YouTube video to AI-powered auto blogging and affiliate automation
🚀 YouTube to WordPress AI-Powered Automation
Transform your YouTube content into professional blog posts automatically!
This n8n template seamlessly converts your YouTube videos into fully-formatted, SEO-optimized WordPress blog posts using AI-powered content generation—all without lifting a finger.
🎯 What This Automation Does
- 📺 Monitors your YouTube channel for new video uploads
- 🔍 Extracts key video information (title, description, URL, thumbnail)
- 🤖 Leverages AI to generate comprehensive blog content based on video material
- ✏️ Creates SEO-optimized titles, excerpts, and tags
- 🖼️ Formats posts beautifully with embedded videos and proper HTML structure
- 📝 Publishes directly to WordPress via secure API connection
- ⏱️ Runs on your schedule — daily, weekly, or after each new upload
🧑🏫 Step-by-Step Video Tutorial
🎥 Watch the implementation tutorial:
📌 See the complete workflow setup and content transformation in action.
🌐 Useful Links
- 🔗 Get started with n8n Cloud:
👉 https://n8n.io/cloud/ - 📘 YouTube Data API documentation:
👉 https://developers.google.com/youtube/v3 - 📚 WordPress REST API handbook:
👉 https://developer.wordpress.org/rest-api/ - 🧠 OpenAI API documentation:
👉 https://platform.openai.com/docs/api-reference
🛠 Prerequisites
- ✅ n8n installation (self-hosted or cloud)
- ✅ YouTube Data API key
- ✅ AI provider API key (OpenAI, Google Gemini, etc.)
- ✅ WordPress website with REST API enabled
- ✅ WordPress application password for secure authentication
📋 Step-by-Step Implementation
1️⃣ YouTube Video Detection
- Youtube RSS Feedlink to fetch new video automatically
- Implement filtering to process only videos not yet published to WordPress
2️⃣ Content Preparation
- Extract essential video metadata (ID, title, description, thumbnail URL)
- Structure the information for AI processing and WordPress publication
- Format video thumbnails for use as featured images in blog posts
3️⃣ AI Content Generation
- Configure your preferred AI provider (OpenAI, Gemini, etc.)
- Create detailed prompts that instruct the AI to:
- Maintain your brand voice and writing style
- Structure content with proper headings and subheadings
- Creates Internal Links from existing blogposts
- Creators Extenal links using affilaite links and other link database.
- Engaging SEO frendly.
- Automatically monetizes by embedding social PartnerStack Links
- Include key points from the video
- Generate SEO-friendly paragraphs and conclusions
4️⃣ Content Enhancement
- Format the AI-generated content with proper HTML structure
- Add responsive embedded YouTube player
- Include attribution links back to original video
- Create custom intro and conclusion sections
5️⃣ WordPress Publishing
- Securely connect to WordPress via REST API
- Set post parameters (title, content, excerpt, categories, tags)
- Configure post status (publish immediately or save as draft)
- Add featured image using video thumbnail
6️⃣ Notification & Logging
- Receive email or Slack notifications when new posts are published
- Log workflow executions for troubleshooting
- Track successful publications for reporting
💰 Automatic Affiliate Marketing Integration
Transform your blog posts into passive income generators by automatically embedding relevant affiliate links based on your video content:
PartnerStack Integration
- Dynamically fetch relevant affiliate links from your PartnerStack account
- Intelligently match products to video content using AI-powered relevance scoring
- Automatically insert formatted affiliate links with proper disclosure notices
- Track performance metrics for each generated post's affiliate conversions
Example setup: Connect PartnerStack API → Filter relevant products → Insert links in strategic post positions
Custom Affiliate Database via Airtable
- Create a centralized product-keyword Airtable database:
- Product name and description
- Affiliate link with your unique ID
- Category and keyword triggers
- Commission rates and expiration dates
- Auto-scan blog content to identify keyword matches
- Insert highest-converting links based on historical performance
- Rotate affiliate links to test different products and placements
Advanced Monetization Features
- Amazon Associates product matching based on video content
- Time-sensitive promo codes inserted for limited-time offers
- Geo-targeted affiliate links based on visitor location
- A/B testing system to optimize link placement and conversion
- Automated disclosure statements to maintain FTC compliance
Implementation Steps
- Connect to your PartnerStack account via API
- Create an Airtable base with your affiliate product database
- Configure the AI to identify product-mention opportunities
- Add a post-processing node to insert relevant affiliate links
- Implement tracking parameters to measure performance
This integration not only saves time manually adding affiliate links, but also increases conversion rates through intelligent product matching and optimal placement within your automatically generated blog content.
