Workflow Templates

This n8n template demonstrates a multi-modal AI recipe assistant that suggests delicious recipes based on user input, delivered via Telegram. The workflow can uniquely handle two types of input: a photo of your ingredients or a simple text list. Use cases are many: Get instant dinner ideas by taking a photo of your fridge contents, reduce food waste by finding recipes for leftover ingredients, or create a fun and interactive service for a cooking community or food delivery app! Good to know This workflow uses two different AI models (one for vision, one for text generation), so costs will be incurred for each execution. See OpenRouter Pricing or your chosen model provider's pricing page for updated info. The AI prompts are in English, but the final recipe output is configured to be in Japanese. You can easily change the language by editing the prompt in the Recipe Generator node. How it works The workflow starts when a user sends a message or an image to your bot on Telegram via the Telegram Trigger. An IF node intelligently checks if the input is text or an image. If an image is sent, the AI Vision Agent analyzes it to identify ingredients. A Structured Output Parser then forces this data into a clean JSON list. If text is sent, a Set node directly prepares the user's text as the ingredient list. Both paths converge, providing a standardized ingredient list to the Recipe Generator agent. This AI acts as a professional chef to create three detailed recipes. Crucially, a second Structured Output Parser takes the AI's creative text and formats it into a reliable JSON structure (with name, difficulty, instructions, etc.). This ensures the output is always predictable and easy to work with. A final Set node uses a JavaScript expression to transform the structured recipe data into a beautiful, emoji-rich, and easy-to-read message. The formatted recipe suggestions are sent back to the user on Telegram. How to use Configure the Telegram Trigger with your own bot's API credentials. Add your AI provider credentials in the OpenAI Vision Model and OpenAI Recipe Model nodes (this template uses OpenRouter, but it can be swapped for a direct OpenAI connection). Requirements A Telegram account and a bot token. An AI provider account that supports vision and text models, such as OpenRouter or OpenAI. Customising this workflow Modify the prompt in the Recipe Generator to include dietary restrictions (e.g., "vegan," "gluten-free") or to change the number of recipes suggested. Swap the Telegram nodes for Discord, Slack, or a Webhook to integrate this recipe bot into a different platform or your own application. Connect to a recipe database API to supplement the AI's suggestions with existing recipes.

Transform meeting notes into organized tasks automatically This workflow uses AI to extract action items, decisions, and key details from any meeting notes format—then creates tasks in Asana and sends a formatted summary to Slack. Perfect for sales teams, project managers, and anyone who wants to stop manually tracking action items from meetings. What gets extracted Action items with assignees and due dates Key decisions made Pain points or challenges mentioned Budget discussions Next meeting dates How it works The workflow uses a simple form where you paste meeting notes (from AI notetakers like Otter.ai, manual notes, or any text). GPT-4o analyzes the content and extracts structured data. Each action item becomes an Asana task with the assignee name, due date, and full meeting context in the notes. All tasks are then aggregated into a formatted Slack message with clickable links, key decisions, pain points, and budget info. Your team gets a complete meeting summary without reading through pages of notes. Setup requirements OpenAI API key for GPT-4o Asana workspace with OAuth2 connection Slack workspace with OAuth2 connection Customization ideas Replace the form trigger with an email trigger to auto-process notes sent to a specific inbox Modify the AI prompt to extract additional fields like risks, dependencies, or next steps Add conditional logic to route different meeting types to different Asana projects or Slack channels Connect to other project management tools like ClickUp, Monday.com, or Jira instead of Asana Add Google Calendar integration to automatically schedule next meetings Good to know GPT-4o costs approximately $0.01-0.03 per meeting analysis The form can be shared with your team for easy submission All meeting context is preserved in Asana task notes for reference Slack messages include clickable task links for quick access

1. Who this is for This workflow is specifically designed for Recruiters, HR analytics teams, and data-driven talent acquisition professionals seeking deeper insights from LinkedIn candidate profiles. Valuable for HR tech developers, ATS/CRM engineers, and AI-driven recruitment platforms aiming to automate candidate research. Helps organizations build predictive hiring models and gain actionable talent intelligence. 2. What problem this workflow solves Recruiters often face information overload when analyzing LinkedIn profiles manually reviewing experiences, skills, and cultural fit is slow and inconsistent. Traditional scraping tools extract raw data but fail to produce actionable intelligence like career trajectory, skills alignment, and fit for a role. This workflow solves that by: Automating LinkedIn data extraction through Decodo Structuring it into JSON Resume Schema Running deep AI-driven analytics using OpenAI GPT-4o-mini Delivering comprehensive candidate intelligence ready for ATS/CRM integration or HR dashboards 3. What this workflow does This n8n workflow combines Decodo’s LinkedIn data mining capabilities with OpenAI GPT-4o-mini to produce advanced recruitment intelligence. Flow Breakdown: Manual Trigger – Start the workflow manually or schedule it in n8n. Set Input Fields – Define LinkedIn profile URL, location, and job description. Decodo Node – Scrapes the candidate’s LinkedIn profile (experience, skills, education, achievements, etc.). Structured Data Extractor (GPT-4o-mini) – Converts the scraped data into a structured JSON Resume Schema. Advanced Data Mining Engine (GPT-4o-mini) – Performs: Skills Analysis (strengths, gaps, transferable skills) Experience Intelligence (career trajectory, leadership, project complexity) Cultural Fit Insights (work style, communication style, agility indicators) Career Trajectory Forecasting (promotion trends, growth velocity) Competitive Advantage Analysis (market positioning, salary expectations) Summarizer Node – Produces an abstractive and comprehensive AI summary of the candidate profile. Google Sheets Node – Saves the structured insights automatically into your recruitment intelligence sheet. File Writer Node (Optional) – Writes the JSON report locally for offline storage or integration. The result is a data-enriched candidate intelligence report far beyond what traditional resume parsing provides. 4. Setup Prerequisites n8n account with workflow editor access Decodo API credentials OpenAI API key Google Sheets account connected via OAuth2 Make sure to install the Decodo Community node. Setup Steps Import the workflow JSON into your n8n workspace. Set credentials for: Decodo Credentials account OpenAI API (GPT-4o-mini) Google Sheets OAuth2 In the “Set the Input Fields” node, update: url → LinkedIn profile link geo → Candidate region or country jobDescription → Target job description for matching Ensure the Google Sheet ID and tab name are correct in the “Append or update row in sheet” node. Click Execute Workflow to start. 5. How to customize this workflow You can adapt this workflow for different recruitment or analytics scenarios: Add Sentiment Analysis Add another LLM node to perform sentiment analysis on candidate recommendations or feedback notes. Enrich with Job Board Data Use additional Decodo nodes or APIs (Indeed, Glassdoor, etc.) to compare candidate profiles to live job postings. Add Predictive Fit Scoring Insert a Function Node to compute a numerical "fit score" by comparing skill vectors and job requirements. Automate Candidate Reporting Connect to Gmail, Slack, or Notion nodes to automatically send summaries or reports to hiring managers. 6. Summary The Advanced LinkedIn Talent Intelligence & Data Mining via Decodo + OpenAI GPT-4o-mini workflow transforms traditional candidate sourcing into AI-driven intelligence gathering. It integrates: Decodo** → to scrape and structure LinkedIn data GPT-4o-mini** → to interpret, analyze, and summarize with context Google Sheets** → to store structured results for real-time analysis With this system, recruiters and HR analysts can move from data collection to decision intelligence, unlocking faster and smarter talent insights.

📰 What This Workflow Does This intelligent news monitoring system automatically: • RSS Feed Aggregation: Pulls the latest headlines from Google News RSS feeds and Hacker News • AI Content Filtering: Identifies and prioritizes AI-related news from the past 24 hours • Smart Summarization: Uses OpenAI to create concise, informative summaries of top stories • Telegram Delivery: Sends formatted news digests directly to your Telegram channel • Scheduled Execution: Runs automatically every morning at 8:00 AM (configurable) 🎯 Key Features ✅ Multi-Source News: Combines Google News and Hacker News for comprehensive coverage ✅ AI-Powered Filtering: Automatically identifies relevant AI and technology news ✅ Intelligent Summarization: OpenAI generates clear, concise summaries with key insights ✅ Telegram Integration: Instant delivery to your preferred chat or channel ✅ Daily Automation: Scheduled to run every morning for fresh news updates ✅ Customizable Timing: Easy to adjust schedule for different time zones 🔧 How It Works Scheduled Trigger: Workflow activates daily at 8:00 AM (or your preferred time) RSS Feed Reading: Fetches latest articles from Google News and Hacker News feeds Content Filtering: Identifies AI-related stories from the past 24 hours AI Summarization: OpenAI processes and summarizes the most important stories Telegram Delivery: Sends formatted news digest to your Telegram channel 📋 Setup Requirements • OpenAI API Key: For AI-powered news summarization • Telegram Bot: Create via @BotFather and get bot token + chat ID • RSS Feed Access: Google News and Hacker News RSS feeds (public) ⚙️ Configuration Steps Set Up Telegram Bot: Message @BotFather on Telegram Create new bot with /newbot command Save bot token and chat ID Configure OpenAI: Add OpenAI API credentials in n8n Ensure access to GPT models for summarization Update RSS Feeds: Verify Google News RSS feed URLs Confirm Hacker News feed accessibility Schedule Timing: Adjust Schedule Trigger for your time zone Default: 8:00 AM daily (modify as needed) Test & Deploy: Run test execution to verify all connections Activate workflow for daily automation 🎨 Customization Options Time Zone Adjustment: Modify Schedule Trigger for different regions News Sources: Add additional RSS feeds for broader coverage Filtering Criteria: Adjust AI prompts to focus on specific topics Summary Length: Customize OpenAI prompts for different detail levels Delivery Format: Modify Telegram message formatting and structure 💡 Use Cases • AI Professionals: Stay updated on latest AI developments and industry news • Tech Teams: Monitor technology trends and competitor announcements • Researchers: Track academic and industry research developments • Content Creators: Source material for AI-focused content and newsletters • Business Leaders: Stay informed about AI market trends and opportunities

🚀 AI-Powered Email to Purchase Order Workflow Automatically scan your inbox for new purchase order requests, extract order details using Gemini AI, and log them into Google Sheets — all without manual effort. ✨ Core Capabilities ⏱ Runs every minute to check unread emails 📧 Filters emails by subject 🤖 Uses Gemini AI to summarize email content & extract structured order details 📅 Formats dates into ISO calendar weeks 📊 Adds product data from Google Sheets to complete order info ✅ Appends final purchase order records into a Google Sheet (without replacing previous ones) 🛠 Setup Essentials 📩 Gmail account for fetching unread emails 🔑 Google Gemini (PaLM) API credentials 📒 Google Sheet with predefined purchase order headers 📖 Activation Guide ⚙️ Configure Gmail & Google Sheets credentials in n8n 🎯 Adjust the subject filter to match your email rules 🔌 Connect Gemini AI with your API credentials 📑 Create a Google Sheet with the required headers ▶️ Activate the workflow and let it run in the background 🎨 Customizing the Workflow 🔍 Email Filters → Change keywords in the filter node to match your purchase order email subjects 🏷 Order Fields → Modify Set and Append to Google Sheet nodes if your schema differs ✍️ AI Instructions → Adjust the AI Agent’s prompt to fit your company’s email style or product details ⏲ Frequency → Update the Cron node if you want to scan emails less often 📂 Target Google Sheet → Point to a different sheet or tab depending on your department or customer

Automated Crypto Forecast Pipeline using Decodo and Gmail Sign Up for Decodo HERE for discount This template scrapes CoinGecko pages for selected coins, converts metrics into clean JSON, stores them in an n8n Data Table, generates 24-hour direction forecasts with Gemini, and emails a concise report. Who’s it for? Crypto watchers who want automated snapshots, forecasts, and a daily email—without managing a full data stack. How it works 30-min schedule loops coins, scrapes CoinGecko (Decodo), parses metrics, and upserts to Data Table. 18:00 schedule loads last 48h data. Gemini estimates next-24h direction windows. Email is rendered (HTML + plain text) and sent. How to set up Add Decodo, Gmail, and Gemini credentials. Open Configure Coins to edit tickers. Set Data Table ID. Replace recipient email. (Self-host only) Community node Decodo required. @decodo/n8n-nodes-decodo (community)

Who’s it for This template is perfect for TikTok creators, content marketers, and social media teams who want to turn viral comments into engaging short-form videos without manually scripting, recording, or editing. If you want to keep up with trends and consistently publish high-quality avatar videos, this workflow automates the entire process from comment selection to enhanced final video. What it does The workflow takes TikTok video URLs and their top comments from a Data Table, extracts the transcript using Dumpling AI, and uses GPT-4 to write a natural and engaging TikTok script inspired by the comment. It then generates a full AI avatar video through Captions.ai, enhances it with subtitles and B-roll using Submagic, and finally saves all video details into Airtable for tracking. Here’s what happens step by step: Pulls TikTok videos and their top comments from a Data Table Sends video URLs to Dumpling AI to retrieve transcripts Feeds both transcript and comment into GPT-4 to generate a conversational TikTok script Cleans and formats the script using JavaScript Sends the script to Captions.ai to produce an AI avatar video Checks video status and retries if needed Enhances the final video with Submagic for captions and effects Receives the enhanced video via webhook and logs details into Airtable How it works Schedule Trigger: Runs automatically at set intervals to start the workflow Data Table: Retrieves TikTok video URLs and associated comments Dumpling AI: Extracts transcripts from the video URLs GPT-4: Generates a compelling TikTok script based on the comment JavaScript Node: Cleans up script formatting for a smooth avatar generation Captions.ai: Creates an AI avatar video from the cleaned script Wait & Check: Monitors video creation status and retries if necessary Submagic: Enhances the video with captions, zooms, and B-roll effects Webhook & Airtable: Receives final video data and saves URL and ID for future use Requirements ✅ Dumpling AI API key stored as HTTP header credentials ✅ OpenAI GPT-4 credentials ✅ Captions.ai API credentials ✅ Submagic API credentials ✅ Airtable base with fields for Video URL and Caption Video ID ✅ A properly structured Data Table containing TikTok Keywords or video URLs How to customize Adjust the GPT-4 system prompt to shape the tone, style, or format of the TikTok script Change the avatar or creator settings in Captions.ai to match your brand personality Modify Submagic settings to control subtitle styling or B-roll effects Integrate approval steps before final video generation if needed Extend the workflow to auto-publish videos to TikTok or store them in cloud drives > This workflow lets you transform TikTok comments into engaging AI avatar videos with captions and edits, completely on autopilot. It’s a powerful way to scale content output and stay ahead of trends without manual scripting or filming.

Stop manually searching for songs and let an AI DJ do the work for you. This template provides a complete, end-to-end system that transforms any text prompt into a ready-to-play Spotify playlist. It combines the creative understanding of a powerful AI Agent with the real-time web knowledge of Linkup to curate perfect, up-to-the-minute playlists for any occasion. The experience is seamless: simply describe the vibe you're looking for in a web form, and the workflow will automatically create the playlist in your Spotify account and redirect you straight to it. Whether you need "upbeat funk for a sunny afternoon" or "moody electronic tracks for late-night coding," your personal AI DJ is ready to deliver. Who is this for? Music lovers:** Create hyper-specific playlists for any mood, activity, or niche genre without the hassle of manual searching. DJs & event planners:** Quickly generate themed playlists for parties, weddings, or corporate events based on a simple brief. Content creators:** Easily create companion playlists for your podcasts, videos, or articles to share with your audience. n8n developers:** A powerful example of how to build an AI agent that uses an external web-search tool to accomplish a creative task. What problem does this solve? Creates up-to-date playlists:** A standard AI doesn't know about music released yesterday. By using Linkup's live web search, this workflow can find and include the very latest tracks. Automates the entire creation process:** It handles everything from understanding a vague prompt (like "songs that feel like a summer road trip") to creating a fully populated Spotify playlist. Saves time and effort:** It completely eliminates the tedious task of searching for individual tracks, checking for relevance, and manually adding them to a playlist one by one. Provides a seamless user experience:** The workflow begins with a simple form and ends by automatically opening the finished playlist in your browser. There are no intermediate steps for you to manage. How it works Submit your playlist idea: You describe the playlist you want and the desired number of tracks in a simple, Spotify-themed web form. The AI DJ plans the search: An AI Agent (acting as your personal DJ) analyzes your request. It then intelligently formulates a specific query to find the best music. Web research with Linkup: The agent uses its Linkup web-search tool to find artists and tracks from across the web that perfectly match your request, returning a list of high-quality suggestions. The AI DJ curates the list: The agent reviews the search results and finalizes the tracklist and a creative name for your playlist. Build the playlist in Spotify: The workflow takes the agent's final list, creates a new public playlist in your Spotify account, then searches for each individual track to get its ID and adds them all. Instant redirection: As soon as the last track is added, the workflow automatically redirects your browser to the newly created playlist on Spotify, ready to be played. Setup Connect your accounts: You will need to add your credentials for: Spotify: In the Spotify nodes. Linkup: In the Web query to find tracks (HTTP Request Tool) node. Linkup's free plan is very generous! Your AI provider (e.g., OpenAI): In the OpenAI Chat Model node. Activate the workflow: Toggle the workflow to "Active." Use the form: Open the URL from the On form submission trigger and start creating playlists! Taking it further Change the trigger:* Instead of a form, trigger the playlist creation from a *Telegram* message, a *Discord** bot command, or even a webhook from another application. Create collaborative playlists:** Set up a workflow where multiple people can submit song ideas. You could then have a final AI step consolidate all the requests into a single, cohesive prompt to generate the ultimate group playlist. Optimize for speed:* The *Web query to find tracks** node is set to deep search mode for the highest quality results. You can change this to standard mode for faster and cheaper (but potentially less thorough) playlist creation.

🧠 AI Brainstorm Generator - Break Through Creative Blocks Instantly Transform any problem into innovative solutions using AI-powered brainstorming that combines mathematical randomness with intelligent synthesis. What This Workflow Does This workflow generates creative, actionable solutions to any problem by combining: Mersenne Twister algorithm** for high-entropy random seed generation AI-driven random word generation** to create unexpected semantic triggers Dual AI agents** that brainstorm and refine ideas into polished solutions Simply input your challenge via the chat interface, and within 2 minutes receive a professionally refined solution that combines the best elements from 5+ innovative ideas. Key Features ✨ Consistent Creativity - Works regardless of your mental state or time of day 🎲 True Randomness - MT19937 algorithm ensures no pattern repetition 🤖 Multi-Model Support - Works with OpenAI GPT-4 or Google Gemini ⚡ Fast Results - Complete solutions in under 2 minutes 🔄 Self-Cleaning - Redis data expires automatically after use Use Cases Product ideation and feature development Marketing campaign concepts Problem-solving for technical challenges Business strategy innovation Creative writing prompts Workshop facilitation Requirements Redis database (local or cloud) OpenAI API key (GPT-4) OR Google Gemini API key n8n instance (self-hosted or cloud) How It Works User inputs problem via chat trigger Mersenne Twister generates high-entropy random numbers AI generates 36+ random words as creative triggers Brainstorming Agent creates 5 innovative solutions Critic Agent synthesizes the best elements into one refined solution Perfect for teams facing innovation challenges, solo entrepreneurs seeking fresh perspectives, or anyone who needs to break through creative blocks reliably. Setup Time: ~10 minutes Difficulty: Intermediate Support: Full documentation included via sticky notes

🧾 What this workflow does This automation transforms a short text idea into a cinematic video by chaining together three powerful AI services: GPT-4.1 for scene creation, Dumpling AI’s FLUX.1 Pro model for visual generation, and KIE API (Veo 3) for cinematic video creation. The system fully automates the journey from raw concept to video output, returning the final video URL. 👤 Who is this for Content creators who want to test visual ideas quickly Agencies creating moodboards, ad scenes, or pitch visuals Solo marketers or founders without video editing skills AI automation builders creating content tools ⚙️ How to set up ✅ Requirements OpenAI GPT-4.1 API key** Dumpling AI (FLUX.1 Pro model)** API token KIE API* account with access to the *Veo 3 endpoint** Optional: Tool to store or share the final video link (e.g., Google Sheets, Slack) 🔧 Setup steps Start with a text idea Example: “A lion running through misty mountains at sunrise.” GPT-4.1 Node: Expands the idea into two parts: Cinematic Prompt: Describes the atmosphere, emotion, and camera movement. Image Prompt: A vivid single-frame visual to generate the base image. Dumpling AI Node (FLUX.1 Pro): Takes the image prompt and returns a cinematic-style image. You can customize dimensions, steps, seed, and guidance level. KIE API Node (Veo 3): Sends both the cinematic prompt and image to the Veo 3 model. The model returns a video URL (e.g., 3–6 seconds cinematic footage). Final Output: The video URL is returned by the HTTP node. You can connect this to Airtable, Slack, Telegram, or Google Sheets to log the result or share with your team. 🧠 How it works You input a text idea GPT-4.1 turns it into both a detailed cinematic prompt and a base image prompt Dumpling AI generates the image KIE API’s Veo 3 turns it into a cinematic video The final video URL is returned for download or embedding 💡 Customization Ideas Add a Telegram bot to trigger this workflow with an idea via message Route video links to a Notion database or content calendar Add a loop with rating logic to regenerate low-rated videos Use Google Drive to auto-save videos in brand folders Automate weekly video ideation for social media using a prompt list This workflow helps you turn raw imagination into cinematic motion using AI. From social content to storyboarding, you can generate compelling visuals in minutes — no design or video background needed.

