by Puspak
🚀 Remote Job Automation Workflow Automatically fetch, clean, and broadcast the latest remote job listings — powered by RemoteOK, Airtable, and Telegram. 🔧 Key Features Seamless Data Fetching: Pulls the latest job listings from the RemoteOK API using an HTTP Request node. Smart Data Processing (via Code Node): Filters out irrelevant metadata Cleans and sanitizes job descriptions (e.g., HTML tags, special characters) Handles malformed or encoded text gracefully Extracts and formats salary ranges for clarity Airtable Integration (Upsert): Stores each job as a unique record using job ID Avoids duplication through conditional upserts using Airtable's Personal Access Token Telegram Bot Broadcasting: Automatically formats and sends job posts to a Telegram group or channel Keeps your community or team updated in real-time 📦 Tech Stack RemoteOK API – source of curated remote job listings Airtable – lightweight, accessible job database Telegram Bot API – for real-time job notifications n8n – workflow automation engine to tie everything together 🔁 Workflow Overview Fetch Jobs from RemoteOK API Clean & Normalize job descriptions and metadata Extract Salary ranges and standardize them Upsert to Airtable (avoiding duplicates) Format Post for visual clarity Send to Telegram via bot integration 🧠 Perfect For Remote job boards or aggregators Recruitment agencies/startups Developers building personal job feeds Communities or channels sharing curated remote opportunities Automating newsletters or job digests ✅ Benefits Near real-time updates Minimal maintenance Full control and extensibility with n8n
by OsherD
This workflow collects tweets (100 but adjustable) and add them to AirTable. Starting the 2nd execution, the workflow will add only the new tweets (based on Tweet ID), so there won't be any tweet duplications
by Jonathan
This workflow uses a Mautic Trigger to check for new contacts. It then validates the contacts' email using OneSimpleAPI. If there are any a message will be sent to Slack. To configure this workflow you will need to set the credentials for the Hubspot, OneSimpleAPI and Slack Nodes. You will also need to select the Slack channel to use for sending the message.
by Jonathan
This workflow will collect the RSS feed data from the previous day and post them to a Slack channel. To use this workflow you will need to add your credentials to the Slack node and select the channel for notifications. You will also need to input the URL for the RSS feed.
by Eumentis
What It Does This workflow automatically runs when a new email is received in the user's Gmail account. It sends the email content to OpenAI (GPT-4.1-mini), which intelligently determines whether the message requires action. If the email is identified as actionable, the workflow sends a structured alert message to the user in Microsoft Teams. This keeps the user informed of high-priority emails in real time without the need to manually check every message. The workflow does not log any execution data, ensuring that email content remains secure and unreadable by others. How It Works Trigger on New Email**: The workflow is triggered automatically when a new email is received in the user's Gmail account. Email Evaluation with OpenAI**: The email content is sent to GPT-4.1-MINI, which evaluates whether the message requires user action. Filter Actionable Emails**: Only emails identified as actionable by the AI are allowed to proceed through the rest of the workflow. Send Notification to Teams**: For actionable emails, the workflow sends a structured alert message to the user in Microsoft Teams chat via a Power Automate webhook. Prerequisites Gmail IMAP Credentials OpenAI API Key Microsoft Teams Webhook URL Power Automate Flow to send message to Teams chat How to Set It Up 1. Set Up Power Automate Workflow 1.1 Open Workflow Power Automate in Microsoft Teams Open the Workflow app from Microsoft Teams. If it's not already added, go to Apps → search "Workflow" → click Add → open it. 1.2 Create a New Flow Click New Flow → select Create from blank. 1.3 Add a Trigger: When a Teams webhook request is received In the trigger setup, set Who can trigger the flow? to Anyone. After saving the flow, a webhook URL will be generated — this URL will be used in n8n workflow. 1.4 Add Action: Parse JSON Set Content to: Body Use the following schema: { "type": "object", "properties": { "from": { "type": "string" }, "receivedAt": { "type": "string" }, "subject": { "type": "string" }, "message": { "type": "string" } } } 1.5 Add Action: Get an @mention token for a user Set the User field to the Microsoft Teams email address of the person to notify (e.g. yourname@domain.com). 1.6 Add Action: Post message in a chat or channel In this action, configure the following: Post as: Flow bot Post in: Chat with Flow bot Recipient: Your Microsoft Teams email address (e.g., yourname@domain.com) Paste the following code into the Message (in code view): Hello @{outputs('Get_an_@mention_token_for_a_user')?['body/atMention']}, You have received a new email at your email address @{body('Parse_JSON')?['recipientEmail']} that requires your attention: From: @{body('Parse_JSON')?