Workflow Templates

Who's it for This template is for teams that want to stay updated on industry trends, tech news, or competitor mentions without manually browsing news sites. It's ideal for marketing, development, and research teams who use Slack as their central hub for automated, timely information. What it does / How it works This workflow runs on a daily schedule (default 9 AM), fetches the top articles from Hacker News for a specific keyword you define (e.g., 'AI'), and uses an AI agent with OpenRouter to generate a concise, 3-bullet point summary in Japanese for each article. The final formatted summary, including the article title, is then posted to a designated Slack channel. The entire process is guided by descriptive sticky notes on the canvas, explaining each configuration step. How to set up In the Configure Your Settings node, change the default keyword AI to your topic of interest and update the slack_channel to your target channel name. Click the OpenRouter Chat Model node and select your OpenRouter API key from the Credentials dropdown. If you haven't connected it yet, you will need to create a new credential. Click the Send Summary to Slack node and connect your Slack account using OAuth2 credentials. (Optional) Adjust the schedule in the Trigger Daily at 9 AM node to change how often the workflow runs. Activate the workflow. Requirements An n8n instance (Cloud or self-hosted). A Slack account and workspace. An OpenRouter API key stored in your n8n credentials. If self-hosting, ensure the LangChain nodes are enabled. How to customize the workflow Change the News Source:* Replace the *Hacker News* node with an *RSS Feed Read** node or another news integration to pull articles from different sources. Modify the AI Prompt:* In the *Summarize Article with AI** node, you can edit the system message to change the summary language, length, or tone. Use a Different AI Model:* Swap the *OpenRouter* node for an *OpenAI, **Anthropic, or any other supported chat model. Track Multiple Keywords:* Modify the workflow to loop through a list of keywords in the *Configure Your Settings** node to monitor several topics at once.

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

This n8n template gives you a chat-style assistant that can search your HubSpot CRM on demand. Ask natural-language questions like “show me leads in Germany” or “what deals close next month,” and the agent translates your request into precise HubSpot searches—then answers in plain English. Great for founders, AEs, and ops folks who want quick answers without clicking through the CRM. How it works Chat trigger** starts a session from your n8n chat UI or embed. AI Agent (Gemini 2.5 Pro)** interprets the message and: Chooses the right HubSpot search (contacts or deals). Fills filter property, operator (EQ, NEQ, GT, GTE, LT, LTE, BETWEEN, IN, NOT\_IN), and value(s). Requests specific properties (email, name, lifecycle stage, owner, activity timestamps, etc.). HubSpot tools** execute live queries: Contacts: flexible property filter + free-text query. Deals: filters by owner and core deal fields (stage, amount, pipeline, close date). Memory buffer** keeps the last turns so you can say “now only show closed won over 10k” and the agent understands context. How to use Connect credentials HubSpot OAuth on both HubSpot Tool nodes. Google Gemini API key on the Gemini Chat Model. Open the chat (the “When chat message received” node). Ask questions like: “Find contacts named Hans created after Sept 1.” “Deals owned by me in Proposal with amount > 10,000.” “Contacts with lead status = New and no email reply in the last 14 days.” Refine with follow-ups: “Sort by most recently contacted.” “Only Germany.” “Show top 5 with emails.” Requirements HubSpot** (OAuth2) Google Gemini** (API key) Notes & customization Property/operator control:** The contact search node lets the agent set both the property (e.g., email, lifecyclestage, hs_lead_status) and the operator (EQ, IN, BETWEEN in epoch ms for dates, etc.). Owner filtering for deals:** Uses hs_all_owner_ids; swap or extend to filter by pipeline/stage ranges. Guardrails:** Add allowlists for searchable properties or cap result counts to avoid noisy answers. Display format:** Have the agent return concise tables (name, email, stage, last activity, CTA). Handoffs:** Add Slack/Email actions—e.g., “post this list to #sales” or “export to CSV.” Telemetry:** Log queries for later dashboards (common searches, coverage gaps). Troubleshooting No results?** Loosen operators (use IN lists, broaden dates) or include a free-text query. Date filters:** Provide epoch ms for GT/GTE/LT/LTE/BETWEEN on time fields (the agent handles this; keep system time in UTC). Too chatty?** Reduce memory window or ask the agent to summarize to bullet points.

