Binance SM price-24hrStats-OrderBook-Kline tool
A powerful sub-agent that collects real-time market structure data from Binance for any trading pair โ including price, volume, order book depth, and candlestick snapshots across multiple timeframes (15m, 1h, 4h, 1d). --- ๐ฅ Watch Tutorial: [](https://youtu.be/HWHD-eXP0IE) ๐ฏ Purpose This workflow powers the Quant AI system with: โ Real-time price feed (/ticker/price) โ 24-hour stats (OHLC, % change, volume via /ticker/24hr) โ Live order book depth (/depth) โ Latest candlestick data (/klines) for all major intervals All outputs are parsed and formatted using GPT and returned to the parent agent (e.g., Financial Analyst Tool) as a Telegram-optimized summary. --- โ๏ธ Workflow Architecture | Node | Role | | ------------------------------------ | ------------------------------------------------------------ | | ๐ Execute Workflow Trigger | Accepts input from parent workflow | | ๐ง Simple Memory | Stores session + symbol info | | ๐ค Binance SM Market Agent | Parses prompt, routes tool calls | | ๐ก OpenAI Chat Model (gpt-4o-mini) | Converts raw data into a clean, readable format for Telegram | | ๐ getCurrentPrice | Gets latest price | | ๐ get24hrStats | Gets OHLC/volume over past 24 hours | | ๐ getOrderBook | Gets top 100 bids and asks | | ๐ getKlines | Gets latest 15m, 1h, 4h, and 1d candles | --- ๐ฅ Input Requirements This workflow is not called directly by the user. Instead, it is triggered by another workflow, such as: json { "message": "BTCUSDT", "sessionId": "539847013" } --- ๐ค Telegram Output Example ๐ BTCUSDT Market Overview ๐ฐ Price: $63,220 ๐ 24h Change: +2.3% | Volume: 45,210 BTC ๐ Order Book โข Top Bid: $63,190 โข Top Ask: $63,230 ๐ฐ๏ธ Latest Candles โข 15m: O: $63,000 | C: $63,220 | Vol: 320 BTC โข 1h : O: $62,700 | C: $63,300 | Vol: 980 BTC โข 4h : O: $61,800 | C: $63,500 | Vol: 2,410 BTC โข 1d : O: $59,200 | C: $63,220 | Vol: 7,850 BTC --- โ Use Cases | Scenario | Output Provided | | ---------------------------------- | ------------------------------------------------------------ | | โShow current BTC price and trendโ | Price, 24h stats, candles, and order book in one message | | โCandles for SOLโ | 15m, 1h, 4h, 1d candlesticks for SOLUSDT | | Triggered by Quant AI system | Clean Telegram-ready summary with all structure tools merged | --- ๐งฉ Toolchain Breakdown | Tool Name | Endpoint | Purpose | | ----------------- | ---------------------- | ------------------------------ | | getCurrentPrice | /api/v3/ticker/price | Latest trade price | | get24hrStats | /api/v3/ticker/24hr | 24h OHLC, % change, volume | | getOrderBook | /api/v3/depth | Top 100 bids and asks | | getKlines | /api/v3/klines | 1-candle snapshot across 4 TFs | --- ๐ Installation Steps Import the JSON into your n8n instance Connect your OpenAI credentials for the Chat Model node No Binance API key needed โ public endpoints Trigger this tool only via: Binance SM Financial Analyst Tool Binance Spot Market Quant AI Agent --- ๐ Licensing & Attribution ยฉ 2025 Treasurium Capital Limited Company Architecture, prompts, and trade structure are IP-protected. No unauthorized rebranding permitted. ๐ For support: Don Jayamaha โ LinkedIn
By Don Jayamaha JrSmart job search: resume scoring & tailoring with OpenAI, Apify, and Airtable
Who is this for? This workflow is designed for job seekers who want to automate their job application research and resume optimization. It's ideal for professionals who want to match their CVs to new job postings daily, improving the chance of landing interviews without manual work. Use case Problem: Manually searching for jobs, matching resumes, and updating application records is time-consuming and inefficient. Use Case: Automatically fetches new job listings based on user preferences, scores them against the user's existing CV, generates a revamped CV tailored for each job, and stores everything neatly into an Airtable database for easy tracking. What this workflow does? Fetches user job preferences from Google Sheets daily. Searches for jobs matching those preferences using Apifyโs scraping. Filters job posts that are fresh (posted within 24-48 hours). Scores each job against the userโs current CV using an OpenAI agent. Generates a revamped CV tailored to each job. Stores the job listing, compatibility score, match reason, and revamped CV into Airtable for future use. API Credentials Required Google Sheets API Credentials โ for reading user-defined job preferences. Apify API Key โ to scrape job postings (e.g., Indeed Scraper Actor). OpenAI API Key โ for AI scoring and CV enhancement. Airtable API Key โ for job listing and tracking. Setup Google Sheets: Store your job preferences (like titles, locations, etc.). Apify API: Set up a scraper for LinkedIn, Indeed, or other job boards. OpenAI API: Provide access to a GPT model (ideally GPT-4 Turbo) to handle CV scoring and revamping. Airtable: Create two tables: One for archived jobs (old jobs >48 hours). One for current processed jobs with AI scores and revamped CVs. Columns for Airtable: jobtitle,company,location,dateposted,job_type,description,link,compatibilityScore,matcReason,revampedCV,newCompatibilityScore,newMatchReason. n8n: Deploy the full workflow with nodes for triggers, loops, API calls, parsing, and storage. How to customize it for your needs Edit Job Preferences: Add or update the fields in Google Sheets (Columns: jobtitle, joblocation) to search. Fine-tune AI Prompts: Adjust the scoring criteria (e.g., favor remote roles, leadership experience, certifications). Customize CV Style: Configure the AI to generate shorter, more detailed, or industry-specific resumes. Change Storage Destination: Replace Airtable with Notion, Google Sheets, a CRM system, or even send yourself Slack updates. Expand Job Sources: Easily swap the job scraper to pull listings from your favorite niche job boards. Why Use This Template? Saves 10+ hours/week on manual job search. Instantly tailor CVs to each application. Centralizes all data across Google Sheets and Airtable. Flexible โ customize AI prompts, scoring logic, or expand to multiple users! Need Assistance? For setup guidance, customization, or business inquiries, Email: phoenixaiagentsolutions@gmail.com
By Ashish Kumar SwainAutomated Zoho Inventory to Supabase product data pipeline
Description This powerful n8n automation template enables seamless synchronization between Zoho Inventory and Supabaseโkeeping your product database up to date with zero manual effort. Whether youโre running an eCommerce store, inventory dashboard, or product catalog app, this workflow ensures your data pipeline stays clean, consistent, and fully automated. What This Template Does: ๐ Runs on a schedule to fetch inventory data from Zoho ๐ Authenticates via OAuth using refresh token for secure API access ๐ฆ Fetches products & variants with complete metadata ๐ Splits each item and maps it into Supabase row-by-row ๐ Pushes rich product data, including name, SKU, unit, tags, stock levels, dimensions, and up to 3 custom attributes Fields Included in Sync: Product ID, Variant ID, Variant Name, Brand, SKU Returnability, Item Type, Unit, Attributes (1โ3) Tags, Stock on Hand, UPC/EAN/ISBN, Status Reorder Level, Dimensions, Created Time, and more Requirements: Zoho Inventory API access (with Refresh Token) Supabase account & API key Target table (e.g., Fairy Frills) set up in Supabase Optional: Custom field mapping for additional use cases Perfect For: Inventory managers syncing Zoho to custom dashboards D2C brands and eCommerce platforms powered by Supabase Internal tooling teams needing a real-time product database sync Startups replacing spreadsheets with a production-grade backend
By Rahul JoshiExtract specific pages from PDFs with CustomJS API
This n8n template shows how to extract selected pages from a generated PDF with the PDF Toolkit by www.customjs.space. @custom-js/n8n-nodes-pdf-toolkit Notice Community nodes can only be installed on self-hosted instances of n8n. What this workflow does Downloads each PDF using an HTTP Request. Extract pages from the PDF file as needed. Requirements Self-hosted n8n instance CustomJS API key for extracting PDF files. PDF files to be merged to be converted into a PDF Workflow Steps: Manual Trigger: Runs with user interaction. Download PDF File: Pass urls for PDF files to merge. Extract Pages from PDF: Extract selected pages from a generated PDF --- Usage Get API key from customJS Sign up to customJS platform. Navigate to your profile page Press "Show" button to get API key Set Credentials for CustomJS API on n8n Copy and paste your API key generated from CustomJS here. Design workflow A Manual Trigger for starting workflow. HTTP Request Nodes for downloading PDF files. Extract Pages from PDF. You can replace logic for triggering and returning results. For example, you can trigger this workflow by calling a webhook and get a result as a response from webhook. Simply replace Manual Trigger and Write to Disk nodes. Perfect for Taking a note of specific pages from PDF files. Splitting PDF file into multiple parts.
