Anna Bui
Templates by Anna Bui
Convert LinkedIn post reactions into qualified leads with AI and Apify
🎯 LinkedIn ICP Lead Qualification Automation Automatically identify and qualify ideal customer prospects from LinkedIn post reactions using AI-powered profile analysis and intelligent data enrichment. Perfect for sales teams and marketing professionals who want to convert LinkedIn engagement into qualified leads without manual research. This workflow transforms post reactions into actionable prospect data with AI-driven ICP classification. Good to know LinkedIn Safety: Only use cookie-free Apify actors to avoid account detection and suspension risks Daily Processing Limits: Scrape maximum 1 page of reactions per day (50-100 profiles) to stay under LinkedIn's radar Apify actors cost approximately $0.01-0.05 per profile scraped - budget accordingly for daily processing Includes intelligent rate limiting to prevent API restrictions and maintain LinkedIn account safety AI classification requires clear definition of your Ideal Customer Profile criteria Processing too many profiles or running too frequently will trigger LinkedIn's anti-scraping measures Always monitor your LinkedIn account health and Apify usage patterns for any warning signs How it works Scrapes LinkedIn post reactions using Apify's specialized actor to identify engaged users Extracts and cleans profile data including names, job titles, and LinkedIn URLs Checks against existing Airtable records to prevent duplicate processing and save costs Creates new prospect records with basic information for tracking purposes Enriches profiles with comprehensive LinkedIn data including company details and experience Aggregates and formats profile data for AI analysis and classification Uses AI to analyze prospects against your ICP criteria with detailed reasoning Updates records with ICP classification results and extracted email addresses Implements smart batching and delays to respect API rate limits throughout the process How to use IMPORTANT: Select cookie-free Apify actors only to avoid LinkedIn account suspension Set up Apify API credentials in both HTTP Request nodes for safe LinkedIn scraping Configure Airtable OAuth2 authentication and select your prospect tracking base Replace the LinkedIn post URL with your target post in the initial scraper node Daily Usage: Process only 1 page of reactions per day (typically 50-100 profiles) maximum Customize the AI classification prompt with your specific ICP criteria and job titles Test with a small batch first to verify setup and monitor both API costs and LinkedIn account health Schedule workflow to run daily rather than processing large batches to maintain account safety Requirements Apify account with API access and sufficient credits for profile scraping Airtable account with OAuth2 authentication configured OpenAI or compatible AI model credentials for prospect classification LinkedIn post URL with reactions to analyze (minimum 10+ reactions recommended) Clear definition of your Ideal Customer Profile criteria for accurate AI classification Customising this workflow Safety First: Always verify Apify actors are cookie-free before configuring to protect your LinkedIn account Modify ICP classification criteria in the AI prompt to match your specific target customer profile Set up daily scheduling (not hourly/frequent) to respect LinkedIn's usage patterns and avoid detection Adjust rate limiting delays based on your comfort level with LinkedIn scraping frequency Add additional data fields to Airtable schema for storing custom prospect information Integrate with CRM systems like HubSpot or Salesforce for automatic lead import Set up Slack notifications for new qualified prospects or daily summary reports Create email marketing sequences in tools like Mailchimp for nurturing qualified leads Add lead scoring based on company size, industry, or engagement level for prioritization Consider rotating between different LinkedIn posts to diversify your prospect sources while maintaining daily limits
By Anna BuiTransform meeting transcripts into LinkedIn content with AI and Google Docs
🎯 Universal Meeting Transcript to LinkedIn Content Automatically transform your meeting insights into engaging LinkedIn content with AI Perfect for coaches, consultants, sales professionals, and content creators who want to share valuable insights from their meetings without the manual effort of content creation. How it works Calendar trigger detects when your coaching/meeting ends Waits for meeting completion, then sends you a form via email You provide the meeting transcript and specify post preferences AI analyzes the transcript using your personal brand guidelines Generates professional LinkedIn content based on real insights Creates organized Google Docs with both transcript and final post Sends you links to review and publish your content How to use Connect your Google Calendar and Gmail accounts Update the calendar filter to match your meeting types Customize the AI prompts with your brand voice and style Replace email addresses with your own Test with a sample meeting transcript Requirements Google Calendar (for meeting detection) Gmail (for form delivery and notifications) Google Drive & Docs (for content storage) LangChain AI nodes (for content generation) Good to know AI processing may incur costs based on your LangChain provider Works with any meeting platform - just copy/paste transcripts Can be adapted to use webhooks from recording tools like Fireflies.ai Memory nodes store your brand guidelines for consistent output Happy Content Creating!
By Anna BuiSync website visitors from RB2B to Attio CRM via Slack with deal creation
This n8n template automatically syncs website visitors identified by RB2B into your Attio CRM, creating comprehensive contact records and associated sales deals for immediate follow-up. Perfect for sales teams who want to capture every website visitor as a potential lead without manual data entry! Good to know RB2B identifies anonymous website visitors and sends structured data via Slack notifications The workflow prevents duplicate contacts by checking email addresses before creating new records All RB2B leads are automatically tagged with source tracking for easy identification How it works RB2B sends website visitor notifications to your designated Slack channel with visitor details The workflow extracts structured data from Slack messages including name, email, company, LinkedIn, and location It searches Attio CRM to check if the person already exists based on email address For new visitors, it creates a complete contact record with all available information For existing contacts, it updates their record and manages deal creation intelligently Automatically creates sales deals tagged as "RB2B Website Visitor" for proper lead tracking How to use Configure RB2B to send visitor notifications to a dedicated Slack channel The Slack trigger can be replaced with other triggers like webhooks if you prefer different notification methods Customize the deal naming conventions and stages to match your sales pipeline Requirements RB2B account with Slack integration enabled Attio CRM account with API access Slack workspace with bot permissions for the designated RB2B channel Customising this workflow Modify deal stages and values based on your sales process Add lead scoring based on company domain or visitor behavior patterns Integrate additional enrichment APIs to enhance contact data Set up automated email sequences or Slack notifications for high-value leads
By Anna BuiMonitor LinkedIn posts & create AI content digests with OpenAI and Airtable
Automatically monitor LinkedIn posts from your community members and create AI-powered content digests for efficient social media curation. This template is perfect for community managers, content creators, and social media teams who need to track LinkedIn activity from their network without spending hours manually checking profiles. It fetches recent posts, extracts key information, and creates digestible summaries using AI. Good to know API costs apply - LinkedIn API calls (~$0.01-0.05 per profile check) and OpenAI processing (~$0.001-0.01 per post) Rate limiting included - Built-in random delays prevent API throttling issues Flexible scheduling - Easy to switch from daily schedule to webhook triggers for real-time processing Requires API setup - Need RapidAPI access for LinkedIn data and OpenAI for content processing How it works Daily profile scanning - Automatically checks each LinkedIn profile in your Airtable for posts from yesterday Smart data extraction - Pulls post content, engagement metrics, author information, and timestamps AI-powered summarization - Creates 30-character previews of posts for quick content scanning Duplicate prevention - Checks existing records to avoid storing the same post multiple times Structured storage - Saves all processed data to Airtable with clean formatting and metadata Batch processing - Handles multiple profiles efficiently with proper error handling and delays How to use Set up Airtable base - Create tables for LinkedIn profiles and processed posts using the provided structure Configure API credentials - Add your RapidAPI LinkedIn access and OpenAI API key to n8n credentials Import LinkedIn profiles - Add community members' LinkedIn URLs and URNs to your profiles table Test the workflow - Run manually with a few profiles to ensure everything works correctly Activate schedule - Enable daily automation or switch to webhook triggers for real-time processing Requirements Airtable account - For storing profile lists and managing processed posts with proper field structure RapidAPI Professional Network Data API - Access to LinkedIn post data (requires subscription) OpenAI API account - For intelligent content summarization and preview generation LinkedIn profile URNs - Properly formatted LinkedIn profile identifiers for API calls Customising this workflow Change monitoring frequency - Switch from daily to hourly checks or use webhook triggers for real-time updates Expand data extraction - Add company information, hashtag analysis, or engagement trending Integrate notification systems - Add Slack, email, or Discord alerts for high-engagement posts Connect content tools - Link to Buffer, Hootsuite, or other social media management platforms for direct publishing Add filtering logic - Set up conditions to only process posts with minimum engagement thresholds Scale with multiple communities - Duplicate workflow for different LinkedIn communities or industry segments
By Anna BuiAnalyze workflow errors with OpenAI, FreshDesk tickets & Slack alerts
Automatically analyze n8n workflow errors with AI, create support tickets, and send detailed Slack notifications Perfect for development teams and businesses that need intelligent error handling with automated support workflows. Never miss critical workflow failures again! How it works Error Trigger captures any workflow failure in your n8n instance AI Debugger analyzes the error using structured reasoning to identify root causes Clean Data transforms AI analysis into organized, actionable information Create Support Ticket automatically generates a detailed ticket in FreshDesk Merge combines ticket data with AI analysis for comprehensive reporting Generate Slack Alert creates rich, formatted notifications with all context Send to Team delivers instant alerts to your designated Slack channel How to use Replace FreshDesk credentials with your helpdesk system API Configure Slack channel for your team notifications Customize AI analysis prompts for your specific error types Set up as global error handler for all your critical workflows Requirements FreshDesk account (or compatible ticketing system) Slack workspace with bot permissions OpenAI API access for AI analysis n8n Cloud or self-hosted with AI nodes enabled Good to know OpenAI API calls cost approximately $0.01-0.03 per error analysis Works with any ticketing system that supports REST API Can be triggered by webhooks from external monitoring tools Slack messages use rich formatting for mobile-friendly alerts Need Help? Join the Discord or ask in the Forum! Happy Monitoring!
By Anna Bui