Workflow Templates

How it works Continuous monitoring**: Real-time surveillance of supplier performance, financial health, and operational status Risk scoring**: AI-powered assessment of supplier risks across multiple dimensions (financial, operational, geopolitical) Automated alerts**: Instant notifications when supplier risk levels exceed predefined thresholds Contingency activation**: Automatic triggering of backup suppliers and alternative sourcing plans Set up steps Supplier database**: Connect your ERP/procurement system with complete supplier information Financial data sources**: Integrate with credit monitoring services (Dun & Bradstreet, Experian) News monitoring**: Configure news APIs for real-time supplier-related news tracking Performance metrics**: Set up KPIs tracking (delivery times, quality scores, compliance) Alert systems**: Configure Slack, Teams, or email notifications for risk alerts Backup protocols**: Define alternative supplier activation procedures Key Features 🔍 360° supplier visibility**: Complete view of supplier ecosystem health and performance ⚡ Real-time risk detection**: Immediate identification of potential supply chain disruptions 📊 Predictive analytics**: Forecasting potential supplier issues before they impact operations 🚨 Automated escalation**: Risk-based alert system with appropriate stakeholder notifications 📈 Performance benchmarking**: Continuous comparison against industry standards and peers 🔄 Contingency management**: Automated backup supplier activation and procurement rerouting 🌍 Geopolitical monitoring**: Tracking of regulatory changes and political risks by region 💰 Cost impact analysis**: Financial impact assessment of supplier disruptions Risk categories monitored Financial stability**: Credit scores, payment delays, bankruptcy indicators Operational performance**: Delivery reliability, quality metrics, capacity utilization Compliance status**: Regulatory adherence, certifications, audit results Geopolitical risks**: Political instability, trade restrictions, regulatory changes Environmental factors**: Natural disasters, climate risks, sustainability metrics Cyber security**: Security breaches, data protection compliance Automated responses Low risk (0-30)**: Routine monitoring and performance tracking Medium risk (31-60)**: Enhanced monitoring with supplier engagement High risk (61-80)**: Immediate supplier contact and mitigation planning Critical risk (81-100)**: Emergency protocols and backup supplier activation Integration capabilities ERP systems**: SAP, Oracle, Microsoft Dynamics for procurement data Risk platforms**: Resilinc, Riskmethods, Prewave for specialized risk intelligence Financial services**: Credit monitoring and financial health assessment News APIs**: Real-time news monitoring and sentiment analysis Communication tools**: Slack, Teams, email for stakeholder notifications This workflow provides comprehensive supply chain visibility and proactive risk management, enabling companies to maintain operational continuity while minimizing disruption costs.

How it works Regulatory monitoring**: Continuously tracks changes in laws, regulations, and compliance requirements across multiple jurisdictions Contract analysis**: AI-powered review of existing contracts to identify compliance gaps and risks Automated alerts**: Real-time notifications when regulatory changes affect your contracts or business operations Compliance reporting**: Generates audit-ready reports and documentation for regulatory compliance Set up steps Legal databases**: Connect to legal research platforms (Westlaw, LexisNexis, EUR-Lex) Contract repository**: Integrate with your contract management system or document storage Regulatory feeds**: Configure government and regulatory body RSS feeds and APIs AI legal analysis**: Set up OpenAI or specialized legal AI for contract analysis Compliance calendar**: Integrate with calendar systems for deadline tracking Audit trail**: Configure logging and documentation systems for compliance records Key Features 🔍 Multi-jurisdiction monitoring**: Tracks regulatory changes across different countries and regions 📊 Risk assessment**: Automatically scores compliance risks and potential impact ⚡ Real-time alerts**: Instant notifications when regulations affecting your business change 📋 Gap analysis**: Identifies discrepancies between current contracts and new requirements 🤖 AI-powered analysis**: Uses natural language processing to understand legal text 📈 Compliance dashboard**: Visual overview of compliance status across all contracts 🔄 Automated remediation**: Suggests contract amendments and compliance actions 📱 Mobile notifications**: Critical compliance alerts on mobile devices Compliance areas monitored Data protection**: GDPR, CCPA, and other privacy regulations Financial services**: Banking regulations, securities law, anti-money laundering Healthcare**: HIPAA, medical device regulations, pharmaceutical compliance Employment law**: Labor regulations, workplace safety, discrimination laws Environmental**: ESG requirements, environmental protection regulations Industry-specific**: Sector-specific regulations and standards Contract types supported Vendor agreements**: Supplier contracts and service agreements Employment contracts**: Employee agreements and contractor terms Data processing agreements**: Privacy and data handling contracts Customer agreements**: Terms of service and customer contracts Partnership agreements**: Joint ventures and strategic partnerships Licensing agreements**: Software licenses and intellectual property Automated responses Low risk (0-30)**: Routine monitoring and documentation Medium risk (31-60)**: Enhanced review and stakeholder notification High risk (61-80)**: Immediate legal review and action planning Critical risk (81-100)**: Emergency legal intervention and compliance measures Integration capabilities Legal research**: Westlaw, LexisNexis, Bloomberg Law Document management**: SharePoint, Google Drive, Dropbox Contract systems**: DocuSign, PandaDoc, ContractWorks Communication tools**: Slack, Teams, email for legal team alerts Calendar systems**: Outlook, Google Calendar for compliance deadlines This workflow ensures continuous legal compliance by monitoring regulatory changes and automatically assessing their impact on your contracts and business operations.

