Workflow Templates

Automatically identify ICP matches by enriching basic company records with Sona Enrich data—combining web scraping, AI analysis, and the structured attributes that define your ideal customer. Import company domains from a Google Sheet, automatically analyze their websites with AI, enrich them with firmographic data via Sona Enrich, and sync the results to HubSpot—so you can quickly discover and target your ideal customers. How it works Step 1: Data Input & Web Scraping Reads company domains from your Google Sheet Scrapes each website's content via HTTP requests Extracts and cleans HTML content Removes navigation, footers, and noise Step 2: AI Analysis Sends cleaned content to OpenAI Chat Model Extracts structured company intelligence (industry, positioning, features, personas) Captures and analyzes pricing, pros/cons, and value propositions Aggregates all AI results into standardized format Advanced users: You can modify the data that's generated and then add custom fields to HubSpot Step 3: HubSpot Preparation Creates custom fields in HubSpot CRM Prepares AI-extracted data for import Splits aggregated data into individual company records Ready for batch processing Step 4: Enrich & Sync to HubSpot Loops through each company one by one Enriches with the Sona API (firmographics, revenue, employees, funding, and more) Creates company record in HubSpot Formats and populates all custom fields Combines AI insights + Sona data in one complete profile What you'll get The workflow enriches each company record with: Web-Scraped Intelligence**: Business descriptions, features, and positioning directly from their website AI-Analyzed Insights**: Value propositions, target personas, pricing models, and competitive advantages interpreted by AI Firmographic Data**: Company size, employee count, revenue estimates, headquarters location, and more via Sona Enrich Technographic Data**: Technology stack, platforms, and tools the company uses Industry Classification**: Precise industry categorization and market type (B2B/B2C) Funding & Growth**: Investment rounds, funding status, and growth indicators Custom HubSpot Properties**: All data automatically mapped and synced to your CRM for immediate use Why use this Complete intelligence gathering**: Combines three powerful data sources (web scraping, AI, and Sona enrichment) for maximum insight depth Personalize at scale**: Leverage actual company intelligence to craft relevant, informed outreach that resonates Intelligent segmentation**: Build precise account lists by industry, tech stack, business model, or company size Accelerate research**: Eliminate hours of manual company investigation—save 15-30 minutes per prospect Improve conversion**: Engage prospects with context-rich conversations that demonstrate deep understanding Enhanced lead scoring**: Build sophisticated scoring models with comprehensive firmographic and technographic signals Automated updates**: Keep HubSpot records current with scheduled enrichment runs (daily/weekly) Setup instructions Before you start, you'll need: Google Sheet with company websites (column named "Website Domain") OpenAI API key for AI analysis (sign up here) Sona API credentials (get access here) Get an app token from HubSpot by creating a legacy app: Go to HubSpot Settings > Integrations > Legacy Apps Click Create Legacy App Select Private (for one account) In the scopes section, enable the following permissions: crm.schemas.companies.write crm.objects.companies.write crm.schemas.companies.read Click Create Copy the access token from the Auth tab n8n cloud or self-hosted instance Configuration steps: Prepare your data: Create a Google Sheet with a "Website Domain" column and add 2-3 test companies (e.g., example.com) Connect Google Sheets: In the "Get row(s) in sheet" node, authenticate and select your spreadsheet and sheet name Configure web scraping: Update the HTTP Request node with your preferred scraping method or data source URL Set up AI Agent: Add your OpenAI API key and customize the extraction prompt to define which company fields you want (industry, personas, features, etc.) Create HubSpot custom fields: Review the "Create Custom HubSpot Fields" node and adjust property names to match your CRM structure Add Sona credentials: In the "Sona Enrich" node within the loop, authenticate with your Sona API key Connect HubSpot: Authenticate in both "Create a Company" nodes using your HubSpot API key or OAuth2 Map enriched data: In the "Format Custom Properties" node, configure how Sona and AI data maps to your HubSpot fields Test with sample data: Run the workflow with 2-3 test companies and verify records appear correctly in HubSpot with all custom properties populated Add error handling: Configure notifications for failed enrichments or API errors (optional but recommended) Scale and automate: Process your full company list, then optionally add a Schedule Trigger for automatic daily or weekly enrichment

This n8n template demonstrates how to create consistent character videos using AI image and video generation. The workflow generates photorealistic videos featuring the same character across different poses, locations, and outfits, maintaining perfect character consistency throughout cinematic transitions. Use cases are many: Create consistent character content for social media, generate cinematic videos for brand campaigns, produce lifestyle content with the same character, automate video content creation for TikTok/Instagram, create character-based storytelling videos, or scale video production with consistent visual identity! Good to know The workflow maintains perfect character consistency across frames using reference images Uses multiple AI services: GPT-4o for prompt generation, Google Nano Banana Edit for image generation, and Veo 3.1 for video creation Features 100 unique locations (beaches, cities, cafes, rooftops, etc.) and 15 different poses KIE.AI pricing: Check current rates for Veo 3.1 and Nano Banana Edit models Processing time: ~5-10 minutes per complete video (depends on AI service queue) Output format: 9:16 aspect ratio videos optimized for TikTok/Instagram Automatically generates social media content (titles, descriptions, hashtags) using GPT-4o Includes AI disclosure labels for TikTok compliance How it works Location & Pose Selection: Randomly selects one location from 100 options and 3 unique poses from 15 options AI Story Creation: GPT-4o generates cinematic prompts for first frame, last frame, and video motion while maintaining character identity from reference images Start Frame Generation: Google Nano Banana Edit creates the first frame image with character in initial pose, location, and outfit End Frame Generation: Nano Banana Edit generates the final frame using start frame as reference, changing only pose/expression while maintaining consistency Video Generation: Veo 3.1 creates smooth cinematic video transition between frames with natural character movement Content Creation: GPT-4o generates engaging title, description, and hashtags for social media Auto-Publishing: Automatically posts to TikTok (with AI disclosure) and Instagram, plus sends previews via Telegram The workflow ensures the same character appears in both frames with identical facial features, hair, skin tone, and overall appearance, while only pose and expression change. The video features dynamic camera movements (arc shots, dolly pushes, crane rises, etc.) for cinematic quality. How to use Setup Credentials: Configure OpenAI API, KIE.AI API, Blotato API, and Telegram Bot credentials Add Reference Images: Update the 5 reference image URLs in the "Create Start Frame" node with your character images Configure Social Media: Set up Blotato accounts for TikTok and Instagram posting Set Telegram Chat ID: Replace YOUR_TELEGRAM_CHAT_ID with your Telegram chat ID for previews Deploy Workflow: Import the template and activate the workflow Trigger Generation: Use the schedule trigger (default: every 6 hours) or replace with manual/webhook trigger Receive Content: Get previews via Telegram and published posts on TikTok & Instagram Pro tip: The workflow uses 5 reference images to maintain character consistency. For best results, use clear, high-quality photos of your character from different angles. The workflow automatically handles character identity preservation across all generated content. Requirements OpenAI API** account for GPT-4o prompt generation and social media content creation KIE.AI API** account for Veo 3.1 video generation and Google Nano Banana Edit image generation Blotato API** account for TikTok and Instagram posting automation Telegram Bot** setup for preview delivery (optional but recommended) n8n** instance (cloud or self-hosted) Reference Images:** 5 high-quality images of your character (URLs or hosted images) Customizing this workflow Character Variations: Modify the reference images to create videos with different characters while maintaining the same workflow structure. Location Customization: Edit the location pool in the "Code in JavaScript" node to add or modify locations (currently 100 options). Pose Library: Expand or customize the pose library in the JavaScript code node (currently 15 poses with detailed guidance). Social Media Platforms: Add more platforms by duplicating the Blotato nodes and configuring additional accounts (YouTube, Facebook, etc.). Content Style: Adjust GPT-4o prompts in "Story Creator Agent" and "Title Description" nodes to change content tone, style, or language. Scheduling: Replace the schedule trigger with webhook, form, or manual trigger based on your needs. Video Settings: Modify Veo 3.1 parameters (aspect ratio, watermark, seeds) in the "Veo 3.1" node for different output formats. Batch Processing: Add loops to generate multiple videos with different location/pose combinations automatically.

