Scrape high-engagement LinkedIn posts and auto-post with Gemini images

Who's it for

This workflow is ideal for:

• Content creators who want to replicate successful LinkedIn strategies
• Social media managers monitoring competitor content performance
• Marketing teams analyzing trending topics in their industry
• Personal brands looking to create data-driven content
• Agencies managing multiple LinkedIn accounts

What it does

This comprehensive workflow automates the entire LinkedIn content lifecycle: it scrapes viral posts from target accounts, analyzes engagement patterns, identifies trending topics, generates original AI-powered content based on those trends, creates accompanying images, and automatically publishes to your LinkedIn profile or company page.

How it works

Phase 1: Data Collection (Runs every 12 hours)

• Scheduler triggers the workflow twice daily
• Fetches LinkedIn profile URLs from Google Sheets
• Processes profiles in batches of 3 to respect API limits
• Uses Apify API to scrape recent posts from each profile
• Adds 3-second delays between requests to avoid rate limiting
• Filters for high-engagement posts (20+ likes, comments, or reposts)
• Saves viral posts to Google Sheets with full metadata

Phase 2: Content Generation (Triggered by new data)

• Monitors Google Sheets for new viral posts every minute
• Filters posts published within the last 3 days that haven't been analyzed
• Aggregates trending content into a single dataset
• Analyzes patterns using Google Gemini AI to identify:
  • Common themes and topics
  • Engagement triggers and hooks
  • Successful content structures
  • Trending hashtags and formats
• Generates original LinkedIn post with proper formatting
• Creates AI image prompt optimized for minimal text
• Generates professional image using Google Imagen
• Publishes complete post to your LinkedIn account
• Marks analyzed posts as complete to prevent duplication

Setup steps

1. Configure Google Sheets

• Create a new Google Sheet with two tabs:
  • Tab 1: "usernames & links" - Add LinkedIn profile URLs you want to monitor
  • Tab 2: "scrape data" - Leave empty (auto-populated by workflow)
• Connect your Google Sheets credentials in both nodes
• Replace all instances of YOUR_GOOGLE_SHEET_ID with your actual sheet ID
• Replace SHEET_GID values with your actual sheet GIDs

2. Set up Apify API

• Sign up for Apify account and get API token
• Replace YOUR_APIFY_API_TOKEN in "Scrape LinkedIn Posts API" node
• Note: Apify has free tier with limited requests

3. Configure Google Gemini credentials

• Obtain Google PaLM API credentials
• Add credentials to both "Google Gemini Chat Model" and "Generate an image" nodes

4. Set up LinkedIn publishing

• Connect your LinkedIn credentials in "Publish to LinkedIn" node
• If posting as organization, replace YOUR_LINKEDIN_ORGANIZATION_ID with your company page ID
• If posting as individual, change "postAs" parameter to "person"

5. Configure scheduling

• Default schedule: every 12 hours
• Adjust "LinkedIn Content Automation Scheduler" trigger if needed
• Consider your API rate limits when changing frequency

6. Test the workflow

• Manually trigger Phase 1 to scrape posts
• Verify data appears in Google Sheets "scrape data" tab
• Wait for Phase 2 trigger or manually activate it
• Check that content is generated and published correctly
• Verify posts are marked as analyzed in Google Sheets

Requirements

• Google Sheets API access (free)
• Google Sheets Trigger OAuth2 (free)
• Apify API token (free tier available, $49/month for more)
• Google PaLM/Gemini API key (pay-per-use pricing)
• LinkedIn OAuth credentials (free)

How to customize

Adjust scraping targets:

• Add more LinkedIn profile URLs to your Google Sheets
• Change batch size in "Process Profiles in Batches" (default: 3)
• Modify post limit per profile in Apify API call (default: 1 post)

Modify engagement filters:

• Edit "Filter High-Engagement Posts" node thresholds
• Default: 20+ likes OR 20+ comments OR 20+ reposts
• Adjust based on your niche's typical engagement rates
• Add additional criteria like views or impressions

Customize content analysis window:

• Change "Filter Recent Posts (3 Days)" to analyze different timeframes
• Options: 24 hours for fast-moving trends, 7 days for broader patterns
• Balance between recency and data volume

Refine AI content generation:

• Edit system prompt in "LinkedIn Content Strategy AI" node
• Adjust content length, tone, or style preferences
• Add industry-specific guidelines
• Include brand voice requirements
• Modify hashtag strategy

Customize image generation:

• Edit image prompt structure in AI prompt
• Change visual style, colors, or composition
• Adjust for brand guidelines
• Modify dimensions or aspect ratios

Change posting schedule:

• Adjust "LinkedIn Content Automation Scheduler" frequency
• Consider optimal posting times for your audience
• Balance between content quality and posting frequency
• Coordinate with other marketing activities

Enhance data collection:

• Increase posts per profile in Apify settings
• Add more profile URLs to monitor
• Implement competitor tracking
• Track additional metrics like impressions or click-through rates

Add notifications:

• Connect Slack/Email nodes after successful posts
• Set up alerts for high-performing content
• Create reports of analyzed trends
• Monitor API usage and errors