How to Extract Century 21 Property Information with TypeScript

Real estate professionals, data analysts, and automation engineers often face the daunting challenge of gathering and maintaining up-to-date property data from major listing platforms like Century 21. Manually collecting property details is time-consuming, error-prone, and rarely scalable—especially when you need comprehensive information for dozens or hundreds of listings. Additionally, traditional scraping tools or unofficial APIs may struggle with dynamic content or changing website layouts, causing unreliable results and significant maintenance overhead.

Airtop’s Century 21 Extraction automation, powered by TypeScript, changes the game by using real browser sessions to access, navigate, and extract property information directly from Century 21’s online listings. Century 21 is known for rich, structured property data and dynamically loaded pages, making reliable automation essential for extracting pricing, location, features, and more. This automation consistently fetches fresh and detailed listings data in structured JSON format, without the need for platform logins or authentication, and is resilient to changes in page structure thanks to Airtop’s robust automation framework.

With TypeScript, integration into your workflows is seamless—enabling technical teams to customize, scale, and integrate property data extraction for reporting, analysis, or feed generation. Enjoy hands-off, reliable data extraction from Century 21, eliminating errors while unlocking efficiency, accuracy, and instant access to structured property insights.

Who is this Automation for?

• Real estate analysts collecting active property listings for market research

• Developers building property feeds or portals requiring up-to-date listings

• PropTech founders and product managers seeking to automate competitor intelligence

• Commercial real estate teams aggregating Century 21 data for investment analysis

Key Benefits

• Real browser sessions ensure resilient, no-login scraping

• Structured JSON output ready for integration and automation

• Eliminates manual copy-paste and export errors

• Seamless TypeScript support for advanced customizations

Use Cases

• Aggregating all Century 21 property listings for a specific region

• Generating daily market reports on price changes, new listings, and delistings

• Powering real estate comparison or search engines with up-to-date Century 21 data

• Populating dashboards for real estate investment or sales teams

• Pushing structured listing data into CRMs, analytics tools, or data warehouses

• Monitoring inventory for multi-office franchises

• Backing up Century 21 listings for audit and compliance purposes

Getting Started with the Extract Century 21 Information Automation

Getting started is straightforward—extract property data from Century 21 in minutes.

How the Extract Century 21 Information Automation Works

This automation uses Airtop’s browser automation platform with a prebuilt TypeScript setup to visit Century 21’s property listing pages, dynamically load listings, and parse out vital fields like address, price, features, and agent contact details. The process runs in a real browser environment, which means it navigates and interacts with the website as a human would. All extracted data is returned in clean, machine-readable JSON, ready for your downstream applications, with no authentication required and adaptable to any region or property type listed on Century 21.

What You’ll Need

• A free Airtop account (sign up here)

• A TypeScript development environment

Setting Up the Automation

1. Click on Try Automation on the Century 21 Extraction page.

2. Start the session and follow the guided prompts.

3. Click Run to execute the automation and extract property data.

4. Optional: Click Get Code to download the TypeScript code and integrate it into your projects or backend processes.

Customize the Automation

You can tailor this automation to your specific Century 21 data needs using Airtop and TypeScript:

• Filter and extract only properties within a specific city, price range, or property type

• Expand the extracted fields, such as photo galleries, agent profiles, or amenities

• Adjust frequency to run daily, weekly, or in near real-time to match your workflow

• Integrate extracted data directly with internal databases or analytics dashboards

Automation Best Practices

• Regularly review field mappings to ensure compatibility with changes to Century 21’s site

• Limit the extraction to necessary fields to optimize performance

• Schedule automation runs during off-peak hours for faster results

• Validate and clean extracted data before using it for analytics or reporting

Try this Automation

Quickly unlock reliable, scalable, and structured property listing data from Century 21—no authentication hassles, no manual data entry, and seamless integration with your TypeScript-based workflows.

Extract Century 21 Information Automation (TypeScript)
Need help customizing this automation? Book a Demo today!