Workflow Templates

Programatically Pull Square Report Data Into N8N What It Does This sub-workflow connects to the Square API and generates a daily sales summary report for all of your Square locations. The report matches the figures displayed in the Square Dashboard > Reports > Sales Summary. It’s designed to be reused in other workflows, ideal for reporting, data storage, accounting, or automation. Prerequisites To use this workflow, you'll need: Square API credentials (configured as a Header Auth credential) How to Set Up Square Credentials: Go to Credentials > Create New Choose Header Auth Set the Name to "Authorization" Set the Value to your Square Access Token (e.g., Bearer <your-api-key>) How It Works Trigger: The workflow is triggered as a sub-workflow, requiring a report_date input. Fetch Locations: An HTTP request gets all Square locations linked to your account. Fetch Orders: For each location, an HTTP request pulls completed orders for the specified report_date. Filter Empty Locations: Locations with no sales are ignored. Aggregate Sales Data: A Code node processes the order data and produces a summary identical to Square’s built-in Sales Summary report. Output: A cleaned, consistent summary that can be consumed by parent workflows or other nodes. Example Use Cases Automatically store daily sales data in Google Sheets, MySQL, or PostgreSQL for analysis and historical tracking Automatically send daily email or Slack reports to managers or finance teams Build weekly/monthly reports by looping over multiple dates Push sales data into accounting software like QuickBooks or Xero for automated bookkeeping Calculate commissions or rent payments based on sales volume How to Use Configure both HTTP Request nodes to use your Square API credential. If you are not in the Toronto/New York Timezone, please change the "start_at" and "end_at" parameters in the second HTTP node from "-05:00" to your local timezone Use as a sub-workflow inside a main workflow. Pass a report_date (formatted as YYYY-MM-DD) to the sub-workflow when you call it. Customization Options Add pagination to handle locations with more than 1,000 orders per day. Expand the workflow to save or send the report output via additional integrations (email, database, webhook, etc.). Why It's Useful This workflow saves time, reduces manual report pulling from Square, and enables smarter automation around sales data—whether for operations, finance, or performance monitoring.

How It Works ⚙️ This workflow acts as a communication bridge for your candidate pipeline: Webhook Trigger (Status Update): 🚀 The workflow activates when it receives data indicating a candidate's status has changed. This data could come from an internal form, a custom script, or a webhook from a basic Applicant Tracking System (ATS). Extract & Prepare Data (Function): 🧹 This node processes the incoming data. It extracts key information such as the candidate's name, the position they applied for, their previous status (if available), and their new status. It then formats this information into a clear, concise message suitable for a notification. Send Slack Notification: 📢 The prepared message is sent to a designated Slack channel (e.g., #recruitment-updates). This provides instant, real-time updates to your team, ensuring everyone is on the same page. (Alternative: Send Email Notification): This node can easily be swapped with a Gmail or SendGrid node to send email notifications to a predefined list of recipients instead of Slack. How to Set Up 🛠️ Follow these steps carefully to get your "Automated Candidate Status Notifier" workflow up and running: Import Workflow JSON: Open your n8n instance. Click on 'Workflows' in the left sidebar. Click the '+' button or 'New' to create a new workflow. Click the '...' (More Options) icon in the top right. Select 'Import from JSON' and paste the entire JSON code for this workflow. Configure Webhook Trigger (Status Update): Locate the 'Webhook Trigger (Status Update)' node (1. Webhook Trigger). Activate the workflow. n8n will provide a unique 'Webhook URL'. Crucial Step: Configure your data-sending system (e.g., a form submission, an ATS's webhook settings, or your custom script) to send candidate status update data (preferably in JSON format via POST request) to this n8n Webhook URL. Configure Extract & Prepare Data (Function): Locate the 'Extract & Prepare Data' node (2. Extract & Prepare Data). Adjust Field Names: Review the functionCode inside this node. You MUST adjust the variable assignments (e.g., inputData.candidateName, inputData.position) to accurately match the exact field names your sending system uses for candidate name, position, new status, old status, and notes. Use the 'Test Workflow' feature after sending a test webhook to inspect the incoming items[0].json.body data structure. The node automatically formats messages for Slack and Email. Configure Send Slack Notification: Locate the 'Send Slack Notification' node (3. Send Slack Notification). Credentials: Select your existing Slack API credential or click 'Create New' to set one up. Replace YOUR_SLACK_CREDENTIAL_ID with the actual ID or name of your credential from your n8n credentials. Channel: Replace YOUR_SLACK_CHANNEL_ID_OR_NAME with the exact ID or name of the Slack channel where you want to receive notifications (e.g., #recruitment-updates). OPTIONAL: Switch to Email Notification (Gmail/SendGrid/etc.): Delete the 'Send Slack Notification' node. Add a new 'Gmail' or 'SendGrid' (or your preferred email service) node. Configure its credentials. Set the 'To Email' field (e.g., your-team-email@example.com). Set the 'Subject' to ={{ $json.emailSubject }}. Set the 'HTML' body to ={{ $json.emailBody }}. Connect it from the 'Extract & Prepare Data' node. Review and Activate: Thoroughly review all node configurations. Ensure all placeholder values (like YOUR_...) are replaced and settings are correct. Click the 'Save' button in the top right corner. Finally, toggle the 'Inactive' switch to 'Active' to enable your workflow. 🟢 Your automated candidate status notifier is now live, keeping your team updated in real-time!

This workflow provides automated access to the Joblas Ryan Lora 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 other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Joblas Ryan Lora 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: Just Ryan Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Joblas/ryan-lora AI model Joblas Ryan Lora**: The core AI model for other 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 Other Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Specialized Processing**: Handle specific AI tasks and workflows Custom Automation**: Implement unique business logic and processing Data Processing**: Transform and analyze various types of data AI Integration**: Add AI capabilities to existing systems and workflows 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 #aiprocessing #dataprocessing #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation

This workflow listens for incoming WhatsApp messages that contain media (e.g., images) and automatically downloads the media file using WhatsApp's private media URL. The trigger node activates when a WhatsApp message with media is received. The media ID is extracted from the message payload. A private media URL is retrieved using the media ID. The media file is downloaded using an authenticated HTTP request. Ideal for: Archiving WhatsApp media to external systems. Triggering further automations based on received media. Integrating with cloud storage like Google Drive, Dropbox, or Amazon S3. Set up steps Connect your WhatsApp Business API account. Add HTTP credentials for downloading media via private URL. Set up the webhook in your WhatsApp Business account. Extend the workflow as needed for your use case (e.g., file storage, alerts).

Description This workflow automatically searches multiple freelance platforms for new gigs matching your skills and requirements. It saves you time by eliminating the need to manually check multiple job boards and sends you alerts for relevant opportunities. Overview This workflow automatically scrapes freelance job boards and platforms for new gigs matching your skills and requirements. It uses Bright Data to access job listings and can notify you of new opportunities or save them to a database. Tools Used n8n:** The automation platform that orchestrates the workflow. Bright Data:** For scraping freelance platforms like Upwork, Fiverr, Freelancer, etc. without getting blocked. (Optional) Email/Slack/Database:** For notifications or data storage. How to Install Import the Workflow: Download the .json file and import it into your n8n instance. Configure Bright Data: Add your Bright Data credentials to the Bright Data node. Set Up Notifications: Configure how you want to receive job alerts. Customize: Add your skills, rate requirements, and other filters. Use Cases Freelancers:** Get notified of new gigs matching your skills. Agencies:** Monitor job boards for potential client opportunities. Remote Workers:** Track new remote job postings across multiple platforms. Connect with Me Website:** https://www.nofluff.online YouTube:** https://www.youtube.com/@YaronBeen/videos LinkedIn:** https://www.linkedin.com/in/yaronbeen/ Get Bright Data:** https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission) #n8n #automation #freelance #brightdata #webscraping #remotework #freelancejobs #gigeconomy #upwork #fiverr #freelancer #jobsearch #remotejobs #freelanceopportunities #n8nworkflow #workflow #nocode #jobhunting #freelancegigs #jobscraper #jobnotifications #freelancecareer #digitalnomad #workfromhome #jobopportunities #freelancetools #jobmonitoring #freelancesuccess

