πŸ“Š Monitor Realtor listings and export CSV/XLSX with MrScraper and Gmail

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Description

Automated real estate monitoring with MrScraper

Who’s it for

Real estate investors, agents, proptech teams, and business intelligence professionals who need continuous property price monitoring with automated data collection and AI-ready outputs for reporting and decision-making.

What it does

This workflow automatically collects real estate listing data from Realtor, including key fields such as property price, listing title, and location. It is designed to capture the full set of available real estate data for the selected search criteria.

The workflow consolidates the scraped data into a single structured dataset, removes inconsistencies, and formats the output into a clean CSV file. This makes it easy to import into spreadsheets, databases, or analytics tools for further analysis, reporting, or automation.

How it works

How to set up

1. Set up your scraper

Create two manual scrapers on the MrScraper Platform:

This separation ensures the workflow can scale and be reused efficiently.

2. Customize extracted data

In the data extraction scraper, customize the fields according to your needs (for example: price, title, location, etc.).

If you need help automating or configuring the extraction logic, you can contact the MrScraper team for assistance.

3. Configure API credentials

Requirements

MrScraper account to create and manage the scrapers Gmail account to receive the extracted results via email Google Drive account to store the extracted results (optional)

How to customize the workflow

πŸ”— Nodes Used

Google Drive, Gmail, Schedule Trigger, Convert to File

πŸ“₯ Import

Download workflow.json and import into n8n: Workflow menu β†’ Import from File

πŸ“– Importing guide Β· πŸ”‘ Credential setup