Automate LinkedIn Content: Viral Analysis with Gemini AI & Flux Images
Scrapes viral LinkedIn posts, analyzes trends with Gemini AI, generates original content and Flux images, then auto-publishes to your company page. Ideal for content creators and marketers seeking scalable engagement.
This n8n workflow automates a complete LinkedIn content strategy by first scraping high-engagement posts from target profiles using Apify, filtering for viral metrics (20+ likes/comments/reposts), and storing data in Google Sheets. It runs on a 12-hour schedule with rate limiting to ensure compliance and efficiency.
In the generation phase, Google Gemini AI analyzes collected trends to create original, high-engagement posts that mimic proven patterns while staying authentic. Custom visuals are produced via Hugging Face's Flux model, and complete posts with images are automatically published to your LinkedIn company page. Duplicate tracking prevents redundant processing.
Benefits include massive time savings for social media managers, consistent viral-style content at scale, and data-driven strategies that boost engagement. Use cases: marketing agencies scaling client content, fitness influencers in Lifestyle category automating motivational posts, growth hackers targeting niche audiences, and teams maintaining active company pages without manual effort.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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