Workflow Templates

This n8n workflow allows you to automatically monitor the status of multiple URLs in a simple and efficient way. You just need to enter the URLs you want to scan and run the workflow (either manually or scheduled). For each URL, an availability check is performed. The results are logged in a Google Sheet, clearly distinguishing between successful checks and failures (downtime). If any URL fails, the system filters these errors and automatically sends an email alert notifying you of the detected outages. The workflow includes help messages in both English and Spanish, integrates with Google Sheets and Gmail, and is suitable for both one-off tasks and scheduled monitoring. For Who? Webmasters SEO & Marketing Teams SysAdmins Anyone needing automated website uptime monitoring How it works? Enter the URLs to scan in the “URLs” field. Trigger the workflow manually or schedule it to run automatically. For each URL, the workflow: Checks if the URL is online or down. Logs the status (success or error) in a Google Sheet. At the end, filters the failed URLs (crashes) and sends an email alert l

Who is this for? This workflow is ideal for Gmail users and teams who receive a high volume of emails and want to streamline inbox management. It suits professionals seeking to organize messages automatically, including sales teams, project managers, support staff, and anyone who benefits from automated email categorization. What problem is this workflow solving? / Use case Manually labeling emails is time-consuming and can lead to inconsistent organization. This automated n8n workflow uses Gmail and OpenAI to analyze incoming messages and apply the appropriate labels, such as "Quotation", "Inquiry", "Project progress", and "Notification", based on content—improving productivity and ensuring important messages are prioritized. What this workflow does The workflow retrieves new Gmail messages, analyzes their content with OpenAI, and automatically assigns pre-defined Gmail labels that match the email’s intent. This ensures emails are sorted efficiently using AI-powered content analysis and Gmail’s labeling system. Setup Ensure Gmail labels (e.g., "Quotation", "Inquiry") are created in your Gmail account. Connect your Gmail and OpenAI accounts as credentials in n8n. Import the workflow into your n8n instance and update node configurations to match your Gmail label names. How to customize this workflow to your needs Edit or add Gmail labels both in your Gmail account and within the workflow logic. Adjust the prompt or parameters sent to OpenAI to better match your categorization style. Expand or refine the list of label categories to fit your team’s or business’s requirements.

🔥 Daily Web Scraper & AI Summary with Firecrawl + Email Automation Need to extract and summarize web content from a site that doesn’t have an API? This workflow runs daily to scrape a web page using Firecrawl, summarize the content with OpenAI, and send it directly to your email — fully automated. Watch Full Video Step-by-step Tutorial Here: https://www.youtube.com/@Automatewithmarc 🔧 How It Works Daily Trigger – Starts the workflow every 24 hours. Firecrawl Node – Crawls and extracts structured data from any web page you specify. OpenAI Node (Optional) – Processes and summarizes the raw content using a prompt you control. Gmail Node – Sends the final summary or content snapshot to your email inbox. ✅ Perfect For Business analysts tracking daily market or industry news Researchers and founders automating competitive intelligence Anyone who wants web data delivered without coding or scraping scripts 🪜 Setup Instructions Firecrawl API Key – Sign up and insert your key in the credentials. Update Target URL – Edit the URL in the Firecrawl node to your desired site. Customize the Prompt – Tailor the OpenAI prompt to extract the insights you want. Connect Gmail – Add your Gmail credentials and set your recipient email. 🧰 Built With Firecrawl (Web scraping without code) OpenAI (For summarizing and insight extraction) Gmail (Automated notifications) n8n (Workflow automation engine)

What this workflow does Downloads the daily top podcasts of a selected genre Summarizes the content of each podcast in a few paragraphs Sends the summaries and the direct link to each podcast in a formatted email Setup Create a free API key on Taddy here: https://taddy.org/signup/developers Input your user number and API key into the TaddyTopDaily node in the header parameters X-USER-ID and X-API-KEY respectively. Create access credentials for your Gmail as described here: https://developers.google.com/workspace/guides/create-credentials. Use the credentials from your client_secret.json in the Gmail node. In the Genre node, set the genre of podcasts you want a summary for. Valid values are: TECHNOLOGY, NEWS, ARTS, COMEDY, SPORTS, FICTION, etc. Look at api.taddy.org for the full list (they will be displayed in the help docs as PODCASTSERIES_TECHNOLOGY, PODCASTSERIES_NEWS, etc.) Enter your email address in the Gmail node. Change the schedule time for sending email from Schedule to whichever time you want to receive the email. Test: Hit Test Workflow. Check your email for the results. That's it! It should take less than 5 minutes total.