By CustomJSEnhance AI chatbot responses with InfraNodus knowledge graph reasoning
Augment AI chatbot prompts with a knowledge graph reasoning ontology and improve the quality of responses with Graph RAG. In this workflow, we augment the original prompt using the InfraNodus GraphRAG system that will extract a reasoning ontology from a graph that you create (or that you can copy from our repository of public graphs). This additional reasoning logic will improve the user's prompt and make it more descriptive and closely related to the logic you want to use. As the next step, you can send it back to the same graph to generate a high-quality response using Graph RAG or to another graph (or AI model) to apply one type of knowledge in a completely different field. How it works Receives a request from a user (via n8n or a publicly available URL chat bot, you can also connect it to Telegram Sends the request to the knowledge graph in your InfraNodus account that contains a reasoning ontology represented as a knowledge graph. Reformulates the original prompt to include the reasoning logic provided. Sends the request to the knowledge graph in your InfraNodus account (same as the previous one or a new one for cross-disciplinary research) to retrieve a high-quality response using GraphRAG Special sauce: InfraNodus will build a graph from your augmented prompt, then overlap it on the knowledge graph you want to inquire, traverse this graph based on the overlapped parts and extended relations, then retrieve the necessary part of the graph and include it in the context to improve the quality of your response. This helps InfraNodus grasp the relations and nuances that are not usually available through standard RAG. How to use โข Just get an InfraNodus API key and add it into your Prompt Augmentation and Knowledge Base InfraNodus HTTP nodes for authentication โข Then provide the name of the graphs you want to be using for prompt augmentation and retrieval. Note, these can be two different graphs if you want to apply a reasoning logic from one domain in another (e.g. machine learning in biology or philosophy in electrical engineering). Support If you wan to create your own reasoning ontology graphs, please, refer to this article on generating your own knowledge graph ontologies. You may also be interested to watch this video that explains the logic of this approach in detail: [](https://www.youtube.com/watch?v=jhqBb3nuyAY) Help article on the same topic: Using knowledge graphs as reasoning experts.
By InfraNodusAutomatically save QuickBooks invoice PDFs to Google Drive
This n8n template from Intuz provides a complete and automated solution for secure document archiving. It automatically saves new QuickBooks invoice PDFs directly into Google Drive, creating a reliable backup system. For perfect organization, the workflow uses keywords from the invoice, like the client name or invoice number, to dynamically name the PDF files, ensuring you have a complete and easily searchable financial record. Use Cases Automated Document Archiving: Eliminate the manual work of downloading and saving invoices. Set it up once and let it run. Compliance & Auditing: Maintain a clean, chronological, and separate record of all issued invoices for easy access during audits. Secure Backup: Create a redundant, secure backup of your critical financial documents in your own cloud storage. Enhanced Team Access: Share the Google Drive folder with accountants, bookkeepers, or team members who need access to invoices but not to your full QuickBooks account. How It Works: Real-Time Invoice Trigger: The workflow starts the instant a new invoice is created in your QuickBooks account. A configured webhook sends a notification to n8n, kicking off the automation immediately. Fetch Invoice Metadata: The workflow uses the invoice ID from the webhook to retrieve the full invoice details, such as the customer's name and the transaction date. This information is used in the next steps. Generate the Invoice PDF: A crucial HTTP Request node makes a direct API call to QuickBooks, requesting a PDF version of the invoice. This ensures the archived document is the official, formatted PDF, exactly as it appears in QuickBooks. Upload and Archive in Google Drive: The final node takes the binary PDF data and uploads it to your specified Google Drive folder. It dynamically names the file for easy identification (e.g., CustomerName_TransactionDate.pdf), creating a perfectly organized and searchable archive. Setup Instructions To get this workflow running, follow these key setup steps: Credentials: QuickBooks: Connect your QuickBooks account credentials to n8n. Google: Connect your Google account using OAuth2 credentials and ensure the Google Drive API is enabled. QuickBooks Webhook Configuration: First, activate this n8n workflow to make the webhook URL live. Copy the Production URL from the QuickBooks Webhook node. In your Intuit Developer Portal, go