> 💡 Pro Tip: Create separate tracking IDs for your automated YouTube-to-WordPress posts to measure this specific channel's performance in your affiliate dashboards.
💡 Advanced Customizations
Content Templates
Create specialized formatting based on video categories:
- Tutorial videos: Step-by-step instructions with timestamps
- Review videos: Pros/cons sections with ratings
- Interview videos: Question-answer format with speaker attribution
Category & Tag Management
Automatically organize your WordPress content:
- Assign categories based on video topics or playlists
- Generate tags from video keywords and descriptions
- Create custom taxonomies for video series
Multi-Platform Distribution
Extend your content reach by adding:
- Social media announcement posts
- Email newsletter inclusion
- Content syndication to Medium or LinkedIn
⚠️ Troubleshooting
| Issue | Solution | |-------|----------| | AI generation timeout | Increase timeout settings or use chunked processing | | WordPress API errors | Verify application password and user permissions | | Missing video embedding | Check oEmbed settings in WordPress | | Duplicate posts | Implement content fingerprinting for detection | | Poor content quality | Refine AI prompts with better instructions |
🙌 Why Use This Template
Content creators typically spend 2-4 hours converting each video into a quality blog post. This automation:
- ⏱️ Saves 10+ hours weekly for active YouTube creators
- 🔍 Boosts SEO performance with multi-platform content
- 🌐 Expands audience reach to text-preferring visitors
- 💰 Increases monetization opportunities across platforms
- 🧠 Frees creative energy for producing better videos
Don't choose between video and written content—have both automatically!
🚀 Get Started Now
Import the template → Connect your accounts → Watch your blog grow alongside your channel.
👉 AMJID ALI'S PROFILE
👉 website
👉 Explore more on youtube
Knowledge Base: youtube-api, wordpress-automation, content-repurposing, ai-blog-generation, n8n-workflow, creator-tools, video-to-text, multi-platform-publishing
n8n YouTube Video to AI-Powered Auto-Blogging and Affiliate Automation
This n8n workflow automates the process of generating blog posts and affiliate content from new YouTube videos in a specified channel. It leverages AI to transcribe video content, summarize it, and create structured blog posts, including product recommendations.
What it does
This workflow simplifies content creation and affiliate marketing by performing the following steps:
- Monitors a YouTube Channel: It triggers whenever a new video is published on a configured YouTube channel.
- Extracts Video Details: It retrieves the video ID and title from the new YouTube video.
- Fetches Video Transcript: It makes an HTTP request to an external API (likely a YouTube transcript API) to get the full transcript of the video.
- Parses Transcript: The raw XML transcript data is parsed into a usable JSON format.
- Prepares Data for AI: It combines the video title and transcript into a single input for the AI agent.
- Generates Blog Content with AI: An AI Agent (using a Google Gemini Chat Model) is employed to:
- Summarize the video content.
- Generate a blog post from the summary.
- Identify potential affiliate products or keywords from the video content.
- Structure the output as a JSON object.
- Parses AI Output: The AI's JSON output is parsed to extract the blog post, affiliate product suggestions, and other structured data.
- Aggregates Results: It combines all the generated content (video details, transcript, AI-generated blog post, and affiliate products) into a single, cohesive item.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running instance of n8n.
- YouTube Account: A YouTube channel to monitor.
- YouTube API Key: For the YouTube node to access channel data.
- YouTube Transcript API Endpoint: An external API endpoint that can fetch YouTube video transcripts (the
HTTP Requestnode points to one). You might need to set up or subscribe to such a service. - Google Gemini API Key: For the
Google Gemini Chat Modelnode to power the AI agent. - LangChain Credentials: If the LangChain nodes require specific credentials, ensure they are configured in n8n.
Setup/Usage
- Import the Workflow: Download the provided JSON and import it into your n8n instance.
- Configure YouTube Trigger:
- Open the
RSS Feed Triggernode. - Set the "Feed URL" to the RSS feed of the YouTube channel you want to monitor. This is typically
https://www.youtube.com/feeds/videos.xml?channel_id=YOUR_CHANNEL_ID. ReplaceYOUR_CHANNEL_IDwith the actual ID of the YouTube channel.
- Open the
- Configure YouTube Node:
- Open the
YouTubenode. - Add your YouTube API credentials.
