Generate social media hashtags from Twitter & YouTube trends with Mistral AI
UnknownWhat this workflow does
This AI workflow has 12 nodes and runs on a schedule (every day). Along the way it connects Google Sheets, Mistral Cloud Chat Model and Crawl And Scrape (community).
How it runs
Trigger: On a schedule (every day).
- extract twitter trends (Crawlee Node): extract html
- extract YouTube trends (Crawlee Node): extract html
- filter twitter trends (HTML): parses or builds HTML
- filter YouTube trends (HTML): parses or builds HTML
- get only top 100 trends (Code): runs custom JavaScript code
- Merge: merges the data from its input branches
- hashtag generator (AI Agent): runs an AI agent, with model: Mistral Cloud Chat Model; output parser: Structured Output Parser
- Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
- Google Sheets: append
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that n8n-nodes-crawl-and-scrape is verified or supports 3.0 (used in extract twitter trends, extract YouTube trends).
Nodes used (10)
- Merge
n8n-nodes-base.merge - Schedule Trigger
n8n-nodes-base.scheduleTrigger - Crawlee Node
n8n-nodes-crawl-and-scrape.crawleeNode - Google Sheets
n8n-nodes-base.googleSheets - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Mistral Cloud Chat Model
@n8n/n8n-nodes-langchain.lmChatMistralCloud - HTML
n8n-nodes-base.html - Code
n8n-nodes-base.code - AI Agent
@n8n/n8n-nodes-langchain.agent
From the author
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Description This workflow automatically collects daily trending topics from Twitter and YouTube, filters them for relevance, and uses an AI model (such as…