📱 Auto-post trending X tweets with Gemini AI images, FLUX and Buffer

⚡ 287 views · 📱 Social Media & Email Marketing

💡 Pro Tip — Twitter’s API is paid now, which makes simple data pulls expensive. ScraperNode is a community node that scrapes Twitter profiles and posts without needing API access.

Description

This n8n workflow automatically scrapes X (Twitter) trending topics for any country, generates a pidgin-style tweet and a matching AI image for each trend, then schedules and posts them to X via Buffer — all on a custom schedule.

Perfect for social media managers, content creators, and personal brands who want to stay relevant on X without manually tracking trends or writing posts every day.

Good to know

• The workflow runs 3 times daily by default (8:30am, 12:30pm, 4:30pm). You can adjust the schedule in the Schedule Trigger node to suit your timezone.
• Trends already used in the last 24 hours are automatically skipped to avoid repetition.
• If the primary Apify scraper fails, the workflow falls back to Gemini AI search to fetch trends — so it rarely runs dry.
• FLUX.1-schnell on HuggingFace is a free-tier model but has rate limits. For higher volume, consider upgrading your HuggingFace plan.

How it works

• A Schedule Trigger fires 3 times a day and kicks off the Apify Twitter Trending Topics Scraper for your chosen country (default: Nigeria).
• If Apify fails or returns no data, Gemini AI searches for current trending topics as a fallback.
• Already-used trends are fetched from an n8n Data Table and filtered out so the same trend is never posted twice within 24 hours.
• 2 unused trends are randomly picked and passed into a loop.
• For each trend, Gemini 2.5 Flash generates a short, engaging pidgin-English tweet (≤275 characters) grounded in live context via Google Search.
• FLUX.1-schnell on HuggingFace generates a photorealistic image matching the trend topic.
• The image is uploaded to Dropbox and a temporary public URL is extracted.
• The tweet and image are posted to X via Buffer MCP on automatic scheduling.
• The used trend is saved back to the Data Table with a timestamp to prevent reuse.

How to use

• Change the country field in both Apify nodes to scrape trends for your own country.
• Edit the tweet prompt in the Generate Tweet with Gemini node to match your personal tone, language, or brand voice.
• Edit the FLUX image prompt in the Generate Image with FLUX node to change the visual style of generated images.
• Run the Create a data table node once manually to set up the trend history table, then disable it.
• Replace YOUR_BUFFER_CHANNEL_ID in the Post to X via Buffer node with your actual Buffer channel ID.

Requirements

• Apify account with the Twitter Trending Topics Scraper actor
• Google Gemini API credential
• HuggingFace account with an API token (HTTP Bearer Token credential)
• Dropbox account (OAuth2)
• Buffer account connected to your X profile

Customising this workflow

• Swap Nigeria for any country supported by the Apify actor to target a different audience.
• Replace the pidgin-English tweet prompt with any language or tone — formal English, Yoruba slang, Spanish, etc.
• Replace Dropbox with Google Drive or S3 if you prefer a different image storage provider.
• Increase the number of picked trends from 2 to more in the Pick Trend node to post more tweets per run.

👋 Need help or want to customize this workflow?

📺 Contact: Fiverr 📩 Consultation: Book Appointment

🔗 Nodes Used

Dropbox, HTTP Request, Schedule Trigger, Google Gemini, Data table, MCP Client

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup