Workflow Templates

This automation template turns any RSS feed into ready-to-publish social content using AI. It continuously ingests articles, scores their quality and relevance, crafts platform-native posts (Twitter/X threads and LinkedIn posts), routes items for review or archiving, logs everything to Google Sheets, and can publish automatically to X, Threads, and LinkedIn. Note: This workflow uses OpenAI models for analysis and content generation and integrates with Upload-Post for multi-platform publishing and Google Sheets for tracking. Costs depend on token usage and posting volume.* Who Is This For? Content Teams & Solo Creators:** Ship consistent, high-signal posts without manual rewriting. Newsletters & Media Brands:** Turn breaking stories into shareable, platform-native content. Agencies:** Scale curation across clients with review and auto-publish paths. Founders & PMMs:** Maintain a steady public presence with minimal effort. What Problem Does This Workflow Solve? Manual curation and rewriting of news is slow and inconsistent. This workflow: Scores Articles:** Filters noise with AI quality/relevance scoring. Auto-Writes Posts:** Generates concise X threads and business-ready LinkedIn copy. Routes Intelligently:** Sends good items to publish/review and archives the rest. Logs Everything:** Keeps a structured history in Google Sheets for analytics. How It Works RSS Polling: Monitors your chosen feed(s) on a schedule. Scoring AI: Rates quality and relevance; extracts summary, key topics, and angle. Parse & Enrich: Normalizes AI output and merges with article metadata. Quality Gates: Directs items to “publish/review” or “archive.” Content Generation: Produces an X thread and a LinkedIn post with clear hooks and insights. Publishing: Uploads to X, Threads, and LinkedIn via Upload-Post (optional). Sheets Logging: Writes summaries, scores, and outputs to Google Sheets. Setup OpenAI API: Add your OpenAI credentials (models like gpt-4.1/gpt-4o). Upload-Post Credentials: Connect the Upload-Post integration and target pages (e.g., LinkedIn org ID). Google Sheets: Add OAuth credentials and point “Store Content”/“New for Review”/“Archive” to your sheets. RSS Feed URL: Replace the sample feed with your preferred sources. Thresholds & Routing: Adjust quality/relevance filters to your standards. Publishing Mode: Toggle platforms (X, Threads, LinkedIn) and decide auto vs. review-first. Requirements Accounts:** n8n, OpenAI, Upload-Post, Google account (Sheets). API Keys:** OpenAI token, Upload-Post credentials, Google Sheets OAuth. Feeds:** One or more RSS URLs for your niche. Features AI Triage:** Quality/relevance scoring to prioritize high-value stories. Platform-Native Output:** Hooked X threads and professional LinkedIn posts. Review or Auto-Publish:** Safe gating before posting live. Analytics-Ready Logs:** Structured entries in Google Sheets. Modular & Extensible:** Swap feeds, add Slack/Discord alerts, or plug into CMS/Notion. Stay top-of-mind: convert fresh news into compelling, on-brand social content—automatically.

Let AI agents fetch communicate with your Bubble app automatically. It connects direcly with your Bubble data API. This workflow is designed for teams building AI tools or copilots that need seamless access to Bubble backend data via natural language queries. How it works Triggered via a webhook from an AI agent using the MCP (Model-Chain Prompt) protocol. The agent selects the appropriate data tool (e.g., projects, user, bookings) based on user intent. The workflow queries your Bubble database and returns the result. Ideal for integrating with ChatGPT, n8n AI-Agents, assistants, or autonomous workflows that need real-time access to app data. Set up steps Enable access to your Bubble data or backend APIs (as needed). Create a Bubble admin token. Add your Bubble node/s to your n8n workflow. Add your Bubble admin token. Configer your Bubble node/s. Copy the generated webhook URL from the MCP Server Trigger node and register it with your AI tool (e.g., LangChain tool loader). (Optional) Adjust filters in the “Get an Object Details” node to match your dataset needs. Once connected, your AI agents can automatically retrieve context-aware data from your Bubble app, no manual lookups required.

