": "https://zen.wego.com/hotelz/s/111737686/1918656199.jpeg",
"primary": false
},
{
"url": "https://zen.wego.com/hotelz/6/141154732/2241795763.jpeg",
"primary": false
},
{
"url": "https://zen.wego.com/hotelz/s/125771652/1707788388.jpeg",
"primary": false
},
{
"url": "https://zen.wego.com/hotelz/6/141154732/2241795765.jpeg",
"primary": false
}
],
"badges": [],
"property_type_id": 16,
"brand_id": 0,
"chain_id": 0,
"city_code": "LON",
"district_id": 46994,
"images_count": 50,
"amenity_ids": [
1,
37,
7,
5
],
"tag_ids": [],
"room_amenity_ids": [],
"theme_ids": [],
"reviews": [
{
"count": 386,
"score": 79.0,
"percentage": 100.0,
"reviewer_group": "ALL"
}
],
"ai_reviews": [
{
"id": 1199322,
"text": "Good breakfast",
"sentiment": "positive",
"percentage": 0.0
},
{
"id": 1199321,
"text": "Comfy beds",
"sentiment": "positive",
"percentage": 0.0
},
{
"id": 1199320,
"text": "Great location",
"sentiment": "positive",
"percentage": 0.0
},
{
"id": 1199319,
"text": "Friendly staff",
"sentiment": "positive",
"percentage": 0.0
},
{
"id": 1199323,
"text": "Small rooms",
"sentiment": "negative",
"percentage": 35.0
}
],
"longitude": -0.029217,
"latitude": 51.512333,
"distance_to_city_centre": 6.83238,
"distance_to_nearest_airport": 5.82022,
"name_i18n": {
"en": "Westferry"
},
"latest_positive_comment": "",
"similar_hotel_ids": [],
"reviews_score": 0.0,
"capacity": 0,
"bedrooms_count": 0,
"beds_count": 0,
"bathrooms_count": 0,
"new_hotel": false,
"newly_renovated": false,
"hotel_social_proof": {
"priority": 2,
"type": "TRAVELLER_POPULARITY",
"value": "couple"
},
"provider_hotel_id": "3366961",
"provider_code": "hotels.wego.com",
"description": "Double, 1 Double And 1 Single",
"price": {
"amount": 81.0,
"currency_code": "USD",
"amount_usd": 80.85,
"tax_amount": 0.0,
"tax_amount_usd": 0.0,
"tax_inclusive": true,
"ecpc": 0.92,
"local_tax_amount": 0.0,
"local_tax_amount_usd": 0.0,
"total_local_tax_amount": 0.0,
"total_local_tax_amount_usd": 0.0,
"total_amount": 81.0,
"total_amount_usd": 80.85,
"total_tax_amount": 0.0,
"total_tax_amount_usd": 0.0
},
"rate_amenity_ids": [],
"remaining_rooms_count": 1,
"handoff_url": "https://www.wego.com/hotels/booking/checkout?search_id=b12bb7a53bce2598&reference_id=b12bb7a53bce2598%3Ahotels.wego.com%3A3366961%3A1%3A1396&locale=en",
"usual_price": {
"usual_amount": 118.42,
"usual_amount_usd": 118.42,
"usual_total_amount": 118.42,
"usual_total_amount_usd": 118.42,
"discount_to_usual_amount": 0.3172606
},
"room_ids": [
"70aae1c3b85e2a9"
],
"rooms_count": 1,
"params": {
"hashed_rate_id": "Bm5I0izt/E1z2C802OZkcjCMLfFyj1F/u2PW4UwHjJU=",
"room_type_name": "Double, 1 Double and 1 Single",
"board_basis": "Room Only",
"rate_id": "boognik69qsa:4475290$$boognik69qsa~~3366961~~4475290~~lu9n/U+rqSiY32YR7GMUQNg80z+QQbOqaZVhtziHA8lz00TD0Ar+KEQuPnmxSaB2e4XmwgjRRktZVT3DRqrY5WEAdm5lyrUvzIPFXEItwcCWLJuQzsGtXslDQi0ScoeHa04DCUNsdyowhIm6wcmyDQtbSqOseD77Zdp35ozTz5i1c4ftQvAU2SZ49jPJDyKrbIIj+HA90P9i6FcebzFG9okVpd8Jgx2bxNeXCwMx7uii8eXXPGud7kYnZd168bItKWyo53i8nqySaruVmGBTNTmXQC/b5MMuRRYLxPTiKIxJgPWQ3z2mBpuauayCPVUP$$B2C$$eyJib2FyZEJhc2lzIjoiUm9vbSBPbmx5Iiwib3JpZ2luYWxNaW5QcmljZSI6eyJjdXJyZW5jeSI6IkdCUCIsImFtb3VudCI6NjB9LCJvcmlnaW5hbE5ldHRQcmljZSI6eyJjdXJyZW5jeSI6IkdCUCIsImFtb3VudCI6NjB9LCJvcmlnaW5hbFRheGVzIjpbeyJjdXJyZW5jeSI6IkdCUCIsImFtb3VudCI6MC4wMH1dLCJ0IjoxNzc5Nzg1NDY5LCJjcmVkIjoiYjJjbmV3IGFjY291bnQiLCJzcnRJZCI6IjQ0NzUyOTAwMiIsInJ0SWQiOiI0MzI5ODcxOSIsInJuIjoiRG91YmxlLCAxIERvdWJsZSBhbmQgMSBTaW5nbGUifQ==",
"session_id": "20260526~1~r1a2c~~a310b2c525bb5aa4~USD~US~~VN~B~D~DW~D~en-US~0~0~0~0~10.11.80.223~1779786838419~jhFBP~",
"room_type_id": "43298719"
},
"type": "DEFAULT",
"rate_social_proof": {
"priority": 1,
"type": "ROOM_SCARCITY",
"value": 1
},
"from_url": "https://www.wego.com/hotels/searches/lon/2026-05-26/2026-05-27?guests=2&sort=popularity&order=desc&country_code=GB&ab=true"
}