🔎 Who is this for? This workflow is designed for podcast creators, content marketers, and video producers who want to convert YouTube videos into podcast-ready scripts. It's perfect for anyone repurposing long-form content to reach audio-first audiences without manual effort. 🧠 What problem is this workflow solving? Creating podcast scripts from YouTube videos manually is time-consuming. This workflow automates the process by pulling transcripts, cleaning the text, organizing the dialogue, summarizing the key points, and saving everything in one place. It removes the need for manual transcription, formatting, and structuring. ⚙️ What this workflow does This workflow uses Dumpling AI and GPT-4o to automate the transformation of YouTube video transcripts into polished podcast scripts. Here's how it works: RSS Feed Trigger Monitors a YouTube RSS feed for new video uploads. When a new video is detected, the workflow begins automatically. Get YouTube Transcript (Dumpling AI) Uses Dumpling AI's get-youtube-transcript endpoint to extract the full transcript from the video URL. Generate Podcast Script with GPT-4o GPT-4o receives the transcript and generates a structured JSON output including: Cleaned transcript with filler words removed Speaker labels for clarity A short, engaging podcast title A concise summary of the episode Save to Airtable The structured data (title, summary, cleaned transcript) is saved to Airtable for easy review, editing, or publishing. This automation is an ideal workflow for repurposing video content into audio-friendly formats, cutting down production time while increasing content output across platforms.

This workflow provides automated access to the Izzaanel Betia 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 other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Izzaanel Betia 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 for automated processing and generation tasks. Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Izzaanel/betia AI model Izzaanel Betia**: The core AI model for other 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 Other Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Specialized Processing**: Handle specific AI tasks and workflows Custom Automation**: Implement unique business logic and processing Data Processing**: Transform and analyze various types of data AI Integration**: Add AI capabilities to existing systems and workflows 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 #aiprocessing #dataprocessing #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation

This workflow turns news monitoring into an early-warning demand engine. It continuously ingests Google Alert RSS feeds, extracts the full text of every article, and runs real-time purchase-intent modeling to predict which stories will sway your buyers—positively or negatively. The moment a spike in intent is detected, it triggers an early warning email so you can run with the right playbooks: amplify favorable narratives to accelerate deal cycles, or counter harmful ones before they dent your pipeline. Ideal for revenue teams that want to harness media signals instead of reacting to them after the fact. 📝 Step-by-Step Instructions RSS Triggers - RSS trigger checks for news every [enter time] Extract content- using the RSS link, run a HTTP request. Structure Output - Parse out article content and format simulation query Rally Simulation Testing - AI personas get content as memory, and are asked (in voting mode) to answer how it impacts interest in spending money on [synthetic research] (swap for your category) Extract Individual Votes - Splits Rally's response array to process each persona's individual voting decision for detailed analysis Calculate Responses - Custom code processes all votes, counts selections for each variation, calculates percentages Alert trigger- Depending on count thresholds, triggers emails.