How it works This workflow automatically scrapes commercial real estate listings from LoopNet and sends opportunity alerts to Telegram while logging data to Google Sheets. Key Steps Scheduled Trigger - Runs every 24 hours to collect fresh CRE market data AI-Powered Scraping - Uses ScrapeGraphAI to extract property information from LoopNet Market Analysis - Analyzes listings for opportunities and generates market insights Smart Notifications - Sends Telegram alerts only when investment opportunities are found Data Logging - Stores daily market metrics in Google Sheets for trend analysis Set up steps Setup time: 10-15 minutes Configure ScrapeGraphAI credentials - Add your ScrapeGraphAI API key for web scraping Set up Telegram connection - Connect your Telegram bot and specify the target channel Configure Google Sheets - Set up Google Sheets integration for data logging Customize the LoopNet URL - Update the URL to target specific CRE markets or property types Adjust schedule - Modify the trigger timing based on your market monitoring needs Keep detailed configuration notes in sticky notes inside your workflow

Introduction Generates complete scientific papers from title and abstract using AI. Designed for researchers, automating literature search, content generation, and citation formatting. How It Works Extracts input, searches academic databases (CrossRef, Semantic Scholar, OpenAlex), merges sources, processes citations, generates AI sections (Introduction, Literature Review, Methodology, Results, Discussion, Conclusion), compiles document. Workflow Template Webhook → Extract Data → Search (CrossRef + Semantic Scholar + OpenAlex) → Merge Sources → Process References → Prepare Context → AI Generate (Introduction + Literature Review + Methodology + Results + Discussion + Conclusion via OpenAI) → Merge Sections → Compile Document Workflow Steps Input & Search: Webhook receives title/abstract; searches CrossRef, Semantic Scholar, OpenAlex; merges and processes references AI Generation: OpenAI generates six sections with in-text citations using retrieved references Assembly: Merges sections; compiles formatted document with reference list Setup Instructions Trigger & APIs: Configure webhook URL; add OpenAI API key; customize prompts Databases: Set up CrossRef, Semantic Scholar, OpenAlex API access; configure search parameters Prerequisites OpenAI API, CrossRef API, Semantic Scholar API, OpenAlex API, webhook platform, n8n instance Customization Adjust reference limits, modify prompts for research fields, add citation styles (APA/IEEE), integrate databases (PubMed, arXiv), customize outputs (DOCX/LaTeX/PDF) Benefits Automates paper drafting, comprehensive literature integration, proper citations

Complete MCP server exposing 14 doqs.dev | PDF filling API operations to AI agents. ⚡ Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free? Join the community Import this workflow into your n8n instance Credentials Add doqs.dev | PDF filling API credentials Activate the workflow to start your MCP server Copy the webhook URL from the MCP trigger node Connect AI agents using the MCP URL 🔧 How it Works This workflow converts the doqs.dev | PDF filling API into an MCP-compatible interface for AI agents. • MCP Trigger: Serves as your server endpoint for AI agent requests • HTTP Request Nodes: Handle API calls to https://api.doqs.dev/v1 • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Returns responses directly to the AI agent 📋 Available Operations (14 total) 🔧 Designer (7 endpoints) • GET /designer/templates/: List Templates • POST /designer/templates/: Create Template • POST /designer/templates/preview: Preview • DELETE /designer/templates/{id}: Delete • GET /designer/templates/{id}: List Templates • PUT /designer/templates/{id}: Update Template • POST /designer/templates/{id}/generate: Generate Pdf 🔧 Templates (7 endpoints) • GET /templates: List • POST /templates: Create • DELETE /templates/{id}: Delete • GET /templates/{id}: Get Template • PUT /templates/{id}: Update • GET /templates/{id}/file: Get File • POST /templates/{id}/fill: Fill 🤖 AI Integration Parameter Handling: AI agents automatically provide values for: • Path parameters and identifiers • Query parameters and filters • Request body data • Headers and authentication Response Format: Native doqs.dev | PDF filling API responses with full data structure Error Handling: Built-in n8n HTTP request error management 💡 Usage Examples Connect this MCP server to any AI agent or workflow: • Claude Desktop: Add MCP server URL to configuration • Cursor: Add MCP server SSE URL to configuration • Custom AI Apps: Use MCP URL as tool endpoint • API Integration: Direct HTTP calls to MCP endpoints ✨ Benefits • Zero Setup: No parameter mapping or configuration needed • AI-Ready: Built-in $fromAI() expressions for all parameters • Production Ready: Native n8n HTTP request handling and logging • Extensible: Easily modify or add custom logic > 🆓 Free for community use! Ready to deploy in under 2 minutes.

This workflow creates or updates a Mautic contact when a new event is scheduled in Calendly. The first name and email address are the only two fields that get updated. Prerequisites Calendly account and Calendly credentials. Mautic account and Mautic credentials. How it works Triggers on a new event in Calendly. Creates a new contact in Mautic if the email address does not exist in Mautic. Updates the contact's first name in Mautic if the email address exists in Mautic.

