Workflow Templates

Who is this for? This workflow is designed for business founders, CMOs, marketing teams, and landing page designers who want to automatically analyze their landing pages and get personalized, unconventional, high-impact conversion rate optimization (CRO) recommendations. It works by scraping the landing page content, then leveraging multiple AI models to roast the page and generate creative CRO ideas tailored specifically for that page. What this Workflow Does / Key Features Captures a landing page URL through a user-friendly form trigger. Scrapes the landing page HTML content using an HTTP request node. Sends the scraped content to a LangChain AI Agent, which orchestrates various AI models (OpenAI, Google Gemini, Mistral, etc.) for deep analysis. The AI Agent produces a friendly, fun, and unconventional “roast” of the landing page, explaining what’s wrong in human tone. Generates 10 detailed, personalized, easy-to-implement, and 2024-relevant CRO recommendations with a “wow” factor. Delivers the analysis and recommendations via Telegram message, Gmail email, and WhatsApp (via Rapiwa). Utilizes multiple AI tools and search APIs to enhance the quality and creativity of the output. Requirements OpenAI API credentials configured in n8n. Google Gemini (PaLM) API credentials for LangChain integration. Mistral Cloud API credentials for text extraction. Telegram bot credentials for sending messages. Gmail OAuth2 credentials for email delivery. Rapiwa API credentials for WhatsApp notifications. Running n8n instance with nodes: Form Trigger, HTTP Request, LangChain AI Agent, Telegram, Gmail, and custom Rapiwa node. How to Use — step-by-step Setup 1) Credentials Add your OpenAI API key under n8n credentials (OpenAi account 2). Add Google Gemini API key (Google Gemini (PaLM) Api account). Add Mistral Cloud API key (Mistral Cloud account). Set up Telegram Bot credentials (Telegram account). Set up Gmail OAuth2 credentials (Gmail account). Add Rapiwa API key for WhatsApp messages (Rapiwa). 2) Configure the Form Trigger Customize the form title, description, and landing page URL input placeholder if desired. 3) Customize Delivery Nodes Modify the Telegram, Gmail, and Rapiwa nodes with your desired recipient info and messaging preferences. 4) Run the Workflow Open the form URL webhook and submit the landing page URL to get a detailed AI-powered CRO roast and recommendations sent directly to your communication channels. Important Notes The AI Agent prompt is designed to create a fun and unconventional roast to engage users emotionally. Avoid generic advice. All CRO recommendations are personalized and contextual based on the scraped content of the provided landing page. Ensure all API credentials are kept secure and not hard-coded. Use n8n credentials management. Adjust the delivery nodes to match your preferred communication channels and recipients. The workflow supports expansion with additional AI models or messaging platforms as needed. 🙋 For Help & Community 👾 Discord: n8n channel 🌐 Website: devcodejourney.com 🔗 LinkedIn: Connect with Shakil 📱 WhatsApp Channel: Join Now 💬 Direct Chat: Message Now

🎬 AI-Powered UGC Video Generator Automatically create consistent, professional UGC (User-Generated Content) videos at scale using cutting-edge AI models. This workflow combines three reference images into hyper-realistic selfie-style photos, then transforms them into engaging 8-second videos perfect for TikTok, Instagram Reels, and social media ads. ✨ What This Workflow Does Part 1: Image Generation Combines 3 reference images (product + character + background) using NanoBanana Pro AI agent generates optimized prompts for realistic UGC selfie photos Analyzes output quality before proceeding to video generation Part 2: Video Creation Transforms static images into dynamic 8-second videos using Google Veo 3.1 AI agent creates natural dialogue and scene descriptions Batch processes multiple tasks automatically via Google Sheets 🎯 Perfect For E-commerce brands** creating product demonstration videos Marketing agencies** producing social media ad content at scale Content creators** generating consistent UGC-style videos A/B testing** multiple video variations quickly Dropshippers** needing authentic product videos without filming 🚀 Key Features ✅ Consistent Characters - Same person, style, and aesthetic across all videos ✅ Batch Processing - Manage multiple tasks via Google Sheets ✅ Multi-Model Support - Primary + fallback AI models for reliability ✅ Smart Error Handling - Automatic retries and status tracking ✅ Dual Workflow - Separate pipelines for image and video generation ✅ Quality Analysis - AI checks image quality before video creation 🛠️ Required APIs Essential: Google Sheets API (free) Atlas Cloud API (for NanoBanana Pro & Veo 3.1) Choose at least ONE: OpenAI API (GPT-5-Mini recommended) Groq API (fast & free tier available) Google Gemini API (alternative) 📋 How It Works Image Generation Pipeline: Reads tasks from Google Sheets (Status: "Ready") AI agent generates optimized image prompt Downloads and uploads 3 reference images to temp storage NanoBanana Pro combines images into realistic UGC selfie Analyzes output image quality Updates sheet with results (Status: "Edited") Video Generation Pipeline: Reads edited tasks from Google Sheets (Status: "Edited") AI agent generates video prompt with natural dialogue Veo 3.1 transforms image into 8-second video Polls generation status every 10 seconds Updates sheet with final video (Status: "Finished") 💡 Pro Tips Use high-quality reference images** (minimum 1024x1024px) Keep character photos consistent** (same person, similar lighting) Write clear scene descriptions** for better results Test with 1 task first** before running large batches Monitor API quotas** to avoid rate limits 📺 Full Tutorial Complete setup walkthrough available on YouTube: Watch Tutorial 🎓 What You'll Learn Setting up multi-step AI automation workflows Integrating multiple AI models (OpenAI, Groq, Gemini) Using NanoBanana Pro for advanced image editing Generating videos with Google Veo 3.1 Managing batch processes via Google Sheets Implementing fallback models for reliability Handling errors and status tracking 📊 Google Sheets Template Structure The workflow includes a pre-built template with these columns: Task ID** - Unique identifier Product