Wego.com Hotel Reviews Scraper: Extract Guest Reviews at Scale

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What Is Wego.com?

Wego.com is a travel metasearch platform popular across Asia-Pacific and the Middle East, aggregating hotel prices and guest reviews from multiple providers. Its review data — sourced from various booking platforms — offers valuable signals for reputation analysis, competitive benchmarking, and sentiment research. Manually collecting this data is impractical at scale; the Wego.com Reviews Scraper automates extraction with flexible filtering and pagination.

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Overview

The Wego Hotel Reviews Scraper collects guest review records for any hotel listed on Wego.com, identified by its numeric Hotel ID. It supports:

• Reputation managers monitoring guest sentiment across providers
• Data analysts building review datasets for NLP or sentiment modeling
• Hospitality researchers comparing ratings across properties or regions
• Developers feeding review data into dashboards or aggregator platforms

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Input Format

{
  "hotel_id": "1028684",
  "sort_by": "posted_at,desc",
  "page": 2,
  "max_items_per_url": 200,
  "ignore_url_failures": true
}

Field	Type	Description
hotel_id	string	Required. The numeric Hotel ID from the Wego URL. Example: .../1028684 → "1028684"
sort_by	string	Sort order for reviews. Options: "posted_at,desc" (Latest), "rating,desc" (High rating first), "rating,asc" (Low rating first)
page	integer	Page number to start scraping from. Default: 1. Use 2+ to skip earlier pages or resume a run
max_items_per_url	integer	Maximum number of reviews to collect. Default: 20. Set higher (e.g., 200) for bulk extraction
ignore_url_failures	boolean	If true, the scraper continues running even if a page fails. Recommended: true for large runs

Finding your Hotel ID:
Open a hotel on Wego.com. The URL pattern is:
hotels/searches/lon/2026-05-26/2026-05-27/1028684
The trailing number is your hotel_id.

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Output Format

Sample record:

{
  "id": "expedia.com_1651839863_1028684",
  "hotel_id": 1028684,
  "provider_code": "expedia.com",
  "provider_review_id": "1651839863",
  "provider_hotel_url": null,
  "wego_review_id": 2022,
  "locale": "en",
  "title": "Awesome Hotel",
  "rating": 10.0,
  "posted_at": "2022-05-06",
  "updated_at": "2026-05-26",
  "contents": [
    {
      "type": "neutral",
      "comment": "They stay here was amazing! The staff was very friendly and always checking up on us. Their bar and restaurant was really good. We got a pizza and a chicken blue (not 100% sure on the name, but look at the pic). Their gym has an awesome view. \n\nThis was my first time in London and I had an awesome time! And this hotel was a big part. Good job team!\n\nFinally, this hotel is walking distance from Dadas Diner, which is a restaurant I really recommend. The walk there is nice!"
    }
  ],
  "author": {
    "type": "extended_group",
    "type_en": "extended_group",
    "name": "Martin",
    "travel_purpose": "leisure",
    "traveller_type": "Group",
    "traveller_type_en": "Group",
    "country": null,
    "is_anonymous": null
  },
  "from_url": "https://srv.wego.com/hotel-management/api/provider-reviews/v2/search?app_type=WEB_APP&locale=en&per_page=100&page=2&sorts=score_desc&hotel_id=1028684"
}

Each review returns 13 fields:

Identifiers

Field	Meaning
ID	Internal scraper record ID
Hotel ID	Wego hotel identifier matching your input
Wego Review ID	Wego's own unique review identifier
Provider Review ID	Original review ID from the source booking platform
Provider Code	Code identifying the review source provider (e.g., Booking.com, Expedia)
Provider Hotel URL	URL of the hotel listing on the originating provider's site

Review Content

Field	Meaning
Title	Headline of the review as written by the guest
Rating	Numeric score given by the reviewer
Contents	Full text body of the review
Locale	Language/region of the reviewer (e.g., en_US, ar_AE)

Timestamps & Author

Field	Meaning
Posted At	Date the review was originally published
Updated At	Date the review was last modified
Author	Reviewer name or anonymized identifier

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How to Use

1. Locate the Hotel ID — Open the target hotel on Wego.com and extract the numeric ID from the URL.
2. Set sort order — Choose posted_at,desc for latest reviews, or rating,asc to surface the most critical feedback first.
3. Configure pagination — Set page: 1 to start from the beginning, or a higher value to resume from a specific page.
4. Set volume — Use max_items_per_url to cap collection. Set 200+ for comprehensive datasets.
5. Run and export — Download results as JSON or CSV for analysis.

Tips:

• To collect all reviews, run multiple times incrementing page and combining results.
• Use sort_by: "rating,asc" to prioritize negative reviews for complaint analysis.
• ignore_url_failures: true is recommended for multi-page runs to avoid interruptions on empty pages.

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Use Cases & Business Value

• Reputation monitoring: Track how a property's perceived quality shifts over time
• Competitive analysis: Compare sentiment and ratings across competing hotels
• NLP/sentiment modeling: Build labeled datasets for machine learning pipelines
• Provider attribution: Identify which booking platform drives the most reviews via Provider Code

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Conclusion

The Wego.com Hotel Reviews Scraper delivers clean, structured review data with provider-level attribution and flexible sorting — without manual browsing. Whether you're monitoring a single property or building a multi-hotel dataset, it provides the depth needed for meaningful hospitality intelligence.