Agoda Hotel Scraper

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Agoda Hotel Scraper extracts hotel search results, property details, room pricing, availability, and guest reviews from Agoda. It is built for travel research, hotel market analysis, pricing monitoring, lead generation, and review analysis.

Use Cases

• Compare hotel pricing and availability across destinations.
• Monitor competitor properties, ratings, and review counts.
• Collect room-level pricing and availability for market research.
• Analyze guest sentiment, review volume, and review trends.
• Build hotel datasets for travel dashboards or internal analytics.

Quick Start

1. Open the Actor on Apify and click Try for free.
2. Choose a mode: search, property, or reviews.
3. Fill in the matching configuration section.
4. Click Run.
5. Open the Dataset tab to preview or download the results.

Supported Modes

Input Configuration

Global Settings

Hotel Search Settings

Use mode: "search" to collect hotel listings. You can provide a destination query and let the Actor resolve it, or pass an Agoda cityId directly.

Available search filters include propertyType, starRatingMin, reviewScoreMin, cityCenterDistance, freeCancellation, payAtHotel, bookNowPayLater, bookWithoutCreditCard, payNow, breakfastIncluded, outsideFoodDeliveryAllowed, earlyCheckIn, dinnerIncluded, swimmingPool, internet, parking, airportTransfer, and gymFitness.

Property Details Settings

Use mode: "property" when you need detailed information for one Agoda property. Provide either property.propertyId or property.propertyUrl.

Set property.enrichPricing to true when you need richer room pricing details such as room IDs, supplier IDs, benefits, cashback, and occupancy metadata.

Property Reviews Settings

Use mode: "reviews" to collect paginated guest reviews for one Agoda property. Provide either reviews.propertyId or reviews.propertyUrl.

Output

The Actor writes records to the default dataset for hotel search runs and to the results dataset for property and review runs. A compact run summary is also saved to the default key-value store under the OUTPUT record.

Hotel Search Output Example

{
"property_id":44842960,
"type":"NormalProperty",
"name":"Grande Centre Point Surawong Bangkok",
"rating":5.0,
"accommodation_type":34,
"city":"Bangkok",
"country_code":"TH",
"property_url":"https://www.agoda.com/grande-centre-point-surawong-bangkok/hotel/bangkok-th.html",
"lat":13.725975,
"lng":100.518982,
"review_score":9.3,
"review_count":13061,
"is_available":true,
"price_per_night_incl":118.42,
"price_per_night_excl":100.62,
"crossed_out_price":0.0,
"currency":"USD",
"resultType":"hotel_search_result",
"city_id":9395,
"query":"Bangkok"
}

Property Output Example

{
"property_id":44842960,
"name":"Grande Centre Point Surawong Bangkok",
"address":"299 Thanon Surawong",
"city":"Bangkok",
"country":"Thailand",
"country_code":"th",
"stars":5.0,
"is_available":true,
"is_ready":true,
"pricing_enriched":false,
"pricing_quote":{
"check_in":"2026-06-01",
"check_out":"2026-06-03",
"adults":2,
"children":0,
"rooms_requested":1,
"currency":"USD",
"room_count":1
},
"rooms":[
{
"room_name":null,
"total_incl":118.42,
"total_excl":100.62,
"crossed_out":0.0,
"benefits":[]
}
],
"resultType":"property"
}

Review Output Example

{
"property_id":44842960,
"hotel_name":"Grande Centre Point Surawong Bangkok",
"star_rating":5.0,
"combined_score":9.3,
"combined_score_text":"Exceptional",
"review_count":13061,
"review_id":1073109886,
"provider_id":332,
"title":"Loved everything about this hotel",
"comment":"The room that we booked was massive with a great ceiling to floor glass window.",
"score":10.0,
"score_text":"Exceptional",
"review_date":"Feb 07, 2026",
"reviewer_name":"Czarina",
"reviewer_country":"United Kingdom",
"demographic":"Couple",
"room_type_name":"Premium King Room",
"resultType":"review"
}

Destination Resolution Notes

• Use search.query for convenient destination lookup.
• Use search.cityId when exact destination matching matters.
• Agoda may return neighborhoods, landmarks, or properties for specific destination text. When that happens, the Actor searches the parent city where possible.
• Neighborhood-specific filtering is not currently exposed as a separate input field.

Tips

• Keep limit small for first tests, then increase it after verifying the result shape.
• Provide exact dates when comparing pricing across multiple runs.
• Use cityId for repeatable destination targeting.
• Use offset with limit for paginated collection.
• Provide exactly one child age per child when children is greater than 0.
• Enable enrichPricing only when room-level pricing metadata is required, because it can increase runtime.

Troubleshooting

Legal Notice

Personal data may be protected by GDPR in the European Union and by other privacy regulations around the world. Only scrape and process personal data when you have a legitimate reason to do so. If you are unsure, consult a qualified legal professional.

For more general guidance, read Apify's article: Is web scraping legal?