Workflow Templates

Who this workflow is for Consulting firms in strategy, management, or IT who want to automate client onboarding and internal task assignment. What this workflow does Automatically creates onboarding tasks and checklists using AI, routes them to the right consultant, logs client info in Google Sheets, and sends client welcome emails. Internal teams get Slack notifications, and kickoff meetings can be scheduled automatically. How the workflow works New client intake triggers workflow AI generates onboarding checklist Tasks routed based on project type Client info logged in Google Sheets Slack notifications sent to consultants Optional PDF of onboarding sent to client Email confirmation delivered to client Optional CRM integration Setup Instructions Connect Webhook/Form for intake Connect Google Sheets Connect OpenAI Connect Slack and email Configure optional CRM integration Author: Hyrum Hurst, AI Automation Engineer Company: QuarterSmart Contact: hyrum@quartersmart.com

Facebook Page Comment Moderation Scoreboard → Team Report This workflow automatically monitors Facebook Page comments, analyzes them using AI for intent, toxicity & spam, stores moderation results in a database and sends a clear summary report to Slack and Telegram. This workflow runs every few hours to fetch Facebook Page comments and analyze them using OpenAI. Each comment is classified as positive, neutral or negative, checked for toxicity, spam & abusive language and then stored in Supabase. A simple moderation summary is sent to Slack and Telegram. You receive: Automated Facebook comment moderation AI-based intent, toxicity, and spam detection Database logging of all moderated comments Clean Slack & Telegram summary reports Ideal for teams that want visibility into comment quality without manually reviewing every message. Quick Start – Implementation Steps Import the workflow JSON into n8n. Add your Facebook Page access token to the HTTP Request node. Connect your OpenAI API key for comment analysis. Configure your Supabase table for storing moderation data. Connect Slack and Telegram credentials and choose target channels. Activate the workflow — moderation runs automatically. What It Does This workflow automates Facebook comment moderation by: Running on a scheduled interval (every 6 hours). Fetching recent comments from a Facebook Page. Preparing each comment for AI processing. Sending comments to OpenAI for moderation analysis. Extracting structured moderation data: Comment intent Toxicity score Spam detection Abusive language detection Flagging risky comments based on defined rules. Storing moderation results in Supabase. Generating a summary report. Sending the report to Slack and Telegram. This ensures consistent, repeatable moderation with no manual effort. Who’s It For This workflow is ideal for: Social media teams Community managers Marketing teams Customer support teams Moderation and trust & safety teams Businesses managing high-volume Facebook Pages Anyone wanting AI-assisted comment moderation Requirements to Use This Workflow To run this workflow, you need: n8n instance** (cloud or self-hosted) Facebook Page access token** OpenAI API key** Supabase project and table** Slack workspace** with API access Telegram bot** and chat ID Basic understanding of APIs and JSON (helpful but not required) How It Works Scheduled Trigger – Workflow starts automatically every 6 hours. Fetch Comments – Facebook Page comments are retrieved. Prepare Data – Comments are formatted for processing. AI Moderation – OpenAI analyzes each comment. Normalize Results – AI output is cleaned and standardized. Store Data – Moderation results are saved in Supabase. Aggregate Stats – Summary statistics are calculated. Send Alerts – Reports are sent to Slack and Telegram. Setup Steps Import the workflow JSON into n8n. Open the Fetch Facebook Page Comments node and add: Page ID Access token Connect your OpenAI account in the AI moderation node. Create a Supabase table and map fields correctly. Connect Slack and select a reporting channel. Connect Telegram and set the chat ID. Activate the workflow. How To Customize Nodes Customize Flagging Rules Update the normalization logic to: Change toxicity thresholds Flag only spam or abusive comments Add custom moderation rules Customize Storage You can extend Supabase fields to include: Language AI confidence score Reviewer notes Resolution status Customize Notifications Slack and Telegram messages can include: Emojis Mentions (@channel) Links to Facebook comments Severity labels Add-Ons (Optional Enhancements) You can extend this workflow to: Auto-hide or delete toxic comments Reply automatically to positive comments Detect language and region Generate daily or weekly moderation reports Build dashboards using Supabase or BI tools Add escalation alerts for high-risk comments Track trends over time Use Case Examples 1. Community Moderation Automatically identify harmful or spam comments. 2. Brand Reputation Monitoring Spot negative sentiment early and respond faster. 3. Support Oversight Detect complaints or frustration in comments. 4. Marketing Insights Measure positive vs negative engagement. 5. Compliance & Auditing Keep historical moderation logs in a database. Troubleshooting Guide | Issue | Possible Cause | Solution | |-----|---------------|----------| | No comments fetched | Invalid Facebook token | Refresh token & permissions | | AI output invalid | Prompt formatting issue | Use strict JSON prompt | | Data not saved | Supabase mapping mismatch | Verify table fields | | Slack message missing | Channel or credential error | Recheck Slack config | | Telegram alert fails | Wrong chat ID | Confirm bot permissions | | Workflow not running | Trigger disabled | Enable Cron node | Need Help? If you need help customizing, scaling or extending this workflow — such as advanced moderation logic, dashboards, auto-actions or production hardening, then our n8n workflow development team at WeblineIndia can assist with expert automation solutions.

This n8n template demonstrates how to build an autonomous AI assistant that handles real business tasks through natural conversation on Telegram. The example shows meeting scheduling with CRM lookup and calendar management, but the architecture supports any business automation you can imagine - simply add tools and the AI learns to use them automatically. Use cases are many: Try automating appointment scheduling, customer support tickets, invoice generation, lead qualification, email management, report generation, data entry, or task coordination! Good to know OpenAI API costs are minimal at ~$0.001 per conversation with GPT-4o-mini The AI agent makes autonomous decisions and can chain multiple tool calls to complete complex tasks Conversation context is not persisted between sessions (can be extended with a memory database) Calendar availability is checked for business hours (9 AM - 4 PM) by default The workflow assumes contacts are stored in Google Sheets with Name and Email columns This is production-ready code that can be deployed immediately for real business use How it works User sends a natural language message to the Telegram bot requesting a meeting The workflow extracts message content, chat ID, and user information CRM database is loaded from Google Sheets containing contact information The AI agent analyzes the request and autonomously decides which tools to use AI searches CRM for contacts, checks Google Calendar availability, and proposes 3 available time slots User confirms their preferred time through conversational reply Upon confirmation, the workflow creates a Google Calendar event with both parties invited A professional confirmation email is automatically sent via Gmail to the meeting attendee The entire multi-step process executes autonomously through simple conversation How to use Set up a Google Sheet as your CRM with columns: Name, Email, Phone Create a Telegram bot via BotFather and get your bot token Import this workflow and connect your credentials (Telegram, OpenAI, Google Sheets, Calendar, Gmail) Replace placeholder IDs with your actual Google Sheet ID and Calendar ID in the workflow nodes Activate the workflow to start listening for Telegram messages Test with: "Schedule a meeting with [contact name] tomorrow at 2 PM" Customize the AI Agent system prompt to match your scheduling preferences and timezone Requirements Telegram Bot Token (free from BotFather) OpenAI API account with GPT-4o-mini access Google Sheets OAuth2 credentials for CRM database access Google Calendar OAuth2 credentials for availability checking and event creation Gmail OAuth2 credentials for sending confirmation emails Customising this workflow Add new tools (APIs, databases, services) and the AI automatically learns to use them - no code changes needed Replace Telegram with Slack, WhatsApp, or SMS for different communication channels Extend capabilities beyond scheduling: invoice generation, customer support, lead qualification, report generation Connect external systems like HubSpot, Salesforce, QuickBooks, Asana, or custom APIs Add conversation memory by integrating a vector database for context-aware multi-turn conversations Implement approval workflows where AI drafts actions for human review before execution Build multiple specialized assistants with different tools and expertise for various business functions

How It Works This workflow automates end-to-end marketing campaign management for digital marketing teams and agencies executing multi-channel strategies. It solves the complex challenge of coordinating personalized content across email, social media, and advertising platforms while maintaining brand consistency and optimizing engagement. The system processes scheduled campaign triggers through AI-powered content generation and personalization engines, then intelligently distributes tailored messages across six parallel channels: email campaigns, social media posts, paid advertising, influencer outreach, content marketing, and performance analytics. Each channel receives audience-specific messaging optimized for platform requirements, engagement patterns, and conversion objectives. This eliminates manual content adaptation, ensures consistent campaign timing, and delivers data-driven personalization at scale. Setup Steps Configure campaign schedule trigger or webhook integration with marketing automation platform Add AI model API credentials for content generation, personalization, and A/B testing optimization Connect email service provider with segmented audience lists and template configurations Set up social media management platform APIs for Facebook, Instagram, LinkedIn Integrate advertising platforms (Google Ads, Meta Ads) with campaign tracking parameters Prerequisites Marketing automation platform access, AI service API keys, email service provider account Use Cases Product launch campaigns coordinating announcements across channels Customization Adjust AI prompts for brand voice consistency, modify channel priorities based on audience preferences Benefits Reduces campaign setup time by 80%, ensures consistent messaging across all channels

Never let an event go unpromoted. This workflow monitors your Google Calendar, generates branded promotional graphics, and schedules a staggered social media countdown across LinkedIn, Twitter/X, and Facebook. 🎯 What This Workflow Does This template automates the full lifecycle of event promotion—from creation to multi-platform publishing. 📅 Step 1 — Calendar Trigger & Intelligence Instant Trigger:** Fires when a new event is created in Google Calendar Data Enrichment:** Extracts title, location, and formatted date/time Safety Gate:** Skips events starting in less than 2 hours 🖼️ Step 2 — Programmatic Design & CDN Hosting Dynamic Graphic Creation:** Uses Edit Image node to overlay event details on a banner CDN Hosting:** Uploads the image via UploadToURL to generate a public URL Schedule Calculation:** Sets post timings at 48h, 24h, and 1h before the event 🔁 Step 3 — Staggered Countdown & AI Copy Loop Execution:** Iterates through each scheduled post time Smart Wait:** Delays execution until the exact posting time AI Captions:** Generates time-based captions using OpenAI 📊 Step 4 — Audit Logging & Admin Alerts Google Sheets Log:** Stores platform status and image URLs for each post Telegram Alerts:** Sends a final campaign summary to the admin ✨ Key Features Automated Graphic Design:** Creates visuals for every event Persistent Wait Logic:** Handles long delays within a single workflow Multi-Platform Posting:** Publishes to LinkedIn, Twitter/X, and Facebook CDN Media Bridge:** UploadToURL ensures valid public image URLs 🔧 Setup Requirements Required Integrations Google Calendar:** OAuth2 credentials Social Platforms:** LinkedIn, Twitter/X, Facebook Page credentials OpenAI:** API key for captions Google Sheets:** Sheet for logging UploadToURL:** API key Telegram:** Bot token and chat ID Required Assets Public URL of your base banner template image Automate your event marketing. Import this template and connect your Google Calendar to start promoting events effortlessly!

How it works This workflow automatically generates personalized follow-up messages for leads or customers after key interactions (e.g., demos, sales calls). It enriches contact details from HubSpot (or optionally Monday.com), uses AI to draft a professional follow-up email, and distributes it across multiple communication channels (Slack, Telegram, Teams) as reminders for the sales team. Step-by-step 1. Trigger & Input Schedule Trigger – Runs automatically at a defined interval (e.g., daily). Set Sample Data – Captures the contact’s name, email, and context from the last interaction (e.g., “had a product demo yesterday and showed strong interest”). 2. Contact Enrichment HubSpot Contact Lookup – Searches HubSpot CRM by email to confirm or enrich contact details. Monday.com Contact Fetch (Optional) – Can pull additional CRM details if enabled. 3. AI Message Generation AI Language Model (OpenAI) – Provides the underlying engine for message creation. Generate Follow-Up Message – Drafts a short, professional, and friendly follow-up email: References previous interaction context. Suggests clear next steps (call, resources, etc.). Ends with a standardized signature block for consistency. 4. Multi-Channel Communication Slack Reminder – Posts the generated message as a reminder in the sales team’s Slack channel. Telegram Reminder – Sends the follow-up draft to a Telegram chat. Teams Reminder – Shares the same message in a Microsoft Teams channel. Benefits Personalized Outreach at Scale – AI ensures each follow-up feels tailored and professional. Context-Aware Messaging – Pulls in CRM details and past interactions for relevance. Cross-Platform Delivery – Distributes reminders via Slack, Teams, and Telegram so no follow-up is missed. Time-Saving for Sales Teams – Eliminates manual drafting of repetitive follow-up emails. Consistent Branding – Ensures every message includes a unified signature block.

Description This n8n template generates high-quality, platform-ready hashtags for beauty and skincare brands by combining AI, live website analysis, and current social media trends. It is designed for marketers, agencies, and founders who want smarter hashtag strategies without manual research. Use cases Beauty & skincare brands building social media reach Agencies managing multiple client accounts Content teams creating Instagram, LinkedIn, or Facebook posts Founders validating brand positioning through hashtags What this template demonstrates Form-based user input in n8n Website scraping with HTTP Request AI-driven brand analysis using Gemini Structured AI outputs with output parsers Live trend research using search tools Automated storage in Google Sheets How it works Users submit brand details through a form. The workflow scrapes the brand’s website, analyzes it with AI, generates tailored hashtags, enriches them with platform-specific trends, and stores the final result in Google Sheets. How to use Activate the workflow Open the form URL Enter brand details and website URL Submit the form View generated hashtags in Google Sheets Requirements Google Gemini API credentials Google Sheets account SerpAPI account for trend research Good to know Website scraping is best suited for public, text-rich sites Hashtags are generated dynamically based on brand tone and audience You can reuse the Google Sheet as a hashtag library Customising this workflow Change the number of hashtags generated Modify the AI prompt for different industries Add filters for banned or restricted hashtags Extend the workflow to auto-post to social platforms

Who’s it for This template is perfect for content creators, marketers, solopreneurs, agencies, and social media strategists who want to understand what audiences are talking about online. It helps teams quickly turn broad topics into structured insights, trend opportunities, and actionable content ideas. What it does / How it works This workflow begins with a form where the user enters a single topic. An AI agent expands the topic into subtopics and generates multiple relevant keywords. For each keyword, the workflow automatically gathers content from Reddit and X (formerly Twitter), extracting posts, titles, text, engagement metrics, and links. Each collected post is then analyzed by an AI model to determine: Trend potential Audience relevance Platform suitability Recommended content formats Categories and keywords Once all posts are processed, a final AI agent synthesizes the results, identifies the strongest emerging trends, groups similar insights, and generates strategic content recommendations. Requirements Google Gemini (PaLM) API credentials X / Twitter OAuth2 credentials Access to the n8n Form Trigger (publicly accessible URL) How to set up Connect your Gemini API and Twitter API credentials. Make sure the Form Trigger node is accessible. Review and adjust the AI prompts if you want different output formats. Run the form, enter a topic, and execute the workflow. How to customize the workflow Add more platforms (YouTube, TikTok, Instagram, Hacker News) Add sentiment scoring or engagement ranking Export insights to Google Sheets or Notion Generate ready-to-post content from the trends

This n8n template acts as your automated social media data analyst. Instead of manually checking your analytics across different dashboards every week, this workflow scrapes your latest stats, calculates your week-over-week growth, and uses AI to write a strategic performance report delivered straight to your inbox. Use cases are many: Perfect for content creators tracking growth, agencies managing client reporting, or community managers monitoring Skool engagement alongside social channels. Good to know First Run Setup:* Since this workflow calculates *growth (Current vs. Last Week), it needs a baseline to start. You will need to manually add one row to the linked Airtable template with your current stats before the first scheduled run. Cost:** This uses the Apify API for scraping TikTok and OpenRouter for the LLM analysis. Costs are generally very low (pennies per run), but you will need active accounts for both. How it works Data Collection: Every Sunday, the workflow triggers and pulls your live follower counts from YouTube, TikTok, and Skool. It also grabs the transcripts and stats for every video you posted in the last 7 days. Growth Calculation: It searches your Airtable database for the previous week's record and compares it against the live numbers to calculate exactly how many subscribers and followers you gained. AI Analysis: The data and video transcripts are fed into an LLM (via OpenRouter). The AI analyzes why certain videos performed well based on the content, identifying trends and engagement patterns. Reporting: The LLM generates a clean, formatted HTML report. Delivery & Archiving: The workflow emails the report to you and saves the new raw data into Airtable to serve as the baseline for next week. How to use The workflow is set to run weekly (Sundays), but you can change the Schedule Trigger to whatever day you prefer to receive reports. You will need to configure the CONFIG node at the start with your specific profile URLs and Channel IDs so the scrapers know where to look. Link to the required Airtable template is included in the workflow sticky notes. Requirements n8n** (Self-hosted recommended) Apify** account (for TikTok and Skool scraping) Google Cloud** project (for YouTube Data API) OpenRouter** or OpenAI API key Airtable** account Gmail** account Customising this workflow You can easily swap out the LLM model in the OpenRouter node if you prefer a specific model (like Claude 3.5 Sonnet or GPT-4o) for the analysis. You could also add more platforms like LinkedIn or Instagram if you have the appropriate Apify actors or API credentials.

Transcript → AI Analysis → Formatted Doc This workflow automatically converts Fathom meeting transcripts into beautifully formatted Google Docs with AI-generated summaries, key points, decisions, and action items. Good to know Works fully with Fathom free account Webhook responds immediately to prevent Fathom timeout and duplicate triggers Validates transcript quality (3+ conversation turns) before AI processing to save costs Uses Google Gemini API (generous free tier and rate limits, typically enough to avoid paying for API requests, but check latest pricing at Google AI Pricing) Creates temporary HTML file that's auto-deleted after conversion Who's it for Individuals or teams using Fathom for meetings who want more control and flexibility with their AI meeting analysis and storage independently of Fathom, as well as automatic, formatted documentation without manual note-taking. Perfect for recurring syncs, client meetings, or interview debriefs. How it works Fathom webhook triggers when meeting ends and sends transcript data Validates transcript has meaningful conversation (3+ turns) Google Gemini AI analyzes transcript and generates structured summary (key points, decisions, actions, next steps) Creates formatted HTML with proper styling Uploads to Google Drive and converts to native Google Doc Reduces page margins for readability and deletes temporary HTML file Requirements Fathom account with API webhook access (available on free tier) Google Drive account (OAuth2) Google Docs account (OAuth2) Google Gemini API key (Get free key here) How to set up Add credentials: Google Drive OAuth2, Google Docs OAuth2, Google Gemini API Copy the webhook URL from the Get Fathom Meeting webhook node (Test URL first, change to Production URL when ready) In Fathom: Settings → API Access → Add → Add webhook URL and select all events including "Transcript" Test with a short meeting, verify Google Doc appears in Drive Activate workflow Customizing this workflow Change save location: Edit "Upload File as HTML" node → update "Parent Folder" Modify AI output: Edit "AI Meeting Analysis" node → customize the prompt to add/remove sections (e.g., risks, follow-ups, sentiment, etc) Adjust document margins: Edit "Reduce Page Margins" node → change margin pixel values Add notifications: E.g. add Slack/Email node after "Convert to Google Doc" to notify team when summary is ready Quick Troubleshooting "Transcript Present?" fails: Fathom must send transcript_merged with 3+ conversation turns (i.e. only send to Gemini for analysis if there's a genuine transcript) HTML as plain text: Check "Convert to Google Doc" uses POST to /copy endpoint 401/403 errors: Re-authorize Google credentials Inadequate meeting notes: Edit prompts in "AI Meeting Analysis" node Sample File and Storage Output Google Doc meeting notes - sample Google Drive sample folder output:

This n8n template from Intuz provides a complete end-to-end content factory to automate the entire lifecycle of creating and publishing AI-driven videos. It transforms a single text prompt into a fully scripted, visually rich video with AI-generated images and voiceovers, then distributes it across multiple social media platforms. Who's this workflow for? Content Creators & YouTubers Social Media Managers & Agencies Digital Marketers & Entrepreneurs Brands looking to scale video content production Objective Generate viral video scripts with Gemini AI (via LangChain). Break scripts into structured scenes(hooks, retention, CTA). Create image prompts and high-quality background visuals automatically. Store all scenes, prompts, images, and metadata into Airtable. Handle file formatting, uploads, and naming automatically. Add error handling and retry logic for smooth execution. Uploading into Social Media platforms. How it works 1. AI Script Generation: The workflow starts with a single command. A powerful Google Gemini AI model, acting as a "Content Brain," generates a complete, viral video script with a title, description, and multiple scenes. 2. Content Management in Airtable: The entire script is broken down and saved systematically into an Airtable base, which acts as the central Content Management System (CMS) for the video production pipeline. 3. AI Image Generation: The workflow loops through each scene in Airtable. It uses an AI agent to enhance the image prompts and sends them to an image generation API (like Pollinations.ai) to create a unique, high-quality image for each scene. These images are then automatically uploaded back into Airtable. 4. Automated Video Rendering: Once all images are ready, the workflow gathers the script text and the corresponding image URLs from Airtable and sends them to Creatomate. Creatomate uses a pre-defined template to assemble the final video, complete with AI-generated voiceovers for each scene. 5. Multi-Platform Publishing: After a brief wait for the video to render, the workflow retrieves the final video file and automatically publishes it across your connected social media channels, including YouTube and Instagram. Key Requirements to Use This Template Before you start, please ensure you have the following accounts and assets ready: 1. n8n Instance & Required Nodes: An active n8n account (Cloud or self-hosted). This workflow relies on the official n8n LangChain integration (@n8n/n8n-nodes-langchain). If you are using a self-hosted version of n8n, please ensure this package is installed on your instance. 2. AI & Video Accounts: Google Gemini AI Account: A Google Cloud account with the Vertex AI API enabled and an API Key. Creatomate Account: It's platform to generate videos. An account with Creatomate for video rendering, and your API key and a pre-designed video template ID. 3. Content & Social Media Accounts: Airtable Account: An Airtable base set up to manage the video content. Using the complementary Airtable template is highly recommended. YouTube Account: A YouTube channel with API access enabled via Google Cloud Console. Upload-Post.com Account: An account for posting to other platforms like Instagram. Workflow Steps 1.▶️ Trigger (Manual/Auto) Start workflow manually or via schedule. 2.🧠 Content Brain (Gemini + LangChain) Role-trained viral strategist prompt. Generates 6 scene scripts with: Hook → Retention → Value → CTA. Follows viral content rules (engagement triggers, curiosity gaps, shareable moments). 3.📑 Structured Output Parser Enforces JSON schema: video_id video_title description scenes[] → scene_number, text, image_prompt 4.📄 Airtable – Store Scenes Each scene stored with: Video ID, Title, Description Scene Number & Text Image Prompt & Generated Image link 5.🤖 AI Agent – Image Prompt Creator Transforms scene text →optimized image prompts using structured rules. 6.🎨 Pollination AI – Image Generation Generates vertical 9:16 visuals with parameters: Model: flux Resolution: 1080x1920 Steps: 12 Guidance Scale: 3.5 Safety Checker: Enabled Options: seed=42, nologo=true 7.📂 File Handling & Conversion Assigns filenames automatically (e.g., images_001.png). Converts binary image → base64 for Airtable storage. 8.📤 Airtable Upload – Store Images Attaches generated visuals directly into Generated Image field. 9.⚡ Switch & Error Handling Branches for: ✅ Success → continue ❌ Failed → stop with error message ⏳ Processing → wait/retry 10.Social Media Upload In YouTube via YouTube API from official documentation In Instagram Via Upload Post API Setup Instructions 1. AI Configuration: In the Google Gemini Chat Model nodes, connect your Google Gemini API account. In the Content Brain node, you can customize the core prompt to change the video's niche, style, or topic. 2. Airtable Setup (Crucial): Connect your Airtable account in the Airtable nodes. Set up your Airtable base using the provided template or ensure your base has identical table and field names. Update the Base ID and Table IDs in the Airtable nodes. Airtable Schema: 3. Video Rendering Setup (Creatomate): In the Video Rendering - Creatomate node, add your Creatomate API key to the header authorization. In the Template for Creatomate node, replace the template_id with the ID of your own video template from your Creatomate account. 4. Social Media Connections: In the Upload on YouTube node, connect your YouTube account via OAuth2. In the Upload on Instagram node, replace the API key in the header authorization with your key from Upload-Post.com. 5. Execute the Workflow: Click "Execute workflow" to kick off your automated video content factory. Connect with us Website: https://www.intuz.com/services Email: getstarted@intuz.com LinkedIn: https://www.linkedin.com/company/intuz Get Started: https://n8n.partnerlinks.io/intuz For Custom Worflow Automation Click here- Get Started

