by Evoort Solutions
AI-Powered Image Background Removal Workflow with Google Sheets Integration Flow Description: This workflow utilizes AI-powered image background removal integrated with Google Sheets to create a fully automated and streamlined process for handling and managing image files. The flow is triggered when a user uploads an image through a form. The image is sent to the API Background Remover AI, where it undergoes automatic background removal. Upon successful processing, the new image is uploaded to a temporary file storage service using the Temp File Upload. Afterward, the relevant data, including the image link and status, is logged in a Google Sheets document for easy access and tracking. In case the process fails, the system automatically logs a failure status in the same Google Sheet, along with the reason (if applicable). This allows users to have a transparent, organized, and real-time view of both successful and failed background removal attempts. Used APIs: Background Remover AI: An AI-powered service that removes backgrounds from images. This service offers a fast, accurate, and scalable solution for background removal in images. Temp File Upload: This API facilitates the upload of processed images to a temporary file storage service, making it easy to access and manage files before permanent storage. Use Case: This workflow is highly beneficial for businesses and developers who need to process multiple images automatically. It helps automate tedious tasks such as background removal, making it an efficient tool for industries like: E-commerce**: Automatically removing backgrounds from product images for clean, professional-looking listings across online platforms such as Amazon, eBay, or Shopify. Content Creation**: Content creators can quickly remove backgrounds from images for blogs, social media posts, and marketing campaigns, saving significant time in photo editing. Real Estate**: Real estate businesses can use this workflow to enhance property images by removing unwanted backgrounds, making them look more polished and appealing for listings. Advertising & Marketing**: This workflow simplifies image preparation for digital ads, banners, and promotional content by automatically cleaning up images for a more professional look. Benefits: Time-Saving: By automating the background removal process via the **Background Remover AI API, you eliminate the need for manual image editing, saving time and resources. AI-Powered Accuracy**: The AI-powered background removal service ensures precise and high-quality results consistently. Seamless Integration with Google Sheets: All successful and failed image processing attempts are automatically logged into a **Google Sheets document, ensuring you have a transparent, real-time record of each operation. Error Tracking**: In case of failure, detailed error logs are created in Google Sheets, allowing easy tracking and troubleshooting. Efficient Cloud Storage: The **Temp File Upload API stores processed images securely in the cloud, offering a temporary solution before permanent storage. Google Sheets Table Example: The data from the workflow will be automatically added to a Google Sheets document, creating an organized table with information about the processed images. The table will have the following columns: | Image Name | Link | Status | Expire At | |-----------------|----------|------------|---------------------| | image1.jpg | Link | Success | 2025-07-25T12:00:00Z | | image2.jpg | Link | Success | 2025-07-25T12:00:00Z | | image3.jpg | Not found | Failed | 2025-07-24T12:00:00Z | | image4.jpg | Link | Success | 2025-07-25T12:00:00Z | Columns Explained: Image Name**: The name of the image file uploaded by the user. Link**: A direct link to the processed image stored in temporary file storage. Status: Indicates whether the background removal was **Successful or Failed. Expire At**: The expiration date and time when the temporary file link will no longer be accessible. This table provides real-time tracking of each image processing event, offering full visibility of the workflow results. It is ideal for businesses or developers who need to keep a record of their image-processing operations. Additional Features: Automatic Error Logging**: If the background removal fails for any reason, a failure entry is recorded in Google Sheets with a timestamp and an error message. Custom Expiry Time**: The system automatically sets an expiry time for the processed image, allowing temporary access before it expires and is removed from storage. Scalable Process**: The workflow can easily handle multiple form submissions and process images in bulk, making it scalable for various use cases. Create your free n8n account and set up the workflow in just a few minutes using the link below: π Start Automating with n8n Save time, stay consistent, and grow your LinkedIn presence effortlessly!
