What Does BrowserAct Booking.com Hotel Details Scraper Do?
Use BrowserAct Booking.com Hotel Details Scraper to collect public property details from one Booking.com hotel page, including hotel_name, description, review_score, address, source_url. The Bot stays within the selected public Booking.com page flow and returns structured hotel details for hospitality research, property profile enrichment, or downstream automation without writing code or requiring a target-site login. Run it in BrowserAct or invoke the same published template through its API Tab.
Key Features of Booking.com Hotel Details Scraper
- Configure
hotel_urlto reuse the same Bot for different public Booking.com targets. - Collect public property details from one Booking.com hotel page from the template's defined public page flow.
- Return structured hotel details with fields such as
hotel_name,address,description,property_type,review_score. - Run without a target-site account login or custom scraper code.
- Use the API Tab to connect the same published template to downstream automation.
What Data Can I Extract from Booking.com?
| Field | Description |
|---|---|
hotel_name | Visible hotel name shown on Booking.com. |
address | Publicly displayed address when available. |
description | Visible description returned by the public page. |
property_type | Property Type returned from the public Booking.com page. |
review_score | Structured review score extracted from the public source. |
review_label | Review Label returned from the public Booking.com page. |
review_count | Structured review count extracted from the public source. |
facilities | Facilities returned from the public Booking.com page. |
review_categories | Review Categories returned from the public Booking.com page. |
source_url | Public source URL associated with the hotel details. |
How to Use Booking.com Hotel Details Scraper
Quick Start Guide
1. Open Run Task.
2. Review or change the populated input values.
3. Run the Bot.
4. Review the structured result in the Output Tab.
5. Connect the published template to your downstream workflow when needed.
Input Parameters
| Parameter | Configuration |
|---|---|
hotel_url | String; required; default https://www.booking.com/hotel/us/new-york-95-west-broadway.html. Public hotel url to process. |
Example Output
The table shows one representative real result. Long text is shortened only in this documentation preview.
| Field | Result |
|---|---|
hotel_name | The Frederick Hotel Tribeca, a Small Luxury Hotel |
address | 95 West Broadway, Tribeca, New York, NY 10007, United States |
description | Just steps from New York City Hall and City Hall Park. The Frederick is ideally located in Lower Manhattan. The 9/11 Memorial and Museum, SoHo, Wall Street, and the World Financial Center are all within easy reach, wh... |
property_type | Hotel |
review_score | 8.3 |
review_label | Very Good |
review_count | 2209 |
facilities | [{"category":"Most popular amenities","name":"Free Wifi"},{"category":"Most popular amenities","name":"Parking"},{"category":"Most popular amenities","name":"Family rooms"},{"category":"Most popular amenities","name":... |
review_categories | [{"category":"Staff","rating":8.9},{"category":"Facilities","rating":8.3},{"category":"Cleanliness","rating":8.6},{"category":"Comfort","rating":8.7},{"category":"Value for money","rating":8},{"category":"Location","r... |
source_url | https://www.booking.com/hotel/us/new-york-95-west-broadway.html |
How Does It Work?
1. BrowserAct validates the supplied inputs and maps supported dropdown selections.
2. The Bot constructs or normalizes the target URL and opens the supplied public detail page.
3. It reads the visible hotel details without entering unrelated pages or account-only areas.
4. It normalizes visible values, preserves valid optional values, and stops after the target page has been processed.
5. The run returns one structured response for review, export, or downstream automation.
How to Build a New Scraper Bot with Agent Built
Step 1: Describe the data you need
Open BrowserAct and start Agent Built from the Home prompt box or from Create > Build with Agent. Describe the public website, records, filters or search conditions, output fields, result limit, and reusable inputs you need.
Step 2: Let BrowserAct build and test the Bot
BrowserAct explores the live website, creates the navigation and extraction workflow, and tests the resulting Bot. Provide any requested clarification about the target page, conditions, fields, or expected output in the same build conversation.
Step 3: Run the Bot and review the result
Run the completed Bot with its populated default inputs. Review the structured records, source URLs, missing optional values, and result count before reusing the Bot with other inputs or connecting it to another workflow.
Use Cases
- Hospitality research.
- Property profile enrichment.
- Travel catalog maintenance.
- Connect the structured result to API clients, n8n, Make, Zapier, MCP-based agents, or supported exports.
Why Use Booking.com Hotel Details Scraper?
- Reuse a tested public-page workflow instead of configuring the extraction from the beginning.
- Receive structured hotel details that can move directly into research, review, or automation.
- Change supported inputs without rebuilding the Bot for every run.
Who Can Use Booking.com Hotel Details Scraper?
- Teams working on hospitality research.
- Teams working on property profile enrichment.
- Teams working on travel catalog maintenance.
- Developers and automation teams connecting public web data to downstream systems.
How Many Results Can You Scrape?
Each run processes one selected public target and returns one structured result for that target.
Automation and Export
BrowserAct produces structured data first. Use the result through Run Task, the JSON API, n8n, Make, Zapier, MCP-based agents, or the supported manual export flow.
Need Help?
Cannot find the exact capability you need, or need help composing several Bots?
