Agoda Hotels Reviews Scraper: Extract Guest Reviews at Scale

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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.

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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

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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"
}

Field	Type	Description
urls	array	Agoda hotel detail page URLs to scrape. Accepts multiple URLs. Example: https://www.agoda.com/the-peninsula-bangkok/hotel/bangkok-th.html
keyword	string	Filter reviews containing a specific keyword (e.g., "happy", "breakfast", "wifi"). Leave empty to collect all reviews.
sort_by	string	Sort order for reviews. Options: "1" = Newest, "2" = Score high to low, "3" = Score low to high, "7" = Most Helpful
page	integer	Page number to start scraping from. Defaults to 1. Use 3 to skip the first two pages.
max_items_per_url	integer	Maximum number of reviews to collect per URL. Default: 20. Set higher (e.g., 200) for bulk collection.
ignore_url_failures	boolean	If true, the scraper continues running when a URL fails instead of stopping the entire run. Recommended: true for multi-URL runs.

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

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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

Field	Meaning
Hotel Review ID	Unique identifier for the review on Agoda
Provider ID	ID of the review source/provider platform
Rating	Numeric rating score given by the reviewer
Formatted Rating	Display-formatted version of the rating (e.g., "9.0")
Rating Text	Text label for the score (e.g., "Exceptional", "Good")

Review Content

Field	Meaning
Review Title	Headline written by the reviewer
Review Comments	Full review body text
Review Positives	Specific positives highlighted by the reviewer
Review Negatives	Specific negatives or complaints mentioned
Original Title	Review title in the original language before translation
Original Comment	Full review body in the original language
UGC Images	User-uploaded photos attached to the review

Dates & Stay Details

Field	Meaning
Review Date	Date the review was submitted
Formatted Review Date	Human-readable review date string
Check In Date	Reviewer's check-in date
Check Out Date	Reviewer's check-out date
Check In Date Month And Year	Abbreviated stay period (e.g., "March 2024")

Reviewer Information

Field	Meaning
Reviewer Info	Reviewer profile data (name, country, traveler type, etc.)
Translate Source	Detected source language of the review
Translate Target	Target language for translation display
Response Language ID	Language ID of the hotel's response
Encrypted Review Data	Encoded internal review metadata

Helpfulness & Voting

Field	Meaning
Helpful Votes	Number of users who found the review helpful
Un Helpful Votes	Number of users who found the review unhelpful
Is Helpful Comment	Boolean flag — whether the review is marked as helpful
Is Review Voted	Whether the current user has voted on this review
Formatted Review Helpful Text	Display text for the helpfulness vote count

Hotel Response

Field	Meaning
Responder Name	Name of the hotel staff member who responded
Response Date Text	Date of the hotel's response
Formatted Response Date	Human-readable response date
Response Translate Source	Original language of the hotel response

Provider Branding

Field	Meaning
Review Provider Logo	Logo image URL of the review source platform
Review Provider Text	Display name of the review provider

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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.

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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

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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.