Who is this for? This template is ideal for DevOps engineers, automation specialists, and n8n users who manage multiple workflows and want a reliable version control system for backups. It’s especially useful for teams collaborating via GitHub. What problem is this workflow solving? Manually backing up n8n workflows to GitHub can be time-consuming and error-prone. This workflow solves that by automating the backup of new and updated n8n workflows, ensuring your GitHub repository always reflects the latest changes. What this workflow does Retrieves all workflows from your local n8n instance. Decodes their content and compares it with existing GitHub files. Detects newly created or updated workflows. Creates a new Git branch and commits changes. Opens a pull request (PR) to the main branch. Sends a Slack notification when the PR is created. The system uses GitHub API, n8n, Merge, Set, and Slack nodes for full automation. Setup GitHub credentials: Add your GitHub API credentials in n8n. Slack integration: Connect your Slack Bot token if you want PR notifications. Repository details: Update github_owner, repo_name, and workflow directory path in the “Define Local Variables” node. n8n API key - Check this doc How to customize this workflow to your needs Change the workflow directory from workflows/ to a custom path. Modify the Slack message or add email notification support. Add filters to back up only specific workflows based on naming or tags. Adjust branch naming conventions or use different GitHub base branches. This workflow provides a seamless backup and versioning pipeline, minimizing manual Git interactions and supporting collaborative automation development.

What this template does This template serves as a Chatbot that enables you to ask questions about the content of a PDF directly in Telegream. It checks incoming Telegram messages if they contain a document. If they do, it stores the PDF in a Pinecone Vector store. If there's no document, it will search the Vector Store for information and try to answer your question. Setup Open the Telegram app and search for the BotFather user (@BotFather) Start a chat with the BotFather Type /newbot to create a new bot Follow the prompts to name your bot and get a unique API token Save your access token and username Once you set your bot, you can send the pdf, and then ask questions about the content. How to adjust it to your needs You can exchange the Groq chat model with any model that you like Exchange Pinecone with any other vector store tool you like (e.g. Supabase, Postgres or QDrant) #Telegram, #Pinecone, #Openai, #GroQ

What Problem Does This Solve? 🛠️ This workflow automates the process of extracting information from a Google Doc, storing it in a Pinecone vector database, and using it to personalize and send emails based on user input via chat. It eliminates the manual steps of gathering recipient data, writing messages, and dispatching emails providing a fully automated, intelligent communication system. Perfect for teams that need to: Maintain dynamic contact lists Personalize bulk or contextual email outreach Use chat interfaces to trigger intelligent email actions Target Audience: Sales teams, marketing departments, HR staff, startup founders, or anyone looking to automate AI-powered communication workflows. What Does It Do? 🌟 Extracts content from a Google Docs document (e.g., a list of contacts or structured notes) Splits, embeds, and stores that content in Pinecone for semantic search Listens for incoming chat messages using n8n's chatTrigger Uses LangChain agents with OpenAI to: Search Pinecone for contextually relevant information (e.g., email addresses) Compose personalized emails based on instructions Sends emails using the Gmail API, triggered dynamically from the AI output Key Features 📋 Google Docs integration for live document data Embedding & vector search with Pinecone for AI lookups Custom LangChain agents with tool calling logic (search + send) Full support for OpenAI models (GPT-4o) Personalized email generation with dynamic name and message filling Modular design: plug-and-play with other tools like CRMs, Notion, etc. Setup Instructions Prerequisites n8n Instance:** Self-hosted or cloud instance Google Docs Account:** For reading input content Pinecone Account:** For storing document data semantically OpenAI Account:** For generating embeddings and messages Gmail Account:** With Gmail OAuth2 credentials for sending emails Installation Steps 📦 1. Import the Workflow Import the provided JSON files into your n8n instance. 2.Configure Credentials Go to n8n > Credentials, and set up: Google Docs API** OpenAI API** Pinecone API** Gmail OAuth2** 3. Set Your Pinecone Index & Namespace Ensure you have a working Pinecone index (e.g., n8ndocs) and namespace (e.g., docsmail). 4. Test the Full Flow Run the Google Docs → Pinecone embedding workflow to prepare data. Send a message to the chatTrigger endpoint (e.g., "Send an offer to User"). Check the execution log to verify correct tool usage and Gmail delivery. How It Works 🔍 1. Data Preparation: Google Doc content is fetched and chunked. OpenAI embeddings are created. Data is stored in Pinecone under a specific namespace. 2. Chat Trigger: A webhook captures chat input. The LangChain agent interprets the user request. The agent uses two tools: Vectorstore_mails: Retrieves relevant emails via Pinecone vector search send_mail: Uses an internal n8n sub-workflow to send Gmail messages 3. Mail Generation & Delivery: Email is personalized using recipient info (name/email from Pinecone) Message follows a clean, friendly format with clear subject and closing Delivered via Gmail integration