📒 Generate Product Requirements Document (PRD) and test scenarios form input to PDF with OpenRouter and APITemplate.io This workflow generates a Product Requirements Document (PRD) and test scenarios from structured form inputs. It uses OpenRouter LLMs (GPT/Claude) for natural language generation and APITemplate.io for PDF export. Who’s it for This template is designed for product managers, business analysts, QA teams, and startup founders who need to quickly create Product Requirement Documents (PRDs) and test cases from structured inputs. How it works A Form Trigger collects key product details (name, overview, audience, goals, requirements). The LLM Chain (OpenRouter GPT/Claude) generates a professional, structured PRD in Markdown format. A second LLM Chain creates test scenarios and Gherkin-style test cases based on the PRD. Data is cleaned and merged using a Set node. The workflow sends the formatted document to APITemplate.io to generate a polished PDF. Finally, the workflow returns the PDF via a Form Completion node for easy download. ⚡ Requirements OpenRouter API Key (or any LLM) APITemplate.io account 🎯 Use cases Rapid PRD drafting for startups. QA teams generating test scenarios automatically. Standardized documentation workflows. 👉 Customize by editing prompts, PDF templates, or extending with integrations (Slack, Notion, Confluence). Need Help? Ask in the n8n Forum! Happy Automating with n8n! 🚀

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

The Telegram API has a limitation to send only 30 messages per second. Use this workflow to send messages to more than 30 chats in Telegram.

Automated Multi-Bank Balance Sync to BigQuery This workflow automatically fetches balances from multiple financial institutions (RBC, Amex, Wise, PayPal) using Plaid, maps them to QuickBooks account names, and loads structured records into Google BigQuery for analytics. Who’s it for? Finance teams, accountants, and data engineers managing consolidated bank reporting in Google BigQuery. How it works The Schedule Trigger runs weekly. Four Plaid API calls fetch balances from RBC, Amex, Wise, and PayPal. Each response splits out individual accounts and maps them to QuickBooks names. All accounts are merged into one dataset. The workflow structures the account data, generates UUIDs, and formats SQL inserts. BigQuery node uploads the finalized records. How to set up Add Plaid and Google BigQuery credentials, replace client IDs and secrets with variables, test each connection, and schedule the trigger for your reporting cadence.

With workflow, you analyze Email with TheHive/Cortex https://github.com/V1D1AN/S1EM/wiki/Soar-guide

Description This workflow automates the process of retrieving Stripe invoices, validating API responses, generating payment receipts, sending them via email, storing PDFs in Google Drive, and appending details to a Google Sheet ledger. It also includes an error logging system to capture and record workflow issues, ensuring financial operations are both automated and reliable. What This Template Does (Step-by-Step) 📋 Manual Trigger – Start the workflow manually by clicking Execute workflow. 🔗 Fetch Invoices – Authenticates with Stripe and retrieves the 5 most recent invoices (includes customer info, amounts, statuses, and invoice URLs). ✅ Check API Response – Ensures the Stripe API response contains a valid data[] array. If not, errors are logged. 📂 Expand List – Splits Stripe’s bundled invoice list into individual invoice records for independent processing. 💳 IF (Paid?) – Routes invoices based on payment status; only paid invoices move forward. 📧 IF (Already Receipted?) – Skips invoices where a receipt has already been generated (receipt_sent = true). 📑 Download File – Downloads the hosted invoice PDF from Stripe for use in emails and archiving. ✉️ Send Receipt Email – Emails the customer a payment receipt with the PDF attached, using invoice details (number, amount, customer name). ☁️ Upload Invoice PDF – Uploads the invoice PDF to a specific Google Drive folder, named by invoice number. 📊 Append to Ledger – Updates a Google Sheet with invoice metadata (date, invoice number, Drive file ID, link, size). ⚠️ Error Logging – Logs workflow issues (failed API calls, missing data, etc.) into a dedicated error tracking sheet. Prerequisites Stripe API key (with invoice read permissions) Google Drive (destination folder for invoices) Google Sheets with: Receipts Ledger Sheet Error Logging Sheet Gmail OAuth2 account for sending receipts Key Benefits ✅ Automates customer receipt delivery with attached PDFs ✅ Builds a permanent ledger in Google Sheets for finance ✅ Archives invoices in Google Drive for easy retrieval ✅ Prevents duplicates by checking receipt_sent metadata ✅ Includes error logging for smooth monitoring and debugging Perfect For Finance/accounting teams needing automated receipt handling SaaS businesses managing recurring Stripe invoices Operations teams requiring error-proof automation Any business needing audit-ready receipts + logs

CHRO Agent with HR Team Description Complete AI-powered HR department with a Chief Human Resources Officer (CHRO) agent orchestrating specialized HR team members for comprehensive people operations. Overview This n8n workflow creates a comprehensive human resources department using AI agents. The CHRO agent analyzes HR requests and delegates tasks to specialized agents for recruitment, policy development, training, performance management, employee engagement, and compensation analysis. Features Strategic CHRO agent using OpenAI O3 for complex HR decision-making Six specialized HR agents powered by GPT-4.1-mini for efficient execution Complete HR lifecycle coverage from hiring to retention Automated policy creation and compliance documentation Performance review and goal-setting systems Employee engagement and culture initiatives Compensation analysis and benchmarking Team Structure CHRO Agent**: Strategic HR oversight and task delegation (O3 model) Recruiter Agent**: Job descriptions, candidate screening, interview questions HR Policy Writer**: Employee handbooks, policies, compliance documentation Training & Development Specialist**: Onboarding programs, learning materials Performance Review Specialist**: Reviews, feedback templates, goal setting Employee Engagement Specialist**: Culture initiatives, team building, communications Compensation & Benefits Analyst**: Salary benchmarking, benefits packages How to Use Import the workflow into your n8n instance Configure OpenAI API credentials for all chat models Deploy the webhook for chat interactions Send HR requests via chat (e.g., "Create a complete onboarding program for software engineers") The CHRO will analyze and delegate to appropriate specialists Receive comprehensive HR deliverables Use Cases Complete Hiring Process**: Job postings → Screening → Interviews → Offers Policy Development**: Employee handbooks, compliance documentation Onboarding Programs**: 30-60-90 day plans with training materials Performance Management**: Review cycles, feedback systems, development plans Culture & Engagement**: Surveys, team building activities, recognition programs Compensation Strategy**: Market analysis, pay equity reviews, benefits design Requirements n8n instance with LangChain nodes OpenAI API access (O3 for CHRO, GPT-4.1-mini for specialists) Webhook capability for chat interactions Optional: Integration with HRIS systems Cost Optimization O3 model used only for strategic CHRO decisions GPT-4.1-mini provides 90% cost reduction for specialist tasks Parallel processing enables simultaneous agent execution Template library reduces redundant content generation Integration Options Connect to HRIS systems (Workday, BambooHR, etc.) Integrate with applicant tracking systems Link to performance management platforms Export to document management systems Contact & Resources Website**: nofluff.online YouTube**: @YaronBeen LinkedIn**: Yaron Been Tags #HRTech #PeopleOperations #TalentAcquisition #EmployeeExperience #HRAutomation #AIRecruitment #PerformanceManagement #CompensationBenefits #OnboardingAutomation #CultureTech #n8n #OpenAI #MultiAgentSystem #FutureOfWork #HRTransformation

