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İndirebileceğin 3.557 hazır workflow dosyası, artı 10.661 kaynağa bağlı n8n referansı.
WMonitor Server Uptime & Get Email Alerts with Google Sheets
🌐 Web Server Monitor & Alert System This automation pings web servers at regular intervals, logs their status, and sends email alerts if a server goes down. It’s perfect for maintaining visibility over server uptime — without complex monitoring tools. 🧠 How It Works This workflow performs minute-by-minute checks on all listed servers in a Google Sheet and: ✅ Logs all reachable servers in an “Alive” log. 🔻 Sends an email alert if a server is unreachable. 📄 Logs failed servers in a “Down” sheet with timestamps. 🧩 Key Components ⏰ 1. Schedule Trigger Runs the workflow every minute for real-time monitoring. 📄 2. Web Servers List (Google Sheets) Pulls server IPs or hostnames from a Google Sheet named Server_List. Each row = one server to monitor. This makes adding/removing servers effortless — just update the sheet. 🌐 3. Servers Alive Check (HTTP Request) Performs an HTTP GET request to each server (e.g., http://your-server.com). If the request fails, it automatically triggers the error path (handled via continueOnFail). ✅ 4. Web Server Alive Log (Google Sheets) Records successful pings in Server_Status_Alive with: Timestamp Server IP Status = Alive This log can be used for uptim
SBuild an MCP Server with Airtable
Who is this for? This template is designed for anyone who wants to integrate MCP with their AI Agents using Airtable. Whether you're a developer, a data analyst, or an automation enthusiast, if you're looking to leverage the power of MCP and Airtable in your n8n workflows, this template is for you. What problem is this workflow solving? This template caters to MCP beginners seeking a hands-on example and developers looking to integrate Airtable MCP service. When integrating MCP with Airtable, manually updating AI Agents after changes to Airtable data on the MCP Server is time-consuming and error-prone. This template automates the process, enabling the AI Agent to instantly recognize changes made to Airtable on the MCP Server. In data management, for example, it ensures that record updates or additions in Airtable are automatically detected by the AI Agent. With detailed steps, it simplifies the integration process for all users. What this workflow does This workflow focuses on integrating MCP with Airtable within n8n. Specifically, it allows you to build an MCP Server and Client using Airtable nodes in n8n. Any changes made to the Airtable Base/Table on the MCP Server are automatic
Extract Specific Pages from PDFs with CustomJS API
This n8n template shows how to extract selected pages from a generated PDF with the PDF Toolkit by www.customjs.space. @custom-js/n8n-nodes-pdf-toolkit Notice Community nodes can only be installed on self-hosted instances of n8n. What this workflow does Downloads** each PDF using an HTTP Request. Extract** pages from the PDF file as needed. Requirements Self-hosted** n8n instance CustomJS API key** for extracting PDF files. PDF files to be merged** to be converted into a PDF Workflow Steps: Manual Trigger: Runs with user interaction. Download PDF File: Pass urls for PDF files to merge. Extract Pages from PDF: Extract selected pages from a generated PDF Usage Get API key from customJS Sign up to customJS platform. Navigate to your profile page Press "Show" button to get API key Set Credentials for CustomJS API on n8n Copy and paste your API key generated from CustomJS here. Design workflow A Manual Trigger for starting workflow. HTTP Request Nodes for downloading PDF files. Extract Pages from PDF. You can replace logic for triggering and returning results. For example, you can trigger this workflow by calling a webhook and get a result as a response from webhook. Simply replace Manu
Convert HTML to PDF & Extract Text from PDFs with CustomJS API
This n8n workflow illustrates how to convert PDF files into text with the PDF Toolkit from www.customjs.space. @custom-js/n8n-nodes-pdf-toolkit Notice Community nodes can only be installed on self-hosted instances of n8n. What this workflow does Change** the requested HTML to PDF.. Extract** text from the PDF. Use** a Code node to handle URLs that point to PDF files. Convert** the PDF to text. Requirements Self-hosted** n8n instance. CustomJS API key** for converting PDF to text. HTML** Data to convert PDF files. Code node** for handling URL that indicates PDF file. Workflow Steps: Manual Trigger: Runs with user interaction. HTML to PDF: Request HTML Data Convert HTML to PDF Convert PDF to Text: Convert the generated Text from PDF Usage Get API key from customJS Sign up to customJS platform. Navigate to your profile page Press "Show" button to get API key Set Credentials for CustomJS API on n8n Copy and paste your API key generated from CustomJS here. Design workflow A Manual Trigger for starting workflow. HTTP Request Nodes for downloading PDF files. Code node for handling URL that indicates PDF file. Convert PDF to Text. You can replace logic for triggering and returning results.
Convert HTML & PDF Files to PNG Images with CustomJS PDF Toolkit
This n8n workflow shows how to convert PDF files into PNG format with the PDF Toolkit from www.customjs.space. @custom-js/n8n-nodes-pdf-toolkit Notice Community nodes can only be installed on self-hosted instances of n8n. What this workflow does Generate** PDF file from the requested HTML. Convert** the PDF to PNG images. Use** a Code node to handle URLs that point to PDF files. Convert** the PDF to PNG format. Requirements Self-hosted** n8n instance. CustomJS API key** for converting PDF to PNG. HTML** Data to convert PDF files. Code node** for handling URL that indicates PDF file. Workflow Steps: Manual Trigger: Runs with user interaction. HTML to PDF: Request HTML Data. Convert HTML to PDF. Request PDF from Code. Convert PDF to PNG: Convert the generated PNG from PDF Usage Get API key from customJS Sign up to customJS platform. Navigate to your profile page Press "Show" button to get API key Set Credentials for CustomJS API on n8n Copy and paste your API key generated from CustomJS here. Design workflow A Manual Trigger for starting workflow. HTTP Request Nodes for downloading PDF files. Code node for handling URL that indicates PDF file. Convert PDF to PNG. You can replace logi
Convert HTML to PDF and Compress Files with CustomJS API
This n8n template demonstrates how to convert HTML into a PDF, compress the generated PDF, and return it as a binary response using the PDF Toolkit from www.customjs.space. Notice Community nodes can only be installed on self-hosted instances of n8n. @custom-js/n8n-nodes-pdf-toolkit What this workflow does Convert** the requested HTML to PDF. Compress** the PDF file. Use** a Code node to handle URLs pointing to PDF files if they exceed 6MB. Compress** the PDF pages. Requirements Self-hosted** n8n instance CustomJS API key** for compressing PDF files. HTML** Data to convert PDF files Code node** for handling URL that indicates PDF file. Workflow Steps: Manual Trigger: Runs with user interaction. HTML to PDF: Request HTML Data Convert HTML to PDF Request PDF from URL. Compress Pages from PDF: Compress PDF as a binary file. Usage Get API key from customJS Sign up to customJS platform. Navigate to your profile page Press "Show" button to get API key Set Credentials for CustomJS API on n8n Copy and paste your API key generated from CustomJS here. Design workflow A Manual Trigger for starting workflow. HTTP Request Nodes for downloading PDF files. Code node for handling URL that indicate
Automate Support Ticket Triage and Resolution with JIRA and AI
This n8n template automates triaging of newly opened support tickets and issue resolution via JIRA. If your organisation deals with a large number of support requests daily, automating triaging is a great use-case for introducing AI to your support teams. Extending the idea, we can also get AI to give a first attempt at resolving the issue intelligently. How it works A scheduled trigger picks up newly opened JIRA support tickets from the queue and discards any seen before. An AI agent analyses the open ticket to add labels, priority on the seriousness of the issue and simplifies the description for better readability and understanding for human support. Next, the agent attempts to address and resolve the issue by finding similar issues (by tags) which have been resolved. Each similar issue has its comments analysed and summarised to identify the actual resolution and facts. These summarises are then used as context for the AI agent to suggest a fix to the open ticket. How to use Simply connect your JIRA instance to the workflow and activate to start watching for open tickets. Depending on frequency, you may need to increase for decrease the intervals. Define labels to use in the ag
Store Chat Data in Supabase PostgreSQL for WhatsApp/Slack Chatbot
n8n Template: Store Chat Data in Supabase PostgreSQL for WhatsApp/Slack Integration This n8n template captures chat data (like user ID, name, or address) and saves it to a Supabase PostgreSQL database. It’s built for testing now but designed to work with WhatsApp, Slack, or similar platforms later, where chat inputs aren’t predefined. Guide with images can be found on: https://github.com/JimPresting/Supabase-n8n-Self-Hosted-Integration/ Step 1: Configure Firewall Rules in Your VPC Network To let your n8n instance talk to Supabase, add a firewall rule in your VPC network settings (e.g., Google Cloud, AWS, etc.). Go to VPC Network settings. Add a new firewall rule: Name: allow-postgres-outbound Direction: Egress (outbound traffic) Destination Filter: IPv4 ranges Destination IPv4 Ranges: 0.0.0.0/0 (allows all; restrict to Supabase IPs for security) Source Filter: Pick IPv4 ranges and add the n8n VM’s IP range, or Pick None if any VM can connect Protocols and Ports: Protocol: TCP Port: 5432 (default PostgreSQL port) Save the rule. Step 2: Get the Supabase Connection String Log into your Supabase Dashboard. Go to your project, click the Connect button in the header. Copy the PostgreSQL
Asynchronous Bulk Web Scraping with Bright Data & Webhook Notifications
