by Dixit Ram
Who's it for This workflow is for anyone who wants to stay informed without the overwhelm. Whether you're tracking industry news, following your favorite blogs, monitoring competitors, or just keeping up with topics you care about—this automated newsletter keeps you in the loop effortlessly. What it does This automated workflow fetches content from your favorite RSS feeds, filters it based on your interests using Google Gemini AI, and sends you a beautifully formatted HTML newsletter at your preferred time. The AI selects the top 10-15 items from each category based on keywords you define, delivering only what matters to you. How it works Schedule Trigger: Runs daily at your chosen time (default: 9:00 AM) RSS Feeds: Fetches content from your favorite news sources and websites Processing: Splits URLs, loops through feeds in batches to avoid rate limits Merge & Convert: Combines all RSS items into a single CSV file AI Curation: Google Gemini analyzes the content and selects relevant items based on your keywords Email Delivery: Sends a personalized HTML newsletter with summaries and images Requirements Google Gemini API** credentials (for AI curation) SMTP credentials** (for sending emails) Active n8n instance (self-hosted or cloud) How to set up Add your Google Gemini API credentials in both Gemini nodes Configure your SMTP settings in the "Send email" node Update the email addresses (from and to) in the email node Add your favorite RSS feed URLs in the "Set" nodes Customize the AI keywords in "Analyze document" to match your interests Set your preferred schedule time in the trigger node How to customize Add your RSS feeds**: Replace the example URLs in both "Set" nodes with RSS feeds from your favorite sources (blogs, news sites, podcasts, YouTube channels, etc.) Define your interests**: Modify the keywords in the "Analyze document" AI prompt to filter content that matters to you Adjust categories**: Change the two sections to match your needs (e.g., "Industry News" and "Competitor Updates" or "Learning Resources" and "Tools") Change email format**: Update the HTML template in the AI prompt to customize the newsletter design Modify delivery time**: Update the schedule trigger to run at your preferred time
by The O Suite
How the n8n OWASP Scanner Works & How to Set It Up How It Works (Simple Flow): Input**: Enter target URL + endpoint (e.g., https://example.com, /login) Scan**: This workflow executes 5 parallel HTTP tests (Headers, Cookies, CORS, HTTPS, Methods) Analyze**: Pure JS logic checks OWASP ASVS (Application Security Verification Standard) rules (no external tools) Merge**: Combines all findings into one Markdown report Output: Auto-generates + downloads scan-2025-11-16_210900.md (example filename) Email:** (Optional) Forward the report to an email address using Gmail. Setup in 3 Steps (2 Minutes) Import Workflow Copy the full JSON (from "Export Final Workflow") In n8n → Workflows → Import from JSON → Paste → Import (Optional) Connect your Gmail credentials In the last node to auto-email the report Click Execute the workflow Enter a URL in the new window, then click 'submit'. You can alternatively download or receive the Markdown report directly from the Markdown to File node (Supports any HTTP/HTTPS endpoint. Works in n8n Cloud or self-hosted.)
by Nitin Garg
How it works Schedule Trigger runs every 6 hours (customizable) Apify Scraper fetches Upwork jobs matching your criteria Deduplication filters out jobs you've already seen AI Scoring (GPT-4) evaluates fit, client quality, budget (0-100 score) Filter keeps only jobs scoring 60+ Proposal Generator creates personalized proposals Google Sheets logs all results Telegram sends summary notification Setup steps Time: ~15 minutes Create Google Sheet with "Job ID" column Get Apify account + Upwork scraper actor Get OpenAI API key Set environment variables: GOOGLE_SHEETS_DOC_ID APIFY_ACTOR_ID TELEGRAM_CHAT_ID Create credentials: Google Sheets, Apify (Header Auth), OpenAI, Telegram Connect credentials to workflow nodes Who is this for? Freelancers actively applying to Upwork jobs Agencies monitoring multiple job categories Consultants prioritizing high-quality leads Estimated costs Per run:** $0.50-3.00 (Apify + OpenAI) Monthly (4x/day):** $50-200
by Recrutei Automações
Overview: Automated Vacancy Launch & AI Marketing This workflow streamlines the entire job opening process by connecting your ATS to your operational and marketing tools. It not only manages deadlines but also automates the promotion of the vacancy. Key Features: Schedule: Creates SLA and Expiration events in Google Calendar based on ATS dates. Track: Creates a central task in ClickUp to manage the selection process. Content Generation: Uses GPT-4o to analyze the job description and write a compelling marketing post. Publish: Automatically posts the job to LinkedIn and logs the action back in the ClickUp task. Setup Instructions Webhook: Configure your Recrutei ATS (or similar) to trigger this workflow. Google Calendar: Select the calendar for deadline tracking. ClickUp: Map the Team, Space, and List where vacancy tasks should be created. OpenAI: Ensure you have a valid API Key. LinkedIn: Connect your profile or company page.
by Thesys
Analyze crypto markets with interactive graphs using CoinGecko and C1 by Thesys This n8n template can answer questions about real-time prices, market moves, trending coins, and token details with interactive UI in real time (cards, charts, buttons) instead of plain text using C1 by Thesys. Data is fetched through the CoinGecko Free MCP tool. Check out a working demo of this template here. What this workflow does A user sends a message in the n8n Chat UI (public chat trigger). The AI Agent interprets the request. The agent calls CoinGecko Free MCP to fetch market data (prices, coins, trending, etc.). The model responds through C1 by Thesys with a streaming, UI answer. Example prompts you can try right away Copy/paste any of these into the chat: “What’s the current price of Bitcoin and Ethereum?” “Give me today’s market summary: total market cap, BTC dominance, top gainers/losers.” “Compare ETH vs SOL over 30 days with a chart.” > Note: This template is for information and visualization, not financial advice. How it works User sends a prompt C1 model based on prompt will use CoinGecko MCP to fetch live data C1 Model generates a UI Schema Response Schema is rendered as UI using Thesys GenUI SDK on the frontend Setup Make sure you have the following: 1️⃣ Thesys API Key You’ll need an API key to authenticate and use Thesys services. 👉 Get your key here What is C1 by Thesys? C1 by Thesys is an API middleware that augments LLMs to respond with interactive UI (charts, buttons, forms) in real time instead of text. Facing setup issues? If you get stuck or have questions: 💬 Join the Thesys Community 📧 Email support: support@thesys.dev
by Jinash Rouniyar
PROBLEM Managing multiple RAG AI agents can be complex when each has its own purpose and vector database. Manually tracking agents and deciding which one to query wastes time. LLMs often struggle to determine which agent best fits a user’s request. This workflow enables automated multi-agent orchestration, dynamically selecting and querying the correct agent using Contextual AI Query Tool and Gemini 2.5 Flash. How it works A form trigger allows users to create new agents by specifying a name, description, datastore, and uploading files. A new agent is created with the provided information and files are ingested in the datastore We get the status of file ingestion every 30 seconds until the ingestion process is complete When users send queries, the Agent Orchestrator identifies the most relevant agent to generate grounded, context-aware responses. Note: The document ingestion process is asynchronous and may take a few minutes before your agent has the document fully available in the datastore for querying. How to set up Create a free Contextual AI account and obtain your CONTEXTUALAI_API_KEY. Add CONTEXTUALAI_API_KEY as an environment variable in n8n. For the baseline model, we have used Gemini 2.5 Flash Model, you can find your Gemini API key here How to customize the workflow Replace the Form Trigger with a Webhook Trigger or manual input to integrate with custom systems. Swap Gemini 2.5 Flash with another LLM provider Update the wait time as per user requirement Modify the system prompt to fine-tune how the orchestration logic selects and queries agents. You can check out this Contextual AI API reference for more details on agent creation and usage. If you have feedback or need support, please email feedback@contextual.ai.