- Ensure it's configured to retrieve video details based on the input from the RSS feed.
- Open the
- Configure HTTP Request (Transcript) Node:
- Open the
HTTP Requestnode (Node ID 19). - Update the "URL" field to point to your chosen YouTube transcript API endpoint.
- Configure any necessary authentication (e.g., API keys in headers or query parameters) for the transcript API.
- Open the
- Configure Google Gemini Chat Model:
- Open the
Google Gemini Chat Modelnode. - Add your Google Gemini API credentials.
- Open the
- Activate the Workflow: Once all credentials and configurations are set, activate the workflow. It will now automatically process new YouTube videos from the specified channel.
Related Templates
AI-powered code review with linting, red-marked corrections in Google Sheets & Slack
Advanced Code Review Automation (AI + Lint + Slack) Who’s it for For software engineers, QA teams, and tech leads who want to automate intelligent code reviews with both AI-driven suggestions and rule-based linting — all managed in Google Sheets with instant Slack summaries. How it works This workflow performs a two-layer review system: Lint Check: Runs a lightweight static analysis to find common issues (e.g., use of var, console.log, unbalanced braces). AI Review: Sends valid code to Gemini AI, which provides human-like review feedback with severity classification (Critical, Major, Minor) and visual highlights (red/orange tags). Formatter: Combines lint and AI results, calculating an overall score (0–10). Aggregator: Summarizes results for quick comparison. Google Sheets Writer: Appends results to your review log. Slack Notification: Posts a concise summary (e.g., number of issues and average score) to your team’s channel. How to set up Connect Google Sheets and Slack credentials in n8n. Replace placeholders (<YOURSPREADSHEETID>, <YOURSHEETGIDORNAME>, <YOURSLACKCHANNEL_ID>). Adjust the AI review prompt or lint rules as needed. Activate the workflow — reviews will start automatically whenever new code is added to the sheet. Requirements Google Sheets and Slack integrations enabled A configured AI node (Gemini, OpenAI, or compatible) Proper permissions to write to your target Google Sheet How to customize Add more linting rules (naming conventions, spacing, forbidden APIs) Extend the AI prompt for project-specific guidelines Customize the Slack message formatting Export analytics to a dashboard (e.g., Notion or Data Studio) Why it’s valuable This workflow brings realistic, team-oriented AI-assisted code review to n8n — combining the speed of automated linting with the nuance of human-style feedback. It saves time, improves code quality, and keeps your team’s review history transparent and centralized.
By higashiyama Daily cash flow reports with Google Sheets, Slack & Email for finance teams
Simplify financial oversight with this automated n8n workflow. Triggered daily, it fetches cash flow and expense data from a Google Sheet, analyzes inflows and outflows, validates records, and generates a comprehensive daily report. The workflow sends multi-channel notifications via email and Slack, ensuring finance professionals stay updated with real-time financial insights. 💸📧 Key Features Daily automation keeps cash flow tracking current. Analyzes inflows and outflows for actionable insights. Multi-channel alerts enhance team visibility. Logs maintain a detailed record in Google Sheets. Workflow Process The Every Day node triggers a daily check at a set time. Get Cash Flow Data retrieves financial data from a Google Sheet. Analyze Inflows & Outflows processes the data to identify trends and totals. Validate Records ensures all entries are complete and accurate. If records are valid, it branches to: Sends Email Daily Report to finance team members. Send Slack Alert to notify the team instantly. Logs to Sheet appends the summary data to a Google Sheet for tracking. Setup Instructions Import the workflow into n8n and configure Google Sheets OAuth2 for data access. Set the daily trigger time (e.g., 9:00 AM IST) in the "Every Day" node. Test the workflow by adding sample cash flow data and verifying reports. Adjust analysis parameters as needed for specific financial metrics. Prerequisites Google Sheets OAuth2 credentials Gmail API Key for email reports Slack Bot Token (with chat:write permissions) Structured financial data in a Google Sheet Google Sheet Structure: Create a sheet with columns: Date Cash Inflow Cash Outflow Category Notes Updated At Modification Options Customize the "Analyze Inflows & Outflows" node to include custom financial ratios. Adjust the "Validate Records" filter to flag anomalies or missing data. Modify email and Slack templates with branded formatting. Integrate with accounting tools (e.g., Xero) for live data feeds. Set different trigger times to align with your financial review schedule. Discover more workflows – Get in touch with us