['sender']} Received On: @{body('Parse_JSON')?['date']} Subject: @{body('Parse_JSON')?['subject']} Please review the message at your earliest convenience. Click here to search this mail in your mailbox 1.7 Save and Enable the Flow Click Save. Turn the flow On. The webhook URL is now active and available in the first trigger step, copy it to use in n8n. Need help with the setup? Feel free to contact us 2. Configure IMAP Email Trigger First, enable 2‑Step Verification in your Google Account and generate an App Password for n8n. Then, in the IMAP node → Create Credential to connect using the following details: • User: your Gmail address • Password: the App Password • Host: imap.gmail.com • Port: 993 • SSL/TLS: Enabled Follow the n8n documentation to complete the setup. 3. Configure OpenAI Integration Add your OpenAI API key as a credential in n8n. Follow the n8n documentation to complete the setup. 4. Set Up HTTP Request to Trigger Power Automate Workflow Paste generated Webhook URL from the Power Automate workflow into the URL field of the HTTP Request node. 5. Disable Execution Logging for Privacy To ensure that email content is not stored in logs and remains fully secure, you can disable execution logging in n8n: In the n8n Workflow Editor, click on the three dots (•••) in the top right corner and select Settings. In the settings panel: Set Save manual executions to: Do not save Set Save successful production executions to: Do not save Set Save failed production executions to: Do not save if you also want to avoid logging errors Save the changes. Refer to the official n8n documentation for more details: 6. Activate the Workflow Set the workflow status to Active in n8n so it runs automatically when a new mail is received in Gmail. Need Help? Contact us for support and custom workflow development.
by Baptiste Fort
What if your quote requests managed themselves? Every quote request is a potential deal — but only if it's handled quickly, properly, and without things falling through the cracks. What if instead of copy-pasting emails and pinging teammates manually, your entire process just... ran itself? This automation makes it happen: it captures form submissions, notifies your sales team on Slack, stores leads in Airtable, and sends an email confirmation to the client — all in one seamless n8n flow. ⚙️ Tools used Tally** – to collect client quote requests n8n** – to automate everything, no code needed Airtable** – to store leads and track status Slack** – to instantly notify your sales team Gmail** – to confirm the request with the client 🧩 Flow structure overview Trigger from a Tally form using a webhook Extract and format the data Create a new record in Airtable Send a message to Slack Wait 5 minutes Send an email confirmation via Gmail 📥 Step 1 – Webhook (Tally) This node listens for incoming quote requests from the Tally form. HTTP Method:** POST Path:** /Request a Quote Authentication:** None Respond:** Immediately The data arrives as an array inside body.data.fields. Each field has a label and a value that we’ll need to map manually. 🧹 Step 2 – Edit Fields (Set) This step extracts usable values from the raw form data. Example mapping: Name = {{ $json.body.data.fields[0].label }} Email Address = {{ $json.body.data.fields[1].value }} Type of Service Needed = {{ $json.body.data.fields[2].value }} Estimated Budget = {{ $json.body.data.fields[3].value }} Preferred Timeline = {{ $json.body.data.fields[4].value }} Additional Details or Questions = {{ $json.body.data.fields[5].value }} 📊 Step 3 – Create record in Airtable We send the cleaned fields into a database (CRM) in Airtable. Operation:** Create Base & Table:** Request a Quote - Airtable Base Mapping:** Manual field-to-column matching Each quote submission becomes a new record with all project details. 📣 Step 4 – Send a message to Slack This node notifies your sales team immediately in a Slack channel. Message format: :new: New quote request received! 👤 Name: {{ $json.fields.Name }} 📧 Email: {{ $json.fields.Email }} 💼 Service: {{ $json.fields["Type of Service"] }} 💰 Budget: {{ $json.fields["Estimated Budget (€)"] }} ⏱️ Timeline: {{ $json.fields["Preferred Timeline"] }} 📝 Notes: {{ $json.fields["Additional Details"] }} ⏳ Step 5 – Wait 5 minutes This node simply delays the email by 5 minutes. Why? To give a human salesperson time to reach out manually before the automated confirmation goes out. It adds a personal buffer. 📧 Step 6 – Send confirmation via Gmail To:** {{ \$('Edit Fields').item.json\["Email Address"] }} Subject:** Thanks for your quote request 🙌 Email Type:** HTML Message body: Hi {{ $('Edit Fields').item.json.Name }}, Thanks a lot for your quote request — we’ve received your information! Our team will get back to you within the next 24 hours to discuss your project. Talk soon, — The WebExperts Team ✅ Final result With this automation in place: The client feels acknowledged and taken seriously Your team gets notified in real time You store everything in a clean, structured database All this without writing a single line of backend code. It’s fast, scalable, and business-ready.
