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Agoda Hotels Reviews Scraper: Extract Guest Reviews at Scale

What Is Agoda.com?

Agoda.com is one of Asia's largest online travel and hotel booking platforms, hosting millions of verified guest reviews across properties worldwide. These reviews are a goldmine for competitive intelligence, sentiment analysis, and reputation monitoring — but collecting them manually is impractical at scale. The Agoda Hotels Reviews Scraper automates this process, extracting structured review data from any Agoda hotel detail page.

Overview

This scraper targets Agoda hotel detail pages and extracts all available guest reviews with full metadata. It supports keyword filtering, flexible sort options, and pagination control — making it suitable for both targeted research and large-scale data pipelines.

Best suited for:

• Hotels & hospitality brands monitoring guest sentiment
• OTA analysts benchmarking competitor properties
• Data scientists building NLP training datasets from travel reviews
• Travel aggregators enriching listings with social proof data

Input Format

{
"ignore_url_failures":true,
"max_items_per_url":200,
"page":3,
"urls":[
"https://www.agoda.com/vi-vn/the-peninsula-bangkok/hotel/bangkok-th.html"
],
"sort_by":"7",
"keyword":"happy"
}

Tip: Use sort_by: "7" (Most Helpful) combined with a keyword filter to surface the most relevant, high-signal reviews for a specific topic.

Output Format

Sample output

{
"is_helpful_comment":false,
"is_review_voted":false,
"helpful_votes":0,
"response_language_id":1,
"un_helpful_votes":0,
"hotel_review_id":1079448177,
"provider_id":332,
"rating":10,
"check_in_date_month_and_year":"February 2026",
"encrypted_review_data":"68RogSeMEdnn2Wrb848Kzg==",
"formatted_rating":"10.0",
"formatted_review_date":"March 08, 2026",
"formatted_review_helpful_text":"Did you find this review helpful?",
"rating_text":"Exceptional",
"responder_name":"The Peninsula Bangkok",
"response_date_text":"",
"response_translate_source":"en",
"review_comments":"A wonderful property right on the Chao Praya River! Staff, Dining, facilities are amazing. Rooms are very comfortable and views of the city and Chao Praya River. Looking forward to our return!",
"review_negatives":"",
"review_positives":"",
"review_provider_logo":"",
"review_provider_text":"Agoda",
"review_title":"Excellent Stay",
"translate_source":"en",
"translate_target":"en",
"check_in_date":"2026-02-27T00:00:00+07:00",
"check_out_date":"2026-03-02T00:00:00+07:00",
"review_date":"2026-03-08T02:25:00+07:00",
"reviewer_info":{
"country_name":"United States",
"display_member_name":"Muriel",
"flag_name":"us",
"review_group_name":"Couple",
"room_type_name":"Grand Deluxe King Room",
"country_id":181,
"length_of_stay":3,
"review_group_id":2,
"room_type_id":0,
"reviewer_reviewed_count":0,
"is_expert_reviewer":false,
"is_show_global_icon":false,
"is_show_reviewed_count":false
},
"original_title":"",
"original_comment":"",
"ugc_images":[],
"formatted_response_date":"",
"from_url":"https://www.agoda.com/vi-vn/the-peninsula-bangkok/hotel/bangkok-th.html"
}

Each review is returned as a structured record with the following fields:

Review Identity & Scoring

Review Content

Dates & Stay Details

Reviewer Information

Helpfulness & Voting

Hotel Response

Provider Branding

How to Use

1. Get hotel URLs — Open any Agoda hotel detail page and copy the full URL (e.g., https://www.agoda.com/the-peninsula-bangkok/hotel/bangkok-th.html). Both localized (e.g., /vi-vn/) and default URLs are accepted.
2. Configure filters — Set keyword to narrow reviews by topic. Choose sort_by based on your analysis goal.
3. Set volume — Adjust max_items_per_url based on how many reviews you need. For sentiment analysis, 200+ is typically recommended.
4. Set starting page — Use page to resume from a specific page or skip early reviews already collected.
5. Run and export — Download results as JSON or CSV for use in Excel, Python, BI tools, or databases.

Common issues:

• If 0 results are returned, verify the URL is a hotel detail page, not a search results or list page.
• Localized URLs (e.g., /vi-vn/) are generally supported, but use the default English URL if issues arise.

Use Cases & Business Value

• Reputation management: Track recurring complaints or praise across time periods
• Competitive benchmarking: Compare guest sentiment across competing properties
• NLP & ML datasets: Build labeled training data for sentiment classifiers
• Marketing insights: Identify top-performing amenities or staff mentions for promotional content
• OTA strategy: Understand how review scores correlate with booking behavior

Conclusion

The Agoda Hotels Reviews Scraper turns thousands of dispersed guest reviews into clean, structured datasets ready for analysis. With keyword filtering, sort control, and rich metadata per review — including original-language text, stay dates, and hotel responses — it delivers everything needed for serious hospitality intelligence work. Start collecting today and turn guest feedback into a competitive advantage.