This workflow provides automated access to the Jhonp4 Jhonpiedrahita_Ai01 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 other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Jhonp4 Jhonpiedrahita_Ai01 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 for automated processing and generation tasks. Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Jhonp4/jhonpiedrahita_ai01 AI model Jhonp4 Jhonpiedrahita_Ai01**: The core AI model for other 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 Other Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Specialized Processing**: Handle specific AI tasks and workflows Custom Automation**: Implement unique business logic and processing Data Processing**: Transform and analyze various types of data AI Integration**: Add AI capabilities to existing systems and workflows 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 #aiprocessing #dataprocessing #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation

This workflow analyzes the sentiments of the feedback provided by users and sends them to a Mattermost channel. Typeform Trigger node: Whenever a user submits a response to the Typeform, the Typeform Trigger node will trigger the workflow. The node returns the response that the user has submitted in the form. Google Cloud Natural Language node: This node analyses the sentiment of the response the user has provided and gives a score. IF node: The IF node uses the score provided by the Google Cloud Natural Language node and checks if the score is negative (smaller than 0). If the score is negative we get the result as True, otherwise False. Mattermost node: If the score is negative, the IF node returns true and the true branch of the IF node is executed. We connect the Mattermost node with the true branch of the IF node. Whenever the score of the sentiment analysis is negative, the node gets executed and a message is posted on a channel in Mattermost. NoOp: This node here is optional, as the absence of this node won't make a difference to the functioning of the workflow. This workflow can be used by Product Managers to analyze the feedback of the product. The workflow can also be used by HR to analyze employee feedback. You can even use this node for sentiment analysis of Tweets. To perform a sentiment analysis of Tweets, replace the Typeform Trigger node with the Twitter node. Note:* You will need a Trigger node or Start node to start the workflow. Instead of posting a message on Mattermost, you can save the results in a database or a Google Sheet, or Airtable. Replace the Mattermost node with (or add after the Mattermost node) the node of your choice to add the result to your database. You can learn to build this workflow on the documentation page of the Google Cloud Natural Language node.

Overview This template describes a possible approach to handle a pseudo-callback/trigger from an independent, external process (initiated from a workflow) and combine the received input with the workflow execution that is already in progress. This requires the external system to pass through some context information (resumeUrl), but allows the "primary" workflow execution to continue with BOTH its own (previous-node) context, AND the input received in the "secondary" trigger/process. Primary Workflow Trigger/Execution The workflow path from the primary trigger initiates some external, independent process and provides "context" which includes the value of $execution.resumeUrl. This execution then reaches a Wait node configured with Resume - On Webhook Call and stops until a call to resumeUrl is received. External, Independent Process The external, independent process could be anything like a Telegram conversation, or a web-service as long as: it results in a single execution of the Secondary Workflow Trigger, and it can pass through the value of resumeUrl associated with the Primary Workflow Execution Secondary Workflow Trigger/Execution The secondary workflow execution can start with any kind of trigger as long as part of the input can include the resumeUrl. To combine / rejoin the primary workflow execution, this execution passes along whatever it receives from its trigger input to the resume-webhook endpoint on the Wait node. Notes IMPORTANT: The workflow ids in the Set nodes marked **Update Me have embedded references to the workflow IDs in the original system. They will need to be CHANGED to make this demo work. Note: The Resume Other Workflow Execution node in the template uses the $env.WEBHOOK_URL configuration to convert to an internal "localhost" call in a Docker environment. This can be done differently. ALERT:** This pattern is NOT suitable for a workflow that handles multiple items because the first workflow execution will only be waiting for one callback. The second workflow (not the second trigger in the first workflow) is just to demonstrate how the Independent, External Process needs to work.

This workflow provides automated access to the Settyan Flash V2.0.0 Beta.4 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 other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Settyan Flash V2.0.0 Beta.4 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 for automated processing and generation tasks. Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Settyan/flash-v2.0.0-beta.4 AI model Settyan Flash V2.0.0 Beta.4**: The core AI model for other 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 Other Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Specialized Processing**: Handle specific AI tasks and workflows Custom Automation**: Implement unique business logic and processing Data Processing**: Transform and analyze various types of data AI Integration**: Add AI capabilities to existing systems and workflows 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 #aiprocessing #dataprocessing #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation