Workflow Templates

How it works Schedule Trigger — runs daily at 10:00 (adjustable). RSS Feed Read — collects fresh AI/LLM news from multiple feeds. AI Agent — analyzes news, picks the most viral story, and drafts a 30-second script. OpenAI nodes — create: a short, catchy video title a short caption for social media a long caption with hashtags HeyGen API — generates a vertical avatar video (9:16) using your selected avatar_id, voice_id, and optional background video. Wait node — checks the processing status of the video. Blotato API — uploads the video and captions for publishing. Optional publish nodes — preconfigured for TikTok, Instagram, YouTube, Facebook, etc. (disabled by default). Requirements n8n v1.105.4+ (cloud or self-hosted) HeyGen account with API key + avatar_id + voice_id Blotato account with API key and platform IDs Setup steps Import the workflow into n8n. Create credentials in n8n (⚠ do not hardcode keys): HeyGen API Key Blotato API Key Open the Setup Heygen node: Paste your heygen_api_key Add your avatar_id and voice_id Optionally change background_video_url Open the Prepare for Publish node: Paste your blotato_api_key Add IDs for TikTok, YouTube, Instagram, etc. Adjust the Schedule Trigger to your preferred time/frequency. (Optional) Enable the publish nodes if you want direct uploads to your platforms. Customization Topic — edit the AI Agent’s prompt to switch from AI/LLM news to any topic (crypto, marketing, tech, etc.). Language — update prompts for different output languages. Visuals — replace the HeyGen avatar, voice, or background video for a different look. Publishing — connect only the social platforms you actually use.

4 nodes2 views

Bulk Emails with personalized attachment

by Bhavabhuthi

A workflow to send personalized emails with respective attachment. The workflow needs a pre-formatted CSV with file names and email IDs.

1 nodes4202 views

Auto-Collect WooCommerce Orders to Discord & Google Sheets

by Khairul Muhtadin

This n8n workflow automates WooCommerce order processing by capturing order updates via webhook and converting them into Discord notifications and Google Sheets entries. What This Workflow Does Automatically captures WooCommerce orders and sends real-time Discord notifications while logging paid orders to Google Sheets for tracking and reporting. Key Benefits Save 90% Time**: Eliminates manual order logging and monitoring Never Miss Orders**: Instant Discord alerts for all order activities 80% Faster Response**: Team gets structured order info immediately Dual Tracking**: Real-time alerts + permanent spreadsheet records Perfect For Ecommerce Teams**: Monitor orders without constantly checking admin panel Small Business Owners**: Professional order tracking without extra staff Fulfillment Teams**: Get organized order data for quick processing How It Works WooCommerce sends order webhook to n8n Order data is parsed and formatted beautifully All orders trigger Discord notifications (color-coded by status) Paid orders (PROCESSING status) are logged to Google Sheets Webhook confirms successful receipt to WooCommerce Features Smart Status Colors**: Yellow (pending), Blue (processing), Green (completed), Gray (cancelled) Rich Discord Embeds**: Customer info, items, shipping, totals - all formatted nicely Flexible Data Parsing**: Handles various WooCommerce webhook structures Indonesian Currency**: Proper IDR formatting for local businesses Product Thumbnails**: Shows product images in Discord notifications Setup Requirements n8n instance (self-hosted or cloud) Discord server with bot access Google account for Sheets WooCommerce admin access Quick Setup Import workflow JSON to n8n Add Discord bot token Connect Google Sheets OAuth Set WooCommerce webhook to n8n endpoint Create Google Sheet with required columns Test with a sample order Customization Options Change Discord embed colors for your brand Modify which order statuses get logged Add custom fields to Google Sheets Adjust currency and language settings Filter orders by specific conditions Google Sheets Columns Month (order date) Brand Name Web Order Number Expedition (shipping method) Tracking Number Status Future Enhancement Ideas Add SMS/WhatsApp customer notifications Connect to shipping label services Integrate with CRM for customer insights Add inventory management triggers Create sales analytics dashboard Support Created by Khmuhtadin Need customization? Contact us!

