Schedule Trigger Automate

Automated workflow for scheduling daily tasks on Product Hunt, fetching today's posts, extracting product information, and appending details to Google Sheets. Streamline your data collection and enhance productivity with seamless integration and real-time updates.

7/8/2025
12 nodes
Medium
schedulemediumschedule triggersticky notegooglesheetsautomationadvancedcronapiintegrationcodecustom
Categories:
Schedule TriggeredData Processing & AnalysisMedium Workflow
Integrations:
Schedule TriggerSticky NoteGoogleSheets

Target Audience

This workflow is ideal for:
- Product Managers looking to track daily trending products on Product Hunt.
- Marketers aiming to gather insights on new product launches for promotional strategies.
- Developers wanting to automate the collection of product information for analysis or integration into other systems.
- Entrepreneurs seeking to stay updated with the latest innovations in their industry.

Problem Solved

This workflow addresses the challenge of manually tracking and collecting daily posts from Product Hunt. It automates the process of fetching trending products, extracting relevant information, and storing it in Google Sheets, saving time and ensuring that users never miss out on important product launches.

Workflow Steps

  • Daily Trigger: The workflow starts with a scheduled trigger that activates daily, ensuring it runs at the same time each day.
    2. Set Date: The current date is set in a format suitable for querying the Product Hunt API.
    3. Fetch Posts: An HTTP request is made to the Product Hunt API to retrieve posts from the current day, ensuring only relevant data is collected.
    4. Extract Product Info: The response from the API is processed to extract important product details such as name, tagline, description, and website.
    5. Resolve Website Redirection: Each product's website is checked for any redirection to ensure accurate URLs are stored.
    6. Data Preparation: The relevant product information and resolved URLs are organized for the next steps.
    7. Merge Data: The product data and website redirection data are merged to create a comprehensive dataset.
    8. Store in Google Sheets: Finally, all the collected information is appended to a Google Sheets document for easy access and further analysis.

    • Customization Guide

    To customize this workflow:
    - Change the Trigger Frequency: Adjust the schedule trigger settings to run at different intervals (e.g., hourly or weekly) based on your needs.
    - Modify API Request: Update the API query parameters to fetch different sets of data or more posts by changing the GraphQL query in the HTTP request node.
    - Customize Data Fields: Add or remove fields in the data preparation step to include additional product attributes or exclude unnecessary ones.
    - Update Google Sheets Settings: Change the Google Sheets document ID and sheet name to store the data in a different spreadsheet or tab.
    - Add Additional Processing: Integrate more nodes for further data processing or notifications (e.g., sending emails or messages when new products are added).