Auto Generate & Post LinkedIn Content for Amazon Sellers with GPT-4o & Apify
Automates scraping LinkedIn influencers, generating original Amazon seller content with GPT-4o, creating images, and scheduling posts via Airtable, Google Drive, and Apify.
This n8n workflow revolutionizes content creation for Amazon sellers by automating the generation and posting of LinkedIn content inspired by top influencers. It operates in two phases: an AI Content Generator that scrapes recent LinkedIn posts from specified influencers using Apify, rewrites them uniquely for Amazon sellers with GPT-4o, generates branded images, saves to Google Drive, and logs to Airtable; and a Scheduled Publisher that daily posts approved content to LinkedIn and updates status.
Key features include looping through Airtable influencer lists, skipping duplicates, JSON-structured GPT prompts for text and images, OAuth integrations for seamless Drive and LinkedIn access, and status tracking (In review, Approved, Posted, Rejected) for human oversight. Setup takes 15-20 minutes with Airtable tables for influencers and posts.
Benefits include hands-off content production saving hours weekly, high-engagement posts tailored for sellers, visual branding consistency, and scalable automation for marketing teams. Ideal for Amazon FBA owners, e-commerce marketers, or agencies managing social presence.
Use cases: Boost LinkedIn visibility by repurposing viral influencer ideas into seller-specific tips; maintain daily posting cadence without burnout; A/B test AI-generated content; integrate with sales funnels for lead gen.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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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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