⚙️Business Automation

3 nodes

Generate Event Speaker Recommendations with Claude AI and Google Sheets

by Oneclick AI Squad

Simplify event planning with this automated n8n workflow. Triggered by incoming requests, it fetches speaker and audience data from Google Sheets, analyzes profiles and preferences, and generates optimized session recommendations. The workflow delivers formatted voice responses and updates tracking data, ensuring organizers receive real-time, tailored suggestions. 🎙️📊 Key Features Real-time analysis of speaker and audience data for personalized recommendations. Generates optimized session lineups based on profiles and preferences. Delivers responses via voice agent for a seamless experience. Logs maintain a detailed recommendation history in Google Sheets. Workflow Process The Webhook Trigger node initiates the workflow upon receiving voice agent or external system requests. Parse Voice Request** processes incoming voice data into actionable parameters. Fetch Database** retrieves speaker ratings, past sessions, and audience ratings from Google Sheets. Calculate & Analyze** combines voice request data with speaker profiles and audience insights for comprehensive matching. AI Optimization Engine** analyzes speaker-audience fit and recommends optimal session lineups. Format Recommendations** structures the recommendations for voice agent response. Voice Agent Response** returns formatted recommendations to the user with natural language summary and structured data. Update Tracking Sheet** saves recommendation history and analytics to Google Sheets. If errors occur, the Check for Errors node branches to: Format Error Response prepares an error message. Send Error Response delivers the error notification. Setup Instructions Import the workflow into n8n and configure Google Sheets OAuth2 for data access. Set up the Webhook Trigger with your voice agent or external system's API credentials. Configure the AI Optimization Engine node with a suitable language model (e.g., Anthropic Chat Model). Test the workflow by sending sample voice requests and verifying recommendations. Adjust analysis parameters as needed for specific event requirements. Prerequisites Google Sheets OAuth2 credentials Voice agent API or integration service AI/LLM service for optimization (e.g., Anthropic) Structured speaker and audience data in a Google Sheet Google Sheet Structure: Create a sheet with columns: Speaker Name Rating Past Sessions Audience Rating Preferences Updated At Modification Options Customize the Calculate & Analyze node to include additional matching criteria (e.g., topic expertise). Adjust the AI Optimization Engine to prioritize specific session formats or durations. Modify voice response templates in the Voice Agent Response node with branded phrasing. Integrate with event management tools (e.g., Eventbrite) for live data feeds. Set custom error handling rules in the Check for Errors node. Discover more workflows – Get in touch with us

Audit Interview Feedback & Report via Slack with GPT-4o-mini and Google Sheets

by Rahul Joshi

Description This workflow automates the evaluation of interviewer feedback using AI. It retrieves raw notes from Google Sheets, processes them through GPT-4o-mini for structured scoring, validates outputs, and calculates weighted quality scores. The system provides real-time Slack feedback to interviewers, logs AI errors for transparency, and recommends training if the feedback quality is low. What This Template Does (Step-by-Step) ⚡ Manual Trigger – Runs the workflow manually to start evaluation. 📋 Fetch Raw Feedback Data (Google Sheets) – Reads all feedback entries (Role, Stage, Interviewer Email, Feedback Text, row_number). 🧠 AI Quality Evaluator (Azure GPT-4o-mini) – Processes feedback into structured JSON across 5 dimensions. 🔍 Analyze Feedback Quality (LLM Chain) – Applies scoring rules (Specificity, STAR, Bias-Free, Actionability, Depth) and outputs structured JSON. ✅ Validate AI Response – Ensures AI output isn’t undefined or malformed. 🚨 Log AI Errors (Google Sheets) – Records invalid AI responses for debugging and auditing. 🔄 Parse AI JSON Output (Code Node) – Converts AI JSON text into structured n8n objects with error handling. 🧮 Calculate Weighted Quality Score (Code Node) – Computes final weighted score (0–100), generates flags, formats vague phrases, and preserves context. 💾 Save Scores to Spreadsheet (Google Sheets) – Updates the original feedback row with Score, Flags, and AI JSON. 💬 Send Feedback Summary to Interviewer (Slack) – Sends interviewers a structured Slack report (score, flags, vague phrases, STAR improvement tips). 🎯 Check if Training Needed – Applies threshold logic: if score < 50, route to training recommendations. 📚 Send Training Recommendations (Slack) – Delivers STAR method guides and bias-free interviewing resources to low scorers. Prerequisites Google Sheets (Raw_Feedback + Error Log Sheet) Azure OpenAI API credentials (for GPT-4o-mini) Slack API credentials (for sending feedback & training notifications) n8n instance (cloud or self-hosted) Key Benefits ✅ Automated interview feedback quality scoring ✅ Bias detection and vague feedback flagging ✅ Real-time Slack feedback to interviewers ✅ Error logging for AI reliability tracking ✅ Training recommendations for low scorers ✅ Audit trail maintained in Google Sheets Perfect For HR & Recruitment teams ensuring structured interviewer feedback Organizations enforcing STAR method & bias-free hiring Teams seeking continuous interviewer coaching Companies needing audit-ready records of interview quality

Extract Business Emails from Google Maps Listings for Lead Generation

by Jose Castillo

This workflow scrapes Google Maps business listings (e.g., carpenters in Tarragona) to extract websites and email addresses — perfect for lead generation, local business prospecting, or agency outreach. 🔧 How it works Manual Trigger – start manually using the “Test Workflow” button. Scrape Google Maps – fetches the HTML from a Google Maps search URL. Extract URLs – parses all business links from the page. Filter Google URLs – removes unwanted Google/tracking links. Remove Duplicates + Limit – keeps unique websites (default: 100). Scrape Site – fetches each website’s HTML. Extract Emails – detects valid email addresses. Filter Out Empties & Split Out – isolates each valid email per site. (Optional) Add to Google Sheet – appends results to your Sheet. 💼 Use cases Local business leads: find emails of carpenters, dentists, gyms, etc., in your city. Agency outreach: collect websites and contact emails to pitch marketing services. B2B prospecting: identify businesses by niche and region for targeted campaigns. 🧩 Requirements n8n instance with HTTP Request and Code nodes enabled. (Optional) Google Sheets OAuth2 credentials. Tip: Add a “Google Sheets → Append Row” node and connect it to your account. 🔒 Security No personal or sensitive data included — only credential references. If sharing this workflow, anonymize the “credentials” field before publishing.

Generate Job-Specific ATS Resumes with Perplexity AI and PDF Export

by Yashraj singh sisodiya

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. ATS Resume Maker Workflow Explanation Aim The aim of the ATS Resume Maker according to JD workflow is to automate the creation of an ATS-friendly resume by tailoring a candidate’s resume to a specific job description (JD). It streamlines the process of aligning resume content with JD requirements, producing a professional, scannable PDF resume that can be stored in Google Drive. Goal The goal is to: Allow users to input their resume (text or PDF) and a JD (PDF) via a web form. Extract and merge the text from both inputs. Use AI to customize the resume, prioritizing JD keywords while maintaining the candidate’s truthful information. Generate a clean, ATS-optimized HTML resume and convert it to a downloadable PDF. Upload the final PDF to Google Drive for easy access. This ensures the resume is optimized for Applicant Tracking Systems (ATS), which are used by employers to screen resumes, by incorporating relevant keywords and maintaining a simple, scannable format. Requirements The workflow relies on specific components and configurations: n8n Platform**: The automation tool hosting the workflow. Node Requirements**: Form Trigger: A web form to collect user inputs (resume text/PDF, JD PDF). Process one binary file1: JavaScript to rename and organize PDF inputs. Extracting resume1: Extracts text from PDF files. Merge Resume + JD1: Combines resume and JD text into a single string. Customize resume1: Uses Perplexity AI to generate an ATS-friendly HTML resume. HTML format1: Cleans the HTML output by removing newlines. HTML3: Processes HTML for potential display or validation. HTML to PDF: Converts the HTML resume to a PDF file. Upload file: Saves the PDF to a specified Google Drive folder. Credentials**: CustomJS account for the HTML-to-PDF conversion API. Google Drive account for file uploads. Perplexity account for AI-driven resume customization. Input Requirements**: Resume (plain text or PDF). Job description (PDF). Output**: A tailored, ATS-friendly resume in PDF format, uploaded to Google Drive. API Usage The workflow integrates multiple APIs to achieve its functionality: Perplexity API*: Used in the *Customize resume1 node to leverage the sonar-reasoning model for generating an ATS-optimized HTML resume. The API processes the merged resume and JD text, aligning content with JD keywords while adhering to strict HTML and CSS guidelines (e.g., Arial font, no colors, single-column layout). [Ref: Workflow JSON] CustomJS API*: Used in the *HTML to PDF node to convert the cleaned HTML resume into a PDF file. This API ensures the resume is transformed into a downloadable format suitable for ATS systems. [Ref: Workflow JSON] Google Drive API*: Used in the *Upload file node to store the final PDF in a designated Google Drive folder (Resume folder in My Drive). This API handles secure file uploads using OAuth2 authentication. [Ref: Workflow JSON] These APIs are critical for AI-driven customization, PDF generation, and cloud storage, ensuring a seamless end-to-end process. HTML to PDF Conversion The HTML-to-PDF conversion is a key step in the workflow, handled by the HTML to PDF node: Process*: The node takes the cleaned HTML resume ($json.cleanedResponse) from the *HTML format1 node and uses the @custom-js/n8n-nodes-pdf-toolkit.html2Pdf node to convert it into a PDF. API*: Relies on the *CustomJS API for high-fidelity conversion, ensuring the PDF retains the ATS-friendly structure (e.g., no graphics, clear text hierarchy). Output*: A binary PDF file passed to the *Upload file node. Relevance**: This step ensures the resume is in a widely accessible format, suitable for downloading or sharing with employers. The use of a dedicated API aligns with industry practices for HTML-to-PDF conversion, as seen in services like PDFmyURL or PDFCrowd, which offer similar REST API capabilities for converting HTML to PDF with customizable layouts. Ref:,(https://pdfmyurl.com/) Download from Community Link The workflow does not explicitly include a community link for downloading the final PDF, but the Upload file node stores the PDF in Google Drive, making it accessible via a shared folder or link. To enable direct downloads: Workflow Summary The ATS Resume Maker according to JD workflow automates the creation of a tailored, ATS-friendly resume by: Collecting user inputs via a web form (Form Trigger). Processing and extracting text from PDFs (Process one binary file1, Extracting resume1). Merging and customizing the content using Perplexity AI (Merge Resume + JD1, Customize resume1). Formatting and converting the resume to PDF (HTML format1, HTML3, HTML to PDF). Uploading the PDF to Google Drive (Upload file). The workflow leverages APIs for AI processing, PDF conversion, and cloud storage, ensuring a professional output optimized for ATS systems. Community sharing can be enabled via Google Drive links or external platforms, as discussed in related web resources. Ref:,,(https://pdfmyurl.com/) Timestamp: 02:54 PM IST, Wednesday, August 20, 2025

