Data & Analytics Automation Workflows — Page 4 | Neura Market

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Data & Analytics Workflows

Data processing and analytics

Interactive Recipe Search Using API Ninjas in n8n
Effortlessly search for recipes by entering keywords into a form, which retrieves detailed recipes using the API Ninjas Recipe API and displays them instantly.
n8n$4.99
Automate Comprehensive Google Analytics Reports with n8n
This n8n workflow automates the collection, processing, and formatting of Google Analytics data into a detailed HTML report. It segments data into Engagement Stats, Search Results, and Country Views, offering insights for better decision-making.
n8n$14.99
Automate YouTube Transcript Extraction and Cleaning with RapidAPI
This n8n workflow automates the extraction and cleaning of YouTube video transcripts using the YouTube Transcript API on RapidAPI, providing structured and readable transcript data for further use.
n8n

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Automate Large-Scale Web Data Extraction with Bright Data and Google Gemini

This workflow automates the extraction of web data using Bright Data's MCP Server and Google Gemini, ideal for professionals needing structured datasets for analysis, market research, and AI model training.

Automate GitHub Trending Data Collection to Supabase

Streamline the process of collecting and storing GitHub trending repository data in Supabase for easy access and analysis.

Automate Job Listing Analysis from Indeed with Bright Data and LLMs

This workflow automates the process of scraping job listings from Indeed using Bright Data and analyzes them with LLMs to determine suitability based on your criteria.

Automate n8n Creators Leaderboard Analysis and Reporting

This workflow automates the retrieval, processing, and reporting of n8n community statistics, highlighting popular workflows and top contributors.

Enrich LinkedIn Profiles from Google Sheets via RapidAPI

### LinkedIn Profile Enrichment Workflow #### Who is this for? This workflow is ideal for recruiters, sales professionals, and marketing teams who need to enrich LinkedIn profiles with additional data for lead generation, talent sourcing, or market research. #### What problem is this workflow solving? Manually gathering detailed LinkedIn profile information can be time-consuming and prone to errors. This workflow automates the process of enriching profile data from LinkedIn, saving time and ensuring accuracy. #### What this workflow does 1. **Input**: Reads LinkedIn profile URLs from a Google Sheet. 2. **Validation**: Filters out already enriched profiles to avoid redundant processing. 3. **Data Enrichment**: Uses RapidAPI's Fresh LinkedIn Profile Data API to retrieve detailed profile information. 4. **Output**: Updates the Google Sheet with enriched profile data, appending new information efficiently. #### Setup 1. **Google Sheet**: Create a sheet with a column named `linkedin_url` and populate it with the profile URLs to enrich. 2. **RapidAPI Account**: Sign up at [RapidAPI](https://rapidapi.com) and subscribe to the Fresh LinkedIn Profile Data API. 3. **API Integration**: Replace the `x-rapidapi-key` and `x-rapidapi-host` values with your credentials from RapidAPI. 4. **Run the Workflow**: Trigger the workflow and monitor the updates to your Google Sheet. #### How to customize this workflow * **Filter Criteria**: Modify the filter step to include additional conditions for processing profiles. * **API Configuration**: Adjust API parameters to retrieve specific fields or extend usage. * **Output Format**: Customize how the enriched data is appended to the Google Sheet (e.g., format, column mappings). * **Error Handling**: Add steps to handle API rate limits or missing data for smoother automation. This workflow streamlines LinkedIn profile enrichment, making it faster and more effective for data-driven decision-making.

YouTube Comment Scraper & Analyzer with GPT-4 + Email Summary Report

## How it Works This workflow automates the collection and analysis of **YouTube comments** from a video and sends a **summary report via email**, using **Google Sheets**, the **YouTube API**, **OpenAI (GPT-4)**, and **Gmail**. Whether you're a content creator, brand manager, or social media analyst, this workflow helps you **automate sentiment analysis** and **receive insights** directly in your inbox - all triggered from a simple spreadsheet. ## Use Case Ideal for: - **YouTubers** monitoring audience sentiment - **Marketing teams** analyzing campaign feedback - **Community managers** summarizing engagement ## Setup Instructions ### 1. Upload the Spreadsheet - File name: `Youtube_Video` - Sheet structure: | ID | Video Title | YouTube Video ID | Status | - Add video IDs and set their `Status` as `Pending` ### 2. Configure Google Sheets Nodes Connect your **Google account** to: - `Pick Video IDs from Google Sheet` - `Update Status on Google Sheet` ### 3. Add API Credentials - **YouTube API Key** – for comment + video scraping nodes - **OpenAI API Key** – for analyzing comments - **Gmail Account** – for sending the summary email ### 4. Activate the Workflow Once live, the workflow will: 1. Watch for new or updated rows in the spreadsheet 2. Scrape comments using the YouTube API 3. Analyze sentiment and key themes via GPT-4 4. Send a formatted HTML email with the summary 5. Update the spreadsheet status to `Mail sent` ## Workflow Logic 1. **Trigger**: New/updated row in Google Sheet 2. **Retrieve**: YouTube video metadata + comments 3. **Analyze**: Comments using GPT-4 4. **Email**: Summary report via Gmail 5. **Update**: Spreadsheet status to `Mail sent` ## Node Descriptions | Node Name | Description | |-----------|-------------| | Pick Video IDs from Google Sheet | Watches the spreadsheet and retrieves pending video IDs | | If | Checks whether status is Pending | | Limit | Restricts the number of processed rows | | Set Video Details | Prepares video info (e.g., title, channel) | | Get YouTube Video Details | Fetches metadata (title, channel, etc.) | | Get YouTube Video Comments | Pulls top-level comments using YouTube API | | Prepare Comments Data | Formats comment text for OpenAI | | AI Agent | Summarizes comments using OpenAI's GPT-4 | | Prepare HTML for Email | Converts summary into HTML for email body | | Gmail Account Configuration | Sends the email report via Gmail | | Update Status on Google Sheet | Marks the row as Mail sent | ## Customization Tips - Change the AI prompt for tone, length, or custom metrics - Send results to Slack or Telegram instead of Gmail - Export summaries to Notion, Airtable, or PDF - Schedule it daily/weekly for recurring analysis ## Suggested Sticky Notes for Workflow | Node/Section | Sticky Note Content | |--------------|---------------------| | Pick Video IDs from Google Sheet | Triggers on new YouTube videos in your spreadsheet | | AI Agent | Uses OpenAI to generate an analysis summary - customize prompt as needed | | Gmail | Sends summary report - you can update subject, recipients, or style | | Update Status | Marks video as processed to avoid duplicate runs | ## Required Files | File Name | Purpose | |-----------|---------| | Youtube_Video | Google Sheet to hold YouTube video IDs and status | | Youtube_Comment_Scraper.json | Main n8n workflow export for this automation | ## Testing Tips - Add one test video with a valid YouTube video ID and status = `Pending` - Monitor the workflow logs to confirm API responses - Confirm summary delivery in your inbox - Verify that status updates in the sheet ## Suggested Tags & Categories - #YouTube - #OpenAI - #Automation - #Marketing - #Email - #Analytics

Automate Zillow Property Data Collection with Bright Data and Google Sheets

This workflow automates the extraction of Zillow property listings based on location and category using the Bright Data API, and stores the data in Google Sheets for easy access and analysis.

Automate NocoDB Record Linking via API

This workflow automates the process of linking records in NocoDB using API requests, streamlining data management across tables.

Automate LinkedIn Profile Analysis with AI and Supabase

Streamline LinkedIn data extraction and enrichment using Bright Data, Google Gemini, and Supabase to generate actionable insights for recruiters and analysts.

Flight Data Visualization with Chart.js, QuickChart API & Telegram Bot

# Real-time Flight Data Analytics Bot with Dynamic Chart Generation via Telegram ## Template Overview This advanced n8n workflow creates an intelligent Telegram bot that transforms raw CSV flight data into stunning, interactive visualizations. Users can generate professional charts on-demand through a conversational interface, making data analytics accessible to anyone via messaging. **Key Innovation**: Combines real-time data processing, Chart.js visualization engine, and Telegram's messaging platform to deliver instant business intelligence insights. ## What This Template Does Transform your flight booking data into actionable insights with four powerful visualization types: - **Bar Charts**: Top 10 busiest airlines by flight volume - **Pie Charts**: Flight duration distribution (Short/Medium/Long-haul) - **Doughnut Charts**: Price range segmentation with average pricing - **Line Charts**: Price trend analysis across flight durations Each chart includes auto-generated insights, percentages, and key business metrics delivered instantly to users' phones. ## Technical Architecture ### Core Components 1. **Telegram Webhook Trigger**: Captures user interactions and button clicks 2. **Smart Routing Engine**: Conditional logic for command detection and chart selection 3. **CSV Data Pipeline**: File reading → parsing → JSON transformation 4. **Chart Generation Engine**: JavaScript-powered data processing with Chart.js 5. **Image Rendering Service**: QuickChart API for high-quality PNG generation 6. **Response Delivery**: Binary image transmission back to Telegram ### Data Flow Architecture ``` User Input → Command Detection → CSV Processing → Data Aggregation → Chart Configuration → Image Generation → Telegram Delivery ``` ## Setup Requirements ### Prerequisites - **n8n instance** (self-hosted or cloud) - **Telegram Bot Token** from @BotFather - **CSV dataset** with flight information - **Internet connectivity** for QuickChart API ### Dataset Source This template uses the **Airlines Flights Data** dataset from GitHub: **Dataset**: [Airlines Flights Data by Rohit Grewal](https://github.com/dataminexcode/n8n-workflow/blob/main/Real-time%20Flight%20Data%20Analytics%20Bot%20with%20Dynamic%20Chart%20Generation%20via%20Telegram/data) ### Required Data Schema Your CSV file should contain these columns: ```csv airline,flight,source_city,departure_time,arrival_time,duration,price,class,destination_city,stops ``` ### File Structure ``` /data/ → flights.csv (download from GitHub dataset above) ``` ## Configuration Steps ### 1. Telegram Bot Setup 1. Create a new bot via @BotFather on Telegram 2. Copy your bot token 3. Configure the Telegram Trigger node with your token 4. Set webhook URL in your n8n instance ### 2. Data Preparation 1. Download the dataset from [Airlines Flights Data](https://github.com/dataminexcode/n8n-workflow/blob/main/Real-time%20Flight%20Data%20Analytics%20Bot%20with%20Dynamic%20Chart%20Generation%20via%20Telegram/data) 2. Upload the CSV file to `/data/flights.csv` in your n8n instance 3. Ensure UTF-8 encoding 4. Verify column headers match the dataset schema 5. Test file accessibility from n8n ### 3. Workflow Activation 1. Import the workflow JSON 2. Configure all Telegram nodes with your bot token 3. Test the `/start` command 4. Activate the workflow ## Technical Implementation Details ### Chart Generation Process **Bar Chart Logic**: ```javascript // Aggregate airline counts const airlineCounts = {}; flights.forEach(flight => { const airline = flight.airline || "Unknown"; airlineCounts[airline] = (airlineCounts[airline] || 0) + 1; }); // Generate Chart.js configuration const chartConfig = { type: 'bar', data: { labels, datasets }, options: { responsive: true, plugins: {...} } }; ``` **Dynamic Color Schemes**: - Bar Charts: Professional blue gradient palette - Pie Charts: Duration-based color coding (light to dark blue) - Doughnut Charts: Price-tier specific colors (green to purple) - Line Charts: Trend-focused red gradient with smooth curves ### Performance Optimizations 1. **Efficient Data Processing**: Single-pass aggregations with O(n) complexity 2. **Smart Caching**: QuickChart handles image caching automatically 3. **Minimal Memory Usage**: Stream processing for large datasets 4. **Error Handling**: Graceful fallbacks for missing data fields ### Advanced Features **Auto-Generated Insights**: - Statistical calculations (percentages, averages, totals) - Trend analysis and pattern detection - Business intelligence summaries - Contextual recommendations **User Experience Enhancements**: - Reply keyboards for easy navigation - Visual progress indicators - Error recovery mechanisms - Mobile-optimized chart dimensions (800x600px) ## Use Cases & Business Applications ### Airlines & Travel Companies - **Fleet Analysis**: Monitor airline performance and market share - **Pricing Strategy**: Analyze competitor pricing across

Automate Company Data Enrichment from ZoomInfo to Google Sheets

This workflow enriches company domain lists with detailed business information from ZoomInfo, organizing the data in Google Sheets for sales and research purposes.

Automate Daily Web Data Extraction and Telegram Alerts

Automatically extract structured data from websites daily using Firecrawl and receive alerts via Telegram. Ideal for compliance monitoring and market intelligence.

Automate YouTube Trend Analysis and Data Collection in Google Sheets

Effortlessly track trending YouTube videos in your niche and compile essential data into Google Sheets for comprehensive analysis. Perfect for content creators and marketers.

Automate Domain Traffic Enrichment with SimilarWeb and Google Sheets

Automatically enhance your domain list in Google Sheets with traffic analytics from SimilarWeb, and optionally export the enriched data to Airtable for further analysis.

Automate Local Business Contact Extraction with Google Sheets and AI

This n8n workflow automates the extraction of local business contact details using search terms and locations from Google Sheets. It enriches the data with email addresses using AI, ensuring efficient lead generation.

Automate Export of Google Search Console Data to Google Sheets

This workflow automates the extraction of data from Google Search Console and exports it to Google Sheets for easy visualization and analysis, streamlining SEO tasks.

Enhance SQL Queries with AI-Driven Visualization Using OpenAI and Quickchart.io

This workflow enhances SQL queries by integrating AI-driven visualization capabilities. It uses OpenAI to interpret SQL queries and Quickchart.io to generate dynamic charts, facilitating better data analysis and visualization.

Automate MySQL to Google Sheets Data Sync with Duplicate Prevention

This n8n workflow automates the synchronization of new records from a MySQL database to a Google Sheet every 15 minutes, ensuring no duplicates are transferred.

Automate Facebook Group Post Extraction to Airtop

Efficiently extract and analyze non-sponsored posts from Facebook Groups using Airtop, providing valuable insights for community managers and marketers.

Automate Trustpilot Review Scraping and Sentiment Analysis with DeepSeek and OpenAI

This workflow automates the extraction of Trustpilot reviews, performs sentiment analysis using OpenAI, and saves the results to Google Sheets. It leverages DeepSeek for detailed review data extraction.

Automate Daily Multi-Site Analytics Reports with AI and Deliver via Email & Slack

Streamline the generation and distribution of daily analytics reports from multiple websites using AI for enhanced insights, delivered directly to your email and Slack channels.

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Communication (2,463)AI (1,930)Business Operations & ERPs (1,540)Other (1,425)Productivity (1,202)Marketing (1,145)File & Document Management (802)CRM - Sales (604)Notifications (580)Social Media (562)

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