Pull a Dun & Bradstreet Business Information Report (PDF) by DUNS, convert the response into a binary PDF file, extract readable text, and use OpenAI to return a clean, flat JSON with only the key fields you care about (e.g., report date, Paydex, viability score, credit limit). Includes Sticky Notes for quick setup help and guidance. ✅ What this template does Requests a D&B report* (PDF) for a specific *DUNS** via HTTP Converts* the API response into a *binary PDF file** Extracts** the text from the PDF for analysis Uses OpenAI with a Structured Output Parser to return a flat JSON Designed to be extended to Sheets, databases, or CRMs 🧩 How it works (node-by-node) Manual Trigger — Runs the workflow on demand ("When clicking 'Execute workflow'"). D&B Report (HTTP Request) — Calls the D&B Reports API for a Business Information Report (PDF). Convert to PDF File (Convert to File) — Turns the D&B response payload into a binary PDF. Extract Binary (Extract from File) — Extracts text content from the PDF. OpenAI Chat Model — Provides the language model context for the analyzer. Analyze PDF (AI Agent) — Reads the extracted text and applies strict rules for a flat JSON output. Structured Output (AI Structured Output Parser) — Enforces a schema and validates/auto-fixes the JSON shape. (Optional) Get Bearer Token (HTTP Request) — Template guidance for OAuth token retrieval (shown as disabled; included for reference if you prefer Bearer flows). 🛠️ Setup instructions (from the JSON) 1) D&B Report (HTTP Request) Auth:* Header Auth (use an n8n *HTTP Header Auth** credential) URL:** https://plus.dnb.com/v1/reports/duns/804735132?productId=birstd&inLanguage=en-US&reportFormat=PDF&orderReason=6332&tradeUp=hq&customerReference=customer%20reference%20text Headers:** Accept: application/json Credential Example:** D&B (HTTP Header Auth) > Put your Authorization: Bearer <token> header inside this credential, not directly in the node. 2) Convert to PDF File (Convert to File) Operation:** toBinary Source Property:** contents[0].contentObject > This takes the PDF content from the D&B API response and converts it to a binary file for downstream nodes. 3) Extract Binary (Extract from File) Operation:** pdf > Produces a text field with the extracted PDF content, ready for AI analysis. 4) OpenAI Model(s) OpenAI Chat Model** Model:** gpt-4o (as configured in the JSON) Credential:* Your stored *OpenAI API* credential (do *not** hardcode keys) Wiring:** Connect OpenAI Chat Model as ai_languageModel to Analyze PDF Connect another OpenAI Chat Model (also gpt-4o) as ai_languageModel to Structured Output 5) Analyze PDF (AI Agent) Prompt Type:** define Text:** ={{ $json.text }} System Message (rules):** You are a precision extractor. Read the provided business report PDF and return only a single flat JSON object with the fields below. No arrays/lists. No prose. If a value is missing, output null. Dates: YYYY-MM-DD. Numbers: plain numerics (no commas or $). Prefer most recent or highest-level overall values if multiple are shown. Never include arrays, nested structures, or text outside of the JSON object. 6) Structured Output (AI Structured Output Parser) JSON Schema Example:** { "report_date": "", "company_name": "", "duns": "", "dnb_rating_overall": "", "composite_credit_appraisal": "", "viability_score": "", "portfolio_comparison_score": "", "paydex_3mo": "", "paydex_24mo": "", "credit_limit_conservative": "" } Auto Fix:** enabled Wiring:* Connect as ai_outputParser to *Analyze PDF** 7) (Optional) Get Bearer Token (HTTP Request) — Disabled example If you prefer fetching tokens dynamically: Auth:** Basic Auth (D&B username/password) Method:** POST URL:** https://plus.dnb.com/v3/token Body Parameters:** grant_type = client_credentials Headers:** Accept: application/json Downstream usage:** Set header Authorization: Bearer {{$json["access_token"]}} in subsequent calls. > In this template, the D&B Report node uses Header Auth credential instead. Use one strategy consistently (credentials are recommended for security). 