Workflow Templates

This workflow illustrates how to convert data from JSON to binary format and import JSON data or files into Google Sheets or local spreadsheets.

This automated n8n workflow automates AWS S3 bucket and file operations (create, delete, upload, download, copy, list) by parsing simple email commands and sending back success or error confirmations. Good to Know The workflow processes email requests via a Start Workflow (GET Request) node. Data extraction from emails identifies S3 operation commands. Error handling is included for invalid or missing email data. Responses are sent via email for each action performed. How It Works Start Workflow (GET Request)** - Captures incoming email requests. Extract Data from Email** - Parses email content to extract S3 operation commands. Check Task Type** - Validates the type of task (e.g., create bucket, delete file). Create a Bucket** - Creates a new S3 bucket. Delete a Bucket** - Deletes an existing S3 bucket. Copy a File** - Copies a file within S3. Delete a File** - Deletes a file from S3. Download a File** - Downloads a file from S3. Upload a File** - Uploads a file to S3. Get Many Files** - Lists multiple files in a bucket. Check Success or Fail** - Determines the outcome of the operation. Send Success Email** - Sends a success confirmation email. Send Failed Email** - Sends a failure notification email. How to Use Import the workflow into n8n. Configure the Start Workflow (GET Request) node to receive email commands. Test the workflow with sample email commands (e.g., "create bucket: my-bucket", "upload file: document.pdf"). Monitor email responses and adjust command parsing if needed. Example Email for Testing List files from the bucket json-test in Mumbai region. Requirements AWS S3 credentials configured in n8n. Email service integration (e.g., SMTP settings). n8n environment with workflow execution permissions. Customizing This Workflow Adjust the Extract Data from Email node to support additional command formats. Modify the Send Success Email or Send Failed Email nodes to customize messages. Update the S3 nodes to include additional bucket or file attributes.

🔍 Overview This template uses Firecrawl’s /search API to perform AI-powered web scraping and screenshots — no code required. Just type natural language prompts, and an AI Agent will convert them into precise Firecrawl queries. ⚙️ Setup Get your Firecrawl API Key from https://firecrawl.dev Add it to n8n using HTTP Header Auth: Key: Authorization Value: Bearer YOUR_API_KEY 🚀 What It Does Turns natural language into smart search queries Scrapes web data and captures full-page screenshots Returns titles, links, content, and images 💡 Example Input: > Find AI automation pages on YouTube (exclude Shorts) Result: { "query": "intitle:AI automation site:youtube.com -shorts", "limit": 5 }

This n8n template implements an AI-Powered Chatbot for Automated WHMCS Support Ticket Creation Who's it for This template is designed for web hosting companies, domain registrars, and IT service providers who want to automate their customer support ticket creation process. It's perfect for businesses looking to streamline support operations by automatically converting customer chat conversations into structured WHMCS support tickets while maintaining professional, empathetic customer interactions. How it works / What it does This workflow creates an AI-powered chatbot that automatically converts customer chat messages into structured support tickets within the WHMCS system. The AI agent automatically: Receives customer queries through a webhook endpoint Processes natural language requests using Google Gemini AI Extracts key information from customer conversations: Customer name and email Issue description and subject Appropriate support department Priority level (Low, Medium, High) Fetches valid support departments from WHMCS using the GetSupportDepartments API Creates structured support tickets via WHMCS OpenTicket API Maintains conversation context with session-based memory Provides professional responses while gathering necessary information The system ensures 100% accuracy by always mapping to valid WHMCS departments and never inventing ticket fields, maintaining data integrity and proper ticket routing. How to set up 1. Configure Google Gemini API Set up your Google Gemini API credentials in the Google Gemini Chat Model node Ensure you have sufficient API quota for your expected usage 2. Configure WHMCS API Update the WHMCS API credentials in both HTTP Request Tool nodes Replace https://WHMCS_URL.com/includes/api.php with your actual WHMCS API endpoint Ensure your WHMCS API has the necessary permissions for: GetSupportDepartments action OpenTicket action 3. Customize AI Agent Behavior Modify the system message in the AI Agent node to match your company's tone and policies Adjust the agent's response style and ticket creation workflow Customize department mapping and priority assignment logic 4. Set up the Webhook The workflow creates a unique webhook endpoint for receiving customer queries Use this endpoint URL in your customer-facing chat interface Ensure proper security measures for webhook access 5. Test Department Integration Verify that the GetSupportDepartments API call returns your actual support departments Test ticket creation with various customer scenarios Ensure proper error handling for API failures Requirements Google Gemini API account** with appropriate credentials n8n instance** (self-hosted or cloud) WHMCS installation** with API access enabled Support department structure** already configured in WHMCS Customer chat interface** or messaging system How to customize the workflow Modify AI Agent Behavior Edit the system message in the AI Agent node to change the bot's personality and response style Adjust ticket creation logic and required field validation Customize priority assignment algorithms based on keywords or urgency indicators Enhance Ticket Creation Add custom fields to the ticket creation process Implement ticket categorization based on conversation content Add automatic assignment to specific support staff members Improve Customer Experience Add ticket confirmation and tracking information Implement follow-up message scheduling Add customer satisfaction surveys after ticket resolution Security Enhancements Implement API key rotation and monitoring Add request validation and sanitization Set up usage analytics and abuse prevention Key Features Automatic ticket creation** from natural language conversations Intelligent department mapping** using WHMCS API Professional customer interaction** with empathetic responses Session-based memory** for contextual conversations Structured ticket data** with proper validation Priority assignment** based on conversation analysis Scalable webhook architecture** for high-volume usage Direct WHMCS integration** for seamless ticket management Use Cases 24/7 automated support ticket creation** for web hosting companies Customer service automation** with human-like interaction Support team efficiency** by reducing manual ticket entry Consistent ticket formatting** across all customer interactions Improved response times** through immediate ticket creation Customer self-service** with professional guidance Chat Session Management The workflow automatically manages chat sessions with the following features: Unique Session IDs** for each customer conversation Automatic information extraction** from customer messages Conversation history tracking** with chronological message storage Session persistence** across multiple interactions Contextual responses** based on conversation history Example Customer Interactions The AI agent can handle various customer scenarios: Technical Issues**: "My website is down" → Creates ticket in Technical Support department Billing Questions**: "I need help with my invoice" → Creates ticket in Billing department Domain Services**: "I want to transfer my domain" → Creates ticket in Domain Services department General Support**: "I have a question about my hosting plan" → Creates ticket in General Support department Ticket Creation Process The workflow follows a structured approach: Information Gathering: The AI agent identifies missing required information (email, name, etc.) Department Selection: Fetches available departments from WHMCS and maps customer needs appropriately Priority Assessment: Determines ticket priority based on urgency indicators in the conversation Ticket Creation: Generates a well-structured ticket with clear subject and detailed message Confirmation: Provides customer with ticket creation confirmation and next steps This template transforms your web hosting business by providing instant, automated support ticket creation while maintaining the personal touch that customers expect from professional service providers. The AI agent becomes an extension of your support team, handling routine inquiries and ensuring no customer request goes unaddressed.

