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Real estate intelligence tracker with Bright Data & OpenAI

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Real estate intelligence tracker with Bright Data & OpenAI preview
Open on n8n.io

Important notice

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

1. Workflow Overview

Who this is for The Real Estate Intelligence Tracker is a powerful automated workflow designed for real estate analysts, investors, proptech startups, and market researchers who need to collect and...

Best for

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

Tools used

n8n-nodes-base.manualtrigger, n8n-nodes-base.set, n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.chainllm, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.informationextractor, n8n-nodes-base.googlesheets, n8n-nodes-base.function

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
Real estate intelligence tracker with Bright Data & OpenAI
Workflow name
Real estate intelligence tracker with Bright Data & OpenAI

Who this is for

The Real Estate Intelligence Tracker is a powerful automated workflow designed for real estate analysts, investors, proptech startups, and market researchers who need to collect and analyze structured data from real estate listings across the web at scale.

This workflow is tailored for:

  • Real Estate Analysts - Tracking property prices, locations, and market trends

  • Investment Firms - Sourcing high-opportunity listings for portfolio decisions

  • PropTech Developers - Automating listing insights for SaaS platforms

  • Market Researchers - Extracting insights from competitive housing data

  • Growth Teams - Monitoring geographic property trends and pricing fluctuations

What problem is this workflow solving?

Collecting structured real estate listing data from property websites is difficult due to bot protections and unstructured HTML content. Manual data collection is slow and error-prone, and traditional scrapers often get blocked or miss context.

This workflow solves:

  • Automated bypass of anti-bot protection using Bright Data Web Unlocker

  • Conversion of unstructured HTML content into clean text using a Markdown-to-text LLM pipeline

  • Structured extraction of key listing data like price, location, property type, and features using OpenAI

  • Aggregation and delivery of insights to Google Sheets, local storage, and webhook-based alerts

What this workflow does

Convert to Text: Transforms scraped HTML/markdown into clean text using a Basic LLM Chain

Structured Data Extraction: Uses OpenAI GPT-4o with the Information Extractor node to parse property attributes (price, address, area, type, etc.)

Aggregate & Merge: Combines data from multiple pages or listings into a cohesive structure

Outbound Data Handling:

  • Google Sheets – Appends the structured real estate data for further analysis

  • Save to Disk – Persists structured JSON/text data locally

  • Webhook Notification – Sends data alerts or summaries to any third-party platform

Pre-conditions

  1. You need to have a Bright Data account and do the necessary setup as mentioned in the "Setup" section below.
  2. You need to have an OpenAI Account.

Setup

  • Sign up at Bright Data.
  • Navigate to Proxies & Scraping and create a new Web Unlocker zone by selecting Web Unlocker API under Scraping Solutions.
  • In n8n, configure the Header Auth account under Credentials (Generic Auth Type: Header Authentication). The Value field should be set with the Bearer XXXXXXXXXXXXXX. The XXXXXXXXXXXXXX should be replaced by the Web Unlocker Token.
  • In n8n, Configure the Google Sheet Credentials with your own account. Follow this documentation - Set Google Sheet Credential
  • In n8n, configure the OpenAi account credentials.
  • Ensure the URL and Bright Data zone name are correctly set in the Set URL, Filename and Bright Data Zone node.
  • Set the desired local path in the Write a file to disk node to save the responses.

How to customize this workflow to your needs

Target Multiple Sites or Locations

  • Update the Bright Data URL node dynamically with a list of regional real estate websites

  • Loop through different city/state filter URLs

Customize Extracted Fields

Modify the Information Extractor prompt to extract fields like:

  • Property size, number of bedrooms/bathrooms

  • Days on market

  • Nearby amenities or schools

  • Agent contact details

Integrate with More Destinations

  • Add nodes to export data to Notion, Airtable, HubSpot, or your custom database

  • Generate automated reports using PDF generators and email them

Data Quality and Logging

  • Add validation checks (e.g., missing price or address)

  • Save intermediate files (markdown, raw HTML, JSON output) to disk for audit purposes

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 - When clicking ‘Test workflow’

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

Block 2 - Set URL and Bright Data Zone

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

Block 3 - Perform Bright Data Web Request

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 4 - Markdown to Textual Data Extractor

Type / Role
@n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices
Version 1.6

Block 5 - Sticky Note

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

Block 6 - Sticky Note1

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

Block 7 - Review Data Extractor

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

Block 8 - Structured Data Extractor

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

Block 9 - Google Sheets

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.5

Block 10 - Create a binary data for Structured Data Extract

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

Block 11 - Write the structured content to disk

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

Block 12 - Merge the responses

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3.1

Block 13 - Aggregate the responses

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

Block 14 - Initiate a Webhook Notification for the Structured Data

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 15 - Sticky Note5

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

Block 16 - OpenAI Chat Model for Markdown to Textual

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 17 - OpenAI Chat Model for Structured Data

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 18 - OpenAI Chat Model for Review Data Extractor

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 19 - Sticky Note4

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

3. Summary Table

Workflow Real estate intelligence tracker with Bright Data & OpenAI
Complexity advanced
Nodes 19
Categories Market Research, AI Summarization
Author Ranjan Dailata
Published 21 May 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/4281/4281.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

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

  4. 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. 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.

Frequently asked questions

What does Real estate intelligence tracker with Bright Data & OpenAI do?

Who this is for The Real Estate Intelligence Tracker is a powerful automated workflow designed for real estate analysts, investors, proptech startups, and market researchers who need to collect and...

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 Summarization use case.