How to Discover Relevant ProductHunt Launches with TypeScript

Monitoring and extracting fresh product launch data from platforms like ProductHunt can be challenging. Manual searches involve extensive effort and yield inconsistent or incomplete results, while traditional scrapers often fail due to evolving page structures, dynamic content, and promotional distractions like sponsored listings.

This Airtop automation, powered by TypeScript, elegantly solves these obstacles by utilizing real browser sessions for dependable data gathering. It effortlessly bypasses sponsored listings and provides structured, JSON-formatted output containing precise details about new ProductHunt launches. OAuth, 2FA, or Captcha are reliably managed, ensuring consistent and uninterrupted automation.

Who is this Automation for?

• Developers building product discovery apps

• Growth and market analysts tracking new launches

• Technical marketers monitoring product categories

• Automation engineers streamlining data collection workflows

Key Benefits

• Real browser sessions to accurately navigate dynamic ProductHunt content

• Structured JSON output for immediate integration

• Robust filtering that excludes sponsored posts

• Secure authenticated access through OAuth and Captcha support

Use Cases

• Daily monitoring of niche-specific product launches for competitive intelligence

• Automated alerts of trending products to product managers and investors

• Populating innovation dashboards with new startup launches

• Generating feed data for newsletters covering ProductHunt trends

Getting Started with the Discover Relevant ProductHunt Launches Automation

Follow these instructions to quickly set up reliable automation for discovering targeted ProductHunt product launches with TypeScript and Airtop.

How the Discover Relevant ProductHunt Launches Automation Works

The automation begins by initiating a real browser session hosted by Airtop, navigating directly to the ProductHunt homepage or specific category pages. Using TypeScript, it intelligently identifies and discards sponsored items, captures structured information about authentic product launches, and formats it clearly in JSON. Airtop's built-in support for OAuth, 2FA, and dynamic interactions ensures seamless, authenticated access without interruption or IP bans.

What You'll Need

• An Airtop account

• Node.js with TypeScript environment

• ProductHunt account credentials (optional for personalized feed)

• Target URL(s) from ProductHunt for product discovery

Setting Up the Automation

1. Create or log into your Airtop account and obtain your API key.

2. Install Airtop's TypeScript SDK using npm or yarn.

3. Configure your automation script with target ProductHunt URLs and authentication details.

4. Define JSON output schema specifying the exact product data fields needed (title, URL, votes, category, etc.).

5. Execute the TypeScript script and begin receiving structured data outputs directly from ProductHunt.

Customize the Automation

You can easily customize this Airtop automation with TypeScript to fit specific requirements:

• Add advanced filters to target particular categories, dates, or minimum upvote thresholds

• Schedule periodic runs to automatically track daily or weekly launches

• Enhance extracted product listings with further web enrichment, such as founder details or related products

• Integrate with Slack, Airtable, or other data tools for seamless team collaboration

Automation Best Practices

• Always test automation scripts on sample ProductHunt pages before deploying at scale

• Use environment variables for API keys and sensitive settings

• Monitor automation logs regularly for capturing unexpected web structure changes

• Optimize JSON data schema by selecting only the data fields relevant to your business use case