This n8n template implements a Customer Support Chat Agent for Web Hosting Companies with Google Gemini, Google Sheets Knowledge base and WHMCS API to Check Domain Name Availability Who's it for This template is designed for web hosting companies, domain registrars, and IT service providers who want to automate their customer support with an AI-powered chatbot. It's perfect for businesses looking to provide 24/7 customer assistance for hosting plans, domain services, and technical support while maintaining a professional, human-like interaction experience. How it works / What it does This workflow creates an AI-powered customer support chatbot that provides comprehensive assistance for web hosting and domain services. The AI agent (named Matt) automatically: Receives customer queries through a webhook endpoint Captures customer information (name and email) at the start of each session Processes natural language requests using Google Gemini AI Accesses real-time information from multiple Google Sheets knowledge bases: Shared Hosting Plans (pricing, features, specifications) Domain Prices (registration, transfer, renewal costs) Hosting Features (technical capabilities and specifications) FAQs (common questions and answers) Payment Method Details (accepted payment options) Company Offerings (available products and services) Checks domain availability via WHMCS API integration Provides accurate, contextual responses based on the knowledge base Maintains conversation history with session-based memory Stores complete chat sessions in Google Sheets for analysis and follow-up The system ensures 100% accuracy by only providing information that exists in the knowledge base, eliminating guesswork and maintaining brand consistency. How to set up 1. Configure Google Sheets Knowledge Base Set up a Google Sheets document with the following sheets: Shared_Hosting_Plans: Hosting plan details, pricing, and specifications Domain_Prices: Domain registration and renewal pricing Hosting_Features: Technical features and capabilities FAQs: Frequently asked questions and answers Payment_Method_Details: Payment options and instructions Offerings: Available products and services Update the Google Sheets credentials in each tool node 2. Set up Google Gemini API Configure your Google Gemini API credentials in the Google Gemini Chat Model node Ensure you have sufficient API quota for your expected usage 3. Configure WHMCS API (Optional) Replace Your_WHMCS_Identifier with your actual WHMCS API identifier Replace Your_WHMCS_Secret with your actual WHMCS API secret Update https://your_whmcs_url.com/includes/api.php with your WHMCS domain This enables domain availability checking for customers 4. Set up Chat Storage Create a Google Sheet for storing chat inquiries Update the document ID and credentials in the Chat_Inquiries node This will automatically store all customer conversations for analysis 5. Deploy the Webhook The workflow creates a unique webhook endpoint for receiving customer queries Use this endpoint URL in your customer-facing application or chat interface Requirements Google Sheets account** with the knowledge base set up Google Gemini API account** with appropriate credentials n8n instance** (self-hosted or cloud) WHMCS installation** (optional, for domain availability checking) Web hosting or domain services business** How to customize the workflow Modify AI Agent Behavior Edit the system message in the AI Agent node to change the bot's personality and response style Adjust response length and tone to match your brand voice Customize the agent's name (currently "Matt") Enhance Knowledge Base Add more Google Sheets tools for additional information sources Include product catalogs, pricing tables, or technical documentation Add multi-language support for international customers Improve Customer Experience Add domain suggestion algorithms based on customer input Integrate with your existing customer database for personalized recommendations Add notification systems (email, Slack, SMS) for high-value inquiries Security Enhancements Implement API key rotation and monitoring Add request validation and sanitization Set up usage analytics and abuse prevention Key Features Real-time information access** from Google Sheets knowledge base AI-powered natural language processing** for customer queries Session-based memory** for contextual conversations Automatic domain availability checking** via WHMCS API Professional, customer-focused responses** that maintain brand standards Complete chat history storage** for analysis and follow-up Scalable webhook architecture** for high-volume usage Multi-tool integration** for comprehensive customer support Use Cases 24/7 customer support automation** for web hosting companies Sales team assistance** with real-time product information Customer self-service portals** with intelligent assistance Lead generation** through proactive service recommendations Customer retention** via improved support experience Support ticket reduction** by handling common queries automatically Chat Session Management The workflow automatically manages chat sessions with the following features: Unique Session IDs** for each customer conversation Automatic customer information capture** (name and email) Conversation history tracking** with chronological message storage Session persistence** across multiple interactions Data export** to Google Sheets for analysis and follow-up Example Customer Interactions The AI agent can handle various customer scenarios: Hosting Plan Inquiries**: Detailed information about shared hosting plans, features, and pricing Domain Services**: Domain availability checking, pricing, and registration guidance Technical Support**: Feature explanations, setup guidance, and troubleshooting Payment Information**: Accepted payment methods and transaction processes General Support**: Company information, service offerings, and FAQ responses This template transforms your web hosting business by providing instant, accurate customer support while maintaining the personal touch that customers expect from professional service providers. The AI agent becomes an extension of your support team, handling routine inquiries and allowing human agents to focus on complex technical issues.