Photo** - Product image URL Character** - Person reference image URL Background** - Scene background URL Product Name** - Name of the product Product Description** - Details about the product Target Market** - Audience for the video Video Scene** - Scene description for video Status** - Workflow status (Ready → Edited → Finished) Image Prompt** - Generated prompt for image Image Result** - Output image URL Analyze Image** - Quality analysis results Video Prompt** - Generated prompt for video Video Result** - Final video URL Error Message** - Error details if failed 🔄 Status Flow Ready → Edited → Finished ↓ ↓ ↓ Error Error Error ⚙️ Customization Options Adjust Image Style: Modify the Image Prompt Agent system message Change composition (close-up, medium shot, wide) Adjust lighting (natural, studio, dramatic) Modify Video Output: Edit Video Prompt Agent for different styles Change duration (default: 8 seconds) Customize dialogue language (default: Indonesian) Adjust camera angles and movements Add More AI Models: Connect additional providers as fallbacks Models are tried in order until success Supports OpenAI, Anthropic, Groq, Gemini 🔐 Security Notes Never commit API keys to version control Use environment variables in production Don't share your Google Sheets publicly Rotate API keys regularly Set billing alerts on all platforms 📞 Support & Updates Created by: Kristian Ekachandra Follow for more AI automation workflows: 🎥 YouTube: @aichandre 📸 Instagram: @aichandre 🎵 TikTok: @aichandre 🏷️ Tags ai-video ugc content-creation video-generation batch-processing google-sheets openai groq nanobanana-pro veo-3.1 marketing social-media tiktok instagram-reels automation

This workflow automates the full process of generating, creating, and assigning optimized WordPress tags to a specific blog post. It uses a combination of WordPress API actions, AI analysis (Claude Opus 4.5), and internal data cleaning to ensure SEO-friendly, consistent, and properly structured tags. Key Features ✅ 1. Full Tag Automation The workflow removes the need for manual tag selection or creation. It automatically: Reads the article content Chooses relevant existing tags Creates new SEO-optimized ones Assigns them to the article This eliminates human error and saves significant editorial time. ✅ 2. AI-Optimized SEO Thanks to the integrated Claude analysis, tags are: Semantically relevant Optimized for search intent Designed to improve discoverability and CTR Adapted to the specific content structure This allows for a much higher SEO quality compared to manual tagging. ✅ 3. Intelligent Tag Management The system ensures: A maximum of 4 total tags No irrelevant or duplicate tags Tags follow naming conventions (e.g., multi-word or acronyms) This creates a clean, consistent tag taxonomy across the WordPress site. ✅ 4. Automated Tag Creation in WordPress New tags are automatically created directly in WordPress via API, ensuring: Perfect synchronization with your CMS No need to manually add new tags from the WordPress backend Immediate availability for future posts ✅ 5. Clean and Reliable Data Handling Custom code nodes and aggregation steps: Merge tag arrays safely Remove duplicates Produce clean, valid JSON outputs This makes the workflow stable even with large or complex tag lists. ✅ 6. Modular and Scalable Architecture Every step (fetching, AI analysis, creation, merge, update) is separated into independent nodes, making it easy to: Extend the workflow (e.g., add categories, multilingual tags, taxonomy validation) Plug in different AI models Reuse the structure for other WordPress automations ✅ 7. Consistent Output Validation The Structured Output Parser ensures: Correct JSON schema Safe handling of AI output No malformed data sent to WordPress This makes the automation robust and production-ready. How it works This workflow is an intelligent, AI-powered tag suggestion and assignment system for WordPress. It automates the process of analyzing a blog post's content and assigning the most relevant tags, creating new ones if necessary. Data Retrieval & Preparation: The workflow starts by fetching a specific WordPress article using a provided post_id. Simultaneously, it retrieves all existing tags from the WordPress site via the REST API. These two data streams are then merged into a single data structure. AI-Powered Tag Analysis: The merged data (article content and existing tag list) is sent to an LLM (Claude Opus 4.5). The AI acts as an "SEO expert," analyzing the article's title, content, and excerpt. It follows a strict set of instructions to select up to 4 relevant tags from the existing list and, if needed, suggests new tag names to reach a total of 4 tags. Tag Processing & Creation: The workflow splits the AI's output into two paths: Existing Tags: The list of selected tag IDs is prepared for the final update. New Tags: The list of new tag names is processed in a loop. For each new tag, the workflow sends a POST request to the WordPress API to create it. The newly created tag IDs are collected. Final Assignment: The existing tag IDs and the newly created tag IDs are merged into a single list. This final list of tag IDs is then sent back to the original WordPress article via an "Update" operation, effectively tagging the post. Set up steps To configure and run this workflow, follow these steps: Provide Input Data: In the "Set data" node, you must configure the two required assignment fields: post_id: Set this to the numerical ID of the WordPress post you want to analyze and tag. url: Set this to the base URL of your WordPress site (e.g., https://yourwebsite.com/). Configure WordPress Credentials: Ensure that the "Wordpress" and "HTTP Request" nodes are correctly linked to a valid set of WordPress credentials within n8n. These credentials must have the necessary permissions to read and update posts, as well as create new tags. Configure Claude Opus 4.5 Credentials: Verify that the "Claude Chat Model" nodes are linked to a valid Claude API key credential in n8n. Execute: Once the credentials and input data are set, click "Execute Workflow" on the manual trigger node to run the process. The workflow will fetch the article, analyze it with AI, create any new tags, and update the post with the final selection of tags. Need help customizing? Contact me for consulting and support or add me on Linkedin.