How it works This workflow captures new subscribers from a Mailchimp list and extracts their key details. It then enriches the subscriber data using AI, predicting professional attributes and assigning a lead score. Based on the score, high-value leads are identified, and all leads are synced into HubSpot and Pipedrive. For top-priority leads, the workflow automatically creates new deals in Pipedrive for sales follow-up. Step-by-step Step-by-step 1. Capture subscriber data Mailchimp Subscriber Trigger** – Detects new signups in a Mailchimp list. Extract Subscriber Data** – Normalizes payload into clean fields like name, email, and timestamp. 2. Enrich with AI Lead Enrichment AI** – Uses AI to infer company, role, industry, intent, LinkedIn, and lead score. Parse & Merge Enrichment** – Merges AI output with subscriber info and sets defaults if parsing fails. 3. Qualify leads High-Value Lead Check** – Filters leads with a score ≥70 to flag them as priority. Create High-Value Deal** – Opens a new deal in Pipedrive for high-value leads. 4. Sync to CRMs HubSpot Contact Sync** – Updates enriched lead data in HubSpot CRM. Pipedrive Person Create** – Adds lead as a person in Pipedrive. Why use this? Automatically enrich raw Mailchimp subscribers with valuable professional insights. Score and qualify leads instantly for prioritization. Keep HubSpot and Pipedrive updated with enriched lead records. Automate deal creation for high-value opportunities, saving sales team effort. Build a seamless pipeline from marketing signups to CRM-ready opportunities.

Use cases Monitor Google Drive folder, parsing PDF, DOCX and image file into a destination folder, ready for further processing (e.g. RAG ingestion, translation, etc.) Keep processing log in Google Sheet and send Slack notifications. How it works Trigger: Watch Google Drive folder for new and updated files. Create a uniquely named destination folder, copying the input file. Parse the file using Mistral Document, extracting content and handling non-OCRable images separately. Save the data returned by Mistral Document into the destination Google Drive folder (raw JSON file, Markdown files, and images) for further processing. How to use Google Drive and Google Sheets nodes: Create Google credentials with access to Google Drive and Google Sheets. Read more about Google Credentials. Update all Google Drive and Google Sheets nodes (14 nodes total) to use the credentials Mistral node: Create Mistral Cloud API credentials. Read more about Mistral Cloud Credentials. Update the OCR Document node to use the Mistral Cloud credentials. Slack nodes: Create Slack OAuth2 credentials. Read more about Slack OAuth2 credentials Update the two Slack nodes: Send Success Message and Send Error Message: Set the credentials Select the channel where you want to send the notifications (channels can be different for success and errors). Create a Google Sheets spreadsheet following the steps in Google Sheets Configuration. Ensure the spreadsheet can be accessed as Editor by the account used by the Google Credentials above. Create a directory for input files and a directory for output folders/files. Ensure the directories can be accessed by the account used by the Google Credentials. Update the File Created, File Updated and Workflow Configuration node following the steps in the green Notes. Requirements Google account with Google API access Mistral Cloud account access to Mistral API key. Slack account with access to Slack client ID and secret ID. Basic n8n knowledge: understanding of triggers, expressions, and credential management Who’s it for Anyone building a data pipeline ingesting files to be OCRed for further processing. 🔒 Security All credentials are stored as n8n credentials. The only information stored in this workflow that could be considered sensitive are the Google Drive Directory and Sheet IDs. These directories and the spreadsheet should be secured according to your needs. Need Help? Reach out on LinkedIn or Ask in the Forum!

This template can be used as a real-time listening and processing of search results with Icypeas. Be sure to have an active account to use this template. How it works This workflow can be divided into two steps : A webhook node to link your Icypeas account with your n8n workflow. A set node to retrieve the relevant informations. Set up steps You will need a working icypeas account to run the workflow and you will have to paste the production URL provided by the n8n webhook node.

