Workflow Templates

This workflow is your all-in-one AI Content Strategist, designed to generate comprehensive, data-driven content briefs by analyzing top-ranking competitors. It operates through a simple chat interface. You provide a target keyword, and the workflow automates the entire research process. First, it scrapes the top 10 Google search results using the powerful Bright Data SERP API. Then, for each of those results, it performs a deep dive, using the Bright Data Web Unblocker to reliably extract the full content from each page, bypassing any anti-bot measures. Finally, all the gathered data—titles, headings, word counts, and page summaries—is synthesized by a Large Language Model (LLM) to produce a strategic content plan. This plan identifies search intent, core topics, and crucial content gaps, giving you a clear roadmap to outrank the competition. This template is indispensable for SEO specialists, content marketers, and digital agencies looking to scale their content production with strategies that are proven to work. Why Use This AI Content Strategist Workflow ? Data-Driven Insights: Base your content strategy on what is actually ranking on **Google, not guesswork. Automated Competitive Analysis: Instantly understand the structure, length, and key themes of the **top-performing articles for any keyword. Strategic Gap Detection: The **AI analysis highlights poorly covered topics and missed opportunities, allowing you to create content that provides unique value. Massive Time Savings: Condenses hours of **manual research into a fully automated process that runs in minutes. How It Works Chat Interaction Begins: The workflow is initiated via a chat UI. The user enters a target keyword to start the analysis. Google SERP Scraping (Bright Data): The "Google SERP" node uses Bright Data's SERP API to fetch the top 10 organic results, providing the URLs for the next stage. Individual Page Scraping (Bright Data): The workflow loops through each URL. The "Access and extract data" node uses the Bright Data Web Unblocker to ensure successful and complete HTML scraping of every competitor's page. Content Extraction & Aggregation: A series of Code nodes clean the raw HTML and extract structured data (title, meta description, headings, word count). The Aggregate node then compiles the data from all 10 pages into a single dataset. AI Synthesis (OpenRouter): The "Analysis" node sends the entire compiled dataset to an LLM via OpenRouter. The AI performs a holistic analysis to identify search intent, must-cover topics, and differentiation opportunities. Strategic Brief Generation: The "Format Output" node takes the AI's structured JSON analysis and transforms it into a clean, human-readable Markdown report, which is then delivered back to the user in the chat interface. 🔑 Prerequisites To use this workflow, you will need active accounts with both Bright Data (for web scraping) and OpenRouter (for AI model access). Setting Up Your Credentials: Bright Data Account: Sign up for a free trial account on their website. Inside your Bright Data dashboard, you will need to activate both the SERP API and the Web Unblocker products to create the necessary Zones. In n8n, navigate to the Credentials section, add a new "Brightdata API" credential, and enter your API key. In the workflow, select your newly created credential in both the "Google SERP" node and the "Access and extract data from a specific URL" node. OpenRouter Account: Sign up for an account at OpenRouter.ai. Navigate to your account settings to find your API Key. In n8n, go to Credentials, add a new "OpenRouter API" credential, and paste your key. In the workflow, select this credential in all three "OpenRouter Chat Model" nodes. Phil | Inforeole 🇫🇷 Contactez nous pour automatiser vos processus

📧 Auto-Send AI Follow-Up Emails to Zoom Attendees This workflow automatically emails personalized follow-ups to every Zoom meeting participant once the meeting ends. ⚙️ How It Works Zoom Webhook → Captures meeting.ended event + participant list. Normalize Data → Extracts names, emails, and transcript (if available). AI (GPT-4) → Drafts short, professional follow-up emails. Gmail → Sends thank-you + recap email to each participant. 🛠️ Setup Steps 1. Zoom App Enable meeting.ended event. Include participant email/name in webhook payload. Paste workflow webhook URL. 2. Gmail Connect Gmail OAuth in n8n. Emails are sent automatically per participant. 3. OpenAI Add your OpenAI API key. Uses GPT-4 for personalized drafting. 📊 Example Output Email Subject: Follow-Up: Marketing Strategy Session Email Body: Hi Sarah, Thank you for joining our Marketing Strategy Session today. Key points we discussed: Campaign launch next Monday Budget allocation approved Need design assets by Thursday Next steps: I'll follow up with the creative team and share the updated timeline. Best, David ⚡ With this workflow, every attendee feels valued and aligned after each meeting.