by Abdullah Alshiekh
💡 What Problem Does It Solve? Businesses waste countless hours manually gathering online insights across platforms. Marketing and strategy teams need fast, structured visibility into what customers are saying and what competitors are promoting across regions and platforms. This workflow automates that process end-to-end by: Monitoring multiple platforms** (Facebook, Instagram, Google) across all selected regions. Extracting and cleaning live data* with precision and compliance through *Decodo’s advanced web intelligence engine**. Providing AI summaries:** It uses specialized AI agents to analyze the raw text and structure it into key insights. Delivering a clear, ready-to-read daily report** directly to your inbox — no dashboards, no manual effort. ⚙️ How to Configure It 1. Set Up the Decodo Connection In n8n, create a new Decodo Web Intelligence credential. Paste your Decodo authentication token (available in your Decodo dashboard under “Web Scraping API”). Setup Manual 2. Choose Your Regions and Topics Edit the “Set – Regions” node to list your markets Add your key search topics or terms 3. Review the AI-Generated Insights Decodo** fetches and cleans the latest content from social and web sources. Gemini-based AI agents summarize it into a structured report segmented by region and platform. The workflow emails the insights automatically, providing a quick morning market snapshot. ✨ Why It Works So Well Decodo provides the backbone — real-time, clean, and region-specific data — while AI transforms that data into business intelligence you can act on. If you need any help Get in Touch
by PDF Vector
Overview Researchers and academic institutions need efficient ways to process and analyze large volumes of research papers and academic documents, including scanned PDFs and image-based materials (JPG, PNG). Manual review of academic literature is time-consuming and makes it difficult to identify trends, track citations, and synthesize findings across multiple papers. This workflow automates the extraction and analysis of research papers and scanned documents using OCR technology, creating a searchable knowledge base of academic insights from both digital and image-based sources. What You Can Do Extract key information from research papers automatically, including methodologies, findings, and citations Build a searchable database of academic insights from both digital and image-based sources Track citations and identify research trends across multiple papers Synthesize findings from large volumes of academic literature efficiently Who It's For Research institutions, university libraries, R&D departments, academic researchers, literature review teams, and organizations tracking scientific developments in their field. The Problem It Solves Literature reviews require reading hundreds of papers to identify relevant findings and methodologies. This template automates the extraction of key information from research papers, including methodologies, findings, and citations. It builds a searchable database that helps researchers quickly find relevant studies and identify research gaps. Setup Instructions: Install the PDF Vector community node with academic features Configure PDF Vector API with academic search enabled Configure Google Drive credentials for document access Set up database for storing extracted research data Configure citation tracking preferences Set up automated paper ingestion from sources Configure summary generation parameters Key Features: Google Drive integration for research paper retrieval (PDFs, JPGs, PNGs) OCR processing for scanned documents and images Automatic extraction of paper metadata and structure from any format Methodology and findings summarization from PDFs and images Citation network analysis and metrics Multi-paper trend identification Searchable research database creation Integration with academic search engines Customization Options: Add field-specific extraction templates Configure automated paper discovery from arXiv, PubMed, etc. Implement citation alert systems Create research trend visualizations Add collaboration features for research teams Build API endpoints for research queries Integrate with reference management tools Implementation Details: The workflow uses PDF Vector's academic features to understand research paper structure and extract meaningful insights. It processes papers from various sources, identifies key contributions, and creates structured summaries. The system tracks citations to measure impact and identifies emerging research trends by analyzing multiple papers in a field. Note: This workflow uses the PDF Vector community node. Make sure to install it from the n8n community nodes collection before using this template.
