How to Scrape and Extract X Posts with TypeScript

Manually monitoring and extracting relevant conversations on X (formerly Twitter) can be tedious, complex, and unreliable, especially with evolving APIs, access restrictions, and limitations in scraping tools. Without automation, developers often face authentication hurdles like OAuth, two-factor authentication, and Captcha verification that slow down data collection.

The Airtop automation leveraging TypeScript eliminates these hurdles by automating the extraction of X posts through real browser sessions, handling full login and authentication flows seamlessly. Developers receive reliable, structured JSON outputs, ensuring they accurately capture targeted conversations without manual scraping or unstable API limitations.

Who is this Automation for?

• Automation Engineers

• Social Media Analysts

• Software Developers

• Market Research Teams

Key Benefits

• Reliable Real Browser Sessions

• Fully Authenticated Access (OAuth, 2FA, Captcha)

• Structured JSON Output

• Flexible TypeScript Integration

Use Cases

• Monitoring brand mentions and user sentiment on X

• Competitive analysis by tracking competitor discussions

• Automating social listening for rapid market insights

• Extracting trending topics relevant to your niche audience

Getting Started with the Extract X Posts Automation

Quickly set up reliable X post extraction with Airtop and TypeScript.

How the Extract X Posts Automation Works

Using Airtop's real browser session technology, this automation signs into your X account via secure authentication (OAuth, Captcha, 2FA). It automatically searches for designated topics or keywords, accurately extracts relevant posts in structured JSON format, and provides consistent results directly in your TypeScript application, eliminating manual work and unreliable scraping methods.

What You'll Need

• An Airtop Account

• Node.js and TypeScript Environment

• Your X (Twitter) Credentials

• List of Target Keywords or Topics

Setting Up the Automation

1. Create or log in to your Airtop account.

2. Install Airtop's TypeScript library in your Node.js project using npm.

3. Configure your X credentials and authentication method within your Airtop session.

4. Define your topic searches and targeted keywords in the automation configuration.

5. Run your TypeScript script and access structured JSON output securely and consistently.

Customize the Automation

Airtop and TypeScript enable you to easily tailor the X post extraction automation to fit your precise needs. Examples include:

• Adjusting search frequency and scheduling for real-time or periodic monitoring.

• Filtering extracted posts by specific accounts, hashtags, or languages.

• Integrating sentiment analysis or NLP tools with the standard JSON output.

• Automatically triggering notifications or alerts based on specific post criteria.

Automation Best Practices

• Regularly update keywords and topics to maintain comprehensive coverage.

• Securely store authentication tokens and sensitive credentials.

• Monitor and fine-tune your extraction frequency to comply with X guidelines.

• Implement error handling in your TypeScript workflow for smoother automation.