This workflow automatically captures, enriches, scores, and routes website leads in real-time, scheduling high-intent prospects for demos within minutes instead of hours—dramatically improving conversion rates by eliminating response delays. What Makes This Different: Real-Time Lead Processing** - Captures and processes leads instantly from website forms with zero delay Intelligent Fit Scoring** - Automatically scores leads 0-100 based on company size, seniority, and revenue Dual-Track Routing** - High-intent leads (60+) get fast-track treatment, others follow standard nurture Live Calendar Integration** - Shows actual available Calendly slots, not fake placeholders Automated Sales Alerts** - Posts rich lead details to Slack with booking links instantly Smart Follow-Up** - Sends fallback email if sales team doesn't respond within 10 minutes Complete CRM Automation** - Creates HubSpot contacts and deals automatically with enriched data Full Audit Trail** - Logs everything to Google Sheets for analytics and reporting Key Benefits of Instant Lead Response: Speed** - Minutes from form submission to scheduled demo, not hours or days Conversion** - Respond while leads are hot, dramatically improving booking rates Automation** - Zero manual work—enrichment, scoring, routing, and follow-up all automatic Intelligence** - Data-driven scoring ensures sales focuses on best-fit prospects Accountability** - Complete logging shows response times and follow-up actions Scalability** - Handles unlimited lead volume without adding sales admin work Who's it for This template is designed for B2B SaaS companies, sales teams, and revenue operations professionals who need to convert website leads faster. It's perfect for organizations that lose deals due to slow response times, want to prioritize high-intent prospects, need to automate CRM data entry, or want to ensure no hot lead falls through the cracks while sales is busy. How it works / What it does This workflow creates an end-to-end lead-to-meeting pipeline that automatically processes inbound leads and schedules high-intent prospects for demos. The system: Receives lead submissions via webhook from website forms or chat widgets Normalizes data from different form providers into a standard format Enriches contact information using Clearbit to get company size, revenue, job title, and industry Calculates fit score (0-100) based on company metrics: size (40 pts), seniority (30 pts), revenue (30 pts) Routes intelligently - High-intent leads (60+) → fast track | Standard leads → nurture channel Creates CRM records - Automatically creates/updates HubSpot contact and deal with enriched data Fetches real availability - Gets actual available Calendly demo slots via API (next 7 days) Alerts sales team - Posts formatted message to Slack with lead details and booking links Monitors response - Waits 10 minutes and checks if sales replied in Slack thread Sends fallback email - Automatically emails lead with self-service booking link if no response Logs everything - Records all data to Google Sheets for reporting and analytics Key Innovation: Smart Follow-Up Automation - Unlike basic lead capture workflows, this system ensures accountability by automatically following up with leads if the sales team is unavailable, preventing lost opportunities while maintaining a professional response time. How to set up 1. Configure API Credentials Add the following credentials in n8n: Clearbit (Lead Enrichment) Create account at clearbit.com Generate API key from Settings → API Add as "Clearbit API" credential in n8n HubSpot (CRM Integration) Create private app in HubSpot Settings → Integrations → Private Apps Grant scopes: crm.objects.contacts.write, crm.objects.deals.write Copy app token Add as "HubSpot App Token" credential in n8n Calendly (Calendar Availability) Create OAuth app at calendly.com/integrations/api_webhooks Configure OAuth2 credentials in n8n Set environment variable: CALENDLY_USER_URI with your user URI Get this from: https://api.calendly.com/users/me (returns your user URI) Slack (Team Notifications) Create Slack app at api.slack.com/apps Add Bot Token Scopes: channels:read, chat:write, channels:history Install app to workspace and copy Bot User OAuth Token Add as "Slack API" credential in n8n Update channel names in nodes: change "hot-leads" and "leads" to your actual channel names SendGrid (Email Fallback) Create account at sendgrid.com Generate API key from Settings → API Keys Verify sender email address Add as "SendGrid API" credential in n8n Update "from" email in "Send Fallback Email" node Google Sheets (Activity Logging) Create Google Cloud project and enable Sheets API Configure OAuth2 credentials in n8n Create a Google Sheet with columns matching the workflow Replace YOUR_GOOGLE_SHEET_ID in "Log to Google Sheets" node with your actual sheet ID 2. Customize Fit Scoring Logic Edit the "Calculate Fit Score" node to match your ideal customer profile: Default Scoring: Company size 50-5,000 employees = 40 points Executive/Director seniority = 30 points Annual revenue ≥ $1M = 30 points Total possible:* 100 points | *High-intent threshold:** 60+ points To Customize: Adjust company size ranges based on your target market Change seniority requirements (C-level, VP, Manager, etc.) Modify revenue thresholds Update the 60-point threshold for high-intent routing 3. Set Up Webhook Endpoint Get Webhook URL: Activate the workflow Copy webhook URL from "Lead Form Webhook" node URL format: https://your-n8n-instance.com/webhook/demo-request Configure Form Provider: Point your website form POST request to the webhook URL Send JSON body with fields: email, name, company, phone, utm_source, utm_campaign, page_url, message Or map your existing form fields to these names in "Normalize Lead Data" node Example Form Integration: // HTML Form fetch('https://your-n8n.com/webhook/demo-request', { method: 'POST', headers: {'Content-Type': 'application/json'}, body: JSON.stringify({ email: 'lead@company.com', name: 'John Doe', company: 'Acme Inc', phone: '+1234567890', utm_source: 'google', page_url: window.location.href }) }) 4. Test the Workflow Initial Test: Activate the workflow Submit test lead via webhook (use Postman or curl) Verify Clearbit enrichment returns data Check HubSpot for created contact and deal Confirm Slack notification appears in correct channel Verify Google Sheet receives log entry Response Test: Wait 10 minutes after Slack notification Check if "Check Slack Replies" detects no response Verify fallback email sends via SendGrid Confirm lead receives booking email with Calendly link Calendly Test: Verify "Get Calendly Event Types" finds your Demo event Check "Get Available Demo Slots" returns actual time slots Confirm booking URLs work and pre-fill time selection 5. Monitor and Optimize Key Metrics to Track: Time from form submission to Slack notification (target: <30 seconds) Sales response rate within 10 minutes Fallback email send rate (lower is better) High-intent lead conversion rate (booked → closed) Average fit score of closed deals Optimization Tips: Adjust fit score weights based on actual conversion data Tune the 60-point threshold for high-intent routing Customize Slack message format for your team's workflow Modify wait time (10 minutes) based on team availability Add custom fields to Google Sheet for additional tracking Requirements n8n Instance: n8n Cloud or self-hosted (v1.0+) Code node execution enabled Webhook functionality active External Services: Clearbit** - Enrichment API (paid service, free trial available) HubSpot** - CRM with API access (free tier available) Calendly** - Scheduling platform with API access (paid plans) Slack** - Workspace with bot integration capability SendGrid** - Email API (free tier: 100 emails/day) Google Sheets** - Google account with Sheets API enabled Technical Requirements: Public webhook endpoint (HTTPS) Environment variable support for sensitive data OAuth2 authentication capability Minimum 256MB RAM for code node execution Data Privacy: Ensure GDPR/CCPA compliance for lead data storage Review data retention policies for all connected services Configure appropriate data handling in Google Sheets Add privacy policy link to email templates Tips and best practices Fit Scoring: Start with default scoring, then optimize based on actual conversion data Review monthly: which scores convert best? Adjust weights accordingly Consider adding industry filters for vertical-specific targeting Test different thresholds (50, 60, 70) to find optimal balance Lead Response: Keep 10-minute wait time during business hours Consider longer wait for after-hours leads (use schedule trigger) Customize Slack urgency based on fit score (🔥 for 80+, ⚡ for 60-79) Add @mentions in Slack for specific team members based on lead attributes Calendar Management: Use dedicated "Demo" event type in Calendly for consistent detection Ensure event name includes "demo" (case-insensitive) for workflow to find it Set appropriate buffer times between meetings in Calendly settings Review availability regularly to maintain high slot count Error Handling: All critical nodes have onError: continueRegularOutput to prevent workflow stops Monitor execution logs daily for failed enrichments or CRM errors Set up n8n error workflow to alert on consistent failures Keep fallback booking URL updated in case Calendly API fails Performance: Webhook responds immediately (within 2 seconds) even while processing continues Clearbit enrichment can take 3-5 seconds—this is expected Consider batching Google Sheets updates if processing >100 leads/day Monitor n8n resource usage; Code nodes can be memory-intensive Privacy and Compliance: Add unsubscribe link to fallback emails Include data handling disclosure in form Set Google Sheet permissions appropriately (team only) Review Clearbit's data sources for compliance requirements Configure data retention in HubSpot to match your policy Customization Ideas: Add SMS notification for ultra-high fit scores (90+) Integrate with territory routing (route to specific sales rep by region) Add lead source scoring (paid > organic > referral) Create separate tracks for different product lines Build competitor mention detection in form messages Add qualification questions that influence fit score

💼 Lead Outreach Agent This AI workflow helps you quickly react to new leads with an initial personalized outreach. A great start of your lead nurturing sequence to avoid loosing precious leads that could turn into paying customers. Most importantly it uses gotoHuman so you can review the AI-analysis and the AI-generated editable email draft before it is sent out in your name. How it works We receive a new form submission incl. the email address and company name of the prospect and extract the website URL from the address. We proceed only for company email addresses. We scrape the website using Firecrawl and summarize it with OpenAI Our AI agent runs an analysis based on the lead information and documents describing our own company and the defined Ideal Customer Profiles. It also fetches previously approved examples from gotoHuman so you're effectively creating a self-learning agent. It responds with the analysis and the drafted outreach email. Human Approval in gotoHuman. Allows editing the drafted email. We can now send our email including any edits made during the review and be sure that we are using high-quality content instead of AI slop. How to set up Most importantly, install the gotoHuman node before importing this template! (Just add the node to a blank canvas before importing) Set up your credentials for the different services In gotoHuman, select and create the pre-built review template "Lead Outreach Agent" or import the ID: T873fI1Xli5nt3eh33Rj Select this template in the gotoHuman node Requirements You need accounts for gotoHuman (Human Supervision) OpenAI (AI Agent) Typeform (Lead Form Submissions) Firecrawl (Website Scraping) Gmail Google Docs (Company Wiki) How to customize Replace the Typeform trigger with any other way you might receive or find new leads Provide the AI Sales Agent with more context to properly analyze the lead and create better personalized emails. Consider adding tools that allow the agent to fetch more infos about the prospect's company or personal profile, or to find out more about your specific product/service offerings and how your sales pitches look like.

Decodo Scraper API Workflow Template (n8n Automation Amazon Book Purchase Report) Watch the demo video below: > This workflow demos how to use Decodo Scraper API to crawl any public web page (headless JS, device emulation: mobile/desktop/tablet), extract structured product data from the returned HTML, generate a purchase-ready report, and automatically deliver it as a Google Doc + PDF to Slack/Drive. Who’s it for Creators / Analysts** who need quick product lists (books, gadgets, etc.) with prices/ratings. Ops & Marketing teams** building weekly “top picks” reports. Engineers** validating the Decodo Scraper API + LLM extraction pattern before scaling. How it works / What it does Trigger – Manually run the workflow. Edit Fields (manual) – Provide inputs: targetUrl (e.g., an Amazon category/search/listing page) deviceType (desktop | mobile | tablet) Optional: maxItems, notes, reportTitle, reportOwner Scraper API Request (HTTP Request → POST) Calls Decodo Scraper API with: URL to crawl, headless JS enabled Device emulation (UA + viewport) Optional waitFor / executeJS to ensure late-loading content is captured HTML Response Parser (Code/Function or HTML node) Pulls the HTML string from Decodo response and normalizes it (strip scripts/styles, collapse whitespace). Product Analyzer Agent (LLM + Structured Output Parser) Prompts an LLM to extract structured “book” objects from the HTML: The Structured Output Parser enforces a strict JSON schema and drops malformed items. Build 📚 Book Purchase Report (Code/LLM) Converts the JSON array into a Markdown (or HTML) report with: Executive summary (top picks, average price/rating) Table of items (rank, title, author, price, rating, link) “Recommended to buy” shortlist (rules configurable) Notes / owner / timestamp Configure Google Drive Folder (manual) Choose/create a Drive folder for output artifacts. Create Document File (Google Docs API) Creates a Doc from the generated Markdown/HTML. Convert Document to PDF (Google Drive export) Exports the Doc to PDF. Upload report to Slack Sends the PDF (and/or Doc link) to a chosen Slack channel with a short summary. How to set up 1 Prerequisites n8n** (self-hosted or Cloud) Decodo Scraper API** key OpenAI (or compatible) API key** for the Analyzer Agent Google Drive/Docs** credentials (OAuth2) Slack** Bot/User token (files:write, chat:write) 2 Environment variables (recommended) DECODO_API_KEY OPENAI_API_KEY DRIVE_FOLDER_ID (optional default) SLACK_CHANNEL_ID 3 Nodes configuration (high level) Edit Fields (Set node) Scraper API Request (HTTP Request → POST) HTML Response Parser (Code node) Product Analyzer Agent Build Book Purchase Report (Code/LLM) Create Document File Convert to PDF Upload to Slack Requirements Decodo**: Active API key and endpoint access. Be mindful of concurrency/rate limits. Model**: GPT-4o/4.1-mini or similar for reliable structured extraction. Google**: OAuth client (Docs/Drive scopes). Ensure n8n can write to the target folder. Slack**: Bot token with files:write + chat:write. How to customize the workflow Target site: Change targetUrl to any **public page (category, search, or listing). For other domains (not Amazon), tweak the LLM guidance (e.g., price/label patterns). Device emulation**: Switch deviceType to mobile to fetch mobile-optimized markup (often simpler DOMs). Late-loading pages**: Adjust waitFor.selector or use waitUntil: "networkidle" (if supported) to ensure full content loads. Client-side JS**: Extend executeJS if you need to interact (scroll, click “next”, expand sections). You can also loop over pagination by iterating URLs. Extraction schema**: Add fields (e.g., discount_percent, bestseller_badge, prime_eligible) and update the Structured Output schema accordingly. Filtering rules**: Modify recommendation logic (e.g., min ratings count, price bands, languages). Report branding**: Add logo, cover page, footer with company info; switch to HTML + inline CSS for richer Docs formatting. Destinations**: Besides Slack & Drive, add Email, Notion, Confluence, or a database sink. Scheduling: Add a **Cron trigger for weekly/monthly auto-reports.