WP Category Toolkit automates mapping content topics to your WordPress category IDs using your WordPress REST API and a GPT-5mini model. It replaces manual copy-paste and guesswork when assigning categories, speeds up publishing, and reduces tagging errors so your site stays organized and search friendly without you learning new dev magic (just a bit of prompt craft). 💡 Why Use WP Category Toolkit? Saves time:** Cuts hours of manual category lookup and mapping—deploy batches of posts in minutes, not coffee breaks. Stops messy tagging:** Eliminates inconsistent category assignments so your archive and SEO behave themselves. Measurable improvement:** Expect faster publish cycles and fewer category fixes (reduce manual mapping errors by ~90%). Competitive edge:** Uses an LLM to interpret topic intent, so your categories align with content meaning, not guesswork—like having a librarian who understands your jokes. ⚡ Perfect For Content Managers:** Keep large WordPress catalogs neat without the spreadsheet gymnastics. Agencies:** Onboard client sites faster by automating taxonomy mapping across projects. Developers & Automators:** Add an LLM-powered mapping step to content pipelines without building custom classifiers. 🔧 How It Works ⏱ Trigger: Manual start (kick it off when you’re ready to map categories). 📎 Process: Pull all site categories from your WordPress REST endpoint, aggregate the list, and feed the source content + current topic into the mapping step. 🤖 Smart Logic: A Chain LLM node (Category-Mapping) uses a small prompt to decide which WordPress category IDs match the content topic (GPT5-mini handles the reasoning). 💌 Output: A clean category ID mapping you can paste into your Body Post WordPress node or use to patch posts automatically. 🔐 Quick Setup Import JSON file to your n8n instances → n8n Import Link Add credentials: WordPress API credential & Azure OpenAI (GPT5-mini) credential or you can use usual open AI node Update: Replace the WP endpoint URLand any post-body endpoints you’ll write back to Test: Run with a sample post and copy the output mapping into your Body Post WordPress node to confirm IDs match expected categories 🧩 You'll Need Active n8n instances → n8n Partner Link WordPress REST API access and credentials (wp-json access) Azure OpenAI account with access to GPT5-mini Integrations: WordPress API node, Chain LLM / Azure OpenAI node (Optional) Staging WordPress site to test mappings safely 🛠️ Level Up Ideas Auto-write category descriptions based on mapped content using the LLM. (It’ll sound smarter than your coffee.) Patch posts automatically after mapping so mapping becomes truly zero-touch. Add fallback heuristics: if the LLM is uncertain, route to a Slack/Microsoft Teams approval step. Made by: Khairul Tags: WordPress, Categories, AI, n8n Category: WordPress Need custom work? Contact me

Automatically Upload Expenses to QuickBooks from Google Sheets What It Does This n8n workflow template automates the process of uploading categorized expenses from Google Sheets into QuickBooks Online. It leverages your Google Sheets data to create expense entries in QuickBooks with minimal manual effort, streamlining the accounting process. Prerequisites QuickBooks Online Credential**: Set up your QuickBooks Online connection in n8n for expense creation. Google Sheets Credential**: Set up your Google Sheets connection in n8n to read and write data. How It Works Refresh Google Sheets Data: The workflow will first refresh the list of vendors and chart of accounts from your Google Sheets template. Import Bank Transactions: Open the provided Google Sheets template and copy-paste your transactions from your online banking CSV file. Categorize Transactions: Quickly categorize the transactions in Google Sheets, or assign this task to a team member. Run the Workflow: Once the transactions are categorized, run the workflow again, and each expense will be created automatically in QuickBooks Online. Example Use Cases Small Business Owners**: Automatically track and upload monthly expenses to QuickBooks Online without manually entering data. Accountants**: Automate the transfer of bank transactions to QuickBooks, streamlining the financial process. Bookkeepers**: Quickly categorize and upload business expenses to QuickBooks with minimal effort. Setup Instructions Connect Your Google Sheets and QuickBooks Credentials: In n8n, connect your