Each hotel returns a record with 45 fields across five categories:

Property Identity

FieldMeaning
IDWego's unique internal hotel identifier
NameHotel name as listed on Wego
Name I18NLocalized/translated hotel name variants
StarStar rating (1–5)
Property Type IDCategory of property (hotel, apartment, resort, etc.)
Brand IDAssociated hotel brand identifier
Chain IDHotel chain identifier (e.g., Marriott, IHG)
New HotelFlag indicating a recently opened property
Newly RenovatedFlag indicating recent renovation
DescriptionFull property description text

Location & Geography

FieldMeaning
City CodeWego's city code for the destination
District IDSub-city area or neighborhood identifier
Latitude / LongitudeGPS coordinates for mapping
Distance To City CentreDistance from hotel to city center (km)
Distance To Nearest AirportDistance from hotel to closest airport (km)

Media & Content

FieldMeaning
ImagesArray of image URLs for the property
Images CountTotal number of available images
BadgesPromotional or quality badges (e.g., "Top Rated")

Reviews & Social Proof

FieldMeaning
ReviewsStructured guest review data
Reviews ScoreAggregate review score
AI ReviewsAI-generated summary of guest feedback
Latest Positive CommentMost recent positive guest quote
Hotel Social ProofSocial signals (e.g., "50 people viewed today")
Rate Social ProofSocial proof tied to a specific rate or room

Amenities & Classification

FieldMeaning
Amenity IDsIDs for property-level amenities (pool, gym, WiFi, etc.)
Room Amenity IDsIDs for room-level amenities
Rate Amenity IDsAmenities included in the specific rate (e.g., breakfast)
Tag IDsDescriptive tags applied to the property
Theme IDsProperty themes (e.g., family-friendly, romantic, business)
Similar Hotel IDsIDs of comparable properties suggested by Wego

Rooms & Capacity

FieldMeaning
Room IDsIdentifiers for available room types
Rooms CountNumber of room types available
Remaining Rooms CountRooms left at the scraped rate (scarcity signal)
CapacityMaximum guest capacity
Bedrooms CountNumber of bedrooms
Beds CountNumber of beds
Bathrooms CountNumber of bathrooms

Pricing & Booking

FieldMeaning
PriceCurrent displayed price for the stay
Usual PriceTypical/baseline price for comparison
Provider CodeCode identifying the booking provider (e.g., Booking.com, Expedia)
Provider Hotel IDProvider's own ID for the property
Handoff URLDirect deep-link to complete the booking on the provider's site
TypeRate or listing type
ParamsAdditional query parameters captured with the rate

How to Use

  1. Build your search URL on wego.com — select destination, dates, and guest count, apply any filters, then copy the full URL.
  2. Paste into urls — add one or multiple search URLs to the array.
  3. Set max_items_per_url — use 200 for full market coverage, lower for quick samples.
  4. Run the scraper and monitor the log for any failed URLs.
  5. Export results as JSON, CSV, or Excel.

Best practices:

  • Use different sort parameters (popularity, price, rating) across multiple URLs to capture different hotel segments.
  • For multi-city research, create one URL per destination — all can be added to the urls array in a single run.
  • If a URL returns 0 results, verify it loads correctly in a browser first.

Use Cases & Business Value

  • Price intelligence: Monitor nightly rates across London, Dubai, Singapore, or any Wego market
  • Supply analysis: Quantify hotel density, star distribution, and amenity prevalence by district
  • OTA product development: Seed hotel databases with rich metadata and imagery
  • Yield management: Track Remaining Rooms Count as a real-time demand signal

Conclusion

The Wego.com Hotels Scraper delivers comprehensive hotel market data — pricing, availability, reviews, location, and amenities — from one of travel's leading metasearch engines. Whether you're building a product or conducting research, it eliminates manual data collection and provides structured output ready for any downstream workflow.