by Abdulaziz
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. 🧠 How It Works This workflow automates the process of screening resumes using AI, logging results to Google Sheets, and sending follow-up emails via Gmail. User uploads their resume via a form (PDF only). Resume content is extracted and sent to OpenAI for evaluation. AI scores the resume based on: Role-specific must-have qualifications Soft skills / strategic fit questions Based on the score threshold, the candidate is classified as: ✅ Accepted → Saved to Accepted sheet + Gmail invite ❌ Rejected → Logged to Rejected sheet + Gmail rejection message Output is stored in Google Sheets with detailed justification. ⚙️ Set Up Steps 🔑 Connect your OpenAI and Google Sheets credentials. Replace the placeholder tags in the AI prompt: COMPANY_NAME ROLE_NAME ROLE_DESCRIPTION CRITERIA_1 to CRITERIA_5 Q1 to Q5 THRESHOLD (score to pass) Customize Gmail messages (optional). ✅ Make sure your sheet has two tabs: Accepted and Rejected. 📌 Notes Sticky Notes included in the flow explain: What each node does Where to replace variables Tips for improving match scoring
by David Olusola
📌 Workflow Description This workflow allows users to generate AI images directly from Telegram while automatically logging each request to Google Sheets for tracking. When a user sends a prompt to your Telegram bot, the workflow receives the prompt, generates an image using OpenAI, saves the prompt and generated image link to Google Sheets, and then sends the image back to the user in Telegram. ⚙️ How to Set It Up Connect your Telegram credentials by adding your bot token in both the Telegram Trigger and Telegram Send Message nodes. Ensure your bot is added to the intended chat. Connect your OpenAI credentials by inserting your API key in the OpenAI node and configuring it for image generation. Connect your Google Sheets account by authorising the Google Sheets node and selecting the target spreadsheet and worksheet where you want to save prompts and image links. Finally, activate the workflow and test by sending a prompt to your Telegram bot to confirm that the image is generated, saved to Google Sheets, and sent back to Telegram seamlessly. That’s it – your AI Image Generator with Google Sheets logging is ready to use. ⸻ ✅ That’s it – your AI Image Generator with Google Sheets logging is ready for use.
by AlQaisi
Send multiple emails in Gmail directly via Google Sheets [Video for workflow process](https://www.canva.com/design/DAF8VnLBBQA/BKog1CSHs7_goAYse3mEzQ/watch?utm_content=DAF8VnLBBQA&utm_campaign=designshare&utm_medium=link&utm_source=editor ) In today's fast-paced digital world, businesses are constantly seeking ways to streamline their processes and enhance customer engagement. One powerful tool that facilitates these goals is n8n, an automation platform that allows users to create workflows to automate tasks and workflows. Benefits of the Workflow: Efficiency**: By automating the process of sending emails to customers based on data from Google Sheets, this n8n workflow significantly reduces manual effort and saves time. Accuracy**: The workflow ensures that emails are sent to the right recipients at the right time by filtering items based on specific conditions and the current date. Personalization**: Personalized emails can be sent to customers based on the information provided in the Google Sheet, resulting in enhanced customer engagement. Real-time Updates**: The workflow updates the Google Sheet with the status of the sent emails, providing real-time insights into the communication process. Consistency**: Through automation, this workflow helps maintain consistency in communication with customers, ensuring a seamless experience. Workflow Overview: The workflow begins with the "Google Sheets Trigger" node, which monitors a specified Google Sheet for new row additions. Upon detection of a new row, the workflow progresses to the "Filter Status (Waiting for sending)" node, where items are filtered based on specific conditions. Subsequently, the workflow moves to the "Filter Items by Current Date" node, which filters items based on the current date. Items matching the current date are then processed further. The filtered items are then forwarded to the "Gmail" node, where personalized emails are composed and sent to recipients based on the Google Sheet data. Finally, the workflow updates the Google Sheet using the "Google Sheets" node with the status of the sent emails and other relevant information. Copy this template to get started : Google Sheets Workflow Nodes Documentation: Schedule Trigger Filter Items by Current Date Gmail Google Sheets Filter Status (Waiting for sending) Set data Merge feild Conclusion: In conclusion, this n8n workflow presents a powerful solution for automating email communication processes based on Google Sheets data. By leveraging automation, businesses can enhance their operational efficiency, accuracy, and customer engagement. The seamless integration of nodes in this workflow streamlines the communication process and ensures timely and personalized interactions with customers. As businesses continue to prioritize efficiency and customer satisfaction, n8n workflows offer a versatile and effective means to achieve these objectives.
by jason
This workflow was originally presented at the February 2022 n8n Meetup. Requirements In order to use this workflow, you will need the following in place: A configured Baserow account A group in Baserow called User Empowerment Demo A database in the User Empowerment Demo called Office Shopping List Inside the Office Shopping List database, you will need two tables: Shopping List: Column 1 - Single line text column named Item Shopper: Column 1 - Single line text column named Name Column 2 - Email column named Email An email account for sending out alerts Customization To make this workflow work for you, please customize the following items: All Baserow nodes will need to be updated with your own credentials, database, tables and fields The Send Shopping List node will need to be configured with your email credentials and email addresses The Create Shopper Form Set node will need to have the code in the HTML value modified to reflect your Production URL from the Submit Shopper node (See instructions below) The Cron node will need to be modified to reflect the timing that you wish to use Modifying the Webform The webform is the piece that people normally want to customize but is often the most complex because it is raw HTML. Here are some quick tips for making changes to the form. Webform Nodes There are two nodes that control what you see in the form: Create Shopper Form - displays the form and submits it to the correct webhook Create Response Page - displays the results when the form is submitted Editing the Webform The easiest way that I have found to edit the webform is to: Open up the Set node (Create Shopper Form or Create Response Page) that contains the HTML you wish to edit. Copy the contents of the HTML value to your favourite HTML editor Make your changes Paste the updated HTML back into the Set node Changing the Webhook URL the Webform Posts To In order for the webform to work properly, do the following: Determine the Production URL for the Submit Shopper webhook node In the Create Shopper Form node, look for the following line in the HTML value: form action="https://tephlon.app.n8n.cloud/webhook/submit-shopper" method="POST" Replace https://tephlon.app.n8n.cloud/webhook/submit-shopper with your Production URL Changing the Webform Image The image that is in the webform is actually embedded in the HTML in each of the Create Shopper Form or Create Response Page Set nodes and can be modified from there using these steps: Open up the appropriate Set node In the HTML value, find the line that starts with background-image:. It will be followed by a long string that looks like random characters Using a tool like Image to Base64 Converter, upload your image and generate a new CSS background source Replace the original background-image: line (including all the "random" characters) with the new generated CSS background source
by The O Suite
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. How It works: When the user clicks "Execute Workflow" they are prompted for a URL, from there the Puppeteer node extracts JavaScript links from the provided URL. The links are then filtered down to ones that are relevant to the original URL that was quieried. From there an AI Agent searches the provided JavaScript links for API Keys, email addresses, and PII leaks. Finally a report is generated and sent via gmail to a desired destination. The report contains discovered links as well as any sensitive information that may have been found. Why It's Useful: This is a great tool for Cybersecurity testing. For Developers, make sure your scripts are clean and you didn't leave anything behind. For Ethical Hackers, this is a great tool for Bug Bounties by discovering sensitive information hidden in JavaScript.
by Yaron Been
This workflow provides automated access to the Black Forest Labs Flux Dev AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for image generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete image generation process using the Black Forest Labs Flux Dev model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Advanced AI model by black-forest-labs for automated processing tasks. Key Capabilities High-quality image generation from text prompts** Advanced AI-powered visual content creation** Customizable image parameters and styles** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Black Forest Labs/flux-dev AI model Black Forest Labs Flux Dev**: The core AI model for image generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Image Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Content Creation**: Generate unique images for blogs, social media, and marketing materials Design Prototyping**: Create visual concepts and mockups for design projects Art & Creativity**: Produce artistic images for personal or commercial use Marketing Materials**: Generate eye-catching visuals for campaigns and advertisements Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #imagegeneration #aiart #texttoimage #visualcontent #aiimages #generativeart #flux #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation