Back to Catalog

Collect YouTube channel stats & contact info with Google Sheets and SerpAPI

Yaron BeenYaron Been
665 views
2/3/2026
Official Page

Workflow Overview

This advanced n8n automation is a powerful channel research and intelligence gathering tool designed to transform raw YouTube channel data into actionable insights. By intelligently connecting multiple APIs and data sources, this workflow:

  1. Discovers Channel Metrics:

    • Automatically retrieves channel statistics
    • Captures detailed performance indicators
    • Provides comprehensive channel intelligence
  2. Performs Deep Analysis:

    • Extracts recent video performance data
    • Calculates engagement metrics
    • Aggregates view count insights
  3. Uncovers Contact Information:

    • Attempts to retrieve public email addresses
    • Provides direct outreach opportunities
    • Enhances lead generation capabilities
  4. Seamless Data Logging:

    • Automatically updates Google Sheets
    • Maintains a live intelligence dashboard
    • Preserves historical channel data

Key Benefits

  • πŸ€– Full Automation: Continuous channel intelligence gathering
  • πŸ’‘ Smart Analysis: Comprehensive performance insights
  • πŸ“Š Real-Time Tracking: Always-updated channel metrics
  • πŸ” Lead Generation: Direct contact information extraction

Workflow Architecture

πŸ”Ή Stage 1: Channel Identification

  • Google Sheets Trigger: Detects new channel additions
  • YouTube Data API: Fetches channel statistics
  • Comprehensive Metric Collection:
    • Subscriber count
    • Total view metrics
    • Channel overview

πŸ”Ή Stage 2: Video Performance Analysis

  • Recent Video Retrieval: Fetches 5 latest uploads
  • View Count Aggregation:
    • Calculates total recent views
    • Provides engagement snapshot
  • Performance Insights: Measures content effectiveness

πŸ”Ή Stage 3: Contact Discovery

  • SerpAPI Integration: Attempts email extraction
  • Public Contact Information:
    • Retrieves available email addresses
    • Supports outreach and networking

πŸ”Ή Stage 4: Data Compilation

  • Intelligent Data Formatting
  • Google Sheets Update
  • Live Intelligence Dashboard

Potential Use Cases

  • Marketing Teams: Influencer research
  • Sales Professionals: Lead qualification
  • Content Strategists: Competitive analysis
  • Recruitment Specialists: Talent scouting
  • Business Development: Partnership identification

Setup Requirements

  1. YouTube Data API

    • Google Cloud API credentials
    • Configured API access
  2. SerpAPI Account

    • API key for email extraction
    • Web scraping permissions
  3. Google Sheets

    • Connected Google account
    • Prepared tracking spreadsheet
    • Appropriate sharing settings
  4. n8n Installation

    • Cloud or self-hosted instance
    • Workflow configuration
    • API credential management

Future Enhancement Suggestions

  • πŸ€– AI-powered channel scoring
  • πŸ“Š Advanced trend analysis
  • πŸ”” Automated alert system
  • 🌐 Multi-platform channel tracking
  • 🧠 Machine learning insights generation

Technical Considerations

  • Implement robust error handling
  • Use exponential backoff for API calls
  • Maintain flexible data extraction strategies
  • Ensure compliance with platform terms of service

Ethical Guidelines

  • Respect content creator privacy
  • Use data for legitimate research
  • Maintain transparent data collection practices
  • Provide opt-out mechanisms

Connect With Me

Ready to unlock YouTube channel insights?

πŸ“§ Email: Yaron@nofluff.online

πŸŽ₯ YouTube: @YaronBeen

πŸ’Ό LinkedIn: Yaron Been

Transform your channel research with intelligent, automated workflows!

Collect YouTube Channel Stats and Contact Info with Google Sheets and SERP API

This n8n workflow automates the process of extracting YouTube channel statistics and contact information. It's triggered by new rows added to a Google Sheet, fetches relevant data using the SERP API (likely for YouTube search results or channel details), processes this information, and then updates another Google Sheet with the collected data.

What it does

  1. Triggers on new Google Sheet rows: The workflow starts whenever a new row is added to a specified Google Sheet. This sheet is expected to contain YouTube channel URLs.
  2. Fetches YouTube channel data via SERP API: For each new YouTube channel URL, it makes an HTTP request to the SERP API to retrieve detailed statistics and potentially contact information related to that channel.
  3. Processes and transforms data: The collected data from the SERP API is then processed and transformed using a Code node and a Set node. This step likely extracts specific fields, formats the data, and prepares it for storage.
  4. Updates Google Sheet: Finally, the processed YouTube channel statistics and contact information are appended as new rows to another Google Sheet, providing a centralized and organized database.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Google Sheets Account: With access to create and modify spreadsheets.
  • Google Sheets Credentials: Configured in n8n for both the Trigger and Google Sheets nodes.
  • SERP API Key: An API key for a SERP API service (e.g., SerpApi, Google Search API, etc.) that can retrieve YouTube channel data. This will be used in the HTTP Request node.

Setup/Usage

  1. Import the workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Google Sheets Trigger:
    • Select your Google Sheets credential.
    • Specify the Spreadsheet ID and Sheet Name where you will add new YouTube channel URLs.
    • Set the "Trigger On" option to "New Row".
  3. Configure HTTP Request (SERP API):
    • Update the URL, headers, and body of the HTTP Request node to match your chosen SERP API's documentation for fetching YouTube channel data.
    • Ensure your SERP API key is included, typically as a header or query parameter.
    • The input to this node will likely be the YouTube channel URL from the Google Sheets Trigger.
  4. Configure Code & Edit Fields (Set) nodes:
    • Review and adjust the JavaScript code in the "Code" node and the field mappings in the "Edit Fields" node to correctly parse and extract the desired data from the SERP API response. This will depend on the exact structure of the SERP API's output.
  5. Configure Google Sheets (Output):
    • Select your Google Sheets credential.
    • Specify the Spreadsheet ID and Sheet Name where the collected data should be written.
    • Set the "Operation" to "Append Row".
    • Map the data from the previous nodes to the columns in your output Google Sheet.
  6. Activate the workflow: Once all configurations are complete, activate the workflow.

Now, whenever you add a new YouTube channel URL to your input Google Sheet, the workflow will automatically fetch its stats and contact info and add them to your output Google Sheet.

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 β€” 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 β€” 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 β€” 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.

higashiyama By higashiyama
90

Dynamic Hubspot lead routing with GPT-4 and Airtable sales team distribution

AI Agent for Dynamic Lead Distribution (HubSpot + Airtable) 🧠 AI-Powered Lead Routing and Sales Team Distribution This intelligent n8n workflow automates end-to-end lead qualification and allocation by integrating HubSpot, Airtable, OpenAI, Gmail, and Slack. The system ensures that every new lead is instantly analyzed, scored, and routed to the best-fit sales representative β€” all powered by AI logic, sir. --- πŸ’‘ Key Advantages ⚑ Real-Time Lead Routing Automatically assigns new leads from HubSpot to the most relevant sales rep based on region, capacity, and expertise. 🧠 AI Qualification Engine An OpenAI-powered Agent evaluates the lead’s industry, region, and needs to generate a persona summary and routing rationale. πŸ“Š Centralized Tracking in Airtable Every lead is logged and updated in Airtable with AI insights, rep details, and allocation status for full transparency. πŸ’¬ Instant Notifications Slack and Gmail integrations alert the assigned rep immediately with full lead details and AI-generated notes. πŸ” Seamless CRM Sync Updates the original HubSpot record with lead persona, routing info, and timeline notes for audit-ready history, sir. --- βš™οΈ How It Works HubSpot Trigger – Captures a new lead as soon as it’s created in HubSpot. Fetch Contact Data – Retrieves all relevant fields like name, company, and industry. Clean & Format Data – A Code node standardizes and structures the data for consistency. Airtable Record Creation – Logs the lead data into the β€œLeads” table for centralized tracking. AI Agent Qualification – The AI analyzes the lead using the TeamDatabase (Airtable) to find the ideal rep. Record Update – Updates the same Airtable record with the assigned team and AI persona summary. Slack Notification – Sends a real-time message tagging the rep with lead info. Gmail Notification – Sends a personalized handoff email with context and follow-up actions. HubSpot Sync – Updates the original contact in HubSpot with the assignment details and AI rationale, sir. --- πŸ› οΈ Setup Steps Trigger Node: HubSpot β†’ Detect new leads. HubSpot Node: Retrieve complete lead details. Code Node: Clean and normalize data. Airtable Node: Log lead info in the β€œLeads” table. AI Agent Node: Process lead and match with sales team. Slack Node: Notify the designated representative. Gmail Node: Email the rep with details. HubSpot Node: Update CRM with AI summary and allocation status, sir. --- πŸ” Credentials Required HubSpot OAuth2 API – To fetch and update leads. Airtable Personal Access Token – To store and update lead data. OpenAI API – To power the AI qualification and matching logic. Slack OAuth2 – For sending team notifications. Gmail OAuth2 – For automatic email alerts to assigned reps, sir. --- πŸ‘€ Ideal For Sales Operations and RevOps teams managing multiple regions B2B SaaS and enterprise teams handling large lead volumes Marketing teams requiring AI-driven, bias-free lead assignment Organizations optimizing CRM efficiency with automation, sir --- πŸ’¬ Bonus Tip You can easily extend this workflow by adding lead scoring logic, language translation for follow-ups, or Salesforce integration. The entire system is modular β€” perfect for scaling across global sales teams, sir.

MANISH KUMARBy MANISH KUMAR
113

Track daily moods with AI analysis & reports using GPT-4o, Data Tables & Gmail

Track your daily mood in one tap and receive automated AI summaries of your emotional trends every week and month. Perfect for self-reflection, wellness tracking, or personal analytics. This workflow logs moods sent through a webhook (/mood) into Data Tables, analyzes them weekly and monthly with OpenAI (GPT-4o), and emails you clear summaries and actionable recommendations via Gmail. βš™οΈ How It Works Webhook – Mood β†’ Collects new entries (πŸ™‚, 😐, or 😩) plus an optional note. Set Mood Data β†’ Adds date, hour, and note fields automatically. Insert Mood Row β†’ Stores each record in a Data Table. Weekly Schedule (Sunday 20:00) β†’ Aggregates the last 7 days and sends a summarized report. Monthly Schedule (Day 1 at 08:00) β†’ Aggregates the last 30 days for a deeper AI analysis. OpenAI Analysis β†’ Generates insights, patterns, and 3 actionable recommendations. Gmail β†’ Sends the full report (chart + AI text) to your inbox. πŸ“Š Example Auto-Email Weekly Mood Summary (last 7 days) πŸ™‚ 5 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 😐 2 β–ˆβ–ˆβ–ˆβ–ˆ 😩 0 Average: 1.7 (Positive πŸ™‚) AI Insights: You’re trending upward this week β€” notes show that exercise days improved mood. Try keeping short walks mid-week to stabilize energy. 🧩 Requirements n8n Data Tables enabled OpenAI credential (GPT-4o or GPT-4 Turbo) Gmail OAuth2 credential to send summaries πŸ”§ Setup Instructions Connect your credentials: Add your own OpenAI and Gmail OAuth2 credentials. Set your Data Table ID: Open the Insert Mood Row node and enter your own Data Table ID. Without this, new moods won’t be stored. Replace the email placeholder: In the Gmail nodes, replace your.email@example.com with your actual address. Deploy and run: Send a test POST request to /mood (e.g. { "mood": "πŸ™‚", "note": "productive day" }) to log your first entry. ⚠️ Before activating the workflow, ensure you have configured the Data Table ID in the β€œInsert Mood Row” node. 🧠 AI Analysis Interprets mood patterns using GPT-4o. Highlights trends, potential triggers, and suggests 3 specific actions. Runs automatically every week and month. πŸ”’ Security No personal data is exposed outside your n8n instance. Always remove or anonymize credential references before sharing publicly. πŸ’‘ Ideal For Personal mood journaling and AI feedback Therapists tracking client progress Productivity or self-quantification projects πŸ—’οΈ Sticky Notes Guide 🟑 Mood Logging Webhook POST /mood receives mood + optional note. ⚠️ Configure your own Data Table ID in the β€œInsert Mood Row” node before running. 🟒 Weekly Summary Runs every Sunday 20:00 β†’ aggregates last 7 days β†’ generates AI insights + emails report. πŸ”΅ Monthly Summary Runs on Day 1 at 08:00 β†’ aggregates last 30 days β†’ creates monthly reflection. 🟣 AI Analysis Uses OpenAI GPT-4o to interpret trends and recommend actions. 🟠 Email Delivery Sends formatted summaries to your inbox automatically.

Jose CastilloBy Jose Castillo
105