Workflow Templates

2 nodes1 views

Generate AI Responses with Perplexity Sonar Models (Reusable Module)

by Aleksey Panov

Perplexity API Module This reusable workflow allows you to interact with the Perplexity API using the sonar or sonar-pro models. It is designed to be triggered from other workflows and accepts dynamic prompts via input parameters. Features 🧱 Modular: Triggered using Execute Workflow from any other workflow 📥 Inputs: SystemPrompt: Set your system-level instruction for the LLM UserPrompt: The main user prompt for the conversation 🧠 Uses Perplexity’s chat/completions endpoint 🔐 Built with API authentication in mind (Bearer token or header auth) 🔁 Easily extendable for any model in the Perplexity suite Models supported sonar sonar-pro See full model list and capabilities Usage Set up your credentials in n8n under HTTP Bearer or Header Auth. Add this workflow as a subworkflow using the “Execute Workflow” node. Pass the desired SystemPrompt and UserPrompt as input variables. Receive the model response in return. Notes This template is inactive by default and safe to import. Includes sticky notes with API references and model info.

Create Salesforce accounts based on Google Sheets data

by Tom

This workflow shows a no code approach to creating Salesforce accounts and contacts based on data coming from Google Sheets. To run the workflow: Make sure you have both Google Sheets and Salesforce authenticated with n8n. Have a Google Sheet with contacts and their account names ready, copy the respective sheet ID from the URL: Add the sheet ID to the Google Sheet node of the workflow: Hit Execute Workflow Here is how it works: The workflow first searches for existing Salesforce accounts by name. It then branches out depending on whether the account already exists in Salesforce or not. If an account does not exist yet, it will be created. The data is then normalised before both branches converge again. Finally the contacts are created or updated as needed in Salesforce.

create e-mail responses with fastmail and OpenAI

by Vitali

Workflow Description: This n8n workflow automates the drafting of email replies for Fastmail using OpenAI's GPT-4 model. Here’s the overall process: Email Monitoring: The workflow continuously monitors a specified IMAP inbox for new, unread emails. Email Data Extraction: When a new email is detected, it extracts relevant details such as the sender, subject, email body, and metadata. AI Response Generation: The extracted email content is sent to OpenAI's GPT-4, which generates a personalized draft response. Get Fastmail Session and Mailbox IDs: Connects to the Fastmail API to retrieve necessary session details and mailbox IDs. Draft Identification: Identifies the "Drafts" folder in the mailbox. Draft Preparation: Compiles all the necessary information to create the draft, including the generated response, original email details, and specified recipient. Draft Uploading: Uploads the prepared draft email to the "Drafts" folder in the Fastmail mailbox. Prerequisites: IMAP Email Account: You need to configure an IMAP email account in n8n to monitor incoming emails. Fastmail API Credentials: A Fastmail account with JMAP API enabled. You should set up HTTP Header authentication in n8n with your Fastmail API credentials. OpenAI API Key: An API key from OpenAI to access GPT-4. Make sure to configure the OpenAI credentials in n8n. Configuration Steps: Email Trigger (IMAP) Node: Provide your email server settings and credentials to monitor emails. HTTP Request Nodes for Fastmail: Set up HTTP Header authentication in n8n using your Fastmail API credentials. Replace the httpHeaderAuth credential IDs with your configured credential IDs. OpenAI Node: Configure the OpenAI API key in n8n. Replace the openAiApi credential ID with your configured credential ID. By following these steps and setting up the necessary credentials, you can seamlessly automate the creation of email drafts in response to new emails using AI-generated content. This workflow helps improve productivity and ensures timely, personalized communication.

🤖AI & Machine Learning

2 nodes3042 views

Slack Webhook - Verify Signature

by Henri

Description This template will help you verify that incoming calls from a Slack webhook actually come from Slack and not some unknown third-party services. It is mainly used to prevent attacks from malicious bots or individuals. This is a Sub-Workflow, so it should be used inside the main workflow that contains the webhook listening for Slack requests. How to Use What to Edit You should set the Slack Signing Secret that you can find on your Slack App dashboard in the general tab. It should be located under the following URL: https://api.slack.com/apps/[SLACK_APP_ID]/general Input The input should be the received Slack request. This workflow should then be placed directly after the Slack Webhook. Outputs Success Output If the signature was verified successfully, we return a key verified_signature set to true along with data from the Slack request itself. Error Output When the signature could not be verified, we raise an error. You can handle this case in your main workflow by using an Error Workflow or by changing your node settings and choosing some actions in case of an error. Changelog Version 1.0.1 (2023-12-11) Changed replace by replaceAll in JS code in case of several arguments. Added some custom replacements that encodeURIComponent does not take into account

N8N Backup Flow to Nextcloud (7-Day Retention)