to the webhooks section for your app, paste the URL, and subscribe to Invoice creation events. Node Configuration: Get an invoice & Generate PDF File: These nodes will use your configured QuickBooks credentials automatically. Upload file (Google Drive): In the parameters for this node, you must select the Folder ID where you want your invoices to be saved. Support If you need help setting up this workflow or require a custom version tailored to your specific use case, please feel free to reach out to the template author: Website: https://www.intuz.com/services Email: getstarted@intuz.com LinkedIn: https://www.linkedin.com/company/intuz Get Started: https://n8n.partnerlinks.io/intuz For Custom Worflow Automation Click here- Get Started
By Intuz Summarize private equity & M&A news from RSS feeds to Gmail with GPT-4
Whoโs it for This template is for professionals, students, and investors who want a simple daily finance briefing. It is useful for anyone who follows private equity, mergers & acquisitions, and general market news but prefers short summaries instead of reading long articles. How it works The workflow runs twice a day using a schedule trigger (default 09:00 and 15:00). It pulls articles from three RSS feeds: NYT Private Equity, DealLawyers M&A, and Yahoo Finance. The items are merged and limited to the five most recent stories. A code node formats them into a clean block of text. An AI Agent rewrites each article into a short, engaging 5โ6 sentence summary. The results are delivered directly to your inbox via Gmail. How to set up Add your Gmail credential and replace {{RECIPIENT_EMAIL}} with your email. Insert your OpenAI API key. (Optional) Replace the RSS feed URLs with your preferred sources. Adjust the schedule times if needed. Requirements n8n v1.112+ Gmail credential OpenAI API key How to customize You can add more feeds, increase the number of articles, or translate summaries into another language. You can also deliver the summaries to Slack, Notion, or Google Sheets instead of email.
By Ali MuthanaSmart knowledge base builder โ auto-convert websites into AI training data
AI-Powered Knowledge Base Builder โ Turn Any Website into LLM-Optimized Markdown & TXT Files Automate the entire process of converting any website or domain into clean, structured, AI-ready knowledge bases for Large Language Models (LLMs), semantic search, and chatbot development. --- Key Workflow Highlights URL Input via Simple Form โ Paste a single link or a full domain. Automated Link Discovery โ Crawl and map all related pages with Firecrawl API. Clean Markdown Extraction โ Use Parsera API for accurate, clutter-free content. LLM-Optimized Formatting โ Standardize with OpenAI GPT-4.1-mini for llms.txt. Cloud Storage Integration โ Save directly to Google Drive for instant access. Batch Processing at Scale โ Handle single pages or hundreds of URLs effortlessly. --- Perfect For: AI engineers building domain-specific training datasets Data scientists running semantic search & vector database pipelines Researchers collecting website archives for AI or analytics Automation specialists creating chatbot-ready content libraries --- Why This Workflow Outperforms Manual Processes 100% Automated โ From link input to Google Drive-ready .txt file Flexible Scope โ Choose between single-page extraction or full-site crawling Clean, AI-Friendly Output โ Markdown converted to standardized LLM format Scalable & Reliable โ Handles bulk data ingestion without formatting issues Cloud-First โ Centralized storage for team-wide accessibility --- Problems Solved No more manual copy-paste from dozens of web pages Eliminate formatting inconsistencies across datasets Avoid scattered files โ all output stored in one central folder Instead, you get: Automated URL mapping for deep data coverage Proxy-enabled scraping for accurate extraction Ready-to-use llms.txt files for chatbots, fine-tuning, and AI pipelines --- How It Works โ Step-by-Step Form Submission Input your URL and choose โSingle Pageโ or โFull Domain Crawl.โ URL Mapping with Firecrawl API Automatically discovers all internal links related to the starting URL. Content Extraction with Parsera API Removes ads, navigation clutter, and irrelevant elements to produce clean Markdown. LLM-Optimized Formatting with OpenAI GPT-4.1-mini Generates structured files including: Site title & meta description Page sections with summaries & full text Cloud Upload to Google Drive Final .txt or .md files stored in your specified folder. --- Business & AI Advantages Save 90%+ time preparing AI training datasets Improve AI accuracy with high-quality, consistent input Maintain centralized, cloud-based storage Scale globally with proxy-based content collection --- Setup in Under 10 Minutes Import the workflow into n8n. Add credentials for: Firecrawl API Parsera API OpenAI API Key Google Drive (Service Account or OAuth) Update your Google Drive folder ID. Run a test job with a sample URL. Deploy and connect to your AI pipeline. --- Tools & Integrations Used n8n Form Trigger โ For user-friendly input Firecrawl API โ Comprehensive internal link mapping Parsera API โ Clean, structured content extraction OpenAI GPT-4.1-mini โ LLM-optimized formatting Google Drive API โ Secure cloud storage Batch & Switch Logic โ Efficient multi-page processing --- Advanced Customization Options Change output format: .md, .json, .csv Swap storage to Dropbox, AWS S3, Notion, Airtable Modify AI prompts for alternative formatting Filter by keywords or metadata before saving Automate runs via Google Sheets, email triggers, or cron schedules Add AI-powered translation for multilingual datasets Enrich with SEO metadata or author information Push directly to vector databases like Pinecone, Weaviate, Qdrant --- SEO-Optimized Keywords for Maximum Reach AI data extraction workflow Automated LLM training dataset builder Web to Markdown converter for AI Firecrawl Parsera OpenAI n8n integration llms.txt file generator for chatbots Automated website content scraper for AI Knowledge base creation automation AI-ready data pipeline for semantic search Batch website-to-dataset conversion
By Aayushman SharmaCreate & validate digital certificates with PDF Generator API and Gmail
Automated Certificate Creation & Verification (PDF Template-based) ๐ Overview This n8n workflow provides a complete end-to-end system for creating, distributing, and verifying digital certificates, using PDF Generator API templates instead of raw HTML. It is designed as a production-ready MVP, fully functional and tested, that can be imported and adapted with minimal configuration. The workflow exposes public endpoints to: generate personalized certificates as PDFs assign unique Certification IDs email certificates automatically verify certificate authenticity via API --- ๐ฏ Typical use cases This workflow is ideal for: training providers and academies online courses and bootcamps internal company certifications workshops and events proof-of-completion documents Any scenario where certificates must be generated automatically and verified reliably. --- โ๏ธ What this workflow does 1๏ธโฃ Certificate creation (Webhook) Endpoint POST /certifications2 When triggered, the workflow: Receives candidate data (name, surname, course, email) Generates a unique Certification ID Ensures the ID does not already exist Stores certificate data in an n8n Data Table Generates a PDF using a PDF Generator API template Sends the certificate via email as a PDF attachment --- 2๏ธโฃ PDF generation (Template-based) Instead of HTML, the workflow sends a JSON payload to a predefined PDF template. Example payload: json { "Candidate": "John Doe", "CourseName": "Advanced n8n Automation", "DueDate": "2025-01-10", "ID": "LQ4Z5H8R2A1F" } The PDF layout (fonts, colors, logos, formatting) is fully managed via the PDF Generator API Template UI, keeping the workflow clean and maintainable. --- 3๏ธโฃ Email delivery Uses Gmail OAuth2 Sends a customizable email Attaches the generated certificate PDF automatically --- 4๏ธโฃ Certificate verification Endpoint GET /certificationscheck?id=CERTIFICATION-ID This endpoint: checks if the Certification ID exists returns validation status and candidate info Example response (valid): json { "ok": true, "name": "John", "surname": "Doe" } This enables public, API-based certificate verification. --- ๐ Requirements Before importing the workflow, you need: n8n instance (cloud or self-hosted) n8n Data Table with the following fields: Name (string) Surname (string) CertificationID (string) PDF Generator API account Gmail OAuth2 credentials Ability to expose webhook endpoints publicly --- ๐ Setup guide Step 1 โ Import the workflow Open n8n Go to Workflows โ Import Paste the provided workflow JSON --- Step 2 โ Configure the Data Table Create (or reuse) an n8n Data Table with these fields: | Field | Type | | --------------- | ------ | | Name | string | | Surname | string | | CertificationID | string | Update the following nodes to reference your Data Table: Insert_Certification FindCertificationBy_ID FindCertificationBy_ID1 --- Step 3 โ Configure PDF Generator API Create a PDF template in PDF Generator API Add placeholders such as: {Candidate} {CourseName} {DueDate} {ID} In n8n, set credentials on the Generate a PDF document node โ ๏ธ Placeholder names must exactly match the JSON keys used in the workflow. --- Step 4 โ Configure email credentials Open the Email Certificate node Set Gmail OAuth2 credentials Customize subject and message body if needed --- Step 5 โ Activate the workflow Click Activate Your endpoints are now live: /certifications2 /certificationscheck --- ๐งช Status & notes This workflow is an MVP, but already production-ready Designed to be: modular reusable easy to extend Recommended version for new implementations HTML-based version is kept only for reference/backward compatibility --- ๐ก Customization ideas You can easily extend this workflow by: adding QR codes to certificates storing additional metadata integrating with LMS platforms adding a public verification webpage switching email provider
By Paolo RoncoAutomate beta tester verification & onboarding with Trello, Gmail and QR codes
Verified Beta Tester Access Kit - Automated Onboarding System Transform Your Beta Testing Program Automate your entire beta tester onboarding process from signup to tracking with this comprehensive, production-ready n8n workflow. --- ๐ CATEGORY TAGS Primary Category: โ Marketing & Sales Additional Tags: Automation Email Marketing User Management Onboarding SaaS Product Launch Beta Testing Access Control What This Workflow Does When a beta tester signs up through your form or API, this workflow automatically: โ Verifies Email Authenticity - Uses VerifiEmail API to validate addresses and block disposable emails โ Generates Unique Access Codes - Creates secure BETA-XXXXXX codes with timestamps โ Creates QR Codes - Generates scannable codes for quick mobile activation โ Builds Branded Access Cards - Produces professional HTML/CSS cards with tester details โ Converts to Images - Transforms cards into shareable PNGs โ Sends Welcome Emails - Delivers beautifully formatted emails via Gmail โ Logs in Trello - Creates organized tracking cards automatically โ Returns API Responses - Sends success/error responses with complete data Complete execution time: 5-10 seconds per signup --- Perfect For ๐ SaaS startups launching beta programs ๐ฑ Mobile app developers managing beta testers ๐ฎ Game studios running closed beta tests ๐ข Enterprise teams controlling early access ๐ผ Product managers organizing user testing ๐ฌ Research projects managing participants --- Key Features Security First Real-time email validation Blocks disposable email addresses Unique, non-guessable access codes Webhook authentication ready Professional Branding Customizable HTML/CSS templates Embedded QR codes Responsive email design High-quality PNG generation Team Collaboration Automatic Trello card creation Organized tracking boards Checklist items for follow-ups Easy team assignments Production Ready Comprehensive error handling Detailed logging Scalable architecture Easy integration --- What You'll Need Required API Keys (All Have Free Tiers): VerifiEmail - Email verification at https://verifi.email HTMLCSSToImage - Image generation at https://htmlcsstoimg.com Gmail Account - Email delivery Trello Account - Project tracking at https://trello.com/app-key --- Workflow Steps Webhook receives POST request with tester data VerifiEmail validates email authenticity Conditional logic routes valid/invalid emails Function generates unique BETA-XXXXXX access codes HTTP Request creates QR code image Set node stores QR code URL HTMLCSSToImage converts access card to PNG Gmail sends branded welcome email with kit Trello creates tracking card in board Webhook responds with success/error status --- Sample Request POST to webhook: json { "tester_name": "Aarav Mehta", "tester_email": "aarav@example.com", "product_name": "YourApp v1.0", "signup_date": "2025-11-05" } Success Response (200): json { "status": "success", "message": "Beta tester verified and access kit delivered", "data": { "tester_name": "Aarav Mehta", "access_code": "BETA-A7K9M2", "trellocardcreated": true, "email_sent": true, "qrcodegenerated": true } } Error Response (400): json { "status": "error", "message": "Invalid or disposable email address detected", "reason": "Disposable email" } --- Customization Options Email Template Modify HTML in Gmail node Add company logo Change colors and fonts Access Card Design Edit CSS in HTMLCSSToImage node Adjust QR code size Match your brand Access Code Format Change prefix from "BETA-" to your choice Modify length and characters Trello Integration Add custom fields Include labels Set due dates Assign team members --- Use Cases Mobile App Beta Launch User fills form โ Email verified โ Code sent โ App activated โ Team tracks in Trello SaaS Early Access User signs up โ Email validated โ Access kit received โ Product team manages Game Testing Campaign Player requests access โ Email verified โ Unique key generated โ Community team tracks --- What Makes This Special Unlike simple email workflows, this is a complete system that handles: Security (email verification) Branding (custom access cards) Communication (professional emails) Tracking (team collaboration) Integration (webhook API) All in one cohesive, production-ready workflow! --- Troubleshooting Common Issues & Solutions: Webhook not receiving data โ Check URL and POST method Email verification fails โ Verify API key and rate limits Gmail not sending โ Reconnect OAuth2 Trello card fails โ Confirm List ID is correct Image not generating โ Check HTMLCSSToImage credentials --- ๐ท๏ธ ADDITIONAL METADATA Difficulty Level: โญโญโญ Intermediate (requires API key setup) Time to Setup: ๐ 10-15 minutes ---
By Jitesh Dugar