by Ranjan Dailata
This workflow automates the discovery and structuring of FAQs from real AI search behavior using SE Ranking and OpenAI. It fetches domain-specific AI search prompts and answers, then extracts relevant questions, responses, and source links. Each question is enriched with AI-based intent classification and confidence scoring, and the final output is aggregated into a structured JSON format ready for SEO analysis, content planning, documentation, or knowledge base generation. Who this is for This workflow is designed for: SEO professionals and content strategists building FAQ-driven content Growth and digital marketing teams optimizing for AI Search and SERP intent Content writers and editors looking for data-backed FAQ ideas SEO automation engineers using n8n for research workflows Agencies producing scalable FAQ and topical authority content What problem this workflow is solving Modern SEO increasingly depends on AI search prompts, user intent, and FAQ coverage, but manually: Discovering real AI search questions Grouping questions by intent Identifying content gaps Structuring FAQs for SEO is slow, repetitive, and inconsistent. This workflow solves that by automatically extracting, classifying, and structuring AI-driven FAQ intelligence directly from SE Ranking’s AI Search data. What this workflow does This workflow automates end-to-end FAQ intelligence generation: Fetches real AI search prompts for a target domain using SE Ranking Extracts: Questions Answers Reference links Applies zero-shot AI classification using OpenAI GPT-4.1-mini Assigns: Intent category (HOW_TO, DEFINITION, PRICING, etc.) Confidence score Aggregates all data into a structured FAQ dataset Exports the final result as structured JSON for SEO, publishing, or automation Setup If you are new to SE Ranking, please signup on seranking.com Prerequisites n8n (Self-Hosted or Cloud)** SE Ranking API access** OpenAI API key (GPT-4.1-mini)** Configuration Steps Configure Credentials SE Ranking using HTTP Header Authentication. Please make sure to set the header authentication as below. The value should contain a Token followed by a space with the SE Ranking API Key. Add OpenAI API credentials Update Input Parameters In the Set the Input Fields node: Target domain Search engine type (AI mode) Region/source Include / exclude keyword filters Result limits and sorting Verify Output Destination Confirm the file path in the Write File to Disk node Or replace it with DB, CMS, or webhook output Execute Workflow Click Execute Workflow Structured FAQ intelligence is generated automatically How to customize this workflow You can easily adapt this workflow to your needs: Change Intent Taxonomy** Update categories in the AI zero-shot classifier schema Refine SEO Focus** Modify keyword include/exclude rules for niche targeting Adjust Confidence Thresholds** Filter low-confidence questions before export Swap Output Destination** Replace file export with: CMS publishing Notion Google Sheets Vector DB for RAG Automate Execution** Add a Cron node for weekly or monthly FAQ updates Summary This n8n workflow transforms AI search prompts into structured, intent-classified FAQ intelligence using SE Ranking and OpenAI GPT-4.1-mini. It enables teams to build high-impact SEO FAQs, content hubs, and AI-ready knowledge bases automatically, consistently, and at scale.
by IranServer.com
Automated Blog Content Generation from Google Trends to WordPress This n8n workflow automatically generates SEO-friendly blog content based on trending topics from Google Trends and publishes it to WordPress. Perfect for content creators, bloggers, and digital marketers who want to stay on top of trending topics with minimal manual effort. Who's it for Content creators** who need fresh, trending topic ideas Bloggers** looking to automate their content pipeline Digital marketers** wanting to capitalize on trending searches WordPress site owners** seeking automated content generation SEO professionals** who want to target trending keywords How it works The workflow operates on a scheduled basis (daily at 8:45 PM by default) and follows this process: Trend Discovery: Fetches the latest trending searches from Google Trends for a specific country (Iran by default) Content Research: Performs Google searches on the top 3 trending topics to gather detailed information AI Content Generation: Uses OpenAI's GPT-4o model to create SEO-friendly blog posts based on the trending topics and search results Structured Output: Ensures the generated content has proper title and content structure Auto-Publishing: Automatically creates draft posts in WordPress The AI is specifically prompted to create engaging, SEO-optimized content without revealing the automated sources, ensuring natural-sounding blog posts. How to set up Install required community node: n8n-nodes-serpapi for Google Trends and Search functionality Configure credentials: SerpApi: Sign up at serpapi.com and add your API key OpenAI: Add your OpenAI API key for GPT-4o access WordPress: Configure your WordPress site credentials Customize the country code: Change the "Country" field in the "Edit Fields" node (currently set to "IR" for Iran) Adjust the schedule: Modify the "Schedule Trigger" to run at your preferred time Test the workflow: Run it manually first to ensure all connections work properly Requirements SerpApi account** (for Google Trends and Search data) OpenAI API access** (for content generation using GPT-4o) WordPress site** with API access enabled How to customize the workflow Change target country**: Modify the country code in the "Edit Fields" node to target different regions Adjust content quantity**: Change the limit in the "Limit" node to process more or fewer trending topics Modify AI prompt**: Edit the prompt in the "Basic LLM Chain" node to change writing style or focus Schedule frequency**: Adjust the "Schedule Trigger" for different posting frequencies Content status**: Change from "draft" to "publish" in the WordPress node for immediate publishing Add content filtering**: Insert additional nodes to filter topics by category or keywords
by Lachlan
Who’s it for This workflow is for: People who want to quickly launch simple landing pages without paying monthly fees to landing page creators. It’s ideal for rapid prototyping, generation of large amounts of landing pages, testing campaign ideas, or generating quick web mockups with AI. People launching products that compete in some way with the complete landing page solutions, and want to get an understanding of the basic building blocks of landing page creators How it works / What it does Retrieves or creates session data from n8n Tables Generates a vivid scene description for the hero image using GPT Creates a custom AI-generated hero image (using Gemini Palm or your preferred model) Builds a responsive landing page layout with GPT-4o-mini Saves the generated HTML to an n8n data table Deploys the landing page to Vercel automatically Returns the public live URL of the generated site This workflow combines OpenAI, Google Gemini,Cloudinary, Vercel, and n8n Tables to create, store, and publish your webpage seamlessly from a single prompt. How to set up Create an n8n Table with the following columns: sessionID (text) html (long text) Add your credentials: OpenAI (for text and image generation) Geminoogle Gemini (PaLM) - through the Google Cloud Platform (for text and image generation) Cloudinary (for image upload) Vercel (for live deployment) Update the placeholders as noted inside the workflow: Cloudinary cloud name and upload preset OpenAI model and API key n8n table name and column mapping (sessionID, html) Vercel Header Auth token Run the workflow. After configuration, it will generate, upload, deploy, and return the live landing page URL automatically. Inline notes are included throughout the workflow indicating where you must update values such as credentials, table names, or API keys to make the flow work end to end. Requirements OpenAI API key Google Gemini API key Cloudinary account Vercel account n8n Table with sessionID and html columns How to customize the workflow Modify the OpenAI model or prompt to change the tone, layout, or visual style of the generated landing page. Replace Vercel deployment with your preferred hosting platform (e.g., Netlify or GitHub Pages) if desired. Add extra input fields (e.g., title, CTA, description) to collect richer context before generating the page. Add ability to integreat with databases to turn into a full loveable/Base44 competitor Result After setup, this workflow automatically converts any idea into a fully designed and live landing page within seconds. It generates the hero image, builds the HTML layout, deploys it to Vercel, and provides the final shareable URL instantly. Optional Cleanup Subflow An additional utility subflow is included to help keep your Vercel project clean by deleting older deployments. It preserves the two most recent deployments and deletes the rest. Use with caution — only run it if you want to remove previous test pages and free up space in your Vercel account.
by Cheng Siong Chin
How It Works Daily triggers automatically fetch fleet data and simulate key performance metrics for each vehicle. An AI agent analyzes maintenance requirements, detects potential issues, and routes alerts according to urgency levels. Fleet summaries are aggregated, logged into the database for historical tracking, and AI-enhanced insights are parsed to provide actionable information. Slack notifications are then sent to relevant teams, ensuring timely monitoring, informed decisions, and proactive fleet management. Setup Steps Configure daily triggers to automatically fetch, process, and update fleet data. Connect Slack, the database, and AI APIs to enable notifications and analytical processing. Set AI parameters and provide API keys for accessing the models and ensuring proper scoring. Configure PostgreSQL to log all fleet data, summaries, and alerts for historical tracking. Define Slack channels to receive real-time alerts, summaries, and actionable insights for the team. Prerequisites Slack workspace, database access, AI account (OpenRouter or compatible), fleet data source, n8n instance Use Cases Fleet monitoring, predictive maintenance, multi-vehicle management, cost optimization, emergency alerts, compliance tracking Customization Adjust AI parameters, alert thresholds, Slack message formatting, integrate alternative data sources, add email notifications, expand logging Benefits Prevent breakdowns, reduce manual monitoring, enable data-driven decisions, centralize alerts, scale across vehicles, AI-powered insights