Data & Analytics Automation Workflows — Page 6 | Neura Market
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    Data & Analytics Workflows

    Data processing and analytics

    • Automate LinkedIn Company Data Extraction to Airtable

      Effortlessly extract and structure detailed company insights from LinkedIn using Airtop, ideal for investors, sales teams, and market researchers.

      n8nFree

    • Transform URL-Encoded amoCRM Webhook Data to JSON in n8n

      This workflow converts URL-encoded webhook data from amoCRM into a structured JSON array, enabling seamless data manipulation in n8n.

      n8nFree

    • Automate Weekly Website Change Detection and Reporting with AI and Google Workspace

      This workflow automates the process of monitoring website changes weekly using AI-powered scraping and Google Workspace integration. It generates detailed reports on content changes and sends them via email.

      n8n

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  1. Automate Daily Google Analytics Reports to Rocket.Chat

    Automatically generate a daily report from Google Analytics and send it to Rocket.Chat for seamless team communication.

    MakeFree

  2. Automate Startup Funding Data Extraction to Excel

    This workflow automates the discovery and extraction of seed-funded startup data from RSS feeds, processes it with AI, and exports it to an Excel sheet on OneDrive, streamlining lead generation for sales teams.

    n8nFree

  3. Automate Business Data Enrichment for Company Domains with Perplexity AI and Google Sheets

    This workflow automates the enrichment of company domain lists with detailed business information using Perplexity AI, storing results in Google Sheets for streamlined analysis.

    n8nFree

  4. Automate Google Reviews Analysis and Summarization with AI

    This n8n workflow automates the process of analyzing Google Maps reviews for restaurants, using AI to summarize insights and identify optimization opportunities. It integrates with Google Sheets, SerpAPI, and OpenAI to streamline data collection, analysis, and reporting.

    n8nFree

  5. Automate Notifications for New Google Sheets Entries Every 45 Minutes

    This workflow checks Google Sheets for new data every 45 minutes and sends a notification to Mattermost if new entries are found.

    n8nFree

  6. Track YouTube Channel's Top Videos in Google Sheets

    Automatically fetch and record the most-viewed videos from specified YouTube channels into a Google Sheet for easy tracking and analysis.

    n8nFree

  7. Generate Interactive Quantity Reports from Revit and IFC Projects to HTML

    ## Revit to HTML Quantity Takeoff Generator Automates extraction of wall quantities from Revit models and creates a professional interactive HTML report. ### Key Features - Automated wall quantity analysis - Calculates volumes by wall type (Type Name) - Generates interactive HTML QTO report - Includes summary statistics: total elements, total and average volumes - Provides detailed breakdown by element type ### How it works 1. Upload a Revit file as input 2. Workflow extracts wall quantities and types 3. Creates and saves a ready-to-share HTML dashboard with QTO data --- - No API keys required - Runs offline - Output is a professional, ready-to-use HTML report ## Consulting and Training We work with leading construction, engineering, consulting agencies, and technology firms around the world to help them implement open data principles, automate CAD/BIM processing, and build robust ETL pipelines. If you would like to test this solution with your own data, or are interested in adapting the workflow to real project tasks, feel free to contact us. ## Author [DataDrivenConstruction.io](https://DataDrivenConstruction.io) [info@datadrivenconstruction.io](mailto:info@datadrivenconstruction.io) **Docs & Issues:** [Full Readme on GitHub](https://github.com/datadrivenconstruction/cad2data-Revit-IFC-DWG-DGN-pipeline-with-conversion-validation-qto)

    n8nFree

  8. Automate Real-time Job and Salary Data Extraction with Bright Data MCP and OpenAI

    Streamline the extraction and analysis of job descriptions and salary details from job listings using Bright Data MCP and OpenAI. Ideal for recruiters, HR teams, and market analysts seeking to automate data collection and analysis.

    n8nFree

  9. Scrape market data and send it to Slack

    Overview Pipedream can leverage both Python and Node.js code in workflows, which can be used to scrape data from websites in real time. his workflow will read market data in real time from a website that publishes unusual asset class pricing, and ...

    PipedreamFree

  10. Automate Construction Blueprint Processing to Google Sheets

    Streamline the conversion of construction blueprints from Google Drive into structured Google Sheets entries using VLM Run for efficient data management.

    n8nFree

  11. Real-Time Email Validation with APILayer in n8n

    This n8n workflow validates email addresses in real-time using the APILayer Email Verification API, enhancing data quality and reducing bounce rates for lead generation, user registration, and newsletter sign-ups.

    n8nFree

  12. Extract Business Data from Google Maps via Chat to Excel and Google Sheets

    ## Who is this for This workflow is designed for marketers, researchers, and business owners who need to quickly find and export company data from Google Maps into a structured table format. ## What problem is this workflow solving Manually collecting business contact information from Google Maps is time-consuming and error-prone. This workflow automates the process, allowing users to instantly extract company data and export it to Excel or Google Sheets for further use. For example, title, rating, reviews, address, operating hours, phone, website, type, GPS coordinates. ## What this workflow does - Takes a user's search query via chat - Scrapes company data from Google Maps based on that query - Returns the results in a downloadable Excel file - Saves the same data to a connected Google Sheets document for easy access and sharing ## Setup 1. Add your credentials: - Google Sheets API - Google Maps API 2. Run the workflow and enter your search request in the chat interface 3. Retrieve your results from either: - The Get XLSX node as an Excel file - The linked Google Sheets file

    n8nFree

  13. Split Out Binary Data

    This workflow helps with processing binary data. You'll often have binary objects with keys such as `attachment_0`, `attachment_1`, `attachment_2`, etc., attached to your items, for example, when reading an incoming email. This binary data is hard to process because it's not an array you can simply loop through. This workflow solves this problem by providing a Function node that takes all incoming items and all their binary data and then returns a single item for each file with a `data` key containing your binary file. Incoming binary data: ![image.png](fileId:635) Processed binary data: ![image.png](fileId:636)

    n8nFree

  14. Automatic Scraping of Company Information Before Call

    Instantly collect and organize detailed company data, allowing sales reps to focus on selling and providing every prospect with personal, in-depth attention. It helps to flag pain points and highlight relevant trends, empowering your team to deliver perfectly customized value propositions every time.

    ActivepiecesFree

  15. Upload Google Drive Files to an InfraNodus Graph

    This template can be used to **upload the files in your Google Drive** to an **[InfraNodus knowledge graph](https://infranodus.com)**. The InfraNodus graph will then reveal the **main topics** and **ideas** in your collection of documents and show the **content gaps** in them. You can also use the **built-in AI** to converse with the documents. ![InfraNodus graph](https://infranodus.com/images/front/infranodus-overview.jpg) You can also access the InfraNodus Graphs via its **GraphRAG API** to reuse them in your other n8n workflows for high-quality content retrieval and knowledge base optimization. The template showcases the use of multiple n8n nodes and processes: - Extracting documents from a Google Drive folder - Text extraction - Optional: high-quality PDF conversion using [ConvertAPI](https://convertapi.com?ref=4l54n) - [InfraNodus knowledge graph](https://infranodus.com) generation **Note**: If you want to **Sync your Google Drive** to an InfraNodus graph, check out our other workflow. ## How it works Here's a description of this workflow step by step: - Find all the files in a specific Google Drive folder - For each file found: reiterate the workflow and - Identify the type of the file (X, PDF, Markdown) - For X and Markdown files, extract the text data - For PDF files, use a special PDF to text converter to extract the text data. (Optional: using [ConvertAPI](https://convertapi.com?ref=4l54n) for better quality PDF conversion) - Forward everything to the InfraNodus `graphAndStatements` [API endpoint](https://support.noduslabs.com/hc/en-us/articles/13605983537692-InfraNodus-API-Access-Points) with the `name` of the new graph, the `text` field with the text data, the text settings, and `doNotSave=false` to create a new graph - Reiterate through another file. ## How to use You need an [InfraNodus GraphRAG API account and key](https://infranodus.com/use-case/ai-knowledge-graphs) to use this workflow. - Create an InfraNodus account - Get the API key at [https://infranodus.com/api-access](https://infranodus.com/api-access) and create a Bearer authorization key for the InfraNodus API nodes. - Use that API key to set up authorization for the InfraNodus tool in the workflow. - If you want to upload the files to an existing graph, you should copy its name from InfraNodus. Otherwise, you can specify any name you want. ## Requirements - An [InfraNodus](https://infranodus.com/use-case/ai-knowledge-graphs) account and API key - A Google Drive account and authorization (you will need to set it up via Google Cloud using the n8n instructions provided in the Google Drive node). ## Customizing this workflow You can use Dropbox instead of Google Drive. You can also modify this workflow slightly to make it sync with a Google Drive when new files appear in it. Check out the **complete guide** at [https://support.noduslabs.com/hc/en-us/articles/20267019838108-Upload-Sync-Your-Google-Drive-Folder-with-InfraNodus-using-n8n](https://support.noduslabs.com/hc/en-us/articles/20267019838108-Upload-Sync-Your-Google-Drive-Folder-with-InfraNodus-using-n8n).

    n8nFree

  16. Automate n8n Creators Leaderboard Reporting

    This n8n workflow automates the aggregation, processing, and reporting of community statistics related to n8n creators and workflows. It generates insightful reports highlighting top contributors, popular workflows, and key trends within the n8n ecosystem.

    n8nFree

  17. Monitor Customer Churn Indicators with Bright Data MCP and OpenAI

    This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automatically monitors customer churn indicators and early warning signals to help reduce customer attrition and improve retention rates. It saves you time by eliminating the need to manually track customer behavior and provides proactive insights for preventing customer churn. ## Overview This workflow automatically scrapes customer data sources, support tickets, usage analytics, and engagement metrics to identify patterns that indicate potential customer churn. It uses Bright Data to access customer data and AI to intelligently analyze behavior patterns and predict churn risk. ## Tools Used - **n8n**: The automation platform that orchestrates the workflow - **Bright Data**: For scraping customer data and analytics platforms without being blocked - **OpenAI**: AI agent for intelligent churn prediction and pattern analysis - **Google Sheets**: For storing churn indicators and customer retention data ## How to Install 1. **Import the Workflow**: Download the .json file and import it into your n8n instance. 2. **Configure Bright Data**: Add your Bright Data credentials to the MCP Client node. 3. **Set Up OpenAI**: Configure your OpenAI API credentials. 4. **Configure Google Sheets**: Connect your Google Sheets account and set up your churn monitoring spreadsheet. 5. **Customize**: Define customer data sources and churn indicator parameters. ## Use Cases - **Customer Success**: Proactively identify at-risk customers for retention efforts. - **Account Management**: Prioritize customer outreach based on churn probability. - **Product Teams**: Identify product issues that contribute to customer churn. - **Revenue Operations**: Reduce churn rates and improve customer lifetime value. ## Connect with Me - **Website**: https://www.nofluff.online - **YouTube**: https://www.youtube.com/@YaronBeen/videos - **LinkedIn**: https://www.linkedin.com/in/yaronbeen/ - **Get Bright Data**: https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission) #n8n #automation #churnprediction #customerretention #brightdata #webscraping #customeranalytics #n8nworkflow #workflow #nocode #churnindicators #customersuccess #retentionanalysis #customerchurn #customerinsights #churnprevention #retentionmarketing #customerdata #churnmonitoring #customerlifecycle #retentionmetrics #churnanalysis #customerbehavior #retentionoptimization #churnreduction #customerengagement #retentionstrategy #churnmanagement #customerhealth #retentiontracking

    n8nFree

  18. Automate Google Places Data Collection and Storage in Google Sheets

    Streamline your lead generation by automatically scraping Google Places data using Dumpling AI and storing it in Google Sheets. Ideal for marketers and SEO professionals seeking efficient data collection.

    n8nFree

  19. Automate AI Access to Transportation Laws and Incentives

    Transform the Transportation Laws and Incentives API into a Machine Communication Protocol (MCP) server, enabling seamless AI agent integration for querying laws and incentives.

    n8nFree

  20. Automate Web Data Search, Summarization, and Delivery via Webhooks

    This workflow automates the process of searching web data using Perplexity, cleaning and summarizing the results with Gemini AI, and delivering structured insights to a webhook.

    n8nFree

  21. Automate Multi-Search Engine Queries and Extract Structured Data

    Simulate human-like searches across Google, Bing, and Yandex using Bright Data MCP and extract structured insights with Google Gemini.

    n8nFree
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    Communication (2,463)AI (1,929)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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