Workflow Overview This workflow automates the process of creating and publishing engaging Facebook posts that teach Chinese words to a Thai-speaking audience. It integrates multiple AI models, APIs, and tools to generate content, create visuals, and publish posts seamlessly. Below is a detailed breakdown of the workflow: Who Is This Template For? Social Media Managers: Teams managing Facebook pages and looking for automated, engaging content creation. Content Creators: Professionals who want to streamline the process of generating educational and visually appealing posts. Language Enthusiasts: Individuals or organizations teaching languages (e.g., Chinese) to a Thai-speaking audience. What Problem Does This Workflow Solve? Creating engaging social media content manually can be time-consuming and inconsistent. This workflow solves that by: Automating the generation of educational posts in Thai with Chinese vocabulary. Creating visually appealing images tailored to the post's theme. Publishing posts directly to Facebook using the Pages API. What This Workflow Does Input Handling The workflow starts with an input word (e.g., received via chat or fetched from a Google Sheet). The input is split into two variables (word and input) to ensure data persistence throughout the workflow. Generate Text Content An AI model (OpenRouter Chat Model) generates a structured Facebook post in Thai, including: Engaging hook Core vocabulary (Chinese word, Pinyin, and Thai meaning) Real-world usage examples Pro-tip or fun fact Call-to-action for engagement Relevant hashtags Describe Image Concept Another AI model creates a brief description of the visual theme for the post. This description is used as input for generating an image. Generate Image The workflow uses Recraft.ai to generate an image based on the description. The image is styled consistently using predefined themes (e.g., digital illustration). Publish Post The generated text and image are published to Facebook using the Pages API. The post includes: The educational content as the caption. The generated image as the visual element. Setup Guide Pre-Requisites Access to the following APIs: OpenRouter.ai: For generating text content and image descriptions. Recraft.ai: For generating images. Facebook Graph API: For publishing posts. Step-by-Step Setup Configure Input Source: Replace the chat input node with your preferred source (e.g., Google Sheet, email, or manual input). Set Up OpenRouter.ai: Configure the credentials for OpenRouter.ai in the respective nodes (OpenRouter Chat Model and OpenRouter Chat Model1). Set Up Recraft.ai: Add your API key for Recraft.ai in the Generate Image (Recraft.ai) node. Configure Facebook Graph API: Set up the Facebook Graph API credentials with the required permissions (pages_manage_posts, pages_read_engagement, etc.). Update the page_id and graphApiVersion in the Facebook Graph API node. Test the Workflow: Run the workflow manually to verify that it generates content, creates images, publishes posts, and logs details correctly. How to Customize This Workflow to Your Needs Change Input Source: Replace the chat input with a Google Sheet, email, or database query. Modify Content Style: Adjust the AI prompts to suit your audience (e.g., professional tone, casual language). Use Different Image Styles: Experiment with other styles/themes in Recraft.ai for the generated images. Expand Use Cases: Adapt the workflow to other social media platforms (e.g., Instagram, LinkedIn) by modifying the API calls. Why Use This Template? Efficiency: Automates repetitive tasks like content creation and image generation. Consistency: Ensures posts follow a consistent format and style. Engagement: Creates visually appealing and interactive content to boost audience engagement. Scalability: Easily adaptable for different topics, languages, or platforms. Additional Resources

💥 Viral TikTok Video Machine: Auto-Create Videos with Your AI Avatar 🎯 Who is this for? This workflow is for content creators, marketers, and agencies who want to use Veed.io’s AI avatar technology to produce short, engaging TikTok videos automatically. It’s ideal for creators who want to appear on camera without recording themselves, and for teams managing multiple brands who need to generate videos at scale. ⚙️ What problem this workflow solves Manually creating videos for TikTok can take hours — finding trends, writing scripts, recording, and editing. By combining Veed.io, ElevenLabs, and GPT-4, this workflow transforms a simple Telegram input into a ready-to-post TikTok video featuring your AI avatar powered by Veed.io — speaking naturally with your cloned voice. 