Workflow Templates

Shorts Creation v10 (Telegram Filming) — n8n Template Description How it works This workflow is a fully automated YouTube Shorts production pipeline. It takes the structured output from a video digestion workflow (transcript, key moments, metadata) and produces finished, rendered vertical shorts complete with AI-generated avatar narration, AI-generated B-roll video clips, dynamic multi-layout compositions, social media copy, and a lead magnet document — all uploaded to Google Drive and tracked in Google Sheets. It's designed to be called as a sub-workflow — triggered by a parent workflow that provides video analysis data (transcript, key moments, visual analysis, metadata). The full pipeline: Stage 1 — Extract & Prepare The workflow receives pre-analysed video data (transcript, sections, B-roll clips, metadata) from the parent workflow via the Execute Workflow Trigger. A Code node extracts and structures the key snippets, B-roll timestamps, and video context ready for AI processing. Stage 2 — Short-Form Concept Ideation (Gemini AI Agent) A Gemini-powered AI agent analyses the transcript, key moments, and video overview to generate 3 unique short-form concepts per video. Each concept includes a hook, body structure, CTA, full avatar script, and a lead magnet deliverable prompt. The agent uses structured output parsing to guarantee clean JSON. Concepts are fed with real examples from top-performing creators for style reference. Stage 3 — Loop Through Concepts The workflow loops through each concept and for each one runs the full production pipeline in parallel: Stage 4 — HeyGen Avatar Generation Each concept's full script is sent to HeyGen's API to generate a vertical (1080×1920) AI avatar video. The workflow polls HeyGen's status endpoint until rendering is complete, then captures the avatar video URL. Stage 5 — AI B-Roll Generation (Replicate — Seedance 1 Lite) While the avatar renders, the workflow generates AI video B-roll clips using ByteDance's Seedance 1 Lite model on Replicate. The AI Video Director determines what B-roll is needed, and prompts are sent to Replicate to generate 2-second vertical clips at 24fps and 720p. Multiple clips are generated and aggregated. Stage 6 — AI Video Director (Gemini AI Agent) A Gemini-powered AI Video Director creates a beat-by-beat storyboard with dynamic layout transitions. It generates a RenderScript specifying layout types (avatar full-frame for hooks/CTAs, split-screen for demos, picture-in-picture overlays for focus moments), transition effects, and timing. The effects library provides scroll-stopping transitions like RGB glitch, accent flash, zoom shake, and whip pan. Stage 7 — Creatomate Rendering The Creatomate Template Builder Code node converts the AI Director's storyboard into a Creatomate-compatible render payload — assembling avatar video, B-roll clips, transitions, text overlays, and effects into a single 1080×1920 composition. The render is sent to Creatomate's API, polled until complete, then downloaded. Stage 8 — Upload & Social Copy The finished video is uploaded to Google Drive and shared. An OpenAI-powered Social Media Copywriter generates platform-optimised titles, descriptions, hashtags, and captions for YouTube Shorts, Instagram Reels, and TikTok. Everything is logged to a Google Sheets tracker. Stage 9 — Lead Magnet Document Generation In parallel, a Gemini-powered Document Generator creates a downloadable lead magnet (actionable guide, template, checklist, etc.) based on the CTA promise from each concept. The document is converted to HTML and uploaded as a Google Doc, shared publicly, and linked in the tracker sheet — ready to use as a content magnet in video descriptions. Setup guide Required accounts & API keys | Service | What it does | Sign up | |---------|-------------|---------| | HeyGen | AI avatar video generation (talking head narration) | https://heygen.com | | Replicate | AI video B-roll generation (Seedance 1 Lite by ByteDance) | https://replicate.com | | Creatomate | Video composition rendering (assembles final short) | https://creatomate.com | | Google AI Studio (Gemini) | Powers 4 AI agents (concept ideation, video direction, output parsing, document generation) | https://aistudio.google.com | | OpenAI | Social media copywriting (titles, descriptions, hashtags) | https://platform.openai.com | | Google Cloud | Google Drive (video storage) + Google Sheets (tracking) + Google Docs (lead magnets) | https://console.cloud.google.com | Replicate model This workflow uses Seedance 1 Lite by ByteDance for AI-generated B-roll video clips: https://replicate.com/bytedance/seedance-1-lite n8n credentials to configure | Credential type | Used by | |----------------|---------| | HeyGen API Key (HTTP Header Auth) | Avatar generation + status polling | | Replicate API Token (HTTP Header Auth) | AI B-roll video generation | | Creatomate API Key (HTTP Header Auth) | Video render + status polling | | Google Gemini API Key | Concept ideation, video direction, structured parsing, document generation | | OpenAI API Key | Social media copywriting | | Google Drive OAuth2 | Video upload, Google Doc creation, file sharing | | Google Sheets OAuth2 | Shorts tracker logging | Google Workspace setup Google Sheets — Create a spreadsheet called shorts_tracker with a sheet named Shorts Tracker. Columns should include: Created Date, YouTube Title, Short Title, Concept Type, YouTube Short Title, YouTube Description, Instagram Caption, TikTok Caption, Hashtags, Google Drive URL, Magnet URL. Google Drive — Create a folder for rendered shorts. Update the Upload to Google Drive node with your folder ID. Google Docs — Lead magnet documents are auto-created and shared via the Google Drive API. Steps Import the workflow into n8n Configure all credential sets (HeyGen, Replicate, Creatomate, Gemini, OpenAI, Google OAuth2) Set up your Google Sheets tracker and Drive folder Update the HeyGen avatar IDs in the "HeyGen - Generate Full Avatar" node to match your HeyGen avatars Connect this as a sub-workflow — it expects to be called by a parent workflow (like the Video Digestion Workflow) via the Execute Workflow Trigger The parent workflow passes in: source video data, transcript, sections, key moments, visual analysis, and video overview What this workflow produces (per video) For each source video, the workflow generates 3 unique shorts, and for each short: ✅ Finished rendered vertical video (1080×1920 MP4) uploaded to Google Drive ✅ AI avatar narration with hook, body, and CTA ✅ AI-generated B-roll video clips ✅ Dynamic layouts with scroll-stopping transitions ✅ Platform-optimised copy (YouTube, Instagram, TikTok) ✅ Lead magnet Google Doc with shareable link ✅ Full tracking row in Google Sheets Nodes used (44 total) Execute Workflow Trigger Code nodes (x4 — snippet extraction, effects library, Creatomate template builder, HTML converter) AI Agents (x4 — Gemini-powered concept ideator, video director, document generator + structured output parsers) OpenAI node (social media copywriter) Google Gemini Chat Models (x5) HeyGen API (x2 — generate + poll status) Replicate API (AI B-roll generation) Creatomate API (x2 — render + poll status) Google Drive (x2 — upload + share) Google Sheets (x2 — tracker logging) HTTP Request (Google Docs creation) Set/Edit Fields, Split In Batches, Split Out, Merge, Aggregate, Wait, If nodes Example Reels: Example 1 Example 2 Built by @adamgoodyer — The Anti-Guru Technical Educator. Real workflows, real implementation, no fluff.

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

How it works This workflow automates your initial hiring pipeline by creating an AI-powered CV scanner. It collects job applications through a web form, uses AI to analyze the candidate's CV against your job description, and neatly organizes the results in a Google Sheet. Here’s the step-by-step process: The Application Form:** A Form Trigger provides a public web form for candidates to submit their name, email, and CV (as a PDF). Initial Logging:** As soon as an application is submitted, the candidate's name and email are added to a Google Sheet. This ensures every applicant is logged, even if a later step fails. CV Text Extraction:* The workflow uses *Mistral's OCR** model to accurately extract all the text from the uploaded CV PDF. AI Analysis:* The extracted text is sent to *Google Gemini**. A detailed prompt instructs the AI to act as a hiring assistant, scoring the CV against the specific requirements of your job role and providing a detailed explanation for its score. Structured Output:** A JSON Output Parser ensures the AI's analysis is returned in a clean, structured format, making the data reliable. Final Record:** The AI-generated qualification score and explanation are added to the candidate's row in the Google Sheet, giving you a complete, analyzed list of applicants. Set up steps Setup time: ~15 minutes You'll need API keys for Mistral and Google AI, and to connect your Google account. Get Your Mistral API Key: Visit the Mistral Platform at console.mistral.ai/api-keys. Create and copy your API key. In the workflow, go to the Extract CV Text node, click the Credential dropdown, and select + Create New Credential. Paste your key into the API Key field and Save. Get Your Google AI API Key: Visit Google AI Studio at aistudio.google.com/app/apikey. Click "Create API key in new project" and copy the key. In the workflow, go to the Gemini 2.5 Flash Lite node, click the Credential dropdown, and select + Create New Credential. Paste your key into the API Key field and Save. Connect Your Google Account: Select the Create 'CVs' Spreadsheet node. Click the Credential dropdown and select + Create New Credential to connect your Google account. Repeat this for the Log Candidate Submission and Add CV Analysis nodes, selecting the credential you just created. Create Your Spreadsheet: Click the "play" icon on the Start Here node to run it. This will create a new Google Sheet in your Google Drive named "CVs" with the correct columns. Customize the Job Role: Go to the AI Qualification node. In the Text parameter, find the job_requirements section and replace the example job description with your own. Be as detailed as possible for the best results. Start Screening! Activate the workflow using the toggle at the top right. Go to the Application Form node and click the "Open Form URL" button. Fill out the form with a test application and upload a sample CV. Check your Google Sheet to see the AI's analysis appear within moments

💼 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.

TalentFlow AI – Bulk Resume Screening with JD Matching Automatically extract, evaluate, and shortlist multiple resumes against a selected job description using GPT-4. This smart, scalable n8n workflow helps HR/TA teams streamline hiring decisions while keeping results structured, auditable, and easy to share. 👤 Who’s it for This workflow is designed for: HR or Talent Acquisition (TA) teams handling multiple candidates per role Recruiters who want AI-assisted resume screening to save time and reduce bias Organizations that want to automatically log evaluations and keep stakeholders updated in real-time via Slack or Sheets ⚙️ How it works / What it does HR/TA uploads multiple candidate resumes and selects a job role Each resume is: Uploaded to Google Drive Parsed with GPT-4 to extract structured profile data The job description for the selected role is: Retrieved from Google Sheets Downloaded from Drive and parsed The profile + JD are sent to an AI agent to generate: Fit score Strengths & gaps Final recommendation Results are: Appended to the evaluation tracking sheet Optionally shared with the hiring team on Slack Used to trigger emails to qualified or unqualified candidates 🛠️ How to set up Clone or import the workflow into your n8n instance Connect your integrations: Google Sheets (positions & evaluation form) Google Drive (CV & JD folders) OpenAI API (GPT-4) Slack (for notifications) (Optional) SendGrid or SMTP for email notifications Update Google Sheets structure: Positions sheet: maps Job Role → JD file link Evaluation form: stores evaluation results Prepare Drive folders: /cv folder for uploaded resumes /jd folder for job description PDFs 📋 Requirements ✅ n8n (hosted or self-hosted) ✅ OpenAI GPT-4 account (used in Profile & JD evaluator agents) ✅ Google Drive + Google Sheets access ✅ Slack workspace + bot token (Optional) SendGrid or email credentials for candidate follow-up 🎨 How to customize the workflow Change the fit score threshold in the Candidate qualified? node Edit Slack message content/formatting to match your company tone Add additional candidate metadata to Sheets or Slack messages Use a webhook trigger to integrate with your ATS or job board Swap GPT-4 with Claude or Gemini if you prefer other AI services Expand to include multi-position batch screening logic Happy Hiring! 🚀 Automated with love using n8n

Automatically extract job listings from any website URL, format them with AI, and publish directly to WordPress. Just send a URL via Telegram, and watch as the workflow scrapes the job details, enhances the content with GPT, and creates a polished post on your site. 💡 Why Use Job Repost? ⏰ Save countless hours Automatically extract, process, and publish job offers from any website, freeing your time from repetitive tasks. ✅ Eliminate human errors Say goodbye to typos and missed fields — every job post is validated before going live. 📈 Boost engagement Fresh, well-structured job listings attract more candidates, improving your site's reach and authority. 🚀 Stay ahead Leveraging AI with GPT means your content is not just automated but polished and SEO-friendly — the digital assistant you never knew you needed. ⚡ Perfect For Job board managers:** Want to aggregate listings from multiple sources with minimal effort Recruiters & HR teams:** Who need to streamline job posting workflows without technical hassles Content creators & marketers:** Looking to automate publishing while maintaining style and SEO standards 🔧 How It Works | Step | Process | Description | |------|---------|-------------| | 📱 | Trigger | Send a job URL via Telegram bot to initiate the process | | 🔥 | Extract | Firecrawl API scrapes and extracts clean content from the provided URL | | 📎 | Process | Job data is extracted via AI, text split and cleaned, job categories and types mapped to your system | | 🤖 | Smart Logic | GPT crafts formatted job posts, intelligent validation ensures all key data is present, default values fill in the blanks if necessary | | 💌 | Output | Posts automatically published to WordPress with company logos uploaded, and success or error notifications sent via Telegram | | 🗂 | Storage | Uses Supabase vector store for managing document embeddings, ensuring quick lookup and reference compliance | 🔐 Quick Setup Import the provided JSON file into your n8n instances Add credentials: Firecrawl API key Google Drive OAuth2 (for RAG storage) OpenAI API WordPress API Telegram API Supabase Customize: Telegram bot token WordPress URLs Default images and category mappings if needed Update: URLs and API tokens where placeholders are used Test: Send a job URL to your Telegram bot to verify accurate extraction and posting 🧩 You'll Need ✅ Active n8n instances ✅ Firecrawl account with API access ✅ Google Drive account for RAG document storage ✅ OpenAI account with GPT API access ✅ WordPress site with autojob plugin and API enabled ✅ Telegram bot for URL submission and notifications ✅ Supabase account for vector store management 🛠️ Level Up Ideas 🌍 Add multi-language support to expand global reach 🔗 Support batch URL processing for multiple jobs at once 💬 Integrate Slack or email notifications for wider team alerts 🎯 Use more AI nodes to summarize or rate job offers for quality control 🔄 Schedule periodic cleanup of vector store for performance optimization 📊 Add analytics tracking for published jobs performance 🧠 Nodes Used Core Components: Firecrawl HTTP Request** (Web scraping and content extraction) Google Drive** (RAG document storage) Supabase Vector Store** OpenAI** (Embeddings, GPT Extraction) Code Nodes** for mapping categories Telegram Trigger & Message** HTTP Request** (for WordPress API and image uploads) Made by: Khaisa Studio Tags: automation recruitment job-posting wordpress AI web-scraping firecrawl Category: Human Resources, Recruitment, Wordpress, Scrapping Need a custom? contact me on LinkedIn or Web

