Data & Analytics Automation Workflows — Page 8 | Neura Market
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    Data & Analytics Workflows

    Data processing and analytics

    • Automated Data Flow Distribution Using Incremental Logic

      This workflow automates the distribution of data flows by using incremental logic to route data through different paths based on conditions.

      MakeFree

    • Automate Excel Data Import to PostgreSQL Table

      Effortlessly read data from an Excel file and insert it into a PostgreSQL table, streamlining data management processes.

      n8nFree

    • Automate Security Reconnaissance with Google Dorks and Email Reports

      This workflow automates the process of generating Google dorks for a given domain, scraping search results, and emailing a formatted report. Ideal for security professionals seeking efficient reconnaissance.

      n8nFree

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  1. Automate Company Data Enrichment in Google Sheets Using Explorium MCP

    This n8n workflow automatically enriches company data in Google Sheets by integrating with Explorium MCP. It updates your spreadsheet with firmographic details like business ID, NAICS code, employee range, and revenue range.

    n8nFree

  2. Automate Regional Sentiment Analysis from Social Media Using Bright Data and OpenAI

    This workflow automates the tracking of regional sentiment from social media and news outlets, providing real-time insights into public opinion on your brand or topic in specific areas.

    n8nFree

  3. Sequential Google Sheets Data Processing with Execution Control

    Ensure reliable and sequential data processing from Google Sheets by preventing simultaneous workflow executions in n8n.

    n8nFree

  4. Optimize Website Content with Google Analytics, Firecrawl, and InfraNodus

    Extract top-performing pages from Google Analytics, scrape content with Firecrawl, and visualize insights using InfraNodus to identify content gaps and opportunities.

    n8nFree

  5. Automate YouTube Video Comment Analysis for Insightful Reports

    This n8n workflow automates the analysis of YouTube video comments and details to generate comprehensive reports. It provides insights into video performance, audience engagement, and viewer feedback, helping creators identify trends and opportunities for content improvement.

    n8nFree

  6. Generate Data Pipeline Blueprints with Claude 3.5, Slack, and Avily Search

    ## Architecture Agent ## Overview The Architect Agent listens to Slack messages and generates full data architecture blueprints in response. Powered by Claude 3.5 (Anthropic) for reasoning and design, and heavily for real-time web search, this agent creates production-ready data pipeline scaffolds on-demand - transforming natural language prompts into structured data engineering solutions. ## Capabilities - Understands and interprets user requests from Slack - Designs end-to-end data pipeline architectures using industry best practices. - Outputs include high-level architecture diagrams ## Required Connections To operate correctly, the following integrations must be in place: - Slack API token with permission to read messages and post responses - Heavily API Key for external search functionality - Claude 3.5 API Access via Anthropic Detailed configuration instructions are provided in the workflow. ## Setup time <15 minutes ## Example input: Create a data pipeline orchestrated by Airflow, running on a Docker image. It should connect to a MySQL database, load the data into a PostgreSQL DB (incremental load), and then transform the data into business-oriented tables also in the PostgreSQL database. Create an example setup with raw sales data. ## Customizing this workflow Try saving outputs to Google Drive to store all your architecture blueprints.

    n8nFree

  7. Automate Indeed Company Data Extraction and Summarization with Airtable and Google Gemini

    This workflow automates the extraction and summarization of company data from Indeed using Bright Data, storing results in Airtable, and leveraging Google Gemini for data transformation.

    n8nFree

  8. Convert CSV to JSON with Error Handling and Slack Alerts

    This workflow converts CSV data into JSON format via a webhook, with robust error handling and Slack notifications for any issues encountered.

    n8nFree

  9. Joining Different Datasets

    **Ask:** Merge two datasets into one based on matching rules. **Why:** A powerful capability of n8n is to easily branch out the workflow in order to process different datasets. Even more powerful is the ability to join them back together with SQL-like joining logic. **Main use cases:** - Appending datasets - Keeping only new items - Keeping only existing items

    n8nFree

  10. Automate SQL Query Generation and Visualization from Natural Language

    This workflow allows users to convert natural language inputs into SQL queries, execute them on a PostgreSQL database, and visualize the results using QuickChart, streamlining data analysis without manual query writing.

    n8nFree

  11. Automate LinkedIn Company URL Extraction and Enrichment

    This n8n workflow automates the process of extracting and enriching LinkedIn company URLs from a list of company names in Google Sheets using Bright Data and Google Gemini AI.

    n8nFree

  12. Automate Business Lead Scraping and Data Cleaning to Google Sheets

    Streamline your lead generation process by automatically scraping business leads from Scrapeless, cleaning the data, and exporting it to Google Sheets for easy access and analysis.

    n8nFree

  13. Enrich GoHighLevel Leads with Business Data from DataForSEO

    Automatically enhance your GoHighLevel leads with detailed business information using DataForSEO API and Make. Access critical data such as business name, description, categories, and more to personalize outreach and optimize campaigns.

    MakeFree

  14. Automate Event Data Collection from 10times Using AI and Google Sheets

    Streamline your event data collection process by automatically scraping and organizing event information from 10times into Google Sheets using AI and Bright Data.

    n8nFree

  15. Extract & Summarize B2B Leads from Crunchbase with Bright Data, GP-4O & Google Sheets

    ### Who this is for The Crunchbase B2B Lead Discovery Pipeline is designed for sales teams, B2B marketers, business analysts, and data operations teams who need a reliable way to extract, structure, and summarize company information from Crunchbase to fuel lead generation and market intelligence. This workflow is ideal for: 1. **Sales Development Reps (SDRs)** - Needing structured leads from Crunchbase 2. **Marketing Analysts** - Generating segmented outreach lists 3. **Growth Teams** - Identifying trending B2B startups 4. **RevOps Teams** - Automating company research pipelines 5. **Data Teams** - Consolidating insights into Google Sheets for dashboards ### What problem is this workflow solving? Manual extraction of company data from Crunchbase is time-consuming, inconsistent, and often lacks the contextual summary required for sales enablement or growth targeting. This workflow automates the extraction, transformation, summarization, and delivery of Crunchbase company data into structured formats, making it instantly usable for B2B targeting and analysis. It solves: - The difficulty of scaling lead discovery from Crunchbase - The need to summarize raw textual content for quick insights - The lack of integration between web scraping, LLM processing, and storage ### What this workflow does - **Markdown to Textual Data Extractor**: Takes raw scraped markdown from Crunchbase and converts it into readable plain text using a basic LLM chain - **Structured Data Extraction**: Applies a parsing model (OpenAI) to extract structured fields such as company name, funding rounds, industry tags, location, and founding year - **Summarization Chain**: Generates an executive summary from the raw Crunchbase text using a summarization prompt template - **Send to Google Sheets**: Adds the structured data and summary into a Google Sheet for team access and further processing - **Persist to Disk**: Saves both raw and structured data files locally for archiving or further use - **Webhook Notification**: Sends a structured payload to a webhook endpoint (e.g., Slack, CRM, internal tools) with lead insights ### Pre-conditions 1. You need to have a [Bright Data](https://brightdata.com/) account and do the necessary setup as mentioned in the Setup section below. 2. You need to have an OpenAI Account. ### Setup - Sign up at [Bright Data](https://brightdata.com/). - Navigate to Proxies & Scraping and create a new Web Unlocker zone by selecting Web Unlocker API under Scraping Solutions. - In n8n, configure the Header Auth account under Credentials (Generic Auth Type: Header Authentication). ![Header Authentication.png](fileId:1345) The Value field should be set with the **Bearer XXXXXXXXXXXXXX**. The XXXXXXXXXXXXXX should be replaced by the Web Unlocker token. - In n8n, Configure the Google Sheet Credentials with your own account. Follow this documentation - [Set Google Sheet Credential](https://docs.n8n.io/integrations/builtin/credentials/google/) - In n8n, configure the OpenAi account credentials. - Ensure the URL and Bright Data zone name are correctly set in the **Set URL, Filename and Bright Data Zone** node. - Set the desired local path in the **Write a file** to disk node to save the responses. ### How to customize this workflow to your needs **LLM Prompt Customization**: - Modify the extraction prompt to include additional fields like revenue, social links, leadership team - Adjust summarization tone (e.g., executive summary, sales-focused snapshot or marketing digest) **File Persistence** - Store raw markdown, extracted JSON, and summary text separately for audit/debug **Webhook Notification** - Connect to CRM (e.g., HubSpot, Salesforce) via webhook to automatically create leads - Send Slack notifications to alert sales reps when a new high-potential company is discovered

    n8nFree

  16. Send Google Analytics Data to AI to Analyze, Then Save Results in Baserow

    ## Who's this for? - If you own a website and need to analyze your Google Analytics data - If you need to create an SEO report on which pages are getting the most traffic or how your Google search terms are performing - If you want to grow your site based on suggestions from data ![Screenshot 20241101 at 11.07.21PM.png](fileId:858) ![Screenshot 20241101 at 11.07.31PM.png](fileId:857) ## Use case Instead of hiring an SEO expert, I run this report weekly. It checks and compares the data from this week to the week before: - Views based on countries - The top performing pages - Google Search Console performance [Watch YouTube tutorial here](https://www.youtube.com/watch?v=KlWFhz9M9g) [Get my SEO A.I. agent system here](https://2828633406999.gumroad.com/l/rumjahn) ## How it works - The workflow gathers Google Analytics data for the past 7 days, then it gathers the data for the week before for comparison. - It does this 3 times to get: views per country, engagement per page, and Google Search Console results for organic search results. - The Google Analytics nodes have already chosen the correct dimensions and metrics. - At the end, it passes the data to openrouter.ai for A.I. analysis. - Finally, it saves to Baserow. ## How to use this - Input your Google Analytics credentials - Input your property ID - Input your Openrouter.ai credentials - Input your Baserow credentials - You will need to create a Baserow database with columns: Name, Country Views, Page Views, Search Report, Blog (name of your blog). Created by [Rumjahn](https://rumjahn.com/)

    n8nFree

  17. Analyze Hacker News for Business Insights Using AI and Google Sheets

    This n8n workflow monitors top Hacker News posts to identify business-related pain points using AI, and logs results into Google Sheets for further analysis.

    n8nFree

  18. Efficiently Scrape Google Maps Data Using SerpAPI and n8n

    Automate the extraction of detailed Google Maps data using SerpAPI and store it in Google Sheets for easy access and analysis.

    n8nFree

  19. Automate IP Geolocation Retrieval via Webhook with IP-API

    Effortlessly obtain detailed geolocation data for any IP address by sending a webhook request. Utilize IP-API.com to enhance user insights, personalize experiences, or bolster security measures.

    n8nFree

  20. Bypass Cloudflare Turnstile for Web Scraping with 2captcha

    This workflow contains community nodes that are only compatible with the self-hosted version of n8n. ## Bypass Cloudflare Turnstile for Web Scraping with n8n ### How It Works This workflow automatically solves Cloudflare Turnstile CAPTCHAs for legitimate web scraping and automation tasks. It extracts the Turnstile sitekey from target webpages, submits solving requests to [2captcha](https://2captcha.com/?from=26496602), and returns bypass tokens that can be used in automated form submissions or data collection workflows. ### Set Up Steps 1. [Create a 2captcha Account](https://2captcha.com/?from=26496602): Sign up and get your API clientKey for CAPTCHA solving. 2. Import the Workflow into n8n: Add the workflow to your n8n instance. 3. Configure Authentication: Set up custom HTTP authentication with your clientKey in the credential settings. 4. Test the Workflow: Run with the demo URL to verify Turnstile detection and solving works correctly. 5. Replace the sample destination_url with your target website and start automating! Setup should take just a few minutes with your API credentials ready. ### Getting Started Once configured, the workflow can extract sitekeys from any Turnstile-protected webpage and return solved tokens for seamless automation. The [API documentation](https://2captcha.com/api-docs/cloudflare-turnstile?from=26496602) provides additional technical details for advanced use cases. ### Customizing the Workflow The workflow targets a demo page for testing. To adapt it, simply update the destination_url variable with your target website. You can also modify the sitekey extraction logic for sites that implement Turnstile differently, or integrate this as a subworkflow into larger scraping operations. ### API Reference Uses the TurnstileTaskProxyless task type with REST-based HTTPS communication. Each solve costs approximately $0.002 USD and typically completes within 30-90 seconds depending on queue load.

    n8nFree

  21. Extract, Summarize & Analyze Amazon Price Drops with Bright Data & Google Sheets

    ### Notice Community nodes can only be installed on self-hosted instances of n8n. ### Who this is for This n8n-powered automation uses Bright Data's MCP Client to extract real-time data from a price drop site listing Amazon products, including price changes and related product details. The extracted data is enriched with structured data transformation, content summarization, and sentiment analysis using Google Gemini LLM. The Amazon Price Drop Intelligence Engine is designed for: - **Ecommerce Analysts** who need timely updates on competitor pricing trends - **Brand Managers** seeking to understand consumer sentiment around pricing - **Data Scientists** building pricing models or enrichment pipelines - **Affiliate Marketers** looking to optimize campaigns based on dynamic pricing - **AI Developers** automating product intelligence pipelines ### What problem is this workflow solving? This workflow solves several key pain points: **Reliable Scraping**: Uses Bright Data MCP, a managed crawling platform that handles proxies, captchas, and site structure changes automatically. **Insight Generation**: Transforms unstructured HTML into structured data and then into human-readable summaries using Google Gemini LLM. **Sentiment Context**: Goes beyond raw pricing data to reveal how customers feel about the price change, helping businesses and researchers measure consumer reaction. **Automated Reporting**: Aggregates and stores data for easy access and downstream automation (e.g., dashboards, notifications, pricing models). ### What this workflow does **Scrape price drop site with Bright Data MCP** The workflow begins by scraping targeted price drop site for Amazon listings using Bright Data's Model Context Protocol (MCP). You can configure this to target: **Structured Data Extraction** Once the HTML content is retrieved, Google Gemini is employed to: - Parse and structure the product information (title, price, discount, brand, ratings) **Summarization & Sentiment Analysis** The extracted data is passed through an LLM chain to: - Generate a concise summary of the product and its recent price movement - Perform sentiment analysis on user reviews and public perception **Store the Results** - Save to disk for archiving or bulk processing - Updated in a Google Sheet, making it instantly shareable with your team or integrated into a BI dashboard ### Pre-conditions 1. Knowledge of Model Context Protocol (MCP) is highly essential. Please read this blog post - [model-context-protocol](https://www.anthropic.com/news/model-context-protocol) 2. You need to have the [Bright Data](https://brightdata.com/) account and do the necessary setup as mentioned in the **Setup** section below. 3. You need to have the Google Gemini API Key. Visit [Google AI Studio](https://aistudio.google.com/) 4. You need to install the Bright Data MCP Server [@brightdata/mcp](https://www.npmjs.com/package/@brightdata/mcp) 5. You need to install the [n8n-nodes-mcp](https://github.com/nerding-io/n8n-nodes-mcp) ### Setup 1. Please make sure to set up n8n locally with MCP Servers by navigating to [n8n-nodes-mcp](https://www.youtube.com/watch?v=NUb73ErUCsA) 2. Please make sure to install the Bright Data MCP Server [@brightdata/mcp](https://www.npmjs.com/package/@brightdata/mcp) on your local machine. 3. Sign up at [Bright Data](https://brightdata.com/). 4. Create a Web Unlocker proxy zone called mcp_unlocker on Bright Data control panel. 5. Navigate to Proxies & Scraping and create a new Web Unlocker zone by selecting Web Unlocker API under Scraping Solutions. 6. In n8n, configure the Google Gemini (PaLM) API account with the Google Gemini API key (or access through Vertex AI or proxy). 7. In n8n, configure the credentials to connect with MCP Client (SDIO) account with the Bright Data MCP Server as shown below. ![MCPClientAccount.png](fileId:1434) Make sure to copy the Bright Data API_TOKEN within the Environments textbox above as API_TOKEN=<your-token> ### How to customize this workflow to your needs - **Target different platforms**: Switch Amazon for Walmart, eBay, or any e-commerce source using Bright Data's flexible scraping infrastructure. - **Enrich with more LLM tasks**: Add brand tone analysis, category classification, or competitive benchmarking using Gemini prompts. - **Visualize output**: Pipe the Google Sheet to Looker Studio, Tableau, or Power BI. - **Notification integrations**: Add Slack, Discord, or email notifications for price drop alerts.

    n8nFree
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