Description Automate B2B order invoicing by fetching orders from Airtable, validating paid B2B entries, creating Stripe customers and invoices, finalizing invoices, and logging structured invoice data into Google Sheets. This workflow ensures seamless B2B billing, centralized record-keeping, and reduces manual errors in financial operations. ⚡💳📊 What This Template Does Triggers hourly to check for new B2B orders. ⏱️ Fetches order data from Airtable (Orders table). 📥 Filters only paid orders with “B2B” tag. ✅ Creates a corresponding Stripe customer from order details. 👤 Processes order line items for invoicing. 📦 Creates a Stripe invoice with due date and payment terms. 🧾 Finalizes the invoice automatically. ✔️ Formats invoice details (totals, due dates, customer info, links). 🔄 Logs structured invoice data into Google Sheets for tracking. 📊 Key Benefits Fully automates B2B invoicing workflow from orders to finalized invoices. 🔄 Ensures all invoices are linked, structured, and logged in Sheets. 🧾 Reduces manual effort and eliminates data entry errors. ⚡ Maintains centralized invoice tracking for finance teams. 📂 Creates a consistent billing flow integrated with Stripe. 💳 Features Hourly Trigger – Continuously monitors Airtable for new/updated orders. Airtable Integration – Fetches order details automatically. Conditional Filter – Processes only “B2B” paid orders. Stripe Customer Creation – Automatically creates customers in Stripe. Line Item Processor – Handles Shopify/Order line items or test data. Stripe Invoice Creation – Generates draft invoices with due dates. Invoice Finalization – Auto-finalizes and prepares invoices for payment. Data Formatter – Structures invoice info (totals, links, dates, status). Google Sheets Integration – Logs all invoice data for reporting. Requirements n8n instance (cloud or self-hosted). Airtable Personal Access Token with read access to Orders table. Stripe API credentials with customer + invoice permissions. Google Sheets OAuth2 credentials with read/write access. Target Audience Finance/ops teams handling B2B customer invoicing. 💼 SaaS or eCommerce businesses with B2B order flows. 🛍️ Startups needing automated billing + centralized reporting. 🚀 Teams tracking Stripe invoices inside Google Sheets. 📊 Step-by-Step Setup Instructions Connect Airtable credentials and replace with your base/table IDs. 🔑 Configure Stripe API credentials for invoice + customer creation. 💳 Link Google Sheets credentials and update the target sheet ID. 📊 Adjust order filtering conditions (tags, payment status) as needed. ⚙️ Test with sample data to validate invoices are created + logged. ✅

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. How it works This workflow automatically synchronizes contact data from multiple CRM systems (HubSpot, Pipedrive, and Salesforce) into a unified Google Sheets database. The system runs on a daily schedule or can be triggered manually via webhook. It uses AI-powered data processing to intelligently deduplicate records, calculate data quality scores, and merge similar contacts. The workflow generates comprehensive quality reports and sends notifications via Slack, ensuring your master database stays clean and up-to-date. Who is this for This template is designed for revenue operations teams, data managers, and business analysts who need to consolidate customer data from multiple CRM platforms. It's particularly valuable for organizations using multiple sales tools simultaneously or during CRM migration projects. The workflow helps maintain data integrity while providing insights into data quality across different systems. Requirements Google Sheets Account**: For storing master database and quality reports CRM Platform Access**: API credentials for HubSpot, Pipedrive, and/or Salesforce OpenAI API Key**: For AI-powered data processing and deduplication MCP Server**: Github:marlonluo2018/pandas-mcp-server (optional - can be replaced with Code node) Slack Webhook**: For receiving sync completion and error notifications How to set up Configure Environment Variables - Set up secure credential storage for all API keys: HUBSPOT_API_KEY, PIPEDRIVE_API_KEY, SALESFORCE_ACCESS_TOKEN, OPENAI_API_KEY, and SLACK_WEBHOOK_URL Create Google Sheets Structure - Create a master Google Sheet with two tabs: "Master_CRM_Data" for the unified contact database and "Quality_Reports" for tracking sync statistics and data quality metrics Set Up MCP Server - Install and configure "marlonluo2018/pandas-mcp-server" Update Configuration Center - Modify all placeholder values in the Configuration Center node with your actual Google Sheet IDs, quality thresholds, deduplication keys, and batch processing settings