Who’s it for Marketers, creators, and social managers who want hands-off reposting of a specific X (Twitter) user’s videos — with on-brand AI captions and clean, deduplicated logs. What it does / How it works On a schedule, the workflow resolves a target user, fetches recent tweets with media, filters to video posts, and writes them to Google Sheets for tracking and dedupe. It then builds a shareable video URL, generates a short caption via an AI model (OpenRouter), posts to your X account, and updates the sheet with completion status. Sticky notes inside the workflow explain each step, setup tasks, and best practices. How to set up Add credentials: Twitter (X) OAuth2, Google Sheets OAuth2, OpenRouter. Replace the demo Google Sheet with your own (document ID & sheet name). Set the target X username (or parameterize it). Adjust the schedule (interval/cron) and run a test execution. Verify logs and posting format, then enable. Requirements Twitter (X) OAuth2 credential Google Sheets OAuth2 credential OpenRouter credential (choose an affordable model) How to customize Edit the caption prompt (tone, hashtags count, CTAs, compliance lines). Add filters (language, min/max tweet age, exclude replies/retweets, since_id). Extend logging (timestamps, posted text, account, errors). Introduce a dry-run boolean to skip posting while testing. Swap the caption model or add retry rules for robustness. Security: Don’t hardcode tokens in HTTP nodes. Use n8n Credentials only and remove personal IDs before publishing.

🔄 How It Works - LinkedIn Post with Image Automation Overview This n8n automation creates and publishes LinkedIn posts with AI-generated images automatically. It's a complete end-to-end solution that transforms simple post titles into engaging social media content. Step-by-Step Process 1. Content Trigger & Management Google Sheets Trigger** monitors a spreadsheet for new post titles Only processes posts with "pending" status Limits to one post at a time for controlled execution 2. AI Content Generation AI Agent** uses Google Gemini to create engaging LinkedIn posts Takes the post title and generates: Compelling opening hooks 3-4 informative paragraphs Engagement questions Relevant hashtags (4-6) Appropriate emojis Output is structured and formatted for LinkedIn 3. AI Image Creation Google Gemini Image Generation** creates custom visuals Uses the AI-generated post content as context Generates professional images featuring: Modern workspace with coding elements Flutter development themes Professional, LinkedIn-appropriate aesthetics 16:9 aspect ratio, high resolution No text or captions** in the generated image 4. Image Processing & Storage Generated images are uploaded to Google Drive Files are shared with public access permissions Image URLs are stored back in the spreadsheet for tracking 5. LinkedIn Publishing LinkedIn API integration** handles the posting process: Registers image uploads Uploads images to LinkedIn's servers Creates posts with text + image Publishes to your LinkedIn profile Updates spreadsheet status to "posted" Technical Architecture Google Sheets → AI Content → AI Image → Google Drive → LinkedIn API → Status Update ↓ ↓ ↓ ↓ ↓ ↓ Trigger Gemini LLM Gemini File Upload Posting Tracking Content Gen Image Gen Key Features ✅ Fully Automated - Runs continuously without manual intervention ✅ AI-Powered - Both content and images generated by AI ✅ Professional Quality - LinkedIn-optimized formatting and visuals ✅ Real-time Tracking - Monitor status and performance ✅ Scalable - Handle multiple posts and campaigns How to Use Setup Requirements Google Gemini API for content and image generation LinkedIn API credentials for posting Google Sheets for content management Google Drive for image storage n8n instance for workflow execution Content Management Add new post titles to your Google Sheet Set status to "pending" Automation automatically processes and publishes Status updates to "posted" upon completion Customization Options Modify AI prompts for different content styles Adjust image generation parameters Change posting frequency and timing Add multiple LinkedIn accounts Integrate with other content sources Use Cases �� Perfect for: Startups** wanting consistent LinkedIn presence Marketing teams** overwhelmed with content creation HR departments** building employer branding Agencies** managing multiple client accounts Solo entrepreneurs** needing professional social media presence Benefits ⏰ Time Savings: 20+ hours per week for content teams 📈 Consistency: Daily, professional posts without gaps 🎨 Quality: AI-optimized content and visuals 📊 Scalability: Handle unlimited content volume 💰 Cost Effective: Reduce manual content creation costs 🔄 The automation runs continuously, ensuring your LinkedIn presence stays active and engaging 24/7! For inquiries: mfarooqiqbal143@gmail.com

⚠️ Heads up: this is satire. The "Hell Yeah!" workflow is a parody of "automate your whole life with AI agents" grindset content. The API endpoints are fictional and the function nodes are illustrative stubs. It's published as a template because the patterns underneath the joke — multi-channel social fan-out, marketplace scraping with follow-up sequences, CRM sync with chat alerts, cron-triggered daily chains — are genuinely useful starting points for n8n agencies building real lead-gen flows. Swap the jokes for your actual integrations and you've got a working skeleton. How it works A Rise and Grind cron kicks off a parallel "daily lifestyle" routine every morning A gambling → flex chain runs arbitrage math against a fake sportsbook and fans the "wins" out to Instagram, TikTok, Facebook, Threads, LinkedIn, and Twitter in one blast (this is the reusable multi-channel social posting pattern) A Facebook Marketplace lowball engine scrapes listings, filters them, fires templated lowball offers, and runs a relentless follow-up sequence (reusable pattern: scraper → filter → outreach → nurture) An eBay arbitrage loop finds profitable items, relists them, and logs every transaction to Google Sheets A Salesforce + Telegram branch handles "deal alerts" — the standard CRM-sync-with-chat-notification pattern every agency ships Extra satirical branches (Tinder auto-booking, Uber Black to the casino, steak delivery, playing Alice in Chains) are there for the bit — delete or replace them Set up steps Takes about 15–20 minutes if you're just importing to read through the patterns Takes 1–2 hours if you're stripping out the satirical branches and wiring the reusable patterns (social fan-out, marketplace outreach, CRM+Telegram) to your real credentials Replace every fictional HTTP endpoint with your actual API before activating Add credentials for whichever real nodes you keep: Salesforce, Telegram, Google Sheets, WhatsApp, Facebook Graph Detailed notes for each section live in the sticky notes inside the workflow itself

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Automate Social Media with HeyGen and GPT-5: Publish Videos to TikTok, YouTube & Instagram 👥 Who is this for? This workflow is designed for: Content creators who want to scale their short-form video production Marketing teams seeking consistent and automated publishing pipelines Agencies managing multiple social accounts for clients Entrepreneurs looking to save time by automating repetitive content tasks 💡 What problem is this workflow solving? Publishing on multiple platforms like YouTube Shorts, TikTok, and Instagram is often: Time-consuming (manual editing, caption writing, uploads) Inconsistent (different requirements for each platform) Prone to delays (switching between tools) This workflow solves these issues by creating a fully automated video pipeline powered by GPT-5, HeyGen, and Blotato. ⚙️ What this workflow does Capture voice idea via Telegram Transcribe voice to text using OpenAI Whisper Generate a catchy title and caption with GPT-5 Create an AI avatar video with HeyGen Save and organize assets in Google Drive and Google Sheets Upload final video to Blotato Auto-publish to: YouTube Shorts TikTok Instagram (Optional: Facebook, X/Twitter, LinkedIn, Pinterest, Threads, Bluesky) Update logs in Google Sheets Send a Telegram confirmation once published 🧰 Setup Before using this workflow, ensure you have: A Telegram Bot connected to n8n for voice input An OpenAI API key for transcription (Whisper) and GPT-5 processing A HeyGen account & API key for avatar video generation A Google Drive & Google Sheets integration for storing assets and logs A Blotato account (Pro plan) with API access enabled Verified Community Nodes enabled in n8n Admin Panel Blotato node installed and credentials configured 🛠️ How to customize this workflow Prompts** → Adjust GPT-5 prompts to match your brand voice and niche Avatars** → Use custom avatars or voices via HeyGen configuration Platforms** → Activate only the social nodes you need (e.g., focus on TikTok & YouTube Shorts) Approval steps** → Add Telegram or Slack confirmation before publishing Analytics** → Extend the workflow to track engagement data in Google Sheets, Airtable, or Notion This workflow turns a simple spoken idea into a viral-ready video — automatically generated, styled, and posted across your most important platforms. 📄 Documentation: Notion Guide Need help customizing? Contact me for consulting and support : Linkedin / Youtube

Every time you publish a blog post on WordPress, this workflow automatically creates unique, platform-optimised captions for Facebook, Instagram, Twitter and LinkedIn — and publishes them all simultaneously without any manual effort. Built for content creators, digital marketing agencies, SEO agencies, bloggers, and businesses that publish blog content regularly and want to maximise reach across social media without spending hours manually writing different versions for each platform. The Problem This Solves Most businesses publish a blog post and then either copy and paste the same text to every social media platform — which performs poorly because each platform has different audience expectations, character limits, tone and algorithm preferences — or they skip social media promotion entirely because writing four different captions for one post takes too much time. The result is wasted content. Hours of writing a great blog post go unnoticed because the distribution is manual, inconsistent, or nonexistent. This workflow solves that completely. One WordPress publish triggers everything. The AI writes platform-specific captions that actually match how each platform works. Every post gets promoted everywhere automatically. How It Works Step 1 — WordPress Webhook Trigger The workflow starts the instant you publish a post on WordPress. This requires a webhook plugin installed on your WordPress site — the recommended free option is WP Webhooks (available on WordPress.org plugin directory). When you publish or update a post to published status, WP Webhooks sends a POST request to your n8n webhook URL with the full post data including title, content, permalink, thumbnail URL, and post type. No polling. No scheduled checks. The workflow fires in real time the moment your post goes live. Step 2 — Post Type and Status Filter Before any processing happens, the workflow checks two conditions: The post type must be post (not page, product, or custom post type) The post status must be publish (not draft, pending, or scheduled) This ensures the workflow only runs for actual published blog posts and ignores everything else — drafts, page updates, WooCommerce products, and any other WordPress content types. Step 3 — HTML to Markdown Conversion WordPress post content arrives as raw HTML with tags, shortcodes, and formatting markup. Before sending this to an AI model, the workflow converts the HTML content to clean Markdown text using the built-in Markdown node. This removes HTML tags, cleans up formatting, and gives the AI clean, readable text that produces significantly better caption quality than feeding raw HTML. Step 4 — Data Normalization A Set node extracts and organises all the data needed for the rest of the workflow into clean variables: post_title — the blog post title post_content — the cleaned Markdown content post_link — the full permalink URL to the published post post_thumbnail — the featured image URL used for visual posts on Facebook and Instagram facebook_page_id — your Facebook Page ID for the Graph API call instagram_id — your Instagram Business Account ID for the Graph API call Step 