Block 1 - Merge
- Type / Role
- n8n-nodes-base.merge - merge
- Config choices
- Version 3.1
This workflow is provided as-is. Please review and test before using in production.
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,...
n8n-nodes-base.merge, n8n-nodes-base.scheduletrigger, n8n-nodes-crawl-and-scrape.crawleenode, n8n-nodes-base.googlesheets, n8n-nodes-base.splitinbatches, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.lmchatmistralcloud
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by ResilNext.
Original n8n.io sourceThis 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
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Generate social media hashtags from Twitter & YouTube trends with Mistral AI |
|---|---|
| Complexity | advanced |
| Nodes | 15 |
| Categories | Content Creation, Multimodal AI |
| Author | ResilNext |
| Published | 20 Jul 2025 |
Use the JSON export at /data/workflows/6203/6203.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
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,...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.