by Joachim Hummel

This workflow automates the daily backup of all your n8n workflows to a designated folder in Nextcloud. It ensures that you always have the last 7 days of backups available while automatically deleting older ones to save space. 🔧 Features Scheduled Trigger: Runs automatically once per day (can be executed manually as well). Directory Management: Creates the /N8N-Backup directory in Nextcloud if it doesn't already exist. Backup Collection: Retrieves all workflows from the n8n instance. JSON Conversion: Converts each workflow into a JSON file. Upload to Nextcloud: Saves each backup file into the specified backup directory. Retention Control: Keeps only the latest 7 backups and deletes the rest from Nextcloud. 📌 Notes Make sure to manually create the /N8N-Backup directory in your Nextcloud account before using this flow. Update the Backup Path node if you wish to change the upload directory. Ideal for teams using n8n with self-hosted instances and requiring offsite backup via Nextcloud. 🔒 Requirements n8n instance with access to the Nextcloud node. Valid credentials for your Nextcloud account with API access. Update: 08/11/2025 “Backup Flows to Nextcloud” – Import format fixed Summary: The workflow now exports one clean JSON object per workflow (no arrays, no backup/meta fields), so files can be imported 1:1 via the n8n UI. What changed: Switched from “Convert to File” to a Set node that builds the JSON in binary data. Enabled filters.include = "all" on Get many workflows to include nodes, connections, settings, pinData, and tags. Sanitized filenames and removed IDs/metadata that can break UI imports. Fixed Nextcloud path and binary property mapping (data). Verification: Generated multiple backups and imported each via UI (“Import from file”) without errors. Each file begins with { (single object) and loads with full workflow structure. Notes: Keep “Binary Property” set to data in the Nextcloud node. Filenames are sanitized to avoid special-character issues.

Generate random mock data with no code and zero dependencies

by Eduard

💬Communication & Collaboration

🎲 Random Data Generator 🎲 This beginner-friendly workflow allows you to generate random mock data effortlessly, without any programming or external dependencies. 🚀 Here's how it works: 📝 Provide some default values for the random generator using the "Code" node. Don't worry, no coding is needed, it's just a simple JSON! You can even use the "Ask AI" in the cloud version of n8n to generate mock values for you. These values are permanently stored in the workflow ensuring swift and reliable execution. 🔀 The "Firstname," "Lastname," and "Occupation" nodes extract invividual variables. Two Merge nodes create a combination of all possible values. Adapt this section based on your needs. 🎲 The "Random" node shuffles the generated data. 🔢 Use the "Limit" node to control the number of output items. ✨ Perform additional post-processing, such as deriving email addresses based on the user's name and surname. And there you have it! With just a few clicks, you'll have a set of realistic mock data ready to test your workflows. 🎉 Want to learn more? Check out the full tutorial on YouTube! 📺 Happy data generating! 😄

1 nodes305 views

Automatically create daily list of todos in Todoist

by Mutasem

Use case Automatically create todo items in Todoist every morning. This workflow has two flows At 5am, delete any uncompleted tasks every morning At 5:10 am, copy all template tasks into Inbox In each template task, set the due dates and days to add the task. You can do that like this days:mon,tues; due:8pm which will add the task every Monday and Tuesday and make it due at 8pm. How to setup Add Todoist creds Create a template list to copy from in Todoist. Add days and due times on each task as necessary. Set the projects to copy from and to write to in each Todoist node

🤖AI & Machine Learning

2 nodes2037 views

Reliable AI Agent Output Without Structured Output Parser - w/ OpenAI & Switch

by Dataki

This workflow serves as a solid foundation when you need an AI Agent to return output in a specific JSON schema, without relying on the often-unreliable Structured Output Parser. What It Does The example workflow takes a simple input (like a food item) and expects a JSON-formatted output containing its nutritional values. Why Use This Instead of Structured Output Parser? The built-in Structured Output Parser node is known to be unreliable when working with AI Agents. While the n8n documentation recommends using a “Basic LLM Chain” followed by a Structured Output Parser, this alternative workflow completely avoids using the Structured Output Parser node. Instead, it implements a custom loop that manually validates the AI Agent's output. This method has proven especially reliable with OpenAI's gpt-4.1 series (gpt-4.1, gpt-4.1-mini, gpt-4.1-nano), which tend to produce correctly structured JSON on the first try, as long as the System Prompt is well defined. In this template, gpt-4.1-nano is set by default. How It Works Instead of using the Structured Output Parser, this workflow loops the AI Agent through a manual schema validation process: A custom schema check is performed after the AI Agent response. A runIndex counter tracks the number of retries. A Switch node: If the output does not match the expected schema, it routes back to the AI Agent with an updated prompt asking it to return the correct format. The process allows up to 4 retries to avoid infinite loops. If the output does match the schema, it continues to a Set node that serves as chat response (you can customize this part to fit your use case). This approach ensures schema consistency, offers flexibility, and avoids the brittleness of the default parser.

🤖AI & Machine Learning

3 nodes514 views

Scrape Trustpilot Reviews to Google Sheets + HelpfulCrowd compatible csv

by bangank36

This workflow scrapes Trustpilot reviews for a given profile and saves them into Google Sheets. How It Works Clone this Google Sheets template, which includes two sheets: trustpilot A raw collection of Trustpilot reviews. You can customize it as needed. helpfulcrowd This sheet follows the format from this HelpfulCrowd guide, with a slight modification: an added review_id column to support the upsert process. Once the workflow is complete, export the sheet as a CSV and upload it to HelpfulCrowd. For detailed steps, see this post. Running the Workflow You can trigger the workflow on-demand or schedule it to run at a set interval. Requirements Trustpilot business name** (e.g., n8n.io in https://www.trustpilot.com/review/n8n.io). Update this name and pagination settings in the Global node. Google Sheets API credentials** Check out my other templates: 👉 My n8n Templates

Create Images from Text Prompts using Flash V2.0.1 Beta 10 and Replicate

by Yaron Been

This workflow provides automated access to the Settyan Flash V2.0.1 Beta.10 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 V2.0.1 Beta.10 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-v2.0.1-beta.10 AI model Settyan Flash V2.0.1 Beta.10**: 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

Create new wordpress posts with a featured Image with Airtable

by Zacharia Kimotho