5 — AI Caption Generator An AI agent powered by OpenRouter (GPT-4o) reads the post title, link, and the first 800 characters of the post content, then generates four completely different captions — one for each platform — in a single API call. Each caption is written according to strict platform-specific guidelines: Twitter/X caption: Maximum 220 characters. One punchy insight or hook from the post. One to two hashtags only. Ends with the post link. Short, direct, and conversational. Facebook caption: Starts with a bold question or statement. Three to five bullet points of what readers will learn. Ends with the post link. Friendly and conversational tone. Maximum three hashtags. Instagram caption: Opens with a bold hook in the first 125 characters to survive the truncation. Three to five key takeaways as short bullet points. Ends with "Link in bio to read the full guide." Three to five relevant hashtags. Does not include the URL in the body since Instagram does not make links clickable in captions. LinkedIn caption: Professional tone throughout. Hook or surprising statement to open. Three to four short paragraphs covering the problem, what the post covers, the key insight, and a call to action with the link. Two to three professional hashtags. Between 800 and 1200 characters total for maximum LinkedIn algorithmic reach. The output is enforced as strict JSON via a Structured Output Parser — ensuring reliable, parseable data for the downstream publishing nodes every time. Step 6 — Simultaneous Publishing to All Platforms After caption generation, the workflow publishes to all four platforms in parallel: Twitter/X: The Twitter node posts the caption directly using OAuth2 authentication. No additional steps required. Facebook: An HTTP Request node calls the Facebook Graph API /{page_id}/photos endpoint, sending the Facebook caption as the message and the WordPress featured image URL as the photo. This creates a photo post with the caption on your Facebook Page, which performs significantly better than link-only posts in terms of reach and engagement. Instagram: Instagram publishing requires two steps as per the official Meta Graph API requirements. First, an HTTP Request node calls /{instagram_id}/media to create a media container with the caption and featured image URL. Second, another HTTP Request node calls /{instagram_id}/media_publish with the container ID returned from the first step. This is the official two-step publishing flow required by Meta. LinkedIn: The thumbnail image is first downloaded via an HTTP Request node (LinkedIn requires binary image data, not just a URL). Then the LinkedIn node creates a post using the downloaded image binary along with the LinkedIn caption. The post is published to your company organisation page using OAuth2 authentication. WordPress Plugin Required This workflow requires a webhook plugin installed on your WordPress site to send post data to n8n when a post is published. Recommended: WP Webhooks (Free) Available at wordpress.org/plugins/wp-webhooks After installing WP Webhooks on your WordPress site: Go to Settings → WP Webhooks in your WordPress dashboard Click Send Data tab Add a new webhook Select trigger: Post Published or Post Updated Paste your n8n webhook URL as the delivery URL Save and test The plugin will send a POST request to n8n with the full post data every time you publish a blog post. Alternative options: WPBrutha Webhooks Bit Integrations (free plugin with webhook sending) Custom code using WordPress transition_post_status hook if you prefer a code-based approach Payload Structure Your n8n webhook node expects this data structure from WordPress: { "post": { "post_title": "Your Blog Post Title", "post_content": "Your full HTML post content", "post_type": "post", "post_status": "publish" }, "post_permalink": "https://yoursite.com/your-post-slug/", "post_thumbnail": "https://yoursite.com/wp-content/uploads/featured-image.jpg" } The exact field names depend on which WordPress webhook plugin you use. Adjust the Set node field mappings to match the payload structure sent by your chosen plugin. Requirements WordPress website with admin access WP Webhooks plugin (free) or any WordPress webhook plugin installed and configured n8n instance (self-hosted or cloud) with a publicly accessible webhook URL OpenRouter API key (supports GPT-4o, Claude, Gemini, and 200+ other models) Twitter/X Developer account with OAuth2 app credentials Facebook Page with a System User token from Meta Business Portfolio or a long-lived Page Access Token Instagram Business Account connected to your Facebook Page via Meta Business Portfolio LinkedIn Company Page with OAuth2 app credentials Setup Steps Install and activate WP Webhooks on your WordPress site Copy the n8n webhook URL from the Webhook node in this workflow Configure WP Webhooks to send to your n8n webhook URL on post publish Add your OpenRouter API key to n8n credentials Connect your Twitter/X OAuth2 credentials in the Create Tweet node Add your Facebook Page Access Token or System User Token to the HTTP Query Auth credential used in Post on FB node Add the same token to the Instagram nodes — Create Media Container and Post On IG Update the facebook_page_id value in the Clean Data node with your actual Facebook Page ID Update the instagram_id value in the Clean Data node with your actual Instagram Business Account ID Connect your LinkedIn OAuth2 credentials in the Create a post node Update the LinkedIn organisation URN in the Create a post node with your actual company page URN Publish a test post on WordPress and verify all four platforms receive their posts Customization Options Change the AI model** — swap GPT-4o for any OpenRouter model including Claude Sonnet, Gemini Flash, or Mistral to reduce cost per run Adjust caption length and style** — edit the platform guidelines in the system prompt to match your brand voice or preferred posting style Add more platforms** — extend the workflow with TikTok, Pinterest, Threads, or YouTube community posts by adding nodes after the AI Agent Filter by category or tag** — add an IF node after the filter to only trigger for posts in specific WordPress categories Add a delay between platforms** — add Wait nodes between publishing steps if you prefer staggered posting Schedule posts instead of immediate publishing** — replace the direct publishing nodes with a scheduling tool like Postiz or Buffer API Content length control** — the AI currently reads the first 800 characters of post content. Increase or decrease this slice in the user prompt to give the AI more or less context Language support** — the AI will match the language of your blog post automatically. Write in Urdu, Arabic, French, or any other language and captions will be generated in the same language Use Cases SEO and digital marketing agencies** promoting client blog content across all platforms automatically Bloggers and content creators** who publish regularly and want consistent social media presence without manual effort ecommerce businesses** promoting product guides, how-to articles, and SEO content SaaS companies** distributing thought leadership content and product updates Local businesses** sharing informative blog posts about their services News and media sites** distributing articles to social audiences in real time Nodes Used Webhook — receives WordPress post data on publish IF — filters for published blog posts only Markdown — converts HTML post content to clean text Set — normalizes and extracts post data into clean variables AI Agent (LangChain) — generates four platform-specific captions simultaneously Structured Output Parser — enforces JSON output from the AI agent OpenRouter Chat Model — powers the AI caption generation Twitter node — publishes to Twitter/X HTTP Request (Facebook) — posts photo with caption to Facebook Page via Graph API HTTP Request (Instagram container) — creates Instagram media container via Graph API HTTP Request (Instagram publish) — publishes Instagram container to feed HTTP Request (LinkedIn image) — downloads featured image binary for LinkedIn LinkedIn node — publishes image post to LinkedIn company page Built with Meta Graph API v25.0, OpenRouter, Twitter API v2, and LinkedIn API. Compatible with any WordPress site running version 4.7 or above with the WordPress REST API enabled.

Competitor Price Monitoring Dashboard with AI and Real-time Alerts 🎯 Target Audience E-commerce managers and pricing analysts Retail business owners monitoring competitor pricing Marketing teams tracking market positioning Product managers analyzing competitive landscape Data analysts conducting pricing intelligence Business strategists making pricing decisions 🚀 Problem Statement Manual competitor price monitoring is inefficient and often leads to missed opportunities or delayed responses to market changes. This template solves the challenge of automatically tracking competitor prices, detecting significant changes, and providing actionable insights for strategic pricing decisions. 🔧 How it Works This workflow automatically monitors competitor product prices using AI-powered web scraping, analyzes price trends, and sends real-time alerts when significant changes are detected. Key Components Scheduled Trigger - Runs the workflow at specified intervals to maintain up-to-date price data AI-Powered Scraping - Uses ScrapeGraphAI to intelligently extract pricing information from competitor websites Price Analysis Engine - Processes historical data to detect trends and anomalies Alert System - Sends notifications via Slack and email when price changes exceed thresholds Dashboard Integration - Stores all data in Google Sheets for comprehensive analysis and reporting 📊 Google Sheets Column Specifications The template creates the following columns in your Google Sheets: | Column | Data Type | Description | Example | |--------|-----------|-------------|---------| | timestamp | DateTime | When the price was recorded | "2024-01-15T10:30:00Z" | | competitor_name | String | Name of the competitor | "Amazon" | | product_name | String | Product name and model | "iPhone 15 Pro 128GB" | | current_price | Number | Current price in USD | 999.00 | | previous_price | Number | Previous recorded price | 1099.00 | | price_change | Number | Absolute price difference | -100.00 | | price_change_percent | Number | Percentage change | -9.09 | | product_url | URL | Direct link to product page | "https://amazon.com/iphone15" | | alert_triggered | Boolean | Whether alert was sent | true | | trend_direction | String | Price trend analysis | "Decreasing" | 🛠️ Setup Instructions Estimated setup time: 15-20 minutes Prerequisites n8n instance with community nodes enabled ScrapeGraphAI API account and credentials Google Sheets account with API access Slack workspace for notifications (optional) Email service for alerts (optional) Step-by-Step Configuration 1. Install Community Nodes Install required community nodes npm install n8n-nodes-scrapegraphai npm install n8n-nodes-slack 2. Configure ScrapeGraphAI Credentials Navigate to Credentials in your n8n instance Add new ScrapeGraphAI API credentials Enter your API key from ScrapeGraphAI dashboard Test the connection to ensure it's working 3. Set up Google Sheets Connection Add Google Sheets OAuth2 credentials Grant necessary permissions for spreadsheet access Create a new spreadsheet for price monitoring data Configure the sheet name (default: "Price Monitoring") 4. Configure Competitor URLs Update the websiteUrl parameters in ScrapeGraphAI nodes Add URLs for each competitor you want to monitor Customize the user prompt to extract specific pricing data Set appropriate price thresholds for alerts 5. Set up Notification Channels Configure Slack webhook or API credentials Set up email service credentials (SendGrid, SMTP, etc.) Define alert thresholds and notification preferences Test notification delivery 6. Configure Schedule Trigger Set monitoring frequency (hourly, daily, etc.) Choose appropriate time zones for your business hours Consider competitor website rate limits 7. Test and Validate Run the workflow manually to verify all connections Check Google Sheets for proper data formatting Test alert notifications with sample data 🔄 Workflow Customization Options Modify Monitoring Targets Add or remove competitor websites Change product categories or specific products Adjust monitoring frequency based on market volatility Extend Price Analysis Add more sophisticated trend analysis algorithms Implement price prediction models Include competitor inventory and availability tracking Customize Alert System Set different thresholds for different product categories Create tiered alert systems (info, warning, critical) Add SMS notifications for urgent price changes Output Customization Add data visualization and reporting features Implement price history charts and graphs Create executive dashboards with key metrics 📈 Use Cases Dynamic Pricing**: Adjust your prices based on competitor movements Market Intelligence**: Understand competitor pricing strategies Promotion Planning**: Time your promotions based on competitor actions Inventory Management**: Optimize stock levels based on market conditions Customer Communication**: Proactively inform customers about price changes 🚨 Important Notes Respect competitor websites' terms of service and robots.txt Implement appropriate delays between requests to avoid rate limiting Regularly review and update your monitoring parameters Monitor API usage to manage costs effectively Keep your credentials secure and rotate them regularly Consider legal implications of automated price monitoring 🔧 Troubleshooting Common Issues: ScrapeGraphAI connection errors: Verify API key and account status Google Sheets permission errors: Check OAuth2 scope and permissions Price parsing errors: Review the Code node's JavaScript logic Rate limiting: Adjust monitoring frequency and implement delays Alert delivery failures: Check notification service credentials Support Resources: ScrapeGraphAI documentation and API reference n8n community forums for workflow assistance Google Sheets API documentation for advanced configurations Slack API documentation for notification setup

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. How it works • Publishes content to 9 social platforms (Instagram, YouTube, TikTok, Facebook, LinkedIn, Threads, Twitter/X, Bluesky, Pinterest) from a single Airtable base • Automatically uploads media to Blotato, handles platform-specific requirements (YouTube titles, Pinterest boards), and tracks success/failure for each post • Includes smart features like GPT-powered YouTube title optimization, Pinterest Board ID finder tool, and random delays to avoid rate limits Set up steps • Takes ~20–35 minutes to configure all 9 platforms (or less if you only need specific ones) • Requires Airtable personal access token, Blotato API key, and connecting your social accounts in Blotato dashboard • Workflow includes comprehensive sticky notes with step-by-step Airtable base setup, credential configuration, platform ID locations, and quick debugging links for each social network Pro tip: The workflow is modular - you can disable any platforms you don't use by deactivating their respective nodes, making it flexible for any social media strategy from single-platform to full omnichannel publishing.

🚀 AI-Powered LinkedIn Post Automation with Figma Templates 🧩 How It Works This workflow automatically generates professional, branded LinkedIn posts using your custom Figma designs. Perfect for marketers, agencies, content creators, and businesses who want to maintain consistent branding while automating social media content creation. Key Features: Design-first approach using Figma templates AI-powered content generation (optional) High-quality image generation from templates Automatic LinkedIn publishing Telegram notifications for success/failure tracking High-Level Workflow: Template Selection: Fetch your pre-designed Figma templates from Templated Content Preparation: Set static content or configure the prompts in the agents to generate with AI (ChatGPT/Claude) Image Generation: Create branded images with dynamic content via Templated MCP server LinkedIn Publishing: Automatically post text and image to your LinkedIn profile or company page (single image or carousel post) Notification: Receive Telegram alert on success/failure (optional) ⚙️ Set Up Steps (Quick Overview) 🕐 Estimated Setup Time: ~15 minutes Create Templated Account: Sign up at templated.cometai.eu, import Figma designs, generate API key Configure LinkedIn OAuth: Set up LinkedIn Developer app with OAuth2 credentials for automatic posting Connect Templated MCP: Add API key authentication to MCP server nodes for template and image generation Set Up Telegram (Optional): Create bot for workflow notifications Customize Content: Add static fields or configure AI nodes for dynamic content generation Schedule & Activate: Set posting schedule (daily, weekly, etc.) and activate workflow 💡 Important Notes Figma Integration**: Uses real Figma files as templates - maintain professional design quality without manual recreation Template Variables**: Supports dynamic placeholders in Figma text layers for content replacement Character Limits**: Respects maxLength settings to ensure text fits your design Rate Limits**: LinkedIn allows 25 posts/day (personal), 100/day (company pages) AI-Ready**: Easily integrate ChatGPT, Claude, or other AI models for content generation Batch Generation**: Generate multiple posts at once with different templates 🛠 Detailed Node Breakdown 1. Schedule Trigger Action**: Triggers the workflow on a schedule (daily, weekly, custom cron) Configuration**: Set your desired posting frequency Alternative**: Use manual trigger for on-demand posts 2. LinkedIn Post Writer (OpenAI Chat Model) Action**: AI generates engaging LinkedIn post content based on your topic/prompt Tools**: Simple Memory, Think, Date & Time, Search latest news Output**: Professional post text ready for publication 3. Carousel Ideator (Templated MCP Client) Action**: Connects to Templated MCP server to fetch available templates Configuration**: Uses your Templated API key for authentication Output**: Available template IDs and configurations for carousel generation 4. Generate the Carousel (POST to Templated MCP) Action**: Sends content to Templated server with template ID and field data Input**: Template selection, content fields (title, subtitle, etc.) Output**: Encoded carousel images generated from Figma templates 5. Extract from File Action**: Extracts generated image data from the MCP response Process**: Parses the encoded image string for LinkedIn upload 6. Get