This n8n workflow automatically generates a comprehensive dataset of 50 AI search prompts tailored to a specific company. It combines AI-powered company research with structured prompt generation to create monitoring queries for tracking brand visibility across AI search engines like ChatGPT, Perplexity, Claude, and Gemini. The dataset is ready for use and can be uploaded to any major AI search analytics platforms (like ALLMO.ai,...) or used in your own model. Who's it for & Use Cases SEO/GEO Marketing teams, Growth Managers, GTM engineers and Founders who want to: Create custom prompt datasets for visibility tracking platforms like ALLMO.ai Generate industry-specific search queries for AI model monitoring How It Works Phase 1: Company Research Start the workflow via the form and input your company name and website URL GPT-5 Mini with web search collects company information, including buyer personas, key features, and value proposition Phase 2: Prompt Generation Claude Sonnet 4.5 generates and refines natural language prompts based on Phase 1 findings English prompts are automatically translated into German Phase 3: Export & Implementation Wait for processing (~total of 2-5 minutes depending on website complexity) English and German prompt sets are merged with metadata and structured into table format Download the CSV file containing 50 prompts ready for import into AI Search monitoring systems (allmo.ai, etc.) How to Setup Just enter your API credentials in the Claude and ChatGPT Nodes. How to Expand You can update the system prompts for the "prompt writing engine" to create more prompts. You can update or add more translations. Output Structure: 25 English prompts + 25 German prompts (can be changed flexibly). Each prompt tagged with: company name, industry, category, language, and AI model for simple tracking. Ready for direct import into any GEO/ALLMO visibility tracking system. Requirements API Credentials: Anthropic API (Claude Sonnet 4.5) OpenAI API (GPT-5 Mini with web search capability) Data Input: Valid company website URL (publicly accessible) Company name as it should appear in tracking

This workflow helps HR teams run smoother monthly Q\&A sessions with employees. Who’s it for** HR teams and managers who want to centralize employee questions, avoid duplicates, and keep meetings focused. How it works** Employees submit questions through a styled form. Questions are stored in a database. HR selects a date range to review collected questions. An AI Agent deduplicates and clusters similar questions, then generates a meeting script in Markdown format. The Agent automatically creates a Google Calendar event (with a Google Meet link) on the last Friday of the current month at 16:00–17:00. The script is returned as a downloadable .txt file for HR to guide the session. Requirements** MySQL (or compatible DB) for storing questions Google Calendar credentials OpenAI (or another supported LLM provider) How to customize** Adjust meeting day/time in the Set node expressions Change database/table name in MySQL nodes Modify clustering logic in the AI Agent prompt Replace the form styling with your company’s branding This template ensures no repeated questions, keeps HR better prepared with a structured script, and automates meeting scheduling in just one click.

Portrait Photo Upscaler Workflow Overview Automated workflow that retrieves portrait photos from Airtable, upscales them using AI, and stores the enhanced images in Google Drive with organized folder structure. Features Automated Folder Creation**: Creates timestamped folders in Google Drive AI-Powered Upscaling**: Uses Replicate's Real-ESRGAN for 2x image enhancement Batch Processing**: Handles multiple images efficiently with loop processing Error Handling**: Continues processing even if individual images fail Airtable Integration**: Retrieves images from specified database records Prerequisites Required Credentials Google Drive OAuth2 API**: For folder creation and file uploads Airtable Token API**: For accessing image records Replicate HTTP Header Auth**: For AI upscaling service Airtable Setup Column name: PortraitFotoAuswahl Column type: Attachment field containing image files Required: Valid Airtable Base ID and Table ID Workflow Steps Manual Trigger: Initiates the workflow execution Create Folder: Generates new Google Drive folder with custom name Get Airtable Record: Retrieves specified record containing portrait images Extract URLs: Processes attachment URLs from Airtable field Loop Processing: Iterates through each image for individual processing AI Upscaling: Enhances images using Replicate's Real-ESRGAN (2x scale) Download Results: Retrieves processed images from Replicate Upload to Drive: Stores enhanced images in created folder Configuration Required Inputs Folder Name**: Custom name for Google Drive folder Record ID**: Airtable record identifier containing images Base ID**: (configurable) Table ID**: (configurable) Upscaling Settings Scale Factor**: 2x (configurable) Face Enhancement**: Disabled (configurable) Model**: Real-ESRGAN v1.3 Technical Details Node Configuration Error Handling**: Continue on individual failures Response Format**: File binary for image processing Naming Convention**: LoRa{timestamp}.png Batch Processing**: Automatic item splitting API Endpoints Replicate**: https://api.replicate.com/v1/predictions Model Version**: nightmareai/real-esrgan:f121d640bd286e1fdc67f9799164c1d5be36ff74576ee11c803ae5b665dd46aa Use Cases Portrait photography enhancement Batch image processing for portfolios Automated content preparation workflows Quality improvement for archived images Output Enhanced images stored in Google Drive Organized folder structure with timestamps Preserved original filenames with processed variants Failed processes continue without stopping workflow Template Benefits Scalable**: Processes unlimited images in single execution Reliable**: Built-in error handling and continuation logic Organized**: Automatic folder management and file naming Professional**: High-quality AI upscaling for commercial use

📬 SPAM MANAGER FOR LEAD GENERATION Automatically identifies and manages spam replies from your outreach inbox; such as “Delivery failed” or “There was a problem with your delivery” which comes from "mailer-daemon@googlemail.com" for Gmail. This is to remove these messages to keep your email lists clean and improve domain reputation. 🎯 Who it’s for This workflow is designed for lead generation managers, outreach specialists, and freelancers who send cold or automated emails at scale. It helps you automatically filter and manage bounce or spam responses without manually combing through your inbox, ensuring your sender domain stays healthy and your lead lists remain accurate. ⚙️ How it works Trigger: Watches your Gmail inbox for replies from system senders like mailer-daemon@googlemail.com. Extract Email: Pulls out the email address from each bounce or spam message. Merge: Compares the extracted address with your main lead sheet. Update Sheet: If the email exists in your main sheet, it updates that record’s SPAM field to "YES". Otherwise, it adds the address to a dedicated Unsubscribe or Bad Emails table. Mark as Read: Tags and marks the email as processed in Gmail for better visibility. 🧩 Requirements To run this workflow, you’ll need: Gmail Credentials** → For reading and tagging emails. NocoDB API Token** → For reading and updating your lead list and spam records.(You can use Sheets, Airtable or any other DB you use). Both can be securely added through the n8n Credentials Manager. 🧠 How to Customize Sender Filter:** Change the Gmail Trigger to include other mailer domains or error messages. Data Storage:** Replace NocoDB with Google Sheets or Airtable. Tagging:** Adjust or remove the Gmail label used for spam-marked messages. Message Matching:** Edit the MERGE code node to fit your column names (e.g., Email, Address, etc.). 💡 Why this workflow matters By automating spam and bounce handling, you: Keep your lead database clean and current Reduce bounce rates and spam flags Improve your email deliverability and sender score Save time spent manually checking failed emails 🪄 Quick Setup Tips Add your Gmail and DB credentials under the Credentials tab. Update the DB project and table IDs in relevant nodes. Test with a few known bounce messages to verify connection and matching. Optional: Add a “SPAM” tag in Gmail for quick inbox filtering. "UNSUBSCRIBE" is used in this workflow. 🧾 Workflow Info Workflow Name: SPAM MANAGER FOR LEAD GENERATION Category: Email & Data Hygiene Version: 1.0 Created for: Outreach and CRM Automation Author: Itunu Portfolio: Itunu’s Automation Portfolio

This n8n template turns a small, targeted HubSpot list into tailored outreach. It scans each contact’s recent Gmail conversations, builds a lightweight persona with AI (tone, goals, pain points, decision style), then drafts a concise sales email aligned to your offer—saved to Gmail as a reviewable draft. Perfect for SDRs and founders who want personalization at scale without writing from scratch. This template was originally created by Jim Le. How it works Manual trigger** starts a controlled run. HubSpot search** pulls a focused list of contacts (e.g., hs_buying_role = DECISION_MAKER). Batch loop** processes contacts one by one. Gmail fetch** grabs up to 20 recent threads from each contact. AI persona extraction** (Information Extractor + Gemini) analyzes messages to capture: decision-making style, communication preferences, goals/motivations pain points, work style, personality traits, buying behavior, values, market awareness Variables node* sets core fields (first name, last name, email) and the *offer** you want to pitch. AI email generation* (Gemini) mirrors the contact’s tone and priorities; outputs *subject* + *HTML body**. Gmail draft** is created for the contact so a rep can skim, tweak, and send. How to use Connect HubSpot on the “Get Contacts” node and refine the filter to your segment. Connect Gmail on both read and draft nodes (same account recommended). Add Gemini key to both Gemini nodes. In Variables, update product_to_sell with your offer and confirm the contact field mappings. (Optional) Tweak the persona attributes or the email prompt for tone/length/CTA. Click Test workflow. Review drafts in Gmail, edit if needed, then send. Requirements HubSpot** (OAuth2) for contact targeting Gmail** (read + draft) Google Gemini** (API key) for persona + copy generation Notes & customization Tighter targeting:** Change the HubSpot filter (e.g., industry, territory, lifecycle stage) to keep the list small and measurable. Richer inputs:** Increase Gmail limit or include received/sent filters to capture more context (mind rate limits). Brand voice:** Add a short style guide to the email generator’s system prompt (e.g., sentence length, jargon rules, sign-off). Offer variants:** Replace product_to_sell per segment, or branch by industry to load different value props. Compliance & privacy:** Limit stored outputs to essentials; avoid copying sensitive content from threads verbatim. Auto-send option:** Swap the draft step for “send email” if you want hands-off delivery for known segments.

Google Email Ice Breaker Workflow Description This n8n workflow automates the creation of personalized cold emails for dental clinics to promote an AI chatbot service. It retrieves verified email data from a Google Sheet, generates tailored email subject lines and bodies using OpenAI’s GPT-4o-mini model, processes the output, and updates the Google Sheet with the results. Designed for dental clinics or marketers, it streamlines outreach by crafting engaging, seemingly hand-researched emails that drive appointment bookings through an AI chatbot integration. Key Features Data-Driven Outreach: Pulls verified emails, company names, descriptions, and websites from a Google Sheet to create targeted emails. AI-Powered Email Generation: Uses OpenAI’s GPT-4o-mini to craft concise, persuasive, and personalized cold email content. Personalization: Shortens company names and locations (e.g., "San Fran" instead of "San Francisco") and references specific business details for a tailored feel. Batch Processing: Handles multiple prospects efficiently using a looping mechanism. Google Sheet Integration: Updates the sheet with generated email subjects, bodies, and a status marker for tracking. Customizable Prompts: Easily modify the AI prompt to adapt the tone or service offering for different industries. Requirements Credentials: Google Sheets OAuth2 API (for data access) and OpenAI API (for email generation). Setup: Configure a Google Sheet with columns for "EMAIL verified", "companyName", "description", "website", "category", "email subject", "body", and "email created". Ensure the sheet is accessible via your Google account. Dependencies: No external packages required; uses n8n’s built-in Google Sheets, OpenAI, and Code nodes. How It Works Trigger & Input: Starts manually (e.g., via "Test workflow") and retrieves data from a Google Sheet, filtering for rows where "category" is "Good" and "email created" is "no". Batch Processing: Loops over filtered rows to process each prospect individually. Email Generation: OpenAI generates a JSON output with a subject and body, personalized using the prospect’s company name, description, and website. Content Processing: A Code node cleans and parses the AI output, extracting the subject and body. Sheet Update: Updates the Google Sheet with the generated subject, body, and sets "email created" to "yes". Looping: Continues processing until all prospects are handled. Benefits Time Efficiency: Automates cold email creation, reducing manual effort from hours to minutes. Personalized Outreach: Crafts emails that feel deeply researched, increasing engagement rates. Scalability: Processes large lists of prospects in batches, ideal for high-volume campaigns. Tracking: Updates the Google Sheet to track which emails have been generated. Versatility: Adaptable for other industries by modifying the AI prompt or Google Sheet structure. Potential Customizations Prompt Adjustments: Tweak the OpenAI prompt to target different services (e.g., marketing tools, SaaS products) or industries. Filter Modifications: Change Google Sheet filters to target specific prospect categories or regions. Output Expansion: Add nodes to send emails directly or integrate with CRMs like HubSpot. Notifications: Include email or Slack notifications when the workflow completes.

Automatically Rename Gmail Attachments with AI and Save to Google Drive Who is this for? This workflow is perfect for anyone who regularly receives important email attachments like reports, invoices, or PDFs and wants them: Renamed using clean AI generated filenames Automatically saved to a specific Google Drive folder Neatly organized without manual work It is ideal for freelancers, business owners, accountants, and productivity enthusiasts. What does it solve? Manually naming and organizing email attachments takes time and often leads to messy files. This workflow solves that by: Automatically downloading unread Gmail attachments Using AI to understand the content and generate clean, consistent filenames Saving the renamed files to your chosen Google Drive folder Marking emails as read after processing No more confusing filenames like "Attachment 1.pdf". How it works The workflow runs on a scheduled interval (every hour by default) It checks Gmail for any unread emails with attachments. For each email: Downloads attachments Extracts and reads PDF content Uses AI to generate a new filename in the format: YYYYMMDD-keyword-summary.pdf Saves the file to Google Drive with the new name Marks the email as read to avoid duplicates How to set up? Connect these accounts in your n8n credentials: Gmail (OAuth2) Google Drive (OAuth2) OpenAI (API key) Update the folder URL in the Google Drive node to your target folder Optional: adjust the trigger interval if you want it to run more or less often How to customize this workflow to your needs Change the AI prompt to create different naming rules, such as including sender or topic Dynamically set Drive folders based on email sender or subject

Overview This n8n workflow automatically converts and enhances multiple photos into professional ID-style portraits using Gemini AI (Nano Banana). It processes images in batch from Google Drive, applies professional ID photo standards (proper framing, neutral background, professional attire), and outputs the enhanced photos back to Google Drive. Input: Google Drive folder with photos Output: Professional ID-style portraits in Google Drive output folder The workflow uses a simple form interface where users provide Google Drive folder URLs and an optional custom prompt. It automatically fetches all images from the input folder, processes each through the Defapi API with Google's nano-banana model, monitors generation status, and uploads finished photos to the output folder. Perfect for HR departments, recruitment agencies, or anyone needing professional ID photos in bulk. Prerequisites A Defapi account and API key (Bearer token configured in n8n credentials): Sign up at Defapi.org An active n8n instance with Google Drive integration Google Drive account with two public folders: Input folder: Contains photos to be processed (must be set to public/anyone with the link) Output folder: Where enhanced photos will be saved (must be set to public/anyone with the link) Photos with clear faces (headshots or upper body shots work best) Setup Instructions 1. Prepare Google Drive Folders Create two Google Drive folders: One for input photos (e.g., https://drive.google.com/drive/folders/xxxxxxx) One for output photos (e.g., https://drive.google.com/drive/folders/yyyyyy) Important: Make both folders **public (set sharing to "Anyone with the link can view") Right-click folder → Share → Change "Restricted" to "Anyone with the link" Upload photos to the input folder (supported formats: .jpg, .jpeg, .png, .webp) 2. Configure n8n Credentials Defapi API**: Add HTTP Bearer Auth credential with your Defapi API token (credential name: "Defapi account") Google Drive**: Connect your Google Drive OAuth2 account (credential name: "Google Drive account"). See https://docs.n8n.io/integrations/builtin/credentials/google/oauth-generic/ 3. Run the Workflow Execute the workflow in n8n Access the form submission URL Fill in the form: Google Drive - Input Folder URL: Paste your input folder URL Google Drive - Output Folder URL: Paste your output folder URL Prompt (optional): Customize the AI generation prompt or leave blank to use the default 4. Monitor Progress The workflow will: Fetch all images from the input folder Process each image through the AI model Wait for generation to complete (checks every 10 seconds) Download and upload enhanced photos to the output folder Workflow Structure The workflow consists of the following nodes: On form submission (Form Trigger) - Collects Google Drive folder URLs and optional prompt Search files and folders (Google Drive) - Retrieves all files from the input folder Code in JavaScript (Code Node) - Prepares image data and prompt for API request Send Image Generation Request to Defapi.org API (HTTP Request) - Submits generation request for each image Wait for Image Processing Completion (Wait Node) - Waits 10 seconds before checking status Obtain the generated status (HTTP Request) - Polls API for completion status Check if Image Generation is Complete (IF Node) - Checks if status is not "pending" Format and Display Image Results (Set Node) - Formats result with markdown and image URL HTTP Request (HTTP Request) - Downloads the generated image file Upload file (Google Drive) - Uploads the enhanced photo to the output folder Default Prompt The workflow uses this professional ID photo generation prompt by default: Create a professional portrait suitable for ID documentation with proper spacing and composition. Framing: Include the full head, complete shoulder area, and upper torso. Maintain generous margins around the subject without excessive cropping. Outfit: Transform the existing attire into light business-casual clothing appropriate for the individual's demographics and modern style standards. Ensure the replacement garment appears natural, properly tailored, and complements the subject's overall presentation (such as professional shirt, refined blouse, contemporary blazer, or sophisticated layered separates). Pose & Gaze: Position shoulders square to the camera, maintaining perfect frontal alignment. Direct the gaze straight ahead into the lens at identical eye height, avoiding any angular deviation in vertical or horizontal planes. Expression: Display a professional neutral demeanor or subtle closed-lip smile that conveys confidence and authenticity. Background: Utilize a solid, consistent light gray photographic background (color code: #d9d9d9) without any pattern, texture, or tonal variation. Lighting & Quality: Apply balanced studio-quality illumination eliminating harsh contrast or reflective artifacts. Deliver maximum resolution imagery with precise focus and accurate natural skin color reproduction. Customization Tips for Different ID Photo Types Based on the default prompt structure, here are specific customization points for different use cases: 1. Passport & Visa Photos Key Requirements: Most countries require white or light-colored backgrounds, neutral expression, no smile. Prompt Modifications: Background**: Change to Plain white background (#ffffff) or Light cream background (#f5f5f5) Expression**: Change to Completely neutral expression, no smile, mouth closed, serious but not tense Framing**: Add Head size should be 70-80% of the frame height. Top of head to chin should be prominent Outfit**: Change to Replace with dark formal suit jacket and white collared shirt or Navy blue blazer with light shirt Additional**: Add No glasses glare, ears must be visible, no hair covering the face 2. Corporate Employee ID / Work Badge Key Requirements: Professional but approachable, company-appropriate attire. Prompt Modifications: Background**: Use company color or standard #e6f2ff (light blue), #f0f0f0 (light gray) Expression**: Keep Soft closed-mouth smile — confident and approachable Outfit**: Change to specific dress code: Corporate: Dark business suit with tie for men, blazer with blouse for women Tech/Startup: Smart casual polo shirt or button-down shirt without tie Creative: Clean, professional casual clothing that reflects company culture Framing**: Use default or add Upper chest visible with company badge area clear 3. University/School Student ID Key Requirements: Friendly, youthful, appropriate for educational setting. Prompt Modifications: Background**: Use school colors or Light blue (#e3f2fd), Soft gray (#f5f5f5) Expression**: Change to Friendly natural smile or pleasant neutral expression Outfit**: Change to Replace with clean casual clothing — collared shirt, polo, or neat sweater. No logos or graphics Framing**: Keep default Additional**: Add Youthful, fresh appearance suitable for educational environment 4. Driver's License / Government ID Key Requirements: Strict standards, neutral expression, specific background colors. Prompt Modifications: Background**: Check local requirements — often White (#ffffff), Light gray (#d9d9d9), or Light blue (#e6f2ff) Expression**: Change to Neutral expression, no smile, mouth closed, eyes fully open Outfit**: Use Replace with everyday casual or business casual clothing — collared shirt or neat top Framing**: Add Head centered, face