Efficient loop-less N8N Workflow Backup Automation to Google Drive This workflow eliminates traditional loop-based processing entirely, delivering unprecedented performance and reliability even when the number of workflows to be processed are large What Makes This Different: NO SplitInBatches node** - Traditional workflows use loops to process workflows one by one NO individual file uploads** - No more multiple Google Drive API calls NO batch error handling** - Eliminates complex loop iteration error management ALL workflows processed simultaneously** - Revolutionary single-operation approach Single compressed archive** - One ZIP file containing all workflows One Google Drive upload** - Maximum efficiency, minimum API usage Key Benefits of Non-Loop Architecture: 3-5x Faster Execution** - Eliminated loop overhead and multiple API calls Reduced API Costs** - Single upload instead of dozens of individual operations Higher Reliability** - Fewer failure points, centralized error handling Better Scalability** - Performance doesn't degrade with workflow count Large Workflow Support* - *Efficiently handles hundreds of workflows without performance degradation** Easier Maintenance** - Simpler workflow structure, easier debugging Cleaner Monitoring** - Single success/failure point instead of loop iterations Who's it for This template is designed for n8n users, DevOps engineers, system administrators, and IT professionals who need reliable, automated backup solutions for their n8n workflows. It's perfect for businesses and individuals who want to ensure their workflow automation investments are safely backed up with intelligent scheduling, compression, and cloud storage integration. How it works / What it does This workflow creates an intelligent, automated backup system that transforms n8n workflow backups from inefficient multi-file operations into streamlined single-archive automation. The system: Triggers automatically every 4 hours or manually on-demand Creates timestamped folders in Google Drive for organized backup storage Retrieves all n8n workflows via the n8n API in a single operation Converts workflows to JSON and aggregates binary data efficiently Compresses all workflows into a single ZIP archive (eliminating the need for loops) Uploads the compressed backup to Google Drive in one operation Provides real-time Slack notifications for monitoring and alerting Key Innovation: No Loops Required - Unlike traditional backup workflows that use SplitInBatches or loops to process workflows individually, this system processes all workflows simultaneously and creates a single compressed archive, dramatically improving performance and reliability. How to set up 1. Configure Google Drive API Credentials Set up Google Drive OAuth2 API credentials Ensure the service account has access to create folders and upload files Update the parent folder ID where backup folders will be created 2. Configure n8n API Access Set up internal n8n API credentials for workflow retrieval Ensure the API has permissions to read all workflows Configure retry settings for reliability 3. Set up Slack Notifications Configure Slack API credentials for the notification channel Update the channel ID where backup notifications will be sent Customize notification messages as needed 4. Schedule Configuration The workflow automatically runs every 4 hours Manual execution is available for immediate backups Adjust the schedule in the Schedule Trigger node as needed 5. Test the Integration Run a manual backup to verify all components work correctly Check Google Drive for the created backup folder and ZIP file Verify Slack notifications are received Requirements n8n instance** (self-hosted or cloud) with API access Google Drive account** with API access and sufficient storage Slack workspace** for notifications (optional but recommended) n8n workflows** that need regular backup protection How to customize the workflow Modify Backup Frequency Adjust the Schedule Trigger node for different intervals (hourly, daily, weekly) Add multiple schedule triggers for different backup types Implement conditional scheduling based on workflow changes Enhance Storage Strategy Add multiple Google Drive accounts for redundancy Implement backup rotation and retention policies Add compression options (ZIP, TAR, 7Z) for different use cases Expand Notification System Add email notifications for critical backup events Integrate with monitoring systems (PagerDuty, OpsGenie) Add backup success/failure metrics and reporting Security Enhancements Implement backup encryption before upload Add backup verification and integrity checks Set up access logging and audit trails Performance Optimizations Add parallel processing for large workflow collections Implement incremental backup strategies Add backup size monitoring and alerts Key Features Zero-loop architecture** - Processes all workflows simultaneously without batch processing Intelligent compression** - Single ZIP archive instead of multiple individual files Automated scheduling** - Runs every 4 hours with manual override capability Organized storage** - Timestamped folders with clear naming conventions Real-time monitoring** - Slack notifications for all backup events Error handling** - Centralized error management with graceful failure handling Scalable design** - Handles any number of workflows efficiently Technical Architecture Highlights Eliminated Inefficiencies No SplitInBatches node** - Replaced with direct workflow processing No individual file uploads** - Single compressed archive upload No loop iterations** - All workflows processed in one operation No batch error handling** - Centralized error management Performance Improvements Faster execution** - Eliminated loop overhead and multiple API calls Reduced API quota usage** - Single Google Drive upload per backup Better resource utilization** - Efficient memory and processing usage Improved reliability** - Fewer points of failure in the workflow Data Flow Optimization Parallel processing** - Folder creation and workflow retrieval happen simultaneously Efficient aggregation** - Code node processes all binaries at once Smart compression** - Single ZIP with all workflows included Streamlined upload** - One file transfer instead of multiple operations Use Cases Production n8n instances** requiring reliable backup protection Development teams** needing workflow version control and recovery DevOps automation** requiring disaster recovery capabilities Business continuity** planning for critical automation workflows Compliance requirements** for workflow documentation and backup Team collaboration** with shared workflow backup access Business Value Risk Mitigation** - Protects valuable automation investments Operational Efficiency** - Faster, more reliable backup processes Cost Reduction** - Lower storage costs and API usage Compliance Support** - Organized backup records for audits Team Productivity** - Reduced backup management overhead Scalability** - Handles growth without performance degradation This template revolutionizes n8n workflow backup by eliminating the complexity and inefficiency of traditional loop-based approaches, providing a robust, scalable solution that grows with your automation needs while maintaining the highest levels of reliability and performance.