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

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Created by: Afigo Sam || sampidia
Afigo Sam

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Last update 8 hours ago

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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.