taking up 70-80% of frame, ears visible Additional**: Add No glasses (or non-reflective lenses), no headwear except religious purposes, natural hair 5. Professional LinkedIn / Resume Photo Key Requirements: Polished, confident, approachable. Prompt Modifications: Background**: Use Soft gray (#d9d9d9) or Professional blue gradient (#e3f2fd to #bbdefb) Expression**: Keep Confident, warm smile — professional yet approachable Outfit**: Change to: Executive: Premium business suit, crisp white shirt, tie optional Professional: Tailored blazer over collared shirt or elegant blouse Creative: Smart business casual with modern, well-fitted clothing Framing**: Change to Show head, full shoulders, and upper chest. Slightly more relaxed framing than strict ID photo Lighting**: Add Soft professional lighting with slight catchlight in eyes to appear engaging 6. Medical/Healthcare Professional Badge Key Requirements: Clean, trustworthy, professional medical appearance. Prompt Modifications: Background**: Use Clinical white (#ffffff) or Soft medical blue (#e3f2fd) Expression**: Change to Calm, reassuring expression with gentle smile Outfit**: Change to Replace with clean white lab coat over professional attire or Medical scrubs in appropriate color (navy, ceil blue, or teal) Additional**: Add Hair neatly pulled back if long, clean professional appearance, no flashy jewelry 7. Gym/Fitness Membership Card Key Requirements: Casual, recognizable, suitable for athletic environment. Prompt Modifications: Background**: Use Bright white (#ffffff) or gym brand color Expression**: Change to Natural friendly smile or neutral athletic expression Outfit**: Change to Replace with athletic wear — sports polo, performance t-shirt, or athletic jacket in solid colors Framing**: Keep default Additional**: Add Casual athletic appearance, hair neat General Customization Parameters Background Color Options: White: #ffffff (passport, visa, formal government IDs) Light gray: #d9d9d9 (default, versatile for most purposes) Light blue: #e6f2ff (corporate, professional) Cream: #f5f5dc (warm professional) Soft blue-gray: #eceff1 (modern corporate) Expression Variations: Strict Neutral**: "Completely neutral expression, no smile, mouth closed, serious but relaxed" Soft Smile**: "Very soft closed-mouth smile — confident and natural" (default) Friendly Smile**: "Warm natural smile with slight teeth showing — approachable and professional" Calm Professional**: "Calm, composed expression with slight pleasant demeanor" Clothing Formality Levels: Formal**: "Dark suit, white dress shirt, tie for men / tailored suit or blazer with professional blouse for women" Business Casual** (default): "Light business-casual outfit — clean shirt/blouse, lightweight blazer, or smart layers" Smart Casual**: "Collared shirt, polo, or neat sweater in solid professional colors" Casual**: "Clean, neat casual top — solid color t-shirt, casual button-down, or simple blouse" Framing Adjustments: Tight Crop**: "Head and shoulders only, face fills 80% of frame" (passport style) Standard Crop** (default): "Entire head, full shoulders, and upper chest with balanced space" Relaxed Crop**: "Head, shoulders, and chest visible, with more background space for professional portraits"

Invoice Automation Kit: AI-Powered Invoice Processing and Weekly Reports This n8n workflow is designed to automate invoice processing and streamline financial management. It leverages AI to extract key invoice data, validate it, and store it in Airtable. Additionally, it generates and emails weekly spending reports. Who is it for? This template is for small businesses, freelancers, or individuals looking to save time on manual invoice processing. It's ideal for anyone who wants to improve the accuracy of their financial data and maintain a clear overview of their spending. How it Works / What it Does This workflow consists of two main parts: Invoice Data Extraction and Storage: Invoice Upload Form: Upload your invoices (PDF, PNG, JPG) via an n8n form. AI-Powered Data Extraction: AI extracts key information such as vendor name, invoice date, total amount, currency, and line items (description, quantity, unit price, total) from the uploaded invoice. Data Validation: The extracted data is validated to ensure it is complete and accurate. Store in Airtable: Validated invoice data is saved in a structured format to your specified Airtable base and table. Weekly Spending Report Generation and Email: Weekly Report Schedule: Automatically triggers every Sunday at 6 PM. Fetch Weekly Invoices: Retrieves