Marketing
Monitor & Analyze Viral Insta Creators
This workflow automates the analysis of viral Instagram Reels by fetching data from specified creators, sorting them by views, and using Gemini AI to identify key characteristics. It stores these insights in Airtable to help users replicate successful content strategies.
Built · ~9.5 hours saved per week
This workflow is for anyone who wants to find and study popular Instagram Reels. It is helpful for content creators, marketers, or researchers.
This workflow automatically finds top Instagram Reels from specific creators, analyzes their content using AI, and saves the details into an Airtable database. This helps users understand what makes a Reel popular without doing it all by hand.
First, create accounts with Airtable, Apify, and Google Gemini. Then, replace the placeholder tokens in the workflow nodes with your actual API keys for Apify and Gemini. Configure the Airtable nodes to connect to your specific bases and tables for creators and videos. Lastly, set up the schedule trigger to decide how often the workflow should run.
You need accounts for n8n, Airtable, Apify (for Instagram scraping), and Google Gemini (for AI video analysis). You also need basic computer skills to set up API keys and configure the workflow.
You can change the list of Instagram creators it monitors by updating your Airtable. You can also change the prompt given to Gemini AI to focus on different aspects of the video analysis. You can adjust how many Reels it fetches and how frequently it runs.
Key Technologies: n8n,Airtable,Google Gemini AI,Apify Instagram Scraper,HTTP Requests
Automation Value: Automatically discovers trending Instagram Reels. Reduces manual effort in data collection and content analysis. Provides AI-powered insights into video content. Centralizes data in Airtable for easy tracking and reporting.
Best Practices: Ensure all API keys (Apify, Gemini) are securely stored and replaced in the workflow. Regularly review the AI prompt to ensure it captures the desired analysis points and adjust as needed. Monitor Airtable for processed data and any errors in data entry. Adjust the "Wait" node duration to comply with API rate limits and prevent errors. Consider adding error handling for failed API requests or file uploads to make the workflow more reliable.
Tags: Web Scraping, Reports & Analytics, System (Parent/Child), Content Management, AI Automation, Airtable
Integrations: HTTP, Sub-workflow, Airtable, Schedule