Agoda Hotels Scraper

Extract structured hotel listing data from Agoda search contexts for analysis, monitoring, and travel intelligence workflows. Collect property names, links, ratings, prices, location hierarchy, review signals, and facilities in one clean dataset. Designed for reliable large-scale collection with compact records that exclude empty fields.

Features

• Hotel listing extraction — Collects Agoda property listings with pagination support.
• Rich property profiles — Captures names, URLs, ratings, location details, and property type.
• Price and review signals — Returns average price, review score, review count, and snippets when available.
• Media and amenity context — Includes primary image links and facility highlights.
• Clean output records — Removes null and empty fields from each dataset item.

Use Cases

Competitive Rate Intelligence

Track hotel pricing and review signals across destinations to benchmark market positioning.

Destination Supply Monitoring

Measure available hotels, category mix, and property quality distribution in targeted cities.

Travel Product Data Pipelines

Feed structured hotel data into recommendation engines, BI dashboards, and reporting tools.

Hospitality Market Research

Analyze location-level hotel trends, accommodation types, and quality indicators over time.

---

Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	https://www.agoda.com/city/manila-ph.html?ds=RftIdmhrzKRMU0Ha	Agoda listing URL (city/search/property listing URL).
results_wanted	Integer	No	20	Maximum hotel records to save.
proxyConfiguration	Object	No	{"useApifyProxy": true}	Proxy settings for higher reliability.

---

Output Data

Each dataset item may contain the following fields (only non-empty values are saved):

Field	Type	Description
property_id	Integer	Agoda property identifier.
property_name	String	Primary property display name.
property_url	String	Agoda property page URL.
city_name	String	Property city name.
country_name	String	Property country name.
property_type	String	Property category.
star_rating	Number	Star rating value.
average_price	Number	Average price value.
currency	String	Currency code for price.
review_score	Number	Aggregate review score.
review_count	Integer	Total number of reviews.
facility_highlights	Array	Highlighted property facilities.
primary_image_url	String	Main image URL.
top_review_snippet	String	Sample review snippet when available.
source_page	Integer	Pagination page where record was found.
source_url	String	Input Agoda URL used for the run.
scraped_at	String	ISO timestamp of extraction.

---

Usage Examples

Basic Collection

{
  "startUrl": "https://www.agoda.com/city/manila-ph.html?ds=RftIdmhrzKRMU0Ha",
  "results_wanted": 20
}

Search URL Collection

{
  "startUrl": "https://www.agoda.com/search?selectedproperty=55804537&checkIn=2026-04-13&los=1&rooms=1&adults=1&children=0",
  "results_wanted": 40
}

Larger Batch with Proxy

{
  "startUrl": "https://www.agoda.com/city/manila-ph.html?ds=RftIdmhrzKRMU0Ha",
  "results_wanted": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

---

Sample Output

{
  "property_id": 5610,
  "property_name": "The Heritage Hotel Manila",
  "property_url": "https://www.agoda.com/heritage-hotel/hotel/manila-ph.html",
  "city_name": "Manila",
  "country_name": "Philippines",
  "property_type": "Hotel",
  "star_rating": 4,
  "average_price": 136.815555,
  "currency": "USD",
  "review_score": 8.1,
  "review_count": 27583,
  "facility_highlights": [
    "Airport transfer",
    "Swimming pool",
    "Fitness center"
  ],
  "primary_image_url": "https://pix8.agoda.net/hotelImages/5610/0/68daaf79c238135ba474a0b283ced87e.jpg?ce=3",
  "top_review_snippet": "Great location and very helpful staff.",
  "source_page": 1,
  "source_url": "https://www.agoda.com/search?selectedproperty=55804537&checkIn=2026-04-13&los=1&rooms=1&adults=1&children=0",
  "scraped_at": "2026-04-04T06:30:00.000Z"
}

---

Tips for Best Results

Start with a Working Agoda URL

• Use valid Agoda URLs that include destination or selected property context.
• Keep startUrl aligned with your target market and stay period.

Control Output Volume

• Use results_wanted: 20 for fast checks.
• Increase results_wanted gradually for larger runs.

Improve Stability at Scale

• Enable proxy usage for larger batches.

---

Integrations

Connect your dataset with:

• Google Sheets — Quick filtering and reporting.
• Airtable — Build searchable hotel catalogs.
• Looker Studio — Visualize market and pricing trends.
• Webhooks — Push records to custom systems.
• Make — Orchestrate automated workflows.
• Zapier — Trigger downstream actions from new data.

Export Formats

• JSON — App and integration workflows
• CSV — Spreadsheet analysis
• Excel — Stakeholder reporting
• XML — Legacy system interoperability

---

Frequently Asked Questions

Can I collect more than one page of hotels?

Yes. The actor paginates automatically until results_wanted is reached or limits are hit.

What if I only know a property URL?

Use startUrl with a valid Agoda property/search context. The actor resolves city context automatically when possible.

Why do some fields differ between records?

Some Agoda listings have richer metadata than others. Empty values are omitted intentionally.

Can I run this on a schedule?

Yes. You can schedule runs and export fresh datasets on a recurring basis.

Does it support localization?

The actor uses stable default locale/origin/currency settings automatically for consistent output.

---

Support

For issues or feature requests, use the actor support channel in Apify Console.

Resources

• Apify Documentation
• Apify API Reference
• Apify Scheduling

---

Legal Notice

This actor is intended for lawful data collection and analysis. You are responsible for complying with Agoda terms, local regulations, and applicable data-use requirements.