This workflow helps Customer Success Managers and customer success professionals quickly gather intelligence on clients or prospects by analyzing their recent LinkedIn activity via a simple Slack command. Who's it for CSMs, Account Managers, and Sales professionals who need fast, structured insights about a person's LinkedIn presence before a call, meeting, or outreach. What it does (and doesn't do) ✅ It DOES: Fetch recent LinkedIn posts from any profile Analyze posting frequency and cadence patterns Identify top themes and focus areas Extract recent highlights with context Generate a clean HTML report sent via email ❌ It DOESN'T: Access private/non-public LinkedIn content Provide real-time updates (it's a snapshot) Replace actual researches when needed Think of it as: Your personal LinkedIn research assistant that turns a name into actionable intelligence in under a minute. How it works Slack command - Type /check-linkedin [Full Name] in Slack Name validation - AI verifies you provided a full name (not just "John") Profile discovery - Finds the correct LinkedIn profile via Apify Content scraping - Pulls their recent posts (last 20) AI analysis - GPT-4.1 analyzes posting patterns, topics, and highlights Report generation - Creates a formatted HTML email report Email delivery - Sends the intelligence brief to your inbox Set up steps Setup time: ~15 minutes Create or use your existing Slack app and add a Slash Command (it can be done here https://api.slack.com/apps) Configure the webhook URL in your Slack app Connect credentials: Slack OAuth Apify API OpenAI API Gmail OAuth Update the email recipient in "Send report via Email" node Test with a known LinkedIn profile Requirements Slack workspace (with app installation permissions) Apify account with credits OpenAI API key (GPT-4.1 access) Gmail account Apify actors: LinkedIn Profile Finder LinkedIn Post Scraper Cost estimation ~$0.05-0.09 per profile check. You could research 11-20 people for $1. ⚠️ Cost Disclaimer: The costs displayed above are indicative only and may vary significantly depending on which n8n actors you select. Some actors incur monthly charges—for example, one of the two actors used in this workflow costs $35/month. So, I recommend using this actor only when there's a clear business need for it. For cost optimization, consider switching to alternative actors that can deliver similar / simpler functionality at a lower cost. If you plan to use this workflow extensively, I strongly suggest performing a budget assessment and evaluating other actor options to maximize cost efficiency. The workflow uses GPT-4.1-mini for lightweight classification and GPT-4.1 for the heavy analysis to balance quality and cost. Known Limitations Common names have limited accuracy: Very common names (e.g., "John Smith") often fail to identify the correct person accurately. An improved version could support company name in the slash command as an additional input to help narrow down results and improve first-try matching accuracy. 💡 Pro tips Check before important meetings: Run this 15-30 minutes before a call. The email report gives you conversation starters and context about what they care about. Batch your research: If you have multiple clients or prospects, queue them up. Just remember each lookup costs ~$0.05-0.09. Watch your Apify credits: The LinkedIn scrapers are the main cost driver. Monitor your Apify usage if you're doing high volume. Don't spam the same profile: LinkedIn may rate-limit. Space out repeat checks on the same person by at least a few hours. Review the "Quick Scan" section first: The email report starts with key stats and top focus areas. Perfect for a 30-second pre-call prep. What to do after the workflow runs Check your email - Report arrives in 30-90 seconds Review the report - Latest post date, cadence, and top themes Read Recent Activity Summary - High-level overview of their content Dive into Detailed Analysis - Two main topics with keywords and rationale Use it strategically: Reference their recent posts in your outreach Ask about topics they're clearly passionate about Tailor your pitch to their demonstrated interests Avoid generic "saw you on LinkedIn" messages Questions or Feedback? 📧 emir.belkahia@gmail.com 💼 linkedin.com/in/emirbelkahia