LinkedIn User Info (HTTP Request) Action**: Fetches your LinkedIn profile URN for post attribution Authentication**: OAuth2 LinkedIn credentials Output**: User ID required for posting 7. Initialize Upload URN Action**: Requests upload URL from LinkedIn for carousel document upload Process**: Prepares LinkedIn's upload mechanism for multi-image posts 8. Edit Fields Action**: Maps and formats data for LinkedIn API requirements Process**: Structures image data and post metadata correctly 9. Convert to Binary Action**: Converts image data to binary format Key**: Required format for LinkedIn document upload API 10. Upload Posts as Binary Action**: Uploads the carousel document to LinkedIn's servers Process**: Multi-part upload of generated images 11. Get Uploaded File URN Action**: Retrieves LinkedIn's asset ID for the uploaded content Output**: Asset URN needed for post creation 12. Switch (Conditional Logic) Action**: Handles success/error routing Routes**: Directs to LinkedIn post creation on success, error notification on failure 13. Create LinkedIn Post (HTTP Request) Action**: Creates the final LinkedIn post with carousel and text Authentication**: OAuth2 with LinkedIn posting permissions Result**: Published carousel post on your LinkedIn feed 14. Success/Error Notifications (Telegram) Action**: Sends notification about workflow execution status Success**: Confirms post published with details Error**: Alerts you to failures with error message and debugging info ⏱ Execution Time Breakdown Total Estimated Execution Time: ~10–30 seconds per workflow run Template Fetch: ~1–2 seconds Content Preparation: ~1–2 seconds Image Generation: ~5–15 seconds LinkedIn Post Upload: ~2–5 seconds Telegram Notification: ~1–2 seconds Note: AI content generation (if added) adds ~5-10 seconds 🚀 Ready to Get Started? What You'll Need: Free Templated account at templated.cometai.eu Figma designs with placeholder text LinkedIn Developer app (free) n8n instance (cloud or self-hosted) Quick Start: Import this workflow to your n8n instance Follow the setup guide in the workflow notes Test with a single post Schedule for automatic posting Sit back and watch your LinkedIn feed grow! 🎉 📝 Notes & Customizations Template Customization Create multiple templates in Figma for different content types (quotes, announcements, tips, etc.) Rotate templates for visual variety Use template descriptions to guide AI content generation Set character limits per placeholder to prevent overflow Content Generation Options Static Mode**: Define fields manually for recurring post types AI Mode**: Connect ChatGPT/Claude for dynamic, topic-based content Hybrid Mode**: Mix static brand elements with AI-generated copy Scheduled Variety**: Rotate between templates and content styles Advanced Features Multi-Platform**: Duplicate workflow for Twitter, Instagram, Facebook A/B Testing**: Track performance across different templates Content Calendar**: Pull scheduled posts from Notion/Airtable Analytics Integration**: Log post IDs for engagement tracking

Amplify Social Media Presence with O3 and GPT-4 Multi-Agent Team 🌍 Overview This n8n workflow acts like a virtual social media department. A Social Media Director Agent coordinates multiple specialized AI agents (Instagram, Twitter/X, Facebook, TikTok, YouTube, and Analytics). Each agent creates or analyzes content for its platform, powered by OpenAI models. The result? A fully automated, cross-platform social media strategy—from content creation to performance tracking. 🟢 Section 1: Trigger & Director Setup 🔗 Nodes: When chat message received (Trigger)** → Starts the workflow whenever you send a request (e.g., “Plan a TikTok campaign for my product launch”). Social Media Director Agent* (connected to *OpenAI O3 model**) → Acts as the strategist. Think Tool** → Helps the Director “reason” before delegating. 💡 Beginner takeaway: This section makes your workflow interactive. You send a request → the Director decides the best approach → then it assigns tasks. 📈 Advantage: Instead of manually planning content per platform, you only send one command, and the AI Director handles the strategy. 🟦 Section 2: Specialized Social Media Agents 🔗 Nodes (each paired with GPT-4.1-mini): 📸 Instagram Content Creator → Visual storytelling, Reels, Hashtags 🐦 Twitter/X Strategist → Viral tweets, trends, engagement 👥 Facebook Community Manager → Audience growth, ads, group engagement 🎵 TikTok Video Creator → Short-form video, viral trends 🎬 YouTube Content Planner → Long-form strategy, SEO, thumbnails 📊 Analytics Specialist → Performance insights, cross-platform reporting 💡 Beginner takeaway: Each platform has its own AI expert. They receive the Director’s strategy and produce tailored content for their platform. 📈 Advantage: Instead of one-size-fits-all posts, you get optimized content per platform—increasing reach and engagement. 🟣 Section 3: Models & Connections 🔗 Nodes: OpenAI Chat Models** (O3 + multiple GPT-4.1-mini models) Each model is connected to its respective agent. 💡 Beginner takeaway: Think of these as the “brains” behind each specialist. The Director uses O3 for advanced reasoning, while the specialists use GPT-4.1-mini (cheaper, faster) for content generation. 📈 Advantage: This keeps costs low while maintaining quality output. 📊 Final Overview Table | Section | Nodes | Purpose | Benefit | | --------------------- | -------------------------------------------------------- | -------------------------------------- | ------------------------------ | | 🟢 Trigger & Director | Chat Trigger, Director, Think Tool | Capture requests & plan strategy | One command → full social plan | | 🟦 Specialists | Instagram, Twitter, Facebook, TikTok, YouTube, Analytics | Platform-specific content | Optimized posts per platform | | 🟣 Models | O3 + GPT-4.1-mini | Provide reasoning & content generation | High-quality, cost-efficient | 🚀 Why This Workflow is Powerful Multi-platform coverage**: All major platforms handled in one flow Human-like strategy**: Director agent makes real marketing decisions Scalable & fast**: Generate a full campaign in minutes Cost-effective**: O3 only for strategy, GPT-4.1-mini for bulk content Beginner-friendly**: Just type your request → get full campaign output