Automate Shopify Product Posting to Social Media with GPT-4.1-Mini & Data Tracking

by Avkash Kakdiya

How it works This workflow listens for new products in Shopify and transforms the product data into polished social media content. It generates captions and hashtags using an AI model, then posts the product to Instagram and Facebook using the Facebook Graph API. It logs every post to Google Sheets and sends a confirmation message to Discord. The flow ensures consistent publishing across all platforms with automated formatting and tracking. Step-by-step Trigger on Shopify product creation** Shopify Trigger – Activates when a new product is added to the store. Prepare product data** parse product data – Extracts product name, price, description, URL, image, and timestamp. Generate caption and hashtags** Generate caption and hashtags – Uses an AI model to craft a caption and produce 10 relevant hashtags. Configure posting parameters** Set Configuration – Stores access tokens, platform IDs, caption text, hashtags, and image URL. Publish to Instagram** Create Instagram Media Container – Sends the image and caption to create a media container. Wait for Processing – Waits for the container to finish processing. Publish Instagram Media – Publishes the processed container to the Instagram feed. Publish to Facebook** Download Image for Facebook – Downloads the product image from Shopify. Post to Facebook Page – Uploads the image with the caption and hashtags to the Facebook Page. Merge publishing results** Merge – Combines responses from Instagram and Facebook for unified logging. Log post to Google Sheets** Log Product Post Data – Appends product info, caption, and hashtags to a spreadsheet. Notify via Discord** Notify Discord About Post – Sends a message summarizing the published product. Why use this? Ensures every new Shopify product is promoted instantly across major social platforms. Eliminates manual posting and caption creation with reliable automation. Maintains centralized logging for auditing, tracking, or analytics. Provides real-time team notifications to confirm successful posts. Reduces errors and keeps brand messaging consistent across channels.