How it works: This project teaches you to create a personal AI assistant named Jackie that operates through Telegram. Jackie can summarize unread emails, check calendar events, manage Google Tasks, and handle both voice and text interactions. The assistant provides a comprehensive digital life management solution accessible via Telegram messaging. Key Features: Supports hands-free voice interaction Maintains conversation memory Integrates with major Google services Provides personalized assistance for email management, scheduling, and task organization Step-by-step: Telegram Trigger: The workflow starts with a Telegram trigger that listens for incoming message events. The system determines if the incoming message is voice or text input. Voice Processing: If a voice message is received, the workflow retrieves the voice file from Telegram and uses OpenAI's transcription API to convert speech to text. AI Assistant: The processed text (whether original text or transcribed voice) is passed to Jackie, the AI assistant powered by OpenRouter's language model. Tools Integration: Jackie is equipped with several productivity tools: Get Email: Uses Gmail API to fetch unread emails from the inbox with sender, date, subject, and summary information Google Calendar: Retrieves calendar events for specified dates, filtering out irrelevant future events Google Tasks: Both creates new tasks and retrieves existing tasks from Google Tasks lists API Keys Required: Telegram Bot API: Create a bot via @BotFather on Telegram to get your bot token OpenAI API: Required for voice-to-text transcription OpenRouter API: Powers the AI language model responses Google OAuth2: Needed for Gmail, Google Calendar, and Google Tasks integration Response Generation: The AI formulates intelligent responses based on the gathered information, current date context, and conversation history, then sends the response back to the user via Telegram in Markdown format.

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

Say goodbye to endless applications and hello to more time for perfecting your interview skills! The JOB Hunter Agent uses the power of Google Gemini and SerpAPI to find the perfect job match and generate a personalized cover letter. Result example: 💡 Why Use JOB Hunter Agent? Save Precious Time: Stop sifting through countless job boards; this agent does the heavy lifting, saving you hours every week. Land Your Dream Job Faster: Get laser-focused job matches and a custom-crafted cover letter that speaks directly to the hiring manager, increasing your chances of getting noticed. Never Miss an Opportunity: Your personal AI assistant works 24/7, ensuring you're always on top of the latest openings, even while you sleep! Stand Out from the Crowd: A perfectly tailored cover letter generated on the fly gives you an edge over generic applications, making you look like a superstar. ⚡ Perfect For Job Seekers: Anyone actively looking for a new role who wants to streamline their application process. Busy Professionals: Those with limited time who need an efficient way to find relevant opportunities. Career Changers: Individuals exploring new industries who need a helping hand in crafting compelling applications. 🔧 How It Works ⏱ Trigger: You submit your CV and job preferences through a simple n8n form. 📎 Process: Your CV is extracted from the PDF, and your preferences (location, job type, salary, email) are neatly organized. 🤖 Smart Logic: The "Job Hunter Agent" uses Google Gemini and SerpAPI to find the single best job match for you and then drafts a bespoke cover letter based on your CV and the job description. It's like magic, but with more code! 💌 Output: A beautifully formatted HTML email containing your profile summary, the best job match, your personalized cover letter, and handy application tips is sent straight to your inbox. 🗂 Storage: All the initial data from your form submission is processed and used to craft your perfect job application package. 🔐 Quick Setup Import JSON file to your n8n instances Add credentials: Google Gemini (Gemini 2.5 Pro model) and SerpAPI Customize: Adjust the system prompt in the "Job Hunter Agent" to fine-tune the cover letter tone or length, update the email footer, and expand job filters. Update: Ensure your Gmail OAuth2 credentials are valid for sending emails. Test: Run the workflow with your own CV and preferences to see the magic happen! 🧩 You'll Need Active n8n instances Google Gemini API key (for Gemini 2.5 Pro) SerpAPI account for Google Jobs search results A Gmail account for sending personalized job match emails 🛠️ Level Up Ideas Integrate with LinkedIn, Jobstreet, or Indeed APIs for a wider range of job sources. Allow the agent to find multiple job matches and present them as a curated list. Add an option to attach a parsed CV summary as a PDF to the email for quick reference. Made by: khaisa Studio Tags: AI, Gemini, Google Jobs, Job Search, Automation, Cover Letter Category: job hunter Need custom work? Contact me