Google Sheets and QuickBooks accounts. Follow the credential setup instructions for both services. Setup the Google Sheets Node: Link the specific Google Sheet that contains your expense data. Make sure the sheet includes the correct columns for transactions, vendors, and accounts. Setup the QuickBooks Node: Configure the QuickBooks Online node to create expense entries in QuickBooks from the data in your Google Sheets. Setup the HTTP Node for API Calls: Use the HTTP node to make custom API calls to QuickBooks Configure the QuickBooks Realm ID: Obtain the QuickBooks Realm ID from your QuickBooks Online Developer account to use for custom API calls. This ensures the workflow targets the correct QuickBooks instance. How to Use Import Transactions: Copy and paste your bank transactions from the CSV into the provided Google Sheets template. Categorize Transactions: Manually categorize the transactions in the sheet, or delegate this task to another person to ensure they’re correctly tagged (e.g., Utilities, Office Supplies, Travel). Run the Workflow: Execute the workflow to automatically upload the categorized expenses into QuickBooks. Verify in QuickBooks: After the workflow runs, log into QuickBooks Online to confirm the expenses have been created and categorized correctly. Free Google Sheets Template To get started quickly, download my free Google Sheets template that includes pre-configured sheets for bank transactions, vendors, and chart of accounts. This template will make it easier for you to import and categorize your expenses before running the n8n workflow. Download the Free Google Sheets Template Customization Options Category Mapping**: Customize how categories in Google Sheets are mapped to QuickBooks expense types. Additional API Calls**: Add custom API calls if you need extra functionality, such as creating custom reports or syncing additional data. Notifications**: Configure email or Slack notifications to alert you when the expenses have been successfully uploaded. Why It's Useful Time-Saving**: Automatically upload and categorize expenses in QuickBooks without needing to enter them manually. Error Reduction**: Minimize human error by automating the process of uploading and categorizing transactions. Efficiency**: Connects Google Sheets to QuickBooks, making it easy to manage expenses in one place without having to toggle between multiple apps. Accuracy**: Syncs data between Google Sheets and QuickBooks in a structured, automated way for consistent and reliable financial reporting. Flexibility**: Allow external users or lower-permission employees to categorize financial transactions without providing direct access to QBO

✅ What problem does this workflow solve? Online course prices—especially on platforms like Udemy—change frequently and often include time-limited discounts. Manually checking prices, coupon availability, and offer expiration is tedious and unreliable. This workflow automates browser-based price tracking using Airtop, detects high-discount deals, logs them in Google Sheets, and instantly notifies you on Telegram—all without scraping hacks or brittle scripts. ⚙️ What does this workflow do? Automates real browser interactions using Airtop Searches Udemy for specific course topics Extracts live course pricing and offer data Detects discounts of 50% or more Logs deal details in Google Sheets Sends real-time Telegram alerts before offers expire 🧠 How It Works – Step by Step 1. ⏱ Schedule Trigger The workflow runs automatically at a fixed interval (hourly or daily). 2. 🌐 Create Browser Session (Airtop) Starts a new Airtop browser session Opens Udemy search results for a specific keyword (e.g., n8n) 3. 🔍 Scrape Course Data Using Airtop’s extraction capabilities, the workflow collects: Course title Instructor name Current price Original price (if available) Rating Offer expiration time Course URL 4. 🔁 Loop Through Courses Each course is processed individually to: Check if an offer exists Skip non-discounted courses 5. 🧮 Calculate Discount Percentage Extracts numeric price values Computes discount percentage Filters courses with ≥ 50% discount 6. 📊 Log Deals in Google Sheets For qualifying deals, the workflow appends: Course title Instructor Original & discounted price Discount percentage Rating Offer time left Course URL This creates a persistent deal history for tracking and analysis. 7. 