all invoices stored in Airtable within the last 7 days. AI-Powered Spending Report Generation: Based on the retrieved invoice data, AI generates a comprehensive spending report, including total spending for the week, breakdown by vendor, top 5 expenses, spending trends, and any notable observations. Send Weekly Report Email: The generated report is sent in a professional format to the configured recipient email address. How to Set Up Update Workflow Configuration Node: Replace airtableBaseId with your Airtable Base ID. Replace airtableTableId with your Airtable Table ID. Replace reportRecipientEmail with the email address that should receive the weekly reports. Airtable Credentials: Set up your Airtable Personal Access Token credentials in the Airtable nodes. OpenAI Credentials: Set up your OpenAI API key credentials in the OpenAI Chat Model nodes. Email Credentials: Configure your email sending service (e.g., SMTP) credentials in the "Send Weekly Report Email" node and update the fromEmail. Airtable Table Setup: Ensure your Airtable has a table set up with appropriate columns to store invoice data, such as "Vendor", "Invoice Date", "Total Amount", "Currency", and "Line Items". Requirements An n8n instance An OpenAI account and API key An Airtable account and Personal Access Token An email sending service (e.g., SMTP server) How to Customize the Workflow Adjust Information Extraction**: Edit the prompt in the "Extract Invoice Data" node to include additional information you wish to extract. Customize Report**: Adjust the prompt in the "Generate Spending Report" node to change specific analyses or formatting included in the report. Add Notifications**: Incorporate notification nodes to other services like Slack or Microsoft Teams to be alerted when an invoice is uploaded or a report is ready. Modify Validation Rules**: Edit the conditions in the "Validate Invoice Data" node to implement additional validation rules. Here's a visual representation of the workflow.

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow allows users to extract sitemap links using ScrapingBee API. It only needs the domain name www.example.com and it automatically checks robots.txt and sitemap.xml to find the links. It is also designed to recursively run the workflow when new .xml links are found while scraping the sitemap. How It Works Trigger: The workflow waits for a webhook request that contains domain=www.example.com It then looks for robots.txt file, if not found it checks sitemap.xml Once it finds xml links, it recursively scrapes them to extract the website links For each xml file, first it checks whether it's a binary file and whether it's a compressed xml If it's a text response, it directly runs a code that extracts normal website link and another code to extract xml links If it's a binary that is not compressed, it just extracts text from the binary and then extract webiste links and xml links If it's a compressed binary, it first decompresses it and then extracts the text and then the links and xml After extracting website links, it appends those links directly to a sheet After extracting xml links, it scrapes them recursively until it finds all website links When the workflow is finished, you will see the output in the links column of the Google Sheet that we added to the workflow. Set Up Steps Get your ScrapingBee API Key here Create a new google sheet with an empty column named links. Connect to the sheet by signing in using your Google Credential and add the link to your sheet. Copy the webhook url, and send a GET request with domain as query parameter. Example: curl "https://webhook_link?domain=scrapingbee.com" Customisation Options If the website you are scraping is blocking your request, you can try using premium or stealth proxy in Scrape robots.txt file, Scrape sitemap.xml file, and Scrape xml file nodes. If you wish to store the data in a different app/tool or store it as a file, you would just need to replace Append links to sheet node with a relevant node. Next Steps If you wish to scrape the pages using the extracted links, then you can implement a new workflow that reads the sheet or file (output generated by this workflow) for links and for each link send a request to ScrapingBee's HTML API and save the returned data. NOTE: Some heavy sitemaps could result in a crash if the workflow consumes more memory than what is available in your n8n plan or self-hosted system. If this happens, we would recommend you to either upgrade your plan or use a self-hosted solution with a higher memory.