How to Scrape and Extract X Post Replies with TypeScript

Manually tracking replies to your X posts is tedious, time-consuming, and unreliable when using traditional scraping methods or limited API calls. These challenges become significant roadblocks for developers and automation engineers seeking structured insights for audience analysis or engagement tracking.

This Airtop automation built with TypeScript resolves these challenges by providing robust extraction using real browser sessions, ensuring reliable data collection even from dynamically loaded content and complex OAuth logins. Whether your post interactions involve captcha verification, OAuth login, or two-factor authentication, the automation seamlessly navigates these hurdles, delivering structured JSON outputs ready for integration.

Who is this Automation for?

• JavaScript/TypeScript Developers

• Marketing Automation Engineers

• Social Media Analysts

• Data Engineers

Key Benefits

• Real browser sessions to reliably extract data from dynamic content

• Full login support including OAuth, 2FA, and Captcha handling

• Structured JSON output for quick integration into your systems

• Automated, scalable monitoring and extraction of X interactions

Use Cases

• Collecting user sentiment based on X replies to brand announcements

• Tracking public response for rapid analysis of event-driven campaigns

• Extracting follower engagement metrics for influencer partnerships

• Gathering structured data from competitor posts for market analysis

Getting Started with the Extract X Post Replies Automation

Setting up this Airtop automation with TypeScript is straightforward. Follow these steps to reliably extract replies from X posts.

How the Extract X Post Replies Automation Works

This automation utilizes Airtop’s TypeScript SDK to run real browser sessions, accurately navigating X's dynamically-loaded content and fulfilling complex login requirements such as OAuth, 2FA, and captcha challenges. It reliably captures replies from specified posts, automatically structuring extracted user comments, timestamps, usernames, and profile data into JSON format for easy integration with your analytics, marketing automation, or CRM tools.

What You'll Need

• Airtop account

• Node.js environment with TypeScript installed

• Login credentials for the X account (OAuth capable)

• Target X post URLs to monitor and extract replies from

Setting Up the Automation

1. Log into your Airtop account and obtain API credentials.

2. Install Airtop TypeScript SDK using npm in your Node.js environment.

3. Configure your OAuth credentials for authenticated X access within Airtop.

4. Specify the X post URL(s) you want to monitor and define extraction parameters.

5. Run your TypeScript script and receive structured JSON output with replies data.

Customize the Automation

You can easily customize and extend this automation using Airtop's versatile TypeScript SDK:

• Filter extracted replies based on keywords, hashtags, or mentions for targeted insights.

• Set schedules or webhook notifications when new replies exceed a certain threshold.

• Adapt output formats or integrate the structured data directly into databases, dashboards, or third-party APIs.

• Adjust the scraping frequency or depth of data captured to accommodate high-volume analysis.

Automation Best Practices

• Use dedicated OAuth credentials rather than personal logins for better security.

• Set realistic rate limits and scraping intervals to mimic natural browsing behavior.

• Regularly validate extracted data fields and parameters to maintain output reliability.

• Implement logging and error handling within your TypeScript integration for quick troubleshooting.