Block 1 - Idea Generator
- Type / Role
- @n8n/n8n-nodes-langchain.agent - agent
- Config choices
- Version 1.7
This workflow is provided as-is. Please review and test before using in production.
How it works This powerful automation turns LinkedIn influencer activity into high performing Amazon seller content, fully hands off. It runs in two phases: 1. AI Content Generator Retrieves influe...
@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.scheduletrigger, n8n-nodes-base.airtable, n8n-nodes-base.splitinbatches, n8n-nodes-base.httprequest
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Usman Liaqat.
Original n8n.io sourceThis powerful automation turns LinkedIn influencer activity into high performing Amazon seller content, fully hands-off. It runs in two phases:
AI Content Generator
Status = In reviewScheduled Publisher
Every day at 4 PM, one post from Airtable with Status = Approved is:
Posted in AirtableTime to set up: 15–20 minutes
Create two Airtable tables:
influencers with UserName (LinkedIn usernames only)
posts with fields:
Description (text)Image (Drive link)InfluencerUsernameInfluencerPostInfluencerPostCreatedAtStatus (In review, Approved, Posted, Rejected)Add Google Drive OAuth2 credentials for saving & downloading images
Configure OpenAI GPT-4o key (for text + image generation)
Set up Apify LinkedIn scraper and add header credentials
Link your LinkedIn account (company or personal profile)
Loops over influencer usernames
Scrapes latest LinkedIn post
Skips if already stored
Uses GPT-4o to:
Saves AI-generated image to Google Drive
Logs post to Airtable with In review status
Status = ApprovedPostedinfluencers Table:| UserName |
|---|
| jon-derkits |
posts Table:| Description | Image | InfluencerUsername | InfluencerPost | InfluencerPostCreatedAt | Status |
|---|---|---|---|---|---|
| Amazon Listing Optimization... | [Drive Link] | jon-derkits | [LinkedIn URL] | 2025-06-18 19:30:01 | In review |
Status field options:
In reviewApprovedPostedRejected| Caption | Image |
|---|---|
| Boost Your Amazon ROI! Data-driven strategies are your secret weapon... |
View Image |
| Boost Sales with 5–10% Higher Conversions! Utilize Enhanced Brand Content and Smart PPC... |
View Image |
| Grow Your Amazon Business WeSpark – Amazon Consulting Agency... |
View Image |
| Amazon Growth Strategies Embrace the power of smart optimization... |
View Image |
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 | Auto generate & post LinkedIn content for Amazon sellers with GPT-4o & Apify |
|---|---|
| Complexity | advanced |
| Nodes | 21 |
| Categories | Content Creation, Multimodal AI |
| Author | Usman Liaqat |
| Published | 01 Jul 2025 |
Use the JSON export at /data/workflows/5531/5531.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.
How it works This powerful automation turns LinkedIn influencer activity into high performing Amazon seller content, fully hands off. It runs in two phases: 1. AI Content Generator Retrieves influe...
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.