🧠 Output schema (flat JSON) The analyzer + parser return a single flat object like: { "report_date": "2024-12-31", "company_name": "Example Corp", "duns": "123456789", "dnb_rating_overall": "5A2", "composite_credit_appraisal": "Fair", "viability_score": "3", "portfolio_comparison_score": "2", "paydex_3mo": "80", "paydex_24mo": "78", "credit_limit_conservative": "25000" } 🧪 Test flow Click Execute workflow (Manual Trigger). Confirm D&B Report returns the PDF response. Check Convert to PDF File for a binary file. Verify Extract from File produces a text field. Inspect Analyze PDF → Structured Output for valid JSON. 🔐 Security notes Do not hardcode tokens in nodes; use Credentials (HTTP Header Auth or Basic Auth). Restrict who can execute the workflow if it's accessible from outside your network. Avoid storing sensitive payloads in logs; mask tokens/headers. 🧩 Customize Map the structured JSON to Google Sheets, Postgres/BigQuery, or a CRM. Extend the schema with additional fields (e.g., number of employees, HQ address) — keep it flat. Add validation (Set/IF nodes) to ensure required fields exist before writing downstream. 🩹 Troubleshooting Missing PDF text?* Ensure *Convert to File** source property is contents[0].contentObject. Unauthorized from D&B?** Refresh/verify token; confirm Header Auth credential contains Authorization: Bearer <token>. Parser errors?** Keep the agent output short and flat; the Structured Output node will auto-fix minor issues. Different DUNS/product?** Update the D&B Report URL query params (duns, productId, etc.). 🗒️ Sticky Notes (included) Overview:** "Fetch D&B Company Report (PDF) → Convert → Extract → Summarize to Structured JSON (n8n)" Setup snippets for Data Blocks (optional) and Auth flow 📬 Contact Need help customizing this (e.g., routing the PDF to Drive, mapping JSON to your CRM, or expanding the schema)? 📧 robert@ynteractive.com 🔗 https://www.linkedin.com/in/robert-breen-29429625/ 🌐 https://ynteractive.com

Introduction Automates AI-driven assignment grading with HTML and CSV output. Designed for educators evaluating submissions with consistent criteria and exportable results. How It Works Webhook receives papers, extracts text, prepares data, loads answers, AI grades submissions, generates results table, converts to HTML/CSV, returns response. Workflow Template Webhook → Extract Text → Prepare Data → Load Answer Script → AI Grade (OpenAI + Output Parser) → Generate Results Table → Convert to HTML + CSV → Format Response → Respond to Webhook Workflow Steps Input & Preparation: Webhook receives paper, extracts text, prepares data, loads answer script. AI Grading: OpenAI evaluates against answer key, Output Parser formats scores and feedback. Output & Response: Generates results table, converts to HTML/CSV, returns multi-format response. Setup Instructions Trigger & Processing: Configure webhook URL, set text extraction parameters. AI Configuration: Add OpenAI API key, customize grading prompts, define Output Parser JSON schema. Prerequisites OpenAI API key Webhook platform n8n instance Use Cases University exam grading Corporate training assessments Customization Modify rubrics and criteria Add PDF output Integrate LMS (Canvas, Blackboard) Benefits Consistent AI grading Multi-format exports Reduces grading time by 90%