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This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automatically monitors competitor pricing changes and website updates to keep you informed of market movements. It saves you…
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This workflow contains community nodes that are only compatible with the self-hosted version of n8n.
This workflow automatically monitors competitor pricing changes and website updates to keep you informed of market movements. It saves you time by eliminating the need to manually check competitor websites and provides alerts only when actual changes occur, preventing information overload.
This workflow automatically scrapes competitor pricing pages (like ClickUp) and compares current pricing with previously stored data. It uses Bright Data to access competitor websites without being blocked and AI to intelligently extract pricing information, updating your tracking spreadsheet only when changes are detected.
Trigger: Check Job Listings (Schedule Trigger): Starts the workflow automatically on a schedule (cron / fixed interval).
Set Search Parameters (Set): Sets or transforms workflow data — prepares, renames, or injects fields before the next step.
OpenAI: LLM Brain (LLM Chat Open AI): Provides the OpenAI chat model (GPT) that powers the AI reasoning in this workflow.
MCP Client to Scrape as markdown (MCP Client Tool): Connects the AI agent to external tools via an MCP (Model Context Protocol) server.
No Operation, do nothing (No Op): A pass-through step that does nothing — used to organize the flow.
AI agent (Agent): The AI agent that orchestrates the workflow — it reasons over the input and decides which tools to call.
Retrieve Pricing data (Google Sheets): Reads from or writes rows to a Google Sheets spreadsheet.
If price changes (If): Branches the workflow based on a true/false condition.
Update google sheet (Google Sheets): Reads from or writes rows to a Google Sheets spreadsheet.
Auto-fixing Output Parser (Output Parser Autofixing): Shapes the AI output into a predictable structure.
OpenAI Chat Model (LLM Chat Open AI): Provides the OpenAI chat model (GPT) that powers the AI reasoning in this workflow.
Structured Output Parser (Output Parser Structured): Forces the AI output into a structured JSON schema for reliable downstream use.
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automatically monitors keyword rankings across search engines to track SEO performance and identify optimization opportunities. It saves you time by eliminating the need to manually check keyword positions and provides comprehensive ranking data for strategic SEO decision making. Overview This workflow automatically scrapes search engine results pages (SERPs) to track keyword rankings, competitor positions, and search features. It uses Bright Data to access search results without restrictions and AI to intelligently parse ranking data, track changes, and identify SEO opportunities. Tools Used n8n: The automation platform that orchestrates the workflow Bright Data: For scraping search engine results without being blocked OpenAI: AI agent for intelligent ranking analysis and SEO insights Google Sheets: For storing keyword ranking data and tracking changes 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 ranking tracking spreadsheet 5. Customize: Define target keywords and ranking monitoring parameters Use Cases SEO Teams: Track keyword performance and identify ranking improvements Content Marketing: Monitor content ranking success and optimization needs Competitive Analysis: Track competitor keyword rankings and strategies Digital Marketing: Measure organic search performance and ROI 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 #keywordrankings #seo #searchrankings #brightdata #webscraping #seotools #n8nworkflow #workflow #nocode #ranktracking #keywordmonitoring #seoautomation #searchmarketing #organicseo #seoresearch #rankinganalysis #keywordanalysis #searchengines #seomonitoring #digitalmarketing #serp #keywordtracking #seoanalytics #searchoptimization #rankingreports #keywordresearch #seoinsights #searchperformance
by Yaron BeenDescription This workflow automates the process of scraping the latest discussions from HackerNews, transforming raw threads into human readable content using Google Gemini, and exporting the final content into a well-formatted Google Doc. Overview This n8n workflow is responsible for extracting trending posts from the HackerNews API. It loops through each item, performs HTTP data extraction, utilizes Google Gemini to generate human-readable insights, and then exports the enriched content into Google Docs for distribution, archiving, or content creation. Who this workflow is for Tech Newsletter Writers: Automate the collection and summarization of trending HackerNews posts for inclusion in weekly or daily newsletters. Content Creators & Bloggers: Quickly generate structured summaries and insights from HackerNews threads to use as inspiration or supporting content for blog posts, videos, or social media. Startup Founders & Product Builders: Monitor HackerNews for discussions relevant to your niche or competitors, and keep a pulse on the community’s opinions. Investors & Analysts: Surface early signals from the tech ecosystem by identifying what’s trending and how the community is reacting. Researchers & Students: Analyze popular discussions and emerging trends in technology, programming, and startups—enriched with AI-generated insights. Digital Agencies & Consultants: Offer HackerNews monitoring and insight reports as a value-added service to clients interested in the tech space. Tools Used n8n: The core automation engine that manages the trigger, transformation, and export. HackerNews API: Provides access to trending or new HN posts. Google Gemini: Enriches HackerNews content with structured insights and human-like summaries. Google Docs: Automatically creates and updates a document with the enriched content, ready for sharing or publishing. How to Install Import the Workflow: Download the .json file and import it into your n8n instance. Set Up HackerNews Source: Choose whether to use the HN API (via HTTP Request node) or RSS Feed node. Configure Gemini API: Add your Google Gemini API key and design the prompt to extract pros/cons, key themes, or insights. Set Up