by Avkash Kakdiya
How it works The workflow triggers on a new checkout event from Shopify and extracts all relevant cart data. It filters carts based on value and age to isolate qualified abandoned checkouts. For each qualified cart, it sends a follow-up email, updates or creates the corresponding HubSpot contact, and generates a CRM note linked to that contact. Finally, it logs the processed cart into Google Sheets for tracking and review. Step-by-step Trigger on new Shopify checkout** Shopify Trigger β Starts the workflow when a new checkout is created. Normalize and structure cart data** Parse Cart Data β Extracts email, customer name, items, cart totals, timestamps, and hours since creation. Filter carts that meet follow-up criteria** Filter Qualified Carts β Passes only carts older than 12 hours and valued above 50. Send follow-up message** Send a message β Delivers a reminder email to the customer about the pending checkout. Create or update CRM contact** Create or update a contact β Ensures the shopper exists as a HubSpot contact. Prepare CRM note details** Generates Note Data β Builds a structured note containing timing, cart details, and follow-up context. Create the HubSpot note** Create HubSpot Note β Submits the prepared note to HubSpotβs CRM. Associate note with the contact** Associate Note with Contact in HubSpot β Links the generated note to the correct HubSpot contact. Record activity in tracker sheet** Log to Google Sheets β Appends processed cart fields including items, totals, timestamps, and customer info. Why use this? Identifies high-value or long-abandoned carts automatically and follows up without manual effort. Keeps CRM records updated and adds contextual notes sales teams can act on. Maintains a structured audit trail of every abandoned cart interaction. Improves recovery chances by combining email outreach with CRM enrichment and logging. Enables analysis of abandoned checkout patterns directly from Google Sheets.
by Rahi
Workflow 1: Domain and Email Health π©Ί This part of the workflow is triggered every 5 hours by the Schedule Trigger1 node. Its purpose is to pull health metrics for both email domains and individual email addresses. How it Works: ++Schedule Trigger:++ The Schedule Trigger1 node initiates the workflow every 5 hours. ++API Requests:++ Two separate HTTP Request nodes, HTTP Request5 and HTTP Request6, make API calls to Smartlead. ++HTTP Request5 calls++ the endpoint for domain-wise health metrics. ++HTTP Request6 calls++ the endpoint for email-wise health metrics. Both requests use the same api_key and a date range from 2025-07-04 to the current day. ++Data Splitting:++ The Split Out5 and Split Out6 nodes take the JSON response from the API calls and split the data into individual items. This is necessary so each row of data can be processed and added to Google Sheets separately. ++Google Sheets Integration:++ Finally, the Append or update row in sheet5 and Append or update row in sheet6 nodes update two different Google Sheets: ++Append or update row in sheet5 adds++ or updates rows in the DomainHealth sheet, matching on the domain column. ++Append or update row in sheet6 adds++ or updates rows in the EmailHealth sheet, matching on the from_email column. Workflow 2: Global and Campaign-Specific Analytics π This second part of the workflow is triggered every 2 hours by the Schedule Trigger node. Its goal is to get a day-by-day overview of email engagement and campaign-specific performance. How it Works: Schedule Trigger: The Schedule Trigger node starts this workflow every 2 hours. ++API Requests:++ Two HTTP Request nodes, HTTP Request and HTTP Request1, call different Smartlead API endpoints. ++HTTP Request++ retrieves day-wise overall stats for email engagement. ++HTTP Request1 ++retrieves overall stats for each campaign. ++Data Splitting:++ The Split Out and Split Out1 nodes separate the JSON responses into individual data items for processing. ++Google Sheets Integration:++ The Append or update row in sheet and Append or update row in sheet1 nodes then write the data to Google Sheets. ++Append or update row in sheet++ updates the Sheet1 sheet with day-wise metrics, using the date as a matching column. ++Append or update row in sheet1++ updates the CampaignWise sheet with campaign performance metrics, using the campaign id to match rows.
by Oneclick AI Squad
AI-Driven Tax Compliance & Deadline Management System Description Automate tax deadline monitoring with AI-powered insights. This workflow checks your tax calendar daily at 8 AM, uses GPT-4 to analyze upcoming deadlines across multiple jurisdictions, detects overdue and critical items, and sends intelligent alerts via email and Slack only when immediate action is required. Perfect for finance teams and accounting firms who need proactive compliance management without manual tracking. ποΈπ€π Good to Know AI-Powered**: GPT-4 provides risk assessment and strategic recommendations Multi-Jurisdiction**: Handles Federal, State, and Local tax requirements automatically Smart Alerts**: Only notifies executives when deadlines are overdue or critical (β€3 days) Priority Classification**: Categorizes deadlines as Overdue, Critical, High, or Medium priority Dual Notifications**: Critical alerts to leadership + daily summaries to team channel Complete Audit Trail**: Logs all checks and deadlines to Google Sheets for compliance records How It Works Daily Trigger - Runs at 8:00 AM every morning Fetch Data - Pulls tax calendar and company configuration from Google Sheets Analyze Deadlines - Calculates days remaining, filters by jurisdiction/entity type, categorizes by priority AI Analysis - GPT-4 provides strategic insights and risk assessment on upcoming deadlines Smart Routing - Only sends alerts if overdue or critical deadlines exist Critical Alerts - HTML email to executives + Slack alert for urgent items Team Updates - Slack summary to finance channel with all upcoming deadlines Logging - Records compliance check results to Google Sheets for audit trail Requirements Google Sheets Structure Sheet 1: TaxCalendar DeadlineID | DeadlineName | DeadlineDate | Jurisdiction | Category | AssignedTo | IsActive FED-Q1 | Form 1120 Q1 | 2025-04-15 | Federal | Income | John Doe | TRUE Sheet 2: CompanyConfig (single row) Jurisdictions | EntityType | FiscalYearEnd Federal, California | Corporation | 12-31 Sheet 3: ComplianceLog (auto-populated) Date | AlertLevel | TotalUpcoming | CriticalCount | OverdueCount 2025-01-15 | HIGH | 12 | 3 | 1 Credentials Needed Google Sheets - Service Account OAuth2 OpenAI - API Key (GPT-4 access required) SMTP - Email account for sending alerts Slack - Bot Token with chat:write permission Setup Steps Import workflow JSON into n8n Add all 4 credentials Replace these placeholders: YOUR_TAX_CALENDAR_ID - Tax calendar sheet ID YOUR_CONFIG_ID - Company config sheet ID YOUR_LOG_ID - Compliance log sheet ID C12345678 - Slack channel ID tax@company.com - Sender email cfo@company.com - Recipient email Share all sheets with Google service account email Invite Slack bot to channels Test workflow manually Activate the trigger Customizing This Workflow Change Alert Thresholds: Edit "Analyze Deadlines" node: Critical: Change <= 3 to <= 5 for 5-day warning High: Change <= 7 to <= 14 for 2-week notice Medium: Change <= 30 to <= 60 for 2-month lookout Adjust Schedule: Edit "Daily Tax Check" trigger: Change hour/minute for different run time Add multiple trigger times for tax season (8 AM, 2 PM, 6 PM) Add More Recipients: Edit "Send Email" node: To: cfo@company.com, director@company.com CC: accounting@company.com BCC: archive@company.com Customize Email Design: Edit "Format Email" node to change colors, add logo, or modify layout Add SMS Alerts: Insert Twilio node after "Is Critical" for emergency notifications Integrate Task Management: Add HTTP Request node to create tasks in Asana/Jira for critical deadlines Troubleshooting | Issue | Solution | |-------|----------| | No deadlines found | Check date format (YYYY-MM-DD) and IsActive = TRUE | | AI analysis failed | Verify OpenAI API key and account credits | | Email not sending | Test SMTP credentials and check if critical condition met | | Slack not posting | Invite bot to channel and verify channel ID format | | Permission denied | Share Google Sheets with service account email | π Professional Services Need help with implementation or customization? Our team offers: π― Custom workflow development π’ Enterprise deployment support π Team training sessions π§ Ongoing maintenance π Custom reporting & dashboards π Additional API integrations Discover more workflows β Get in touch with us
by Rully Saputra
Automated SEO Watchlist: Continuous Audits Powered by Decodo, Gemini and Google Sheets Automate continuous SEO audits with Decodo and Gemini AI β live data, smart insights, and Google Sheets tracking with team alerts. Whoβs it for This workflow is designed for SEO specialists, marketing teams, agencies, and website owners who want an effortless, automated way to monitor SEO health. Itβs perfect for ongoing audits, content monitoring, and proactive SEO management β without the manual workload. How it works / What it does Every five days, the workflow: Reads a list of URLs from Google Sheets. Uses Decodo to fetch live on-page data β titles, meta descriptions, headings, schema, links, and Core Web Vitals. Passes that data to Gemini AI for an advanced SEO analysis and scoring based on key factors (content, metadata, links, speed, and structure). Parses results via a Structured Output Parser for clean JSON output. Stores findings in Google Sheets and sends a Telegram alert when the audit completes. Why Decodo matters Decodo is the backbone of this workflow. It powers the real-time page inspection, ensuring Gemini AI has complete, accurate data to analyze. Decodo transforms static audits into live, intelligent monitoring β making your SEO insights far more actionable and reliable. How to set up Connect your Decodo API credentials. Add your Google Sheets URL list. Configure your Telegram bot credentials. Enable the workflow β it runs automatically every 5 days. Requirements Decodo API credentials Google Sheets OAuth connection Telegram Bot token n8n instance (Cloud or Self-hosted) How to customize the workflow Change the trigger interval in the Schedule Trigger node. Modify the SEO Analyzer (LLM Chain) weights for different scoring. Extend the Store Result node to integrate with dashboards or databases. Adjust the AI prompt for additional SEO checks (e.g., backlinks, readability, image optimization). β Highlights Automated SEO auditing Real-time data from Decodo Smart analysis powered by Gemini AI Structured reporting in Google Sheets Team notifications via Telegram
by vinci-king-01
Social Media Sentiment Analysis Dashboard with AI and Real-time Monitoring π― Target Audience Social media managers and community managers Marketing teams monitoring brand reputation PR professionals tracking public sentiment Customer service teams identifying trending issues Business analysts measuring social media ROI Brand managers protecting brand reputation Product managers gathering user feedback π Problem Statement Manual social media monitoring is overwhelming and often misses critical sentiment shifts or trending topics. This template solves the challenge of automatically collecting, analyzing, and visualizing social media sentiment data across multiple platforms to provide actionable insights for brand management and customer engagement. π§ How it Works This workflow automatically monitors social media platforms using AI-powered sentiment analysis, processes mentions and conversations, and provides real-time insights through a comprehensive dashboard. Key Components Scheduled Trigger - Runs the workflow at specified intervals to maintain real-time monitoring AI-Powered Sentiment Analysis - Uses advanced NLP to analyze sentiment, emotions, and topics Multi-Platform Integration - Monitors Twitter, Reddit, and other social platforms Real-time Alerting - Sends notifications for critical sentiment changes or viral content Dashboard Integration - Stores all data in Google Sheets for comprehensive analysis and reporting π Google Sheets Column Specifications The template creates the following columns in your Google Sheets: | Column | Data Type | Description | Example | |--------|-----------|-------------|---------| | timestamp | DateTime | When the mention was recorded | "2024-01-15T10:30:00Z" | | platform | String | Social media platform | "Twitter" | | username | String | User who posted the content | "@john_doe" | | content | String | Full text of the post/comment | "Love the new product features!" | | sentiment_score | Number | Sentiment score (-1 to 1) | 0.85 | | sentiment_label | String | Sentiment classification | "Positive" | | emotion | String | Primary emotion detected | "Joy" | | topics | Array | Key topics identified | ["product", "features"] | | engagement | Number | Likes, shares, comments | 1250 | | reach_estimate | Number | Estimated reach | 50000 | | influence_score | Number | User influence metric | 0.75 | | alert_priority | String | Alert priority level | "High" | π οΈ Setup Instructions Estimated setup time: 20-25 minutes Prerequisites n8n instance with community nodes enabled ScrapeGraphAI API account and credentials Google Sheets account with API access Slack workspace for notifications (optional) Social media API access (Twitter, Reddit, etc.) Step-by-Step Configuration 1. Install Community Nodes Install required community nodes npm install n8n-nodes-scrapegraphai npm install n8n-nodes-slack 2. Configure ScrapeGraphAI Credentials Navigate to Credentials in your n8n instance Add new ScrapeGraphAI API credentials Enter your API key from ScrapeGraphAI dashboard Test the connection to ensure it's working 3. Set up Google Sheets Connection Add Google Sheets OAuth2 credentials Grant necessary permissions for spreadsheet access Create a new spreadsheet for sentiment analysis data Configure the sheet name (default: "Sentiment Analysis") 4. Configure Social Media Monitoring Update the websiteUrl parameters in ScrapeGraphAI nodes Add URLs for social media platforms you want to monitor Customize the user prompt to extract specific sentiment data Set up keywords, hashtags, and brand mentions to track 5. Set up Notification Channels Configure Slack webhook or API credentials Set up email service credentials for alerts Define sentiment thresholds for different alert levels Test notification delivery 6. Configure Schedule Trigger Set monitoring frequency (every 15 minutes, hourly, etc.) Choose appropriate time zones for your business hours Consider social media platform rate limits 7. Test and Validate Run the workflow manually to verify all connections Check Google Sheets for proper data formatting Test sentiment analysis with sample content π Workflow Customization Options Modify Monitoring Targets Add or remove social media platforms Change keywords, hashtags, or brand mentions Adjust monitoring frequency based on platform activity Extend Sentiment Analysis Add more sophisticated emotion detection Implement topic clustering and trend analysis Include influencer identification and scoring Customize Alert System Set different thresholds for different sentiment levels Create tiered alert systems (info, warning, critical) Add sentiment trend analysis and predictions Output Customization Add data visualization and reporting features Implement sentiment trend charts and graphs Create executive dashboards with key metrics Add competitor sentiment comparison π Use Cases Brand Reputation Management**: Monitor and respond to brand mentions Crisis Management**: Detect and respond to negative sentiment quickly Customer Feedback Analysis**: Understand customer satisfaction and pain points Product Launch Monitoring**: Track sentiment around new product releases Competitor Analysis**: Monitor competitor sentiment and engagement Influencer Identification**: Find and engage with influential users π¨ Important Notes Respect social media platforms' terms of service and rate limits Implement appropriate delays between requests to avoid rate limiting Regularly review and update your monitoring keywords and parameters Monitor API usage to manage costs effectively Keep your credentials secure and rotate them regularly Consider privacy implications and data protection regulations π§ Troubleshooting Common Issues: ScrapeGraphAI connection errors: Verify API key and account status Google Sheets permission errors: Check OAuth2 scope and permissions Sentiment analysis errors: Review the Code node's JavaScript logic Rate limiting: Adjust monitoring frequency and implement delays Alert delivery failures: Check notification service credentials Support Resources: ScrapeGraphAI documentation and API reference n8n community forums for workflow assistance Google Sheets API documentation for advanced configurations Social media platform API documentation Sentiment analysis best practices and guidelines
by Rahul Joshi
π Description Simplify your social media publishing process by automating post scheduling from Google Sheets directly to Meta (Facebook Pages). π π¬ This workflow detects pending posts, uploads images with captions to your Facebook Page, updates the sheet status, and sends real-time notifications via Slack and email β keeping your marketing team always in sync. π What This Template Does 1οΈβ£ Trigger β Monitors a Google Sheet for new or pending posts every minute. β° 2οΈβ£ Filter β Identifies the latest βpendingβ entry for publishing. π 3οΈβ£ Extract β Captures post details like caption, image URL, and ID. π§Ύ 4οΈβ£ Publish β Uploads the post to your Meta (Facebook) Page using the Graph API. π€ 5οΈβ£ Validate β Confirms success or failure of the post operation. β 6οΈβ£ Notify β Sends instant Slack and email updates on publishing status. π 7οΈβ£ Update β Marks the published post as βCompletedβ in Google Sheets. π Key Benefits β Hands-free publishing from Google Sheets to Meta β Instant Slack and email alerts for post outcomes β Prevents duplicate or failed post uploads β Centralized content tracking and status updates β Improves consistency and speed in social media operations Features Google Sheets trigger for post scheduling Facebook Graph API integration for auto-posting Slack and Outlook notifications for success/error alerts Automatic sheet updates post-publication Error handling and reporting for failed posts Requirements Google Sheets OAuth2 credentials Facebook Page Access Token via Graph API Slack Bot token for notifications Outlook or SMTP credentials for email updates Target Audience Marketing teams managing Facebook content calendars π Social media managers seeking automated posting π£ Agencies coordinating client content delivery π Teams tracking campaign publishing performance π
by Fahmi Fahreza
Create Airtable records from new ClickUp Doc pages This workflow automates the process of turning content from ClickUp Docs into structured data in Airtable. When a new task is created in ClickUp with a link to a ClickUp Doc in its name, this workflow triggers, fetches the entire content of that Doc, parses it into individual records, and then creates a new record for each item in a specified Airtable base and table. Who's it for This template is perfect for content creators, project managers, and operations teams who use ClickUp Docs for drafting or knowledge management and Airtable for tracking and organizing data. It helps bridge the gap between unstructured text and a structured database. How it works Trigger: The workflow starts when a new task is created in a specific ClickUp Team. Fetch & Parse URL: It gets the new task's details and extracts the ClickUp Doc URL from the task name. Get Doc Content: It uses the URL to fetch the main Doc and all its sub-pages from the ClickUp API. Process Content: A Code node parses the text from each page. It's designed to split content by * * * and separate notes by looking for the "notes:" keyword. Find Airtable Destination: The workflow finds the correct Airtable Base and Table IDs by matching the names you provide. Create Records: It loops through each parsed content piece and creates a new record in your specified Airtable table. How to set up Configure the Set Node: Open the "Configure Variables" node and set the following values: clickupTeamId: Your ClickUp Team ID. Find it in your ClickUp URL (e.g., app.clickup.com/9014329600/...). airtableBaseName: The exact name of your target Airtable Base. airtableTableName: The exact name of your target Airtable Table. airtableVerticalsTableName: The name of the table in your base that holds "Vertical" records, which are linked in the main table. Set Up Credentials: Add your ClickUp (OAuth2) and Airtable (Personal Access Token) credentials to the respective nodes. Airtable Fields: Ensure your Airtable table has fields corresponding to the ones in the Create New Record in Airtable node (e.g., Text, Status, Vertical, Notes). You can customize the mapping in this node. Activate Workflow: Save and activate the workflow. Test: Create a new task in your designated ClickUp team. In the task name, include the full URL of the ClickUp Doc you want to process. How to customize the workflow Parsing Logic:* You can change how the content is parsed by modifying the JavaScript in the Parse Content from Doc Pages Code node. For example, you could change the delimiter from * * to something else. Field Mapping:** Adjust the Create New Record in Airtable node to map data to different fields or add more fields from the source data. Trigger Events:** Modify the Trigger on New ClickUp Task node to respond to different events, such as taskUpdated or taskCommentPosted.
by Rahul Joshi
π Description Monitor daily brand visibility and reputation with an automated AI-powered mention tracker. ππ€ This workflow checks Hacker News every morning for new stories matching your brand keyword, classifies each mentionβs sentiment and urgency using GPT-4o-mini, and delivers a clean daily summary to Slack. If no mentions are found, the workflow sends a simple βno mentions todayβ update insteadβensuring your team is always informed without manual monitoring. Perfect for reputation tracking, competitive intelligence, and early warning alerts. ππ¬ π What This Template Does 1οΈβ£ Triggers every morning at 09:00 to begin the analysis. β° 2οΈβ£ Loads brand name + keyword filters from configuration. π·οΈ 3οΈβ£ Fetches relevant mentions from Hacker News using the Algolia API. π 4οΈβ£ Normalizes raw API data into clean fields (title, URL, snippet, author, points). π 5οΈβ£ Classifies each mentionβs sentiment, stance, topic, and urgency using GPT-4o-mini. π€ 6οΈβ£ Builds a ranked daily summary including top 10 mentions and sentiment totals. π 7οΈβ£ Sends the report to Slack, formatted cleanly and ready for team consumption. π¬ 8οΈβ£ If no mentions exist, sends a simple βno new mentions todayβ message. π« 9οΈβ£ Includes an error handler that notifies Slack of any workflow failures. β οΈ β Key Benefits β Automatically tracks brand presence without manual searching β AI-powered sentiment & urgency analysis for deeper insights β Clean Slack summaries keep teams aligned and aware β Early detection of negative or high-urgency mentions β Zero manual monitoring β runs fully on schedule β Suitable for brand monitoring, PR, marketing, and leadership teams π§© Features Daily schedule trigger Hacker News API (Algolia) integration Structured data normalization GPT-4o-mini classification (sentiment, stance, topic, urgency) Slack notifications (detailed report or no-mention message) Error-handling pipeline with Slack alerts Fully configurable brand keywords π Requirements Slack API credentials OpenAI API key (GPT-4o-mini) No authentication required for Hacker News API n8n with LangChain nodes enabled π― Target Audience Brand monitoring & PR teams AI companies tracking public sentiment Founders monitoring mentions of their product Marketing teams watching trends & community feedback
by Oneclick AI Squad
This automated n8n workflow monitors real-time cryptocurrency prices using CoinGecko API and sends smart alerts when price conditions are met. It supports multi-coin tracking, dynamic conditions, and instant notifications via Email, Telegram, and Discord. Good to Know Reads crypto watchlist data from Google Sheets. Monitors prices at defined intervals (24/7 monitoring). Handles upper and lower price limits with direction-based alerts (above, below, both). Implements cooldown logic to avoid duplicate alerts. Updates last alert price and timestamp in Google Sheets. Supports multiple alert channels: Email, Telegram, Discord. Uses CoinGecko API for price data (Free tier supported). How It Works 24/7 Crypto Trigger β Runs every minute (or custom interval) to check latest prices. Read Crypto Watchlist β Fetches symbols and conditions from Google Sheets. Parse Crypto Data β Converts Google Sheet data into structured JSON. Fetch Live Crypto Price β Uses CoinGecko API to get latest market price for each coin. Smart Crypto Alert Logic β Compares live price with upper/lower limits and evaluates conditions: Above β Trigger alert if price > upper\_limit. Below β Trigger alert if price < lower\_limit. Both β Trigger alert if either condition is met. Implements cooldown\_minutes to prevent repeated alerts. Check Crypto Alert Conditions β Validates alerts before sending notifications. Send Crypto Email Alert β Sends email alert if condition is true. Send Telegram Crypto Alert β Sends Telegram alert. Send Discord Crypto Alert β Sends Discord alert. Update Crypto Alert History β Updates last_alert_price and last_alert_time in Google Sheet. Crypto Alert Status Check β Ensures alert process completed successfully. Success Notification β Sends confirmation message on success. Error Notification β Sends an error alert if something fails. Google Sheet Columns (A-G) | Column | Description | | ------ | ---------------------------------- | | A | symbol (BTC, ETH, SOL, etc.) | | B | upper_limit (e.g., 45000) | | C | lower_limit (e.g., 40000) | | D | direction (both / above / below) | | E | cooldown_minutes (e.g., 10) | | F | last_alert_price (auto-updated) | | G | last_alert_time (auto-updated) | How to Use Import the workflow into n8n. Configure Google Sheets credentials and link your watchlist sheet. Add your CoinGecko API endpoint in the Fetch Price node (Free tier). Set up Email, Telegram, and Discord credentials for notifications. Test with sample data: Example: BTC, upper\_limit=45000, lower\_limit=40000, direction=both. Execute the workflow and monitor alerts. Requirements n8n environment with execution permissions. Google Sheets integration (with API credentials). CoinGecko API (Free tier supported). Notification channels: Email (SMTP settings in n8n). Telegram Bot Token. Discord Webhook URL. Customizing This Workflow Add more coins in Google Sheet. Modify alert conditions (e.g., percentage change, moving averages). Add SMS or WhatsApp notifications. Integrate with Slack or Microsoft Teams. Use AI-based price predictions for smarter alerts.
by n8n Automation Expert | Template Creator | 2+ Years Experience
π― Smart Job Hunter Pro - AI-Powered Multi-Platform Job Automation Transform your job search with this comprehensive n8n workflow that automatically searches, analyzes, and applies to relevant positions across multiple job platforms. Perfect for developers, engineers, and tech professionals looking to streamline their job hunting process. β¨ Key Features π Multi-Platform Job Search**: Simultaneously searches Jooble, JobStreet, Indeed, and WhatJobs APIs π€ AI-Powered Job Analysis**: Uses Google Gemini AI to analyze job compatibility and generate tailored cover letters π Smart Scoring System**: Automatically scores job matches based on your skills and requirements π Auto-Apply Threshold**: Only applies to jobs above your specified compatibility score π Notion Integration**: Automatically tracks applications in organized Notion database π¬ Telegram Notifications**: Real-time alerts for high-match job opportunities βοΈ Google Drive Storage**: Saves personalized cover letters for each application β οΈ Error Handling**: Comprehensive error tracking with Telegram notifications β° Automated Scheduling**: Runs every 8 hours to find fresh opportunities π What This Workflow Does Scheduled Search: Automatically searches multiple job platforms every 8 hours Data Normalization: Standardizes job data from different API sources AI Analysis: Gemini AI evaluates each job posting against your skills profile Smart Filtering: Only processes jobs above your compatibility threshold (default: 75%) Application Tracking: Creates detailed records in Notion with match scores and status Instant Alerts: Sends Telegram notifications for promising opportunities Cover Letter Generation: AI creates personalized cover letters for each position Document Management: Automatically saves all cover letters to Google Drive π§ Required Integrations Job APIs**: Jooble API, WhatJobs API (JobStreet & Indeed use web scraping) AI Service**: Google Gemini API for job analysis Productivity**: Notion database for application tracking Communication**: Telegram bot for notifications Storage**: Google Drive for cover letter management π‘ Perfect For Software Developers** seeking JavaScript, React, Node.js positions Full-Stack Engineers** wanting automated job discovery Tech Professionals** needing organized application tracking Remote Workers** searching across multiple platforms Career Changers** looking for systematic job hunting π Customizable Variables Job Keywords**: Define your target roles and skills Location & Radius**: Set geographic search parameters Auto-Apply Threshold**: Control compatibility score requirements Results Limit**: Adjust number of jobs per platform Schedule Frequency**: Modify search intervals π Benefits Save 10+ hours weekly** on manual job searching Never miss opportunities** with automated monitoring Professional application tracking** with detailed analytics Personalized cover letters** for every application Instant notifications** for high-match positions Complete audit trail** of all job search activities π Getting Started Import the workflow to your n8n instance Configure API credentials for all job platforms Set up Notion database with provided template structure Create Telegram bot and Google Drive folder Customize job search parameters for your profile Activate workflow and start receiving opportunities! π Additional Notes Uses placeholder credentials for security ({{PLACEHOLDER_API_KEY}}) Comprehensive error handling prevents workflow failures Includes detailed setup instructions via sticky notes Optimized for Indonesian job market (JobStreet.co.id) Easily adaptable for other regions and job types Perfect for developers, engineers, and automation enthusiasts who want to leverage AI and n8n's power to dominate their job search process! π
by Rahul Joshi
Description: Automate your developer onboarding quality checks with this n8n workflow template. Whenever a new onboarding task is created in ClickUp, the workflow logs it to Google Sheets, evaluates its completeness using Azure OpenAI GPT-4o-mini, and alerts your team in Slack if critical details are missing. Perfect for engineering managers, DevOps leads, and HR tech teams who want to maintain consistent onboarding quality and ensure every developer gets the tools, credentials, and environment setup they need β without manual review. β What This Template Does (Step-by-Step) β‘ Step 1: Auto-Trigger on ClickUp Task Creation Listens for new task creation events (taskCreated) in your ClickUp workspace to initiate the audit automatically. π Step 2: Log Task Details to Google Sheets Records essential task data β task name, assignee, and description β creating a central audit trail for all onboarding activities. π§ Step 3: AI Completeness Analysis (GPT-4o-mini) Uses Azure OpenAI GPT-4o-mini to evaluate each onboarding task for completeness across key areas: Tooling requirements Credential setup Environment configuration Instruction clarity Outputs: β Score (0β100) β οΈ List of Missing Items π‘ Suggestions for Improvement π¦ Step 4: Apply Quality Gate Checks whether the AI-generated completeness score is below 80. Incomplete tasks automatically move to the alert stage for review. π’ Step 5: Alert Team via Slack Sends a structured Slack message summarizing the issue, including: Task name & assignee Completeness score Missing checklist items Recommended next actions This ensures your team fixes incomplete onboarding items before they impact new hires. π§ Key Features π€ AI-driven task completeness scoring π Automatic task logging for audit visibility βοΈ Smart quality gate (score threshold < 80) π’ Instant Slack alerts for incomplete tasks π End-to-end automation from ClickUp to Slack πΌ Use Cases π Audit onboarding checklists for new developers π§© Standardize environment setup and credential handover π¨ Identify missing steps before onboarding deadlines π Maintain onboarding consistency across teams π¦ Required Integrations ClickUp API β to detect new onboarding tasks Google Sheets API β to store audit logs and history Azure OpenAI (GPT-4o-mini) β to evaluate completeness Slack API β to alert the team on incomplete entries π― Why Use This Template? β Ensures every new developer receives a full, ready-to-start setup β Eliminates manual checklist verification β Improves onboarding quality and compliance tracking β Creates a transparent audit trail for continuous improvement