If you've ever tried to manually track rental listings, you know it's a full-time job. That's why I built the Forrent Scraper. It's an Apify actor that automates the tedious work of collecting rental data from ForRent.com, so you can focus on analysis or finding a place to live. I use it to pull all the essential details—monthly rent, exact location, square footage, and the count of bedrooms and bathrooms—straight into a structured dataset. It even checks whether a listing is still active, which saves you from chasing down leads that are already gone. The scraper is built to handle the modern web. ForRent, like many sites, loads content dynamically, and this tool navigates that without a hitch. It also automatically clicks through all the pages of search results (pagination), ensuring you get a complete picture of the market, not just the first page. Whether you're a real estate analyst looking for pricing trends, a researcher compiling housing data, or just someone trying to find an apartment without refreshing the page every hour, this actor does the heavy lifting. You get clean, current data in a format you can actually use, like JSON or CSV, ready for your spreadsheet or application. It's the reliable, set-it-and-forget-it component I needed for my own projects.

What does this actor do?

Forrent Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

• Cloud-based execution - no local setup required
• Scalable infrastructure for large-scale operations
• API access for integration with your applications
• Built-in proxy rotation and anti-blocking measures
• Scheduled runs and webhooks for automation

How to Use

1. Click "Try This Actor" to open it on Apify
2. Create a free Apify account if you don't have one
3. Configure the input parameters as needed
4. Run the actor and download your results