Skip to main content

Score property investments using Claude (Anthropic), Google Sheets and Slack

Workflow preview

Workflow preview
100%
Score property investments using Claude (Anthropic), Google Sheets and Slack preview
Open on n8n.io

1. Workflow Overview

This workflow scrapes property listings, enriches them with market data, and uses Claude AI to score each listing's investment potential based on rental yield, capital growth trends, location desir...

Best for

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

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.scheduletrigger, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.code, n8n-nodes-base.merge, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatanthropic

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
Score property investments using Claude (Anthropic), Google Sheets and Slack
Workflow name
Score property investments using Claude (Anthropic), Google Sheets and Slack

This workflow scrapes property listings, enriches them with market data, and uses Claude AI to score each listing's investment potential based on rental yield, capital growth trends, location desirability, and risk factors.

How it works

  1. Trigger - Scheduled run initiates a scrape job
  2. Scrape Listings - Fetches property listings from target URL(s) via HTTP
  3. Parse Listings - Extracts structured data (price, bedrooms, suburb, etc.)
  4. Fetch Market Data - Pulls suburb median prices, rental yields, vacancy rates
  5. Fetch Demographics - Gets population growth, income levels, infrastructure data
  6. Combine Enrichment - Merges all data per listing
  7. AI Investment Scoring - Claude AI scores each listing (0–100) with rationale
  8. Filter Top Picks - Keeps listings above configurable score threshold
  9. Format Report - Builds a clean investment report
  10. Save to Google Sheets - Logs all scored listings for tracking
  11. Send Digest - Posts top picks to Slack or email

Setup Steps

  1. Import workflow into n8n
  2. Configure credentials:
  • Anthropic API - Claude AI for investment scoring
  • Google Sheets - Results & historical tracking
  • Slack OAuth - Daily digest notifications
  • RapidAPI / Zillow / Domain API - Property market data
  1. Set your target listing URLs in the 'Configure Scrape Targets' node
  2. Set your score threshold (default: 65) in 'Filter Top Picks'
  3. Set your Google Sheet ID and Slack channel
  4. Activate the workflow or POST to the webhook

Sample Webhook Payload

{
 "searchUrl": "https://www.domain.com.au/sale/sydney/?bedrooms=2-4&price=500000-900000",
 "suburb": "Parramatta",
 "maxListings": 20,
 "scoreThreshold": 65
}

Scoring Criteria (Claude AI)

  • Rental Yield - Gross and estimated net yield vs suburb average
  • Capital Growth - 5-year suburb price trend
  • Location Score - Transport, schools, amenities proximity
  • Vacancy Risk - Suburb rental demand and vacancy rate
  • Cash Flow - Estimated weekly cash flow after mortgage
  • Risk Flags - Flood zones, high crime, oversupply signals

Features

  • Multi-source market enrichment
  • AI-powered investment scoring with SWOT analysis
  • Automated filtering of top-performing listings
  • Google Sheets audit trail with historical scores
  • Slack/email digest of daily top picks

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 - Sticky Note

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

Block 2 - Sticky Note1

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

Block 3 - Sticky Note2

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

Block 4 - Sticky Note3

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

Block 5 - Sticky Note4

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

Block 6 - Daily Schedule Trigger

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.2

Block 7 - Configure Scrape Targets

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

Block 8 - Scrape Property Listings

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

Block 9 - Parse Listing Data

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 10 - Fetch Suburb Market Data

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

Block 11 - Fetch Area Demographics

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

Block 12 - Fetch Rental Yield Data

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

Block 13 - Merge Enrichment Sources

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

Block 14 - Combine All Property Data

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 15 - Score Investment with Claude AI

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

Block 16 - Claude AI Model

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

Block 17 - Parse AI Investment Score

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 18 - Filter Top Picks by Score

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

Block 19 - Format Investment Report

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 20 - Save All Scored Listings to Sheets

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

Block 21 - Send Top Picks Digest to Slack

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

Block 22 - Return Final Report

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

3. Summary Table

Workflow Score property investments using Claude (Anthropic), Google Sheets and Slack
Complexity advanced
Nodes 22
Categories Market Research, AI Summarization
Author Oneclick AI Squad
Published 25 Feb 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/13686/13686.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 Score property investments using Claude (Anthropic), Google Sheets and Slack do?

This workflow scrapes property listings, enriches them with market data, and uses Claude AI to score each listing's investment potential based on rental yield, capital growth trends, location desir...

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.