This workflow contains community nodes that are only compatible with the self-hosted version of n8n.
This workflow automatically collects daily trending topics from Twitter and YouTube, filters them for relevance, and uses an AI model (such as Mistral Cloud or another OpenAI-compatible API) to generate engaging social media hashtags. The final results, including source platform and date, are saved into a connected Google Sheet for easy access, tracking, or team collaboration.
Ideal for content creators, marketers, and social media managers, this automation eliminates the manual effort of trend research and hashtag writing by combining real-time scraping with LLM-powered generation. The result is a scalable, daily strategy tool to stay aligned with what’s trending across major platforms.
Daily Trigger
Trend Scraping
Filtering & Slicing
Merge Trends
AI Hashtag Generation
Output to Google Sheets
Estimated time: 10–15 minutes
You can use the following configuration in the Crawl and Scrape node to extract Twitter trends from Trends24
{
"parameters": {
"url": "https://trends24.in/",
"selectors": [
{
"label": "Twitter Trends",
"selector": ".trend-card__list li a",
"type": "text"
}
]
},
"name": "Scrape Twitter Trends",
"type": "n8n-nodes-crawl-and-scrape.crawlAndScrape",
"typeVersion": 1,
"position": [300, 200]
}
Column A: Generated Hashtags