Automated n8n workflow: Receives videos via form, dubs/translates them to the selected languages, and—upon completion—uploads them to multiple social media channels and cloud drives, including Box, Dropbox, and YouTube, Telegram, Postiz (Facebook, Instagram, Tiktok, Reddit etc.) Workflows Via n8n form select files to dub for desired languages. Listen webhook and whenever dubbing finishes upload to desired platforms Used Stacks DubLab App (ApiKey, Webhook Setup Required) Optional (Upload) Telegram (Token Required) Box (Oauth2 Required) Dropbox (Oauth2 Required) Youtube (Oauth2 Required) Postiz (ApiKey Required)

This workflow implements a Retrieval Augmented Generation (RAG) chatbot that answers employee questions based on company documents stored in Google Drive. It automatically indexes new or updated documents in a Pinecone vector database, allowing the chatbot to provide accurate and up-to-date information. The workflow uses Google's Gemini AI for both embeddings and response generation. How it works The workflow uses two Google Drive Trigger nodes: one for detecting new files added to a specified Google Drive folder, and another for detecting file updates in that same folder. Automated Indexing: When a new or updated document is detected The Google Drive node downloads the file. The Default Data Loader node loads the document content. The Recursive Character Text Splitter node breaks the document into smaller text chunks. The Embeddings Google Gemini node generates embeddings for each text chunk using the text-embedding-004 model. The Pinecone Vector Store node indexes the text chunks and their embeddings in a specified Pinecone index. 7.The Chat Trigger node receives user questions through a chat interface. The user's question is passed to an AI Agent node. The AI Agent node uses a Vector Store Tool node, linked to a Pinecone Vector Store node in query mode, to retrieve relevant text chunks from Pinecone based on the user's question. The AI Agent sends the retrieved information and the user's question to the Google Gemini Chat Model (gemini-pro). The Google Gemini Chat Model generates a comprehensive and informative answer based on the retrieved documents. A Window Buffer Memory node connected to the AI Agent provides short-term memory, allowing for more natural and context-aware conversations. Set up steps Google Cloud Project and Vertex AI API: Create a Google Cloud project. Enable the Vertex AI API for your project. Google AI API Key: Obtain a Google AI API key from Google AI Studio. Pinecone Account: Create a free account on the Pinecone website. Obtain your API key from your Pinecone dashboard. Create an index named company-files in your Pinecone project. Google Drive: Create a dedicated folder in your Google Drive where company documents will be stored. Credentials in n8n: Configure credentials in your n8n environment for: Google Drive OAuth2 Google Gemini(PaLM) Api (using your Google AI API key) Pinecone API (using your Pinecone API key) Import the Workflow: Import this workflow into your n8n instance. Configure the Workflow: Update both Google Drive Trigger nodes to watch the specific folder you created in your Google Drive. Configure the Pinecone Vector Store nodes to use your company-files index.

Attachments Gmail to Drive and Google Sheets Description Automatically process invoice emails by saving attachments to Google Drive and extracting key invoice data to Google Sheets using AI. This workflow monitors your Gmail for unread emails with attachments, saves PDFs to a specified Google Drive folder, and uses OpenAI's GPT-4o to extract invoice details (date, description, amount) into a structured spreadsheet. Use cases Invoice Management**: Automatically organize and track invoices received via email Financial Record Keeping**: Maintain a structured database of all invoice information Document Organization**: Keep digital copies of invoices organized in Google Drive Automated Data Entry**: Eliminate manual data entry for invoice processing Resources Gmail account Google Drive account Google Sheets account OpenAI API key Setup instructions Prerequisites Active Gmail, Google Drive, and Google Sheets accounts OpenAI API key (GPT-4o model access) n8n instance with credentials manager Steps Gmail and Google Drive Setup: Connect your Gmail account in n8n credentials Connect your Google Drive account with appropriate permissions Create a destination folder in Google Drive for invoice storage Google Sheets Setup: Connect your Google Sheets account Create a spreadsheet with columns: Invoice date, Invoice Description, Total price, and Fichero Copy your spreadsheet ID for configuration OpenAI Setup: Add your OpenAI API key to n8n credentials Configure Email Filter: Update the email filter node to match your specific sender requirements Benefits Time Saving**: Eliminates manual downloading, filing, and data entry Accuracy**: AI-powered data extraction reduces human error Organization**: Consistent file naming and storage structure Searchability**: Creates a searchable database of all invoice information Automation**: Runs every minute to process new emails as they arrive Related templates Email Parser to CRM Document Processing Workflow Financial Data Automation

