n8n Operations Pack (Airtable) — 3 Workflows

Name: n8n Operations Pack (Airtable) — 3 Workflows
Brand: Neura Market
Availability: InStock

Automate YouTube trend discovery with Apify, AI, and Airtable in n8n.

What This Pack Does

This pack bundles three n8n workflows that automate YouTube trend discovery and data storage using Airtable and Apify. The first workflow retrieves niche keywords weekly, scrapes YouTube search results via Apify, and waits for further processing. The second workflow uses YouTube APIs to analyze video performance metrics from the past two days to identify trending topics. The third workflow automates weekly scraping of YouTube videos for niche keywords with Apify, summarizes video scripts using AI, and stores the results in Airtable to uncover hidden trends and outlier videos. Together, these workflows connect n8n, Apify, YouTube APIs, and Airtable to create a pipeline for monitoring, analyzing, and storing YouTube trend data. They are customizable and importable into your n8n instance.

Who It's For

Content creators, YouTube automation specialists, and marketing teams who need to systematically discover trending topics and outlier videos in their niche. These workflows are ideal for anyone managing a YouTube channel or content strategy who wants to automate the repetitive tasks of keyword tracking, video scraping, and performance analysis.

Highlights

Automates weekly YouTube video scraping with Apify
Analyzes video performance metrics from the past 2 days
Summarizes video scripts using AI
Stores trend data in Airtable for easy review
Customizable and importable into your n8n instance

Included Workflows(3)

Example Use Case

Imagine a content creator who manages a YouTube channel about tech reviews. They set up the pack to run weekly: the first workflow scrapes videos for keywords like 'best laptop 2025' using Apify, the second workflow analyzes recent video performance to spot rising trends, and the third workflow summarizes video scripts and stores everything in Airtable. The creator then reviews the Airtable data to decide which topics to cover next, saving hours of manual research.