By Oneclick AI SquadAutomate Instagram complaint handling with Claude AI, tickets & SLA management
This enterprise-grade n8n workflow automates the Instagram complaint handling process — from detection to resolution — using Claude AI, dynamic ticket assignment, and SLA enforcement. It converts customer complaints in comments into actionable support tickets with auto-assignment, escalation alerts, and full audit trails, ensuring timely responses and improved customer satisfaction with zero manual intervention. Key Features Real-time Instagram polling for new comments AI-powered complaint detection using Claude 3.5 Sonnet for sentiment and issue classification Automatic ticket creation in Google Sheets (or integrable with Zendesk/Jira) Round-robin assignment to team members from a dynamic roster SLA timer and monitoring (e.g., 24-hour response window with escalation at 80% elapsed) Escalation engine notifies managers via Slack if near breach Multi-channel notifications: Slack for assignees and escalations Audit-ready: Logs ticket details, assignments, and actions Scalable triggers: Webhook or scheduled polling Workflow Process | Step | Node | Description | | ---- | ----------------------------------- | -------------------------------------------------------- | | 1 | Schedule Trigger | Runs every 15 minutes or via webhook (/complaint-handler) | | 2 | Get Instagram Posts | Fetches recent posts from Instagram Graph API | | 3 | Get Comments | Retrieves comments for the latest post | | 4 | Loop Over Comments | Processes each comment individually to avoid rate limits | | 5 | Detect Complaint (Claude AI) | Uses AI to classify if complaint, extract issue/severity | | 6 | IF Complaint | Branches: Proceed if yes, end if no | | 7 | Get Team Members | Loads team roster from TeamMembers sheet | | 8 | Assign Ticket | Sets assignee via round-robin logic | | 9 | Create Ticket (Google Sheet) | Appends new ticket with details and SLA due date | | 10 | Notify Assignee (Slack) | Alerts assigned team member | | 11 | Wait for SLA Check | Delays to near-SLA-breach point (e.g., 20 hours) | | 12 | Check Ticket Status | Looks up ticket status in sheet | | 13 | IF SLA Breach Near | Checks if unresolved; escalates if yes | | 14 | Escalate to Manager (Slack) | Notifies manager for urgent action | | 15 | End (Non-Complaint Path) | Terminates non-complaint branches | Setup Instructions Import Workflow Open n8n → Workflows → Import from Clipboard Paste the JSON workflow Configure Credentials | Integration | Details | | ----------------- | -------------------------------------------------- | | Instagram API | Access token from Facebook Developer Portal | | Claude AI | Anthropic API key for claude-3-5-sonnet-20241022 | | Google Sheets | Service account with spreadsheet access | | Slack | Webhook or OAuth app | Update Spreadsheet IDs Ensure your Google Sheets include: SupportTickets TeamMembers Set Triggers Webhook: /webhook/complaint-handler (for real-time Instagram notifications if set up) Schedule: Every 15 minutes Run a Test Use manual execution to confirm: Ticket creation in sheet Slack notifications SLA wait and escalation logic (simulate by shortening wait time) Google Sheets Structure SupportTickets | ticketId | commentText | user | createdAt | assignedTo | status | slaDue | issueType | severity | |--------------|-------------|----------|--------------------|--------------------|--------|--------------------|---------------|----------| | TKT-12345678 | Sample complaint text | user123 | 2023-10-01T12:00:00Z | john@team.com | Open | 2023-10-02T12:00:00Z | Product Issue | Medium | TeamMembers | name | email | |-----------|-------------------| | John Doe | john@team.com | | Jane Smith| jane@team.com | System Requirements | Requirement | Version/Access | | --------------------- | ---------------------------------------------- | | n8n | v1.50+ (AI integrations supported) | | Claude AI API | claude-3-5-sonnet-20241022 | | Instagram Graph API| Business account access token | | Google Sheets API | https://www.googleapis.com/auth/spreadsheets | | Slack Webhook | Required for notifications | Optional Enhancements Integrate Zendesk/Jira for professional ticketing instead of Google Sheets Add email notifications to customers acknowledging complaints Use sentiment thresholds for prioritizing high-severity tickets Connect Twilio for SMS escalations Enable multi-platform support (e.g., Twitter/Facebook comments) Add reporting dashboard via Google Data Studio Implement auto-resolution for simple complaints using AI responses Result: A single automated system that detects, tickets, assigns, and enforces SLAs on Instagram complaints — with full AI intelligence and zero manual work. Explore More AI Workflows: Get in touch with us for custom n8n automation!
By Oneclick AI Squad