Generate SEO-Optimized WordPress Content with Perplexity Research Who is This For? This workflow is ideal for content creators, marketers, and businesses looking to streamline the creation of SEO-optimized blog posts for WordPress. It is particularly suited for professionals in the AI consulting and workflow automation industries. What Problem Does This Workflow Solve? Creating high-quality, SEO-friendly blog posts can be time-consuming and challenging, especially when trying to balance research, formatting, and publishing. This workflow automates the process by integrating research capabilities, AI-driven content creation, and seamless WordPress publishing. It reduces manual effort while ensuring professional-grade output. What This Workflow Does Research: Gathers detailed insights from Perplexity AI based on user-provided queries. Content Generation: Uses OpenAI models to create structured blog posts, including titles, slugs, meta descriptions, and HTML content optimized for WordPress. Image Handling: Automatically fetches and uploads featured images to WordPress posts. Publishing: Drafts the blog post directly in WordPress with all necessary formatting and metadata. Notification: Sends a success message via Telegram upon completion. Setup Guide Prerequisites: A WordPress account with API access. OpenAI API credentials. Perplexity AI API credentials. Telegram bot credentials for notifications. Steps: Import the workflow into your n8n instance. Configure API credentials for WordPress, OpenAI, Perplexity AI, and Telegram. Customize the form trigger to define your research query. Test the workflow using sample queries to ensure smooth execution. How to Customize This Workflow to Your Needs Modify the research query prompt in the "Form Trigger" node to suit your industry or niche. Adjust content generation guidelines in the "Copywriter AI Agent" node for specific formatting preferences. Replace the image URL in the "Set Image URL" node with your own source or dynamic image selection logic.

Who this is for The Google Trend Data Extract & Summarization workflow is ideal for trend researchers, digital marketers, content strategists, and AI developers who want to automate the extraction, summarization, and distribution of Google Trends data. This end-to-end solution helps transform trend signals into human-readable insights and delivers them across multiple channels. It is built for: Market Researchers** - Tracking trends by topic or region Content Strategists** - Identifying content opportunities from trending data SEO Analysts** - Monitoring search volume and shifts in keyword popularity Growth Hackers** - Reacting quickly to real-time search behavior AI & Automation Engineers** - Creating automated trend monitoring systems What problem is this workflow solving? Google Trends data can provide rich insights into user interests, but the raw data is not always structured or easily interpretable at scale. Manually extracting, cleaning, and summarizing trends from multiple regions or categories is time-consuming. This workflow solves the following problems: Automates the conversion of markdown or scraped HTML into clean textual input Transforms unstructured data into structured format ready for processing Uses AI summarization to generate easy-to-read insights from Google Trends Distributes summaries via email and webhook notifications Persists responses to disk for archiving, auditing, or future analytics What this workflow does Receives input: Sets an URL for the data extraction and analysis. Uses Bright Data’s Web Unlocker to extract content from relevant site. Markdown to Textual Data Extractor: Converts markdown content into plaintext using n8n’s Function or Markdown nodes Structured Data Extract: Parses the plaintext into structured JSON suitable for AI processing Summarize Google Trends: Sends structured data to Google Gemini with a summarization prompt to extract key takeaways Send Summary via Gmail: Composes an email with the AI-generated summary and sends it to a designated recipient Persist to Disk: Writes the AI structured data to disk Webhook Notification: Sends the summarized response to an external system (e.g., Slack, Notion, Zapier) using a webhook Setup Sign up at Bright Data. Navigate to Proxies & Scraping and create a new Web Unlocker zone by selecting Web Unlocker API under Scraping Solutions. In n8n, configure the Header Auth account under Credentials (Generic Auth Type: Header Authentication). The Value field should be set with the Bearer XXXXXXXXXXXXXX. The XXXXXXXXXXXXXX should be replaced by the Web Unlocker Token. A Google Gemini API key (or access through Vertex AI or proxy). Update the Set URL and Bright Data Zone for setting the brand content URL and the Bright Data Zone name. Update the Webhook HTTP Request node with the Webhook endpoint of your choice. How to customize this workflow to your needs Update Source : Update the workflow input to read from Google Sheet or Airbase etc. Gemini Prompt Tuning : Customize prompts to extract summaries like: Summarize the most significant trend shifts Generate content ideas from the trending search topics Email Personalization : Configure Gmail node to: Use dynamic subject lines like: Weekly Google Trends Summary – {{date}} Send to multiple stakeholders or mailing lists File Storage Customization : Save with timestamps, e.g., trends_summary_2025-04-29.json Extend to S3 or cloud drive integrations Webhook Use Cases : Send summary to: Internal dashboards Slack channels Automation tools like Make, Zapier etc.