4 nodes

Automated Nicereply Feedback Routing to MS Teams by Team and Sentiment

by Easy8.ai

Auto-Routing Nicereply Feedback to Microsoft Teams by Team and Sentiment Automatically collect client feedback from Nicereply, analyze sentiment, and send it to the right Microsoft Teams channels — smartly split by team, tone, and comment presence. About this Workflow This workflow pulls customer satisfaction feedback from Nicereply, filters out irrelevant or test entries, and evaluates each item based on the team it belongs to and the sentiment of the response (Great, OK, Bad). It automatically routes the feedback to Microsoft Teams — either as a summary in a channel or a direct message — depending on the team's role and whether a comment is included. Perfect for support, delivery, consulting, and documentation teams that want to stay in the loop with customer sentiment. It ensures that positive feedback reaches the teams who earned it, and that negative feedback is escalated quickly to leads or management. Use Cases Send daily customer feedback directly to the responsible teams in MS Teams Automatically escalate negative responses to leads or managers Avoid clutter by filtering out unimportant or test entries Keep internal teams motivated by sharing only the most relevant praise How it works Schedule Trigger Starts the workflow on a set schedule (e.g., daily at 7:00 AM) Get Feedback Pulls customer feedback from Nicereply using survey ID Split Out Processes each feedback entry separately Edit Feedbacks Renames or adjusts fields for easier filtering and readability Change Survey ID Maps internal survey identifiers for accurate team routing (Survey ID can be found in Nicereply: Settings > Surveys > [Survey] > ID) Filter Excludes old responses Code Node Tag unknown clients Change Happiness Value Converts score into “Great”, “OK”, or “Bad” for routing logic Without Comment Checks if feedback includes a text comment or not Send Feedback Without Comment Routes simple feedback (no comment) to MS Teams based on team + score Send Feedback With Comment Routes full feedback with comment to MS Teams for closer review Feedback Routing Logic Each team receives only what’s most relevant: Support, Docs, Consulting* get only *Great** feedback to boost morale Team Leads* receive *OK and Bad** feedback so they can follow up Management* is only alerted to *Bad** feedback for critical response These rules can be freely customized. For example, you may want Support to receive all responses, or Management only when multiple Bad entries are received. The structure is modular and easily adjustable. How to Use Import the workflow Load the .json file into your Easy Redmine automation workspace Set up connections Nicereply API key or integration setup Microsoft Teams integration (chat and/or channel posting) Insert your Survey ID(s) You’ll find these in the Nicereply admin panel under Survey settings Customize team logic Adjust survey-to-team mappings and message routing as needed Edit Teams message templates Modify message text or formatting based on internal tone or content policies Test with real data Run manually and verify correct delivery to MS Teams Deploy and schedule Let it run on its own to automate the feedback cycle Requirements Nicereply account with active surveys Microsoft Teams account with permissions to post to channels or send chats Optional Enhancements Add AI to summarize long comments Store feedback history in external DB Trigger follow-up tasks or alerts for repeated Bad scores Localize messages for multilingual feedback systems Integrate additional tools like Slack, Easy Redmine, etc. Tips for a Clean Setup Keep team routing logic in one place for easy updates Rename all nodes clearly to reflect their function (e.g., Change Happiness Value) Add logging or alerting in case of failed delivery or empty feedback pull Use environment variables for tokens and survey IDs where possible

Automated Image Editing with GPT-4 Vision & Gemini for Instagram Posts from Airtable

by Jonathan Reeve

Who's it for Content creators, social media managers, and marketing teams who want to automate image editing and Instagram posting workflows using AI-powered image analysis and generation. What it does This workflow automatically processes images stored in Airtable, analyzes them using AI vision models, generates optimized editing prompts, creates new variations using Google's Gemini AI, and posts the results directly to Instagram. The entire process is triggered via webhook and includes comprehensive error handling and status tracking. How it works The workflow begins when triggered via webhook with an Airtable record ID. It fetches the original image, analyzes its visual elements using GPT-4 Vision, then uses that analysis along with user-specified editing parameters (composition, lighting, style, atmosphere, color palette, text overlay) to generate an optimized prompt. Google Gemini AI then creates a new image based on these specifications, which gets uploaded back to Airtable and posted to Instagram via the Graph API. Requirements Airtable account with configured base and tables OpenAI API key for image analysis Google Gemini API key for image generation Meta Developer account with Instagram Graph API access Instagram Business account connected to Facebook Page How to set up Configure your Airtable base with the required fields: Status, Picture, Core Subject, Setting, Composition, Lighting, Style, Atmosphere, Color Palette, Text Overlay, Post Description Set up OpenAI credentials in n8n for the image analysis node Configure Google Gemini API credentials for image generation Set up Meta Graph API credentials for Instagram posting Update the Airtable base IDs and table IDs in all Airtable nodes Configure your Instagram Business Account ID in the Instagram posting nodes Test the webhook URL and ensure proper connectivity How to customize Modify the image analysis prompt in the "Analyze image" node to focus on different visual elements Adjust the Gemini generation parameters (temperature, max tokens) for different creative outputs Add additional social media platforms by duplicating the Instagram posting logic Customize error handling and status updates based on your workflow needs Add image format conversion or resizing nodes if needed for Instagram requirements

5 nodes1 views

Enterprise Knowledge Search with GPT-4 Turbo, Google Drive & Academic APIs

by vinci-king-01