🔗 Automated Semrush Backlink Checker with n8n and Google Sheets 📘 Description This n8n workflow automates backlink data extraction using the Semrush Backlink Checker API available on RapidAPI. By submitting a website via a simple form, the workflow fetches both backlink overview metrics and detailed backlink entries, saving the results directly into a connected Google Sheet. This is an ideal solution for SEO professionals who want fast, automated insights without logging into multiple tools. 🧩 Node-by-Node Explanation On form submission** – Starts the workflow when a user submits a website URL through a web form. HTTP Request* – Sends the URL to the *Semrush Backlink Checker API** using a POST request with headers and form data. Reformat 1** – Extracts high-level backlink overview data like total backlinks and referring domains. Reformat 2** – Extracts individual backlink records such as source URLs, anchors, and metrics. Backlink overview** – Appends overview metrics into the "backlink overflow" tab of a Google Sheet. Backlinks** – Appends detailed backlink data into the main "backlinks" tab of the same Google Sheet. ✅ Benefits of This Workflow No-code integration**: Built entirely within n8n—no scripting required. Time-saving automation**: Eliminates the need to manually log in or export reports from Semrush. Centralized results**: All backlink data is organized in Google Sheets for easy access and sharing. Powered by RapidAPI: Uses the **Semrush Backlink Checker API hosted on RapidAPI for fast, reliable access. Easily extendable**: Can be enhanced with notifications, dashboards, or additional data enrichment. 🛠️ Use Cases 📊 SEO Audit Automation – Auto-generate backlink insights for multiple websites via form submissions. 🧾 Client Reporting – Streamline backlink reporting for SEO agencies or consultants. 📥 Lead Capture Tool – Offer a free backlink analysis tool on your site to capture leads while showcasing value. 🔁 Scheduled Backlink Monitoring – Modify the trigger to run on a schedule for recurring reports. 📈 Campaign Tracking – Monitor backlinks earned during content marketing or digital PR campaigns. 🔐 How to Get Your API Key for the Competitor Keyword Analysis API Go to 👉 Semrush Backlink Checker API - RapidAPI Click "Subscribe to Test" (you may need to sign up or log in). Choose a pricing plan (there’s a free tier for testing). After subscribing, click on the "Endpoints" tab. Your API Key will be visible in the "x-rapidapi-key" header. 🔑 Copy and paste this key into the httpRequest node in your workflow. Create your free n8n account and set up the workflow in just a few minutes using the link below: 👉 Start Automating with n8n Save time, stay consistent, and grow your LinkedIn presence effortlessly!

This workflow automatically scores and categorizes new GoHighLevel contacts using AI (GPT-4), then tags and assigns them to the appropriate team member based on their score. Hot leads also trigger a Slack notification for immediate follow-up. What does it do? Triggers when a new contact is added in GoHighLevel. Fetches full contact details and recent engagement data. Uses AI (GPT-4) to analyze and score the lead (1-100), categorize it (Hot, Warm, Cold), and provide an explanation. Tags the contact in GoHighLevel based on the score. Assigns the lead to the correct sales or nurturing team member. Sends a Slack alert for Hot leads to ensure fast response. Use case Use this workflow to automate lead qualification and assignment in sales teams using GoHighLevel. It helps prioritize high-quality leads, ensures fast follow-up, and reduces manual work. How to configure GoHighLevel API: Set your GoHighLevel API URL and API key in the Workflow Configuration node. Update user IDs for assignment as needed. Slack Integration: Add your Slack webhook URL or credentials in the Slack Notify Hot Lead node. AI Provider: Configure your OpenAI (or compatible) credentials in the AI Lead Scoring (GPT-4) node. Adjust thresholds: If needed, change the score thresholds in the IF nodes to match your business logic. Activate the workflow: Once configured, activate the workflow to start processing new leads automatically. Tip: You can further customize the workflow to fit your sales process, add more notifications, or integrate with other tools as needed.