Google Docs Integration: Connect your Google account and configure the Google Docs node to create/update a document. Test and Deploy: Run a test job to ensure data flows correctly and outputs are formatted as expected. Use Cases Tech Newsletter Authors: Generate ready-to-use summaries of trending HackerNews threads. Startup Founders: Stay informed on key discussions, product launches, and community feedback. Investors & Analysts: Spot early trends, technical insights, and startup momentum directly from HN. Researchers: Track community reactions to new technologies or frameworks. Content Creators: Use the enriched data to spark blog posts, YouTube scripts, or LinkedIn updates. Connect with Me Email: ranjancse@gmail.com LinkedIn: https://www.linkedin.com/in/ranjan-dailata/ Get Bright Data: Bright Data (Supports free workflows with a small commission) #n8n #automation #hackernews #contentcuration #aiwriting #geminiapi #googlegemini #techtrends #newsletterautomation #googleworkspace #rssautomation #nocode #structureddata #webscraping #contentautomation #hninsights #aiworkflow #googleintegration #webmonitoring #hnnews #aiassistant #gdocs #automationtools #gptlike #geminiwriter
by Ranjan DailataWant to check out all my flows, follow me on: https://maxmitcham.substack.com/ https://www.linkedin.com/in/max-mitcham/ Email Manager - Intelligent Gmail Classification This automation flow is designed to automatically monitor incoming Gmail messages, analyze their content and context using AI, and intelligently classify them with appropriate labels for better email organization and prioritization. How It Works (Step-by-Step): 1. Gmail Monitoring (Trigger) Continuously monitors your Gmail inbox: `` Polls for new emails every minute Captures all incoming messages automatically Triggers workflow for each new email received ` 2. Email Content Extraction Retrieves complete email details: ` Full email body and headers Sender information and recipient lists Subject line and metadata Existing Gmail labels and categories Email threading information (replies/forwards) ` 3. Email History Analysis AI agent checks relationship context: ` Searches for previous emails from the same sender Checks sent folder for prior outbound correspondence Determines if this is a first-time contact (cold email) Analyzes conversation thread history ` 4. Intelligent Classification Agent Advanced AI categorization using: ` Claude Sonnet 4 for sophisticated email analysis Context-aware classification based on email history Content analysis for intent and urgency detection Header analysis for automated vs. human-sent emails ` 5. Smart Label Assignment Automatically applies appropriate Gmail labels: ` To Respond: Requires direct action/reply FYI: For awareness, no action needed Notification: Service updates, policy changes Marketing: Promotional content and sales pitches Meeting Update: Calendar-related communications Comment: Document/task feedback ` 6. Structured Processing Ensures consistent labeling: ` Uses structured output parsing for reliability Returns specific Label ID for Gmail integration Applies label automatically to the email Maintains classification accuracy ` Tools Used: ` n8n: Workflow automation platform Gmail API: Email monitoring and label management Anthropic Claude: Advanced email content analysis Gmail Tools: Email history checking and search Structured Output Parser: Consistent AI responses ` Key Features: ` Real-time email monitoring and classification Context-aware analysis using email history Intelligent cold vs. warm email detection Multiple classification categories for organization Automatic Gmail label application Header analysis for automated email detection Thread-aware conversation tracking ` Ideal Use Cases: ` Busy executives managing high email volumes Sales professionals prioritizing prospect communications Support teams organizing customer inquiries Marketing teams filtering promotional content Anyone wanting automated email organization Teams needing consistent email prioritization ``
by Max MitchamGood to know: This workflow automatically processes incoming emails (you can filter them base on your needs) and creates concise AI-powered summaries, then logs them to a Google Sheets spreadsheet for easy tracking and analysis. Who is this for? Business professionals who receive many emails and need quick summaries Customer service teams tracking email communications Project managers monitoring email correspondence Anyone who wants to automatically organize and summarize their email communications What problem is this workflow solving? This workflow solves the problem of email overload by automatically reading incoming emails, generating concise summaries using AI, and organizing them in a structured format. It eliminates the need to manually read through every email to understand the key points and maintains a searchable record of communications. What this workflow does: Monitors your Gmail inbox for new emails Filters emails based on specific criteria (sender validation) Extracts key information (sender, date, subject, content) Uses AI to generate concise summaries of email content Automatically logs all data including the AI summary to a Google Sheets spreadsheet How it works: 1Gmail trigger monitors for new emails at specified intervals 2Email data is processed and formatted using JavaScript 3A conditional check validates the sender 4AI agent (powered by Groq's language model) reads the email content and generates a summary 5All information is automatically appended to a Google Sheets document How to use: Set up Gmail OAuth2 credentials in n8n Configure Google Sheets OAuth2 credentials Set up Groq API credentials for AI processing Create a Google Sheets document and update the document ID Customize the sender validation criteria as needed Activate the workflow Requirements: n8n instance (cloud or self-hosted) Gmail account with OAuth2 access Google Sheets account AI API Basic understanding of n8n workflow Customizing this workflow: Modify the Gmail trigger filters to target specific labels or criteria Adjust the sender validation logic in the conditional node Customize the AI prompt to change summary style or focus Add additional data fields to the Google Sheets output Change the polling frequency for checking new emails Switch to different AI models by replacing the Groq node
by ARRE