🚀 What this workflow does This automation links Veed.io’s video-generation API with multiple AI tools: Analyzes TikTok trends via Perplexity AI Writes a 10-second viral script using GPT-4 Generates your voiceover via ElevenLabs Uses Veed.io (Fabric 1.0 via FAL.ai) to animate your avatar and sync the lips to the voice Creates an engaging caption + hashtags for TikTok virality Publishes the video automatically via Blotato TikTok API Logs all results to Google Sheets for tracking 🧩 Setup Telegram Bot Create your bot via @BotFather Configure it as the trigger for sending your photo and theme Connect Veed.io Create an account on Veed.io Get your FAL.ai API key (Veed Fabric 1.0 model) Use HTTPS image/audio URLs compatible with Veed Fabric Other APIs Add Perplexity, ElevenLabs, and Blotato TikTok keys Connect your Google Sheet for logging results 🛠️ How to customize this workflow Change your Avatar:* Upload a new image through Telegram, and *Veed.io** will generate a new talking version automatically. Modify the Script Style:** Adjust the GPT prompt for tone (educational, funny, storytelling). Adjust Voice Tone:* Tweak *ElevenLabs** stability and similarity settings. Expand Platforms:** Add Instagram, YouTube Shorts, or X (Twitter) posting nodes. Track Performance:** Customize your Google Sheet to measure your most successful Veed.io-based videos. 🧠 Expected Outcome In just a few seconds after sending your photo and theme, this workflow — powered by Veed.io — creates a fully automated TikTok video featuring your AI avatar with natural lip-sync and voice. The result is a continuous stream of viral short videos, made without cameras, editing, or effort. ✅ Import the JSON file in n8n, add your API keys (including Veed.io via FAL.ai), and start generating viral TikTok videos starring your AI avatar today! 🎥 Watch This Tutorial 📄 Documentation: Notion Guide Need help customizing? Contact me for consulting and support : Linkedin / Youtube

This n8n template demonstrates a complete AI-driven content pipeline for social media. It automatically generates captions and hashtags for new product images, collects human approval via Telegram, and publishes approved content to Twitter. It’s ideal for marketers, e-commerce businesses, and creators who want to speed up content creation while keeping human oversight. How it works Trigger: The workflow starts when a new file is added to a specific Google Drive folder. File Analysis: The image is processed to extract product information. AI Captioning: Gemini generates a caption and five relevant hashtags based on the product. Telegram Approval: The image, caption, and hashtags are sent to the user for approval. ✅ If approved → The content is posted to Twitter and a confirmation is sent back via Telegram. 🔄 If regenerate → Gemini creates a new caption and hashtags, and the approval loop repeats. ❌ If discard → A message is sent on Telegram and the workflow ends. Requirements Google Drive account Gemini API credentials for captioning and hashtags Telegram bot for approvals Twitter Developer Account with API credentials Customising this workflow Swap Google Drive with Dropbox, Notion, or Airtable as the content source. Extend publishing to LinkedIn, Instagram, or multiple platforms. Add multi-user approval flows in Telegram for team-based decisions.

🧾 Automated Trip Expense Claim Form With OpenAI Agent & Google Drive Watch the demo video below: > This workflow is designed for employees who need to submit expense claims for business trips. It automates the process of extracting data from receipts/invoices, logging it to a Google Sheet, and notifying the finance team via email. 👤 Who’s it for Ideal users: Employees submitting business trip expense claims HR or Admins reviewing travel-related reimbursements Finance teams responsible for processing claims ⚙️ How it works / What it does Employee submits a form with trip information (name, department, purpose, dates) and uploads one or more receipts/invoices (PDF). Uploaded files are saved to Google Drive for record-keeping. Each PDF is passed to a DocClaim Assistant agent, which uses GPT-4o and a structured parser to extract structured invoice data. The data is transformed and formatted into a standard JSON structure. Two parallel paths are followed: Invoice records are appended to a Google Sheet for centralized tracking. A detailed HTML email summarizing the trip and expenses is generated and sent to the finance department for claim processing. 🛠 How to set up Create a form to capture: Employee Name Department Trip Purpose From Date / To Date Receipt/Invoice File Upload (multiple PDFs) Configure file upload node to store files in a specific Google Drive folder. Set up DocClaim Agent using: GPT-4o or any LLM with document analysis capability Output parser for standardizing extracted receipt data (e.g., vendor, total, tax, date) Transform extracted data into a structured claim record (Code Node). Path 1: Save records to a Google Sheet (one row per expense). Path 2: Format the employee + claim data into a dynamic HTML email Use Send Email node to notify the finance department (e.g., finance@yourcompany.com) ✅ Requirements n8n running with access to: Google Drive API (for file uploads) Google Sheets API (for logging expenses) Email node (SMTP or Gmail for sending) GPT-4o or equivalent LLM with document parsing ability PDF invoices with clear formatting Shared Google Sheet for claim tracking Optional: Shared inbox for finance team 🧩 How to customize the workflow Add approval steps**: route the email to a manager before finance Attach original PDFs**: include uploaded files in the email as attachments Localize for other languages**: adapt form labels, email content, or parser prompts Sync to ERP or accounting system**: replace Google Sheet with QuickBooks, Xero, etc. Set limits/validation**: enforce max claim per trip or required fields before submission Auto-tag expenses**: add categories (e.g., travel, accommodation) for better reporting