📣 Telegram Notification When a high-discount deal is found, a formatted Telegram alert is sent including: Course name Instructor Discount amount Price comparison Rating Direct course link Offer expiration info 8. 🧹 Cleanup Closes the Airtop browser window Terminates the session to conserve resources 🧩 Integrations Used Airtop** – No-code browser automation n8n** – Workflow orchestration Google Sheets** – Deal tracking & logging Telegram Bot API** – Instant deal alerts 👤 Who is this for? This workflow is perfect for: 🎓 Learners hunting course deals 🧠 Knowledge seekers tracking Udemy discounts 🤖 Automation enthusiasts exploring browser automation 📉 Price monitoring use cases beyond e-learning

📄 What this workflow does This workflow turns your n8n into an automated product-video generator powered by Google Sheets. When a new row is added with status = run, it: Downloads the product image from Google Drive. Converts the image to base64 and sends it to Gemini, which creates a branded ad-style variant. Saves the generated image back into a designated Google Drive folder. Sends the image to FAL (image-to-video) to generate a short promotional video clip. Polls FAL’s response_url until the video is ready. Uploads the video to Google Drive (videos folder). Updates the original Google Sheet row with the video link and sets status = finished. Handles API latency via wait/polling and logs failures into the sheet if needed. 👤 Who is this for Marketing teams automating creative asset production. E-commerce businesses needing quick product promo videos. Agencies creating branded ad content at scale. ✅ Requirements An n8n instance. A Google Sheet with at least these columns: STT, link_image, note, status, link_video. Google Sheets & Google Drive OAuth2 credentials connected in n8n. Gemini API key (for ad-style image generation). FAL API key (for image-to-video). ⚙️ How to set up Import the provided workflow JSON into n8n. Connect Google Sheets credentials and point to your sheet (documentId + gid). Connect Google Drive credentials and update folder IDs in the two Upload File nodes (images/videos). Add Gemini and FAL API keys in the respective HTTP Request headers (via Credentials). Test: add a row with link_image, note, and status = run. The workflow should generate and save a video, then update the sheet with the link. 🔁 How it works Trigger → Google Sheets Trigger fires on rowAdded where status = run. Pre-processing → Download the product image from Google Drive → extract base64. LLM Image Generation → Gemini generates an ad-style variant based on note. Storage → Upload the generated image into the “images” Drive folder. Video Creation → FAL converts the branded image into a short video. Polling → Wait node + HTTP Request check job status until video is completed. Write-back → Upload final video into the “videos” Drive folder, update the sheet with the link_video, and set status = finished.

Send VAPI voice requests into n8n with memory and OpenAI for conversational automation This template shows how to capture voice interactions from VAPI (Voice AI Platform), send them into n8n via a webhook, process them with OpenAI, and maintain context with memory. The result is a conversational AI agent that responds back to VAPI with short, business-focused answers. ✅ What this template does Listens for POST requests from VAPI containing the session ID and user query Extracts session ID and query for consistent conversation context Uses OpenAI (GPT-4.1-mini) to generate conversational replies Adds Memory Buffer Window so each VAPI session maintains history Returns results to VAPI in the correct JSON response format 👤 Who’s it for Developers and consultants building voice-driven assistants Businesses wanting to connect VAPI calls into automation workflows Anyone who needs a scalable voice → AI → automation pipeline ⚙️ How it works Webhook node catches incoming VAPI requests Set node extracts session_id and user_query from the request body OpenAI Agent generates short, conversational replies with your business context Memory node keeps conversation history across turns Respond to Webhook sends results back to VAPI in the required JSON schema 🔧 Setup instructions Step 1: Create Function Tool in VAPI In your VAPI dashboard, create a new Function Tool Name: send_to_n8n Description: Send user query and session data to n8n workflow Parameters: session_id (string, required) – Unique session identifier user_query (string, required) – The user’s question Server URL: https://your-n8n-instance.com/webhook/vapi-endpoint Step 2: Configure Webhook in n8n Add a Webhook node Set HTTP method to POST Path: /webhook/vapi-endpoint Save, activate, and copy the webhook URL Use this URL in your VAPI Function Tool configuration Step 3: Create VAPI Assistant In VAPI, create a new Assistant Add the send_to_n8n Function Tool Configure the assistant to call this tool on user requests Test by making a voice query — you should see n8n respond 📦 Requirements An OpenAI API key stored in n8n credentials A VAPI account with access to Function Tools A self-hosted or cloud n8n instance with webhook access 🎛 Customization Update the system prompt in the OpenAI Agent node to reflect your brand’s voice Swap GPT-4.1-mini for another OpenAI model if you need longer or cheaper responses Extend the workflow by connecting to CRMs, Slack, or databases 📬 Contact Need help customizing this (e.g., filtering by campaign, connecting to CRMs, or formatting reports)? 📧 rbreen@ynteractive.com 🔗 https://www.linkedin.com/in/robert-breen-29429625/ 🌐 https://ynteractive.com

Create a reusable “photos to post” queue from your Lightroom Cloud album—ideal for Lightroom-to-Instagram automation with n8n. It discovers new photos, stores clean metadata in a Data Table, and generates AI alt text to power on-brand captions and accessibility. Use it together with “Lightroom Image Webhook (Direct JPEG for Instagram)” and “Instagram Auto-Publisher for Lightroom Photos (AI Captions).” What it’s for Automate Lightroom to Instagram; centralize photo data for scheduled IG posting; prep AI-ready alt text and metadata for consistent, hands-free publishing. Parameters to set Lightroom Cloud credentials (client/app + API key) Album/collection ID to monitor in Lightroom Cloud Data Table name for the posting queue (e.g., Photos) AI settings: language/tone for alt text (concise, brand-aware) Image analysis URL: public endpoint of Workflow 2 (Lightroom Image Webhook) Works best with Workflow 2: Lightroom Image Webhook (Direct JPEG for Instagram) Workflow 3: Instagram Auto-Publisher for Lightroom Photos (AI Captions) Learn more & stay in the loop Want the full story (decisions, trade-offs, and tips) behind this Lightroom Cloud → Instagram automation? 👉 Read the write-up on my blog: camilleroux.com If you enjoy street & urban photography or you’re curious how I use these n8n workflows day-to-day: 👉 Follow my photo account on Instagram: @camillerouxphoto 👉 Follow me on other networks: links available on my site (X, Bluesky, Mastodon, Threads)

Short Description Automatically scrape new Upwork job listings, save them to Google Sheets, and get real-time WhatsApp alerts when new matching jobs appear. This workflow helps freelancers and agencies track new opportunities instantly — without checking Upwork manually. Who’s it for For freelancers, agencies, and automation enthusiasts who want to monitor Upwork jobs automatically and receive instant notifications for relevant projects. How it works This workflow connects with RapidAPI to fetch new Upwork job listings, filters relevant ones, stores them in a Google Sheet, and sends WhatsApp alerts for matching results. It includes: Trigger node** for scheduled or webhook-based execution HTTP Request node** connected to RapidAPI for scraping Google Sheets node** to store job data Filter (IF) node** to select relevant jobs WhatsApp API node** to send alerts automatically How to set up Get an API key from RapidAPI and subscribe to an Upwork scraper API. Create a Google Sheet with columns like Title, Budget, Category, Link, and Description. Connect your Google account to n8n using Google Sheets credentials. Set up your WhatsApp API endpoint (e.g., via Waha API or WhatsApp Cloud API). Paste your API keys into the HTTP Request nodes and test the workflow. Schedule the workflow to run automatically (e.g., every hour or once daily). Requirements RapidAPI account (for Upwork scraper API) Google Sheets account WhatsApp API access (Waha / Cloud API) n8n cloud or self-hosted instance How to customize You can modify this workflow to: Track specific job categories or keywords (e.g., “automation”, “AI”, “n8n”) Send alerts to Telegram, Discord, or Slack instead of WhatsApp Add budget or client rating filters for higher-quality job leads Connect it with Airtable or Notion for advanced job tracking