Scrape hotel listings with prices from Booking.com using Brightdata & AI

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

This workflow automates the search and extraction of hotel data from Booking.com . Triggered by a chat message, it uses a combination of web scraping with [Bright Data's](https://get.brightdata.com...

Best for

Market Research automation workflows
AI Chatbot automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmchatopenrouter, n8n-nodes-base.stickynote, n8n-nodes-base.noop, n8n-nodes-base.wait, n8n-nodes-base.if, @brightdata/n8n-nodes-brightdata.brightdata, n8n-nodes-base.splitinbatches

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by phil.

Original n8n.io source

1.1 Workflow description

Title: Scrape hotel listings with prices from Booking.com using Brightdata & AI
Workflow name: Scrape hotel listings with prices from Booking.com using Brightdata & AI

This workflow automates the search and extraction of hotel data from Booking.com. Triggered by a chat message, it uses a combination of web scraping with Bright Data's Web Scraper and AI-powered data processing with OpenRouter to deliver a concise, human-friendly list of hotels.

The final output is a clean and formatted report, making it a valuable tool for travelers, event planners, and business professionals who need to quickly find accommodation options.

Who's it for

This template is ideal for:

Event Planners: Quickly identify and compare hotel options for conferences, meetings, or group travel.
Travel Agents: Efficiently research and provide clients with a curated list of accommodations based on their specified destination.
Business Travelers: Instantly find and assess hotel availability and pricing for upcoming trips.
Individuals: Streamline the hotel search process for personal vacations or short-term stays.

How it works

The workflow is triggered by a chat message containing a city name from an n8n chat application.
It uses Bright Data to initiate a web scraping job on Booking.com for the specified city.
The workflow continuously checks the status of the scraping job. Once the data is ready, it downloads the snapshot.
The extracted data is then passed to a custom AI agent powered by OpenRouter.
This AI agent uses a calculator tool to convert prices and an instruction prompt to refine and format the raw data.
The final output is a well-presented list of hotels, ready for display in the chat application.

How to set up

Bright Data Credentials: Sign up for a Bright Data account and create a Web Scraper dataset. In n8n, create new Bright Data API credentials and copy your API key.
OpenRouter Credentials: Create an account on OpenRouter and get your API key. In n8n, create new OpenRouter API credentials and paste your key.
Chat Trigger Node: Configure the "When chat message received" node. Copy the production webhook URL to integrate with your preferred chat platform.

Requirements

An active n8n instance.
A Bright Data account with a Web Scraper dataset.
An OpenRouter account with API access.

How to customize this workflow

Search Parameters: The "Initiate batch extraction from URL" node can be modified to change search criteria, such as check-in/check-out dates, number of adults and children, or property type.
Output Format: Edit the "Human Friendly Results" node's system message to change the format of the final report. You can modify the prompt to generate a JSON object, a CSV, or a different text format.
Price Conversion: The "Calculator" tool can be adjusted to perform different mathematical operations or currency conversions by modifying the AI agent's prompt.

Phil | Inforeole | Linkedin

🇫🇷 Contactez nous pour automatiser vos processus

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - parameters

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 2 - OpenRouter Chat Model2

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
Config choices: Version 1

Block 3 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 4 - check Snapshot Again

Type / Role: n8n-nodes-base.noOp - noOp
Config choices: Version 1

Block 5 - Wait

Type / Role: n8n-nodes-base.wait - wait
Config choices: Version 1.1

Block 6 - check if result ready

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 7 - Initiate batch extraction from URL

Type / Role: @brightdata/n8n-nodes-brightdata.brightData - brightData
Config choices: Version 1

Block 8 - Check the status of a batch extraction

Type / Role: @brightdata/n8n-nodes-brightdata.brightData - brightData
Config choices: Version 1

Block 9 - hotels

Type / Role: n8n-nodes-base.splitInBatches - splitInBatches
Config choices: Version 3

Block 10 - Download the snapshot content

Type / Role: @brightdata/n8n-nodes-brightdata.brightData - brightData
Config choices: Version 1

Block 11 - clean data

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 12 - When chat message received

Type / Role: @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices: Version 1.3

Block 13 - Aggregate

Type / Role: n8n-nodes-base.aggregate - aggregate
Config choices: Version 1

Block 14 - Human Friendly Results

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.2

Block 15 - Calculator

Type / Role: @n8n/n8n-nodes-langchain.toolCalculator - toolCalculator
Config choices: Version 1

Block 16 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 17 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 18 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Scrape hotel listings with prices from Booking.com using Brightdata & AI
Complexity	advanced
Nodes	18
Categories	Market Research, AI Chatbot
Author	phil
Published	22 Sept 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/8836/8836.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Market Research workflows AI Chatbot workflows

Frequently asked questions

What does Scrape hotel listings with prices from Booking.com using Brightdata & AI do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI Chatbot use case.

phil

14 workflows

Nodes

n8n-nodes-base.set @n8n/n8n-nodes-langchain.lmchatopenrouter n8n-nodes-base.stickynote n8n-nodes-base.noop n8n-nodes-base.wait n8n-nodes-base.if @brightdata/n8n-nodes-brightdata.brightdata n8n-nodes-base.splitinbatches

Complexity

advanced

Published 22 Sept 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/8836/8836.json

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Scrape hotel listings with prices from Booking.com using Brightdata & AI

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Who's it for

How it works

How to set up

Requirements

How to customize this workflow

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - parameters

Block 2 - OpenRouter Chat Model2

Block 3 - Sticky Note

Block 4 - check Snapshot Again

Block 5 - Wait

Block 6 - check if result ready

Block 7 - Initiate batch extraction from URL

Block 8 - Check the status of a batch extraction

Block 9 - hotels

Block 10 - Download the snapshot content

Block 11 - clean data

Block 12 - When chat message received

Block 13 - Aggregate

Block 14 - Human Friendly Results

Block 15 - Calculator

Block 16 - Sticky Note1

Block 17 - Sticky Note2

Block 18 - Sticky Note3

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions