Block 1 - Start Zillow Scraper
- Type / Role
- @apify/n8n-nodes-apify.apifyTrigger - apifyTrigger
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
This workflow automates the process of scraping, analyzing, and storing real estate data from Zillow using Apify, OpenAI, and Google Sheets. It begins by running an Apify Actor that extracts live p...
@apify/n8n-nodes-apify.apifytrigger, n8n-nodes-base.set, n8n-nodes-base.splitinbatches, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.googlesheets, n8n-nodes-base.stickynote, @apify/n8n-nodes-apify.apify
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Fabian Perez.
Original n8n.io sourceThis workflow automates the process of scraping, analyzing, and storing real estate data from Zillow using Apify, OpenAI, and Google Sheets.
It begins by running an Apify Actor that extracts live property details such as price, location, and key features. The data is then cleaned and processed before being analyzed by an AI model that assigns an investment potential score (1–10).
To maintain reliable results, the AI only scores properties that include all required fields — for example, listings missing price or description data are automatically skipped. This ensures that only complete and accurate information is evaluated.
Finally, all valid results are appended or updated in a Google Sheet, creating a central, always-up-to-date property database for future analysis.
Ideal for real estate investors, analysts, and data-driven agencies, this template provides a fully automated loop for property collection, evaluation, and reporting — all in one flow.
Tools used: Apify, OpenAI, Google Sheets, n8n
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.
| Workflow | Analyze real estate investment potential: Zillow properties to Google Sheets with GPT-4o |
|---|---|
| Complexity | intermediate |
| Nodes | 12 |
| Categories | Market Research, AI Summarization |
| Author | Fabian Perez |
| Published | 07 Oct 2025 |
Use the JSON export at /data/workflows/9335/9335.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
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.
This workflow automates the process of scraping, analyzing, and storing real estate data from Zillow using Apify, OpenAI, and Google Sheets. It begins by running an Apify Actor that extracts live p...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
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.