💥 Clone Video Ads Factory using NanoBanana, Kling and Publish with Blotato 📄 Documentation: Notion Guide Who is this for? This workflow is built for marketers, growth hackers, agencies, content creators, and automation builders who want to industrialize video ad production. Perfect for anyone running paid ads, social media campaigns, UGC-style content, dropshipping creatives, AI ad testing, or scalable content factories. What problem is this workflow solving? / Use case Creating high-performing video ads is: Slow Manual Expensive Hard to scale Hard to test in volume This workflow solves: ❌ Manual editing ❌ Manual prompt writing ❌ Manual scene creation ❌ Manual video assembly ❌ Manual audio integration ❌ Manual publishing It turns one input video + prompt into a fully automated ad production pipeline. What this workflow does This automation system acts as a full AI video ads factory: Step-by-step pipeline: Video Analysis Breaks down the source video into cinematic scenes Extracts structure, rhythm, composition, pacing, and visual logic Prompt Engineering Generates structured prompts for: Images Videos Music Captions Global script Scene structure Image Generation Uses NanoBanana to generate consistent AI images per scene Keeps visual identity across scenes Video Generation Uses Kling to generate cinematic video clips Scene-based video creation Video Merging Automatically merges all generated scenes into one final video Music Generation Generates a full song from prompt (AI music model) Audio + Video Merge Merges generated music with the final video Publishing Automatically publishes content using Blotato Creates posts and media assets ➡️ Result: Fully automated AI video ad production system Setup Required accounts: Airtable fal.ai AtlasCloud** Blotato** Initial configuration: Create Airtable base Add required fields: Original Video Avatar Image Product Image Status Prompts Scenes Music File Final Video Add API keys in the Setup nodes: AtlasCloud fal.ai Airtable Blotato Expected outcome You get a fully automated AI content factory that can: Clone ad styles Scale ad production Test creatives at scale Generate UGC-style ads Build content farms Automate marketing pipelines Create AI ad studios Run continuous ad experiments Typical use cases AI UGC ad factories Dropshipping ad automation SaaS promo videos Influencer content cloning Brand video scaling Marketing automation Ad testing labs Growth hacking pipelines AI content studios 👋 Need help or want to customize this? 📩 Contact: LinkedIn 📺 YouTube: @DRFIRASS 🚀 Workshops: Mes Ateliers n8n Need help customizing? Contact me for consulting and support : Linkedin / Youtube / 🚀 Mes Ateliers n8n

Do you want to create a website screenshot without browser extensions? This workflow creates screenshots of any website using the uProc Get Screenshot by URL tool and sends an email with the screenshots. You need to add your credentials (Email and API Key - real -) located at Integration section to n8n. Node "Create Web + Email Item" can be replaced by any other supported service returning Website and Email values, like Google Sheets, Mailchimp, MySQL, or Typeform. Every "uProc" node returns an image URL of the captured website. This generated URL will remain only 24 hours in our server. You can set up the uProc node with several parameters: width: you can choose one of the predefined values to generate the screenshot, or you can set up a custom width you want. full-page: the tool will return a screenshot of the website from top to bottom with the defined width. In our workflow, we generate two screenshots: 1) One screenshot of 640 pixels width. 2) One full-page screenshot of 640 pixels width. Screenshots are downloaded by "Get File" nodes and saved to the screenshots folder in Dropbox. Finally, we use the Amazon SES node to send an HTML email with both screenshots to the specified email. We will receive the next email:

Tired of manually watching long YouTube videos just to extract the main points? With our YouTube Transcript & Summary Automation, you can instantly turn any video into an actionable, AI-generated summary — all from a simple Google Sheet. What this automation does: Reads video URLs from Google Sheets (just add your links!) Generates accurate transcripts using Supadata.ai — with 100 free uses/month Creates a smart summary using DeepSeek AI: 🔹 Short summary of the video 🔹 Key points 🔹 Main topics Youtube tutorial: https://www.youtube.com/watch?v=uj7KaFSh95Y Automatically updates your Google Sheet with the transcript and the AI-generated summary How to set it up: Create a simple Google Sheet with these columns: Url – link to the YouTube video Status – set to pending to trigger the automation, updated to done after completion Transcript – filled automatically Summary – filled automatically Once your sheet is ready, the automation takes care of the rest — no technical skills needed. Why you'll love it: This is the perfect tool for content creators, researchers, marketers, and educators who want to save time, extract insights faster, and never miss key ideas from long videos. Want something custom? Got feedback or want to build your own custom automation or workflow? We’d love to hear from you! Reach out to us at jacobmarketingservice@gmail.com — let’s bring your idea to life.