📄 Automated Lease Renewal Offer by Email ✅ Features Automated Lease Offer Generation using AI (Ollama model). Duplicate File Check to avoid reprocessing the same customer. Personalized Offer Letter creation based on customer details from Supabase. PDF/Text File Conversion for formatted output. Automatic Google Drive Management for storing and retrieving files. Email Sending with generated offer letter attached. Seamless Integration with Supabase, Google Drive, Gmail, and AI LLM. ⚙️ How It Works Trigger: Workflow starts on form submission with customer details. Customer Lookup: Searches Supabase for customer data. Updates customer information if needed. File Search & Duplication Check: Looks for existing lease offer files in Google Drive. If duplicate found, deletes old file before proceeding. AI Lease Offer Creation: Uses the LLM Chain (offerLetter) to generate a customized lease renewal letter. File Conversion: Converts AI-generated text into a downloadable file format. Upload to Drive: Saves the new lease offer in Google Drive. Email Preparation: Uses Basic LLM Chain-email to draft the email body. Downloads the offer file from Drive and attaches it. Email Sending: Sends the renewal offer email via Gmail to the customer. 🛠 Setup Steps Supabase Connection: Add Supabase credentials in n8n. Ensure a customers table exists with relevant columns. 🔜Future Steps Add specific letter template (organization template). PDF offer letter

How it works: This project creates a personal AI knowledge assistant that operates through Telegram. The assistant can extract summaries from YouTube videos or online articles, store them in Google Sheets for later reference, and retrieve stored summaries when requested by the user. Step-by-step: Google Sheets Trigger:* The workflow starts by detecting a new YouTube or article URL added to a dedicated sheet (Sheet2*). It checks whether the link is already processed. Link Type Detection:** The system identifies if the URL is from YouTube or a standard article. Data Retrieval:** If it’s YouTube: Uses Apify to fetch the transcript. If it’s an article: Uses an HTTP Request node to fetch the webpage content. AI Summarization:* The transcript or article content is passed to *Google Gemini** for refined summarization. Google Sheets Storage:* The summary and title are appended to another sheet (Sheet1*) for long-term storage, along with a “Stored” status update in Sheet2. Telegram Assistant:** A Telegram Trigger listens for messages from the user. The assistant searches stored summaries in Google Sheets. If a match is found, it returns the result to the user on Telegram; otherwise, it politely apologizes.

This n8n automation lets you build a complete AI-powered task management system that integrates Telegram, Google Sheets, and GPT-4o mini to help users easily manage to-do lists and receive daily task reminders. Users can interact with the system via Telegram, while the AI assistant (powered by GPT-4o mini) processes commands naturally, updates a central Google Sheet, and ensures scheduled reminders are sent for pending tasks. ✨ Key Features ✅ Add, list, update, complete, or delete tasks via Telegram ✅ AI-powered conversational responses using GPT-4o ✅ All tasks stored and synced in Google Sheets ✅ Daily scheduled task summary and pending reminders sent to Telegram ✅ Friendly, human-like assistant responses ✅ Fully configurable and easy to set up 🛠️ Workflow Functionality Breakdown 1. User Interacts on Telegram Sends commands like: add buy groceries list tasks complete submit report delete dentist appointment 2. AI-Powered Processing A GPT-4o agent processes user messages Ensures clear, friendly responses Determines task intent: add, update, delete, list, complete 3. Google Sheets Sync Every operation is logged to Google Sheets Google Sheets acts as the master task database Sheet structure includes: Task Status (pending or done) Created At (timestamp) Due Date (optional) Notes (optional) 4. Scheduled Daily Task Summary At 9 PM daily, the workflow: Fetches tasks from Google Sheets Generates a warm, conversational summary via GPT-4o Sends the summary to the user on Telegram 5. Automated Reminders Checks for pending tasks due today Sends reminder messages to Telegram ✅ Prerequisites Before setting up the workflow, ensure you have: ✔️ An n8n instance (Cloud or self-hosted) ✔️ A Telegram Bot Token ✔️ Access to Google Sheets API (OAuth2 credentials) ✔️ An OpenAI API Key with GPT-4o access ✔️ A Google Sheet structured as per the specification below 📝 Google Sheet Structure Your Google Sheet should have the following columns: | Column Name | Description | | -------------- | ---------------------------------------------------- | | Task | Short task description | | Status | pending or done | | Created At | Date & time task was created (YYYY-MM-DD HH:mm:ss) | | Due Date | (Optional) When task is due (YYYY-MM-DD HH:mm:ss) | | Notes | (Optional) Additional details | Important: The first row should be the header row with these exact column names. 🔧 Setup Instructions 1. Telegram Bot Setup Create a bot via BotFather Obtain the Bot Token Connect Telegram Trigger and Telegram Send nodes using your Bot Token in n8n 2. Google Sheets API Setup Follow n8n Google Sheets integration guide Set up OAuth2 credentials Provide access to your task Google Sheet 3. OpenAI API Setup Obtain an API key from OpenAI Ensure GPT-4o mini access is enabled Add OpenAI credentials to relevant nodes 4. Sheet Linking Replace the Google Sheet ID in the workflow with your own Confirm sheet names and column structure match exactly 5. Schedule Configuration (Optional) Adjust the daily summary time (Schedule Trigger node) as desired ⚙️ Configuration Options 🔧 Adjust AI prompt instructions for tone/style 🔧 Change reminder times in the schedule trigger 🔧 Customize Google Sheet columns if needed (update mappings accordingly) 🔧 Add multi-user support with chat ID checks (advanced) 📂 Files Included Full n8n JSON workflow ready to import 💡 Tips You can extend this with Slack, WhatsApp, or Email reminders Combine with Notion, ClickUp, or CRM integrations for more powerful task management Consider adding a "Priority" column for advanced sorting Ready to stay organized with AI-powered task management? Import this workflow, link your accounts, and your Telegram assistant is good to go! 🚀

Who this is for The Crunchbase B2B Lead Discovery Pipeline is designed for sales teams, B2B marketers, business analysts, and data operations teams who need a reliable way to extract, structure, and summarize company information from Crunchbase to fuel lead generation and market intelligence. This workflow is ideal for: Sales Development Reps (SDRs) - Needing structured leads from Crunchbase Marketing Analysts - Generating segmented outreach lists Growth Teams - Identifying trending B2B startups RevOps Teams - Automating company research pipelines Data Teams - Consolidating insights into Google Sheets for dashboards What problem is this workflow solving? Manual extraction of company data from Crunchbase is time-consuming, inconsistent, and often lacks the contextual summary required for sales enablement or growth targeting. This workflow automates the extraction, transformation, summarization, and delivery of Crunchbase company data into structured formats, making it instantly usable for B2B targeting and analysis. It solves: The difficulty of scaling lead discovery from Crunchbase The need to summarize raw textual content for quick insights The lack of integration between web scraping, LLM processing, and storage What this workflow does Markdown to Textual Data Extractor**: Takes raw scraped markdown from Crunchbase and converts it into readable plain text using a basic LLM chain Structured Data Extraction**: Applies a parsing model (OpenAI) to extract structured fields such as company name, funding rounds, industry tags, location, and founding year Summarization Chain**: Generates an executive summary from the raw Crunchbase text using a summarization prompt template Send to Google Sheets**: Adds the structured data and summary into a Google Sheet for team access and further processing Persist to Disk**: Saves both raw and structured data files locally for archiving or further use Webhook Notification**: Sends a structured payload to a webhook endpoint (e.g., Slack, CRM, internal tools) with lead insights Pre-conditions You need to have a Bright Data account and do the necessary setup as mentioned in the "Setup" section below. You need to have an OpenAI Account. Setup Sign up at Bright Data. Navigate to Proxies & Scraping and create a new Web Unlocker zone by selecting Web Unlocker API under Scraping Solutions. In n8n, configure the Header Auth account under Credentials (Generic Auth Type: Header Authentication). The Value field should be set with the Bearer XXXXXXXXXXXXXX. The XXXXXXXXXXXXXX should be replaced by the Web Unlocker Token. In n8n, Configure the Google Sheet Credentials with your own account. Follow this documentation - Set Google Sheet Credential In n8n, configure the OpenAi account credentials. Ensure the URL and Bright Data zone name are correctly set in the Set URL, Filename and Bright Data Zone node. Set the desired local path in the Write a file to disk node to save the responses. How to customize this workflow to your needs LLM Prompt Customization : Modify the extraction prompt to include additional fields like revenue, social links, leadership team Adjust summarization tone (e.g., executive summary, sales-focused snapshot or marketing digest) File Persistence Store raw markdown, extracted JSON, and summary text separately for audit/debug Webhook Notification Connect to CRM (e.g., HubSpot, Salesforce) via webhook to automatically create leads Send Slack notifications to alert sales reps when a new high-potential company is discovered

🎙️ VoiceScribe AI: Telegram Audio Message Auto Transcription with OpenAI Whisper > Automatically transcribe Telegram voice messages and store them as structured logs in Google Sheets, while backing up the audio in Google Drive. 🧑‍💼 Who’s it for Journalists, content creators, or busy professionals who often record voice memos or short interviews on the go. Anyone who wants to turn voice recordings into searchable, structured notes. ⚙️ How it works / What it does User sends a voice message to a Telegram bot. n8n checks if the message is an audio voice note. If valid, it downloads the audio file and: Transcribes it using OpenAI Whisper (or your LLM of choice). Uploads the original audio to Google Drive for safekeeping. The transcript and audio metadata are merged. The workflow: Logs the data into a Google Sheet. Sends a formatted confirmation message to the user via Telegram. If the input is not audio, the bot politely informs the user that only voice messages are accepted. ✅ Features Accepts only Telegram voice messages. Transcribes via OpenAI Whisper. Logs DateTime, Duration, Transcript, and Audio URL to Google Sheets. Sends user feedback message via Telegram with download + transcript link. 🚀 How to set up Prerequisites Telegram Bot connected to n8n (via Telegram Trigger) Google Drive & Google Sheets credentials configured OpenAI or Whisper API credentials (for transcription) Steps Telegram Trigger Start the flow when a new message is sent to your bot. Check Message Type Use a conditional node to confirm it's a voice message. Download Voice Message Download the .oga file from Telegram. Transcribe Audio Send the binary audio to OpenAI Whisper or your transcription service. Upload to Google Drive Backup the original audio file. Merge Outputs Combine transcription with Drive metadata. Transform to Row Format Prepare structured JSON for Google Sheets. Append to Google Sheet Store the transcript log (DateTime, Duration, Transcript, AudioURL). Send Confirmation to User Inform the user via Telegram with their transcript and download link. Unsupported Message Handler Reply to users who send non-audio messages. 📄 Example Output in Google Sheet | DateTime | Duration | Transcript | AudioURL | |-----------------------|----------|--------------------------------------------|------------------------------------------------------------| | 2025-08-07T13:12:19Z | 27 | Dự án Outlet Activation là... | https://drive.google.com/uc?id=xxxx&export=download | 🧠 How to customize the workflow Swap Whisper with Deepgram, AssemblyAI, or other providers. Add speaker name detection or prompt-based tagging via GPT. Route transcripts into Notion, Airtable, or CRM systems. Add multi-language support or summarization steps. 📦 Requirements | Component | Required | |---------------------|----------| | Telegram API | ✅ | | Google Drive API | ✅ | | Google Sheets API | ✅ | | OpenAI Whisper API | ✅ | | n8n Cloud or Self-hosted | ✅ | Created with ❤️ using n8n

This n8n workflow automates replying to Google Play Store reviews using AI. It analyzes each review’s sentiment and tone and posts a human-like response — saving time for indie devs, founders, and PMs managing multiple apps. 💡 Use Cases Respond to reviews at scale without sounding robotic Prioritize negative sentiment feedback Maintain consistent tone and support messaging Free up time for teams to focus on product instead of ops 🧠 How it works Uses the Play Store API to fetch new app reviews Filters out reviews that have already been replied to Analyzes sentiment using OpenAI GPT-4o Passes sentiment and review context to an AI Agent node that crafts a reply Replies are posted to Play Store via Google API (Optional) Logs the reply to Slack for visibility 🛠️ Setup Instructions (Sticky notes included in the workflow) 1. HTTPS Node Replace the package name with your app’s package ID Add Google Service Account credentials → Create from Google Cloud Console with access to Play Console → Add to n8n Credential Manager 2. OpenAI Node Add your OpenAI API key → GPT-4o or GPT-4o mini supported → Customize model or instructions if needed 3. AI Agent Node Modify prompt to reflect your app name, tone, and feature set → E.g. polite, witty, casual, support-friendly, etc. → You can add reply conditions or logic for different types of reviews 4. Slack Node (Optional) Configure Slack Webhook or OAuth credentials if you want reply logs → Otherwise, delete the node to simplify the workflow ⚡ Requirements Google Play Developer Console access Google Cloud Project with service account OpenAI account (GPT-4o or mini) (Optional) Slack workspace & app for logging 🙌 Don’t want to set this up yourself? I’ll do it for you. Just drop me an email: imarunavadas@gmail.com Let’s automate the boring stuff so you can focus on growth. 🚀

Who this is for This workflow is for sales people who want to quickly and efficiently follow up with their leads What this workflow does This workflow starts every time a new reply is received in lemlist. It then classifies the response using openAI and creates the correct follow up task. The follow-up tasks currently include: Slack alerts when a lead for each new replies Tag interested leads in lemlist Unsubscription of leads when they request it The Slack alerts include: Lead email address Sender email address Reply type (positive, not interested...etc) A preview of the reply Setup To set this template up, simply follow the stickies steps in it How to customize this workflow to your needs Adjust the follow up tasks to your needs Change the Slack notification to your needs ...

Who this is for The TrustPilot SaaS Product Review Tracker is designed for product managers, SaaS growth teams, customer experience analysts, and marketing teams who need to extract, summarize, and analyze customer feedback at scale from TrustPilot. This workflow is tailored for: Product Managers** - Monitoring feedback to drive feature improvements Customer Support & CX Teams** - Identifying sentiment trends or recurring issues Marketing & Growth Teams** - Leveraging testimonials and market perception Data Analysts** - Tracking competitor reviews and benchmarking Founders & Executives** - Wanting aggregated insights into customer satisfaction What problem is this workflow solving? Manually monitoring, extracting, and summarizing TrustPilot reviews is time-consuming, fragmented, and hard to scale across multiple SaaS products. This workflow automates that process from unlocking the data behind anti-bot layers to summarizing and storing customer insights enabling teams to respond faster, spot trends, and make data-backed product decisions. This workflow solves: The challenge of scraping protected review data (using Bright Data Web Unlocker) The need for structured insights from unstructured review content The lack of automated delivery to storage and alerting systems like Google Sheets or webhooks What this workflow does Extract TrustPilot Reviews: Uses Bright Data Web Unlocker to bypass anti-bot protections and pull markdown-based content from product review pages Convert Markdown to Text: Leverages a basic LLM chain to clean and convert scraped markdown into plain text Structured Information Extraction: Uses OpenAI GPT-4o via the Information Extractor node to extract fields like product name, review date, rating, and reviewer sentiment Summarization Chain: Generates concise summaries of overall review sentiment and themes using OpenAI Merge & Aggregate Output: Consolidates individual extracted records into a structured batch output Outbound Data Delivery: Google Sheets – Appends summary and structured review data Write to Disk – Persists raw and processed content locally Webhook Notification – Sends a real-time alert with summarized insights Pre-conditions You need to have a Bright Data account and do the necessary setup as mentioned in the "Setup" section below. You need to have an OpenAI Account. Setup Sign up at Bright Data. Navigate to Proxies & Scraping and create a new Web Unlocker zone by selecting Web Unlocker API under Scraping Solutions. In n8n, configure the Header Auth account under Credentials (Generic Auth Type: Header Authentication). The Value field should be set with the Bearer XXXXXXXXXXXXXX. The XXXXXXXXXXXXXX should be replaced by the Web Unlocker Token. In n8n, Configure the Google Sheet Credentials with your own account. Follow this documentation - Set Google Sheet Credential In n8n, configure the OpenAi account credentials. Ensure the URL and Bright Data zone name are correctly set in the Set URL, Filename and Bright Data Zone node. Set the desired local path in the Write a file to disk node to save the responses. How to customize this workflow to your needs Target Multiple Products : Configure the Bright Data input URL dynamically for different SaaS product TrustPilot URLs Loop through a product list and run parallel jobs for each Customize Extraction Fields : Update the prompt in the Information Extractor to include: Review title Response from company Specific feature mentions Competitor references Tune Summarization Style Change tone**: executive summary, customer pain-point focus, or marketing quote extract Enable sentiment aggregation** (e.g., 30% negative, 50% neutral, 20% positive) Expand Output Destinations Push to Notion, Airtable, or CRM tools using additional webhook nodes Generate and send PDF reports (via PDFKit or HTML-to-PDF nodes) Schedule summary digests via Gmail or Slack

Automatically scrape Meta Threads for posts hiring specific roles (e.g. automation engineers, video editors, graphic designers), filter true hiring intent, deduplicate, and send alerts. We are taking automation roles as an example for now. What it does This workflow continuously scans Threads for fresh posts mentioning the roles you care about. It uses AI to filter out self-promotion and service ads, keeping only posts where the author is hiring. Qualified posts are saved into Google Sheets for tracking and sent to Telegram for instant alerts. It’s ideal for freelancers, agencies, and job seekers who want a steady radar of opportunities. How it works (Step by Step) Schedule trigger – Runs on a set interval (e.g. every 12 hours). Scrape Threads posts – Fetches recent posts from multiple keywords (e.g., “n8n expert”, “hire video editor”, “graphic designer”, etc.) via Apify. Merge results – Combines posts into a single stream. Normalize fields – Maps raw data into clean fields: text, author, URL, timestamp, profile link. AI filter – Uses an AI Agent to: Accept only posts where someone is hiring (rejects “hire me” style self-promo). Apply simple geography rules (e.g., allow US, UK, UAE, CA; pass unknowns). Exclude roles outside your scope. Deduplication – Checks Google Sheets to skip posts already seen. Save to Google Sheets – Writes qualified posts with full details. Telegram alerts – Sends you the matched post instantly so you can act. Who it’s for Freelancers: Get first dibs on gigs before others spot them. Agencies: Build a client pipeline by tracking hiring signals. Job seekers: Spot hidden opportunities in your target field. Customization Ideas Swap keywords to monitor roles you care about (e.g., “UI/UX designer”, “motion graphics editor”, “copywriter”). Add Slack or Discord notifications instead of Telegram. Expand geo rules to match your region. Use Sheets as a CRM—add columns for status, outreach date, etc

Automatically scrape X (Twitter) for posts hiring specific roles (e.g., automation engineers, video editors, graphic designers), filter true hiring intent with AI, deduplicate in Google Sheets, and alert via Telegram. What it does Pulls recent X/Twitter posts for multiple role keywords via Apify. Normalizes each post (text, author, links, location). Uses an AI Agent to keep only posts where the author is hiring (not self-promo). Checks Google Sheets for duplicates by URL before saving. Writes qualified posts to a sheet and sends a Telegram notification. We are using n8n automation roles as the example here How it works (Step by Step) Schedule Trigger – Runs on an interval (currently every 12 hours). Scrape X/Twitter – Apify tweet-scraper fetches up to 50 latest posts for keywords like: n8n developer, looking for n8n, n8n expert, hire AI automation, looking for AI automation. Normalize Fields – Set node maps to: url, text, author.userName, author.url, author.location. AI Filter & Dedupe Check Accept only clear hiring posts for n8n/AI automation roles (reject self-promotion). Queries Google Sheets to see if url already exists; duplicates are dropped. Gate – IF node passes only non-empty AI outputs. Parse JSON Safely – Code node extracts/validates JSON from the AI output. Save to Google Sheets – Appends/updates a row (matching on url). Telegram Alert – Sends a message with the tweet URL, author, location, and text. Who it’s for Freelancers, agencies, and job seekers who want a steady radar of real hiring posts for their target roles. Customization Ideas Swap keywords to track other roles (video editors, designers, copywriters, etc.). Add Slack/Discord notifications. Extend the AI rules (e.g., different geographies or role scopes). Treat the sheet as a mini-CRM (status, outreach date, notes).