Who this is for The Async Structured Bulk Data Extract with Bright Data Web Scraper workflow is designed for data engineers, market researchers, competitive intelligence teams, and automation developers who need to programmatically collect and structure high-volume data from the web using Bright Data's dataset and snapshot capabilities. This workflow is built for: Data Engineers - Building large-scale ETL pipelines from web sources Market Researchers - Collecting bulk data for analysis across competitors or products Growth Hackers & Analysts - Mining structured datasets for insights Automation Developers - Needing reliable snapshot-triggered scrapers Product Managers - Overseeing data-backed decision-making using live web information What problem is this workflow solving? Web scraping at scale often requires asynchronous operations, including waiting for data preparation and snapshots to complete. Manual handling of this process can lead to timeouts, errors, or inconsistencies in results. This workflow automates the entire process of submitting a scraping request, waiting for the snapshot, retrieving the data, and notifying downstream systems all in a structured, repeatable fashion
Automatically Upload Scanned Documents to Nextcloud via ScanservJS
This workflow connects a USB scanner to Nextcloud via ScanservJS and the integrated API. It checks for new scans at a scheduled time (e.g., every 5 minutes). If there are any, they are automatically retrieved via HTTP request and then saved to a desired Nextcloud folder. Ideal for home offices, offices, or maker projects with Raspberry Pi and network scanners. Nodes used: Schedule Trigger – starts the flow cyclically HTTP Request – retrieves document data from ScanservJS Nextcloud Node – uploads the file directly to your Nextcloud account Requirements: Local installation of ScanservJS (e.g., on a Raspberry Pi) Configured USB scanner Nextcloud access with write permissions in the target folder
AI Customer Support Assistant · WhatsApp Ready · Works for Any Business
AI Customer-Support Assistant that auto-maps any business site, answers WhatsApp in real time, and lets you earn or save thousands by replacing pricey SaaS chat tools. ⚡ What the workflow does Live “AI employee”* - the bot crawls pages on demand (products, policies, FAQs) so you *never** upload documents or fine-tune a model. No-code setup** - Drop in API keys, paste your domain, publish the webhook—ready in \~15 min. Chat memory** - each conversation turn is written to Supabase/Postgres and automatically replayed into the next prompt, letting the assistant remember context so follow-up questions feel natural and coherent even across long sessions. WhatsApp ready** - Free-form replies inside the 24-hour service window, automatically switches to a template when required (recommended by Meta). 🚀 Why you’ll love it | Benefit | Impact | | ------------------------- | --------------------------------------------------------------------- | | Zero content training | Point the AI Agent at any domain → go live. | | Save or earn money | Replace pricey SaaS chat tools or sell white-label bots to clients. | | Channel-agnostic | Ships with WhatsApp; swap one node for Telegram, Slack, or web cha
OpenAI ImageGen1 via HTTP Request (Edit Image)
Edit an existing image with OpenAI ImageGen1 via API Request Transform your creative pipeline by letting n8n call OpenAI ImageGen1’s edit image endpoint, automatically replacing or augmenting parts of any image you supply and returning a brand-new version in seconds. Designers, marketers, and product teams can eliminate repetitive manual edits and test more variations, faster. Who is this for? Content creators who need quick, on-brand image tweaks Marketers running A/B visual tests at scale Developers exploring the new ImageGen1 API inside low-code automations Use case / problem solved Opening design software to mask, fill, or swap objects is slow and error-prone. This workflow feeds an input image plus a prompt to OpenAI ImageGen1, receives the edited output, and passes it on to any service you like—perfect for bulk-editing product shots, social visuals, or UI mocks. What this workflow does Read or receive the source image (Webhook → Binary Data). Call OpenAI ImageGen1 with an HTTP Request node, sending the image and edit prompt. Parse the JSON response to capture the returned image URL. Download & hand off the edited file (e.g., upload to S3, post to Slack, or store in Drive). Se
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🚀 YouTube Comment Sentiment Analyzer with Google Sheets & OpenAI
🚀 YouTube Comment Sentiment Analyzer with Google Sheets & OpenAI Who Should Use This? Influencers, marketers, and data teams who need instant insights into audience sentiment—without manual exports or scattered tools. The Challenge Manual exports** from YouTube Studio Time-consuming** sentiment tagging Data scattered** across multiple platforms Our workflow automates everything: from fetching comments to logging analysis—so you can focus on insights, not spreadsheets. What You’ll Get Dynamic Input Read a list of YouTube URLs from your Google Sheet. Full Comment Harvest Pull all top-level comments (handles pagination 100/page). Deep Sentiment Scan Classify each comment as Positive, Neutral, or Negative using OpenAI. Smart Formatting Capture metadata (author, likes, timestamp) alongside sentiment. Seamless Storage Append or update rows in your Google Sheet—ready for reporting. Easy Setup Prepare Google Sheet Create a sheet with a video_urls column (full YouTube links). Add and authorize a Google Sheets Oauth or service-account credential in n8n. Enable YouTube API Activate Data API v3 in Google Cloud, grab an API key, and save as an HTTP credential in n8n. Configure OpenAI Enter you
WGoogle Trend Data Extract & Summarization with Bright Data & Google Gemini
Who this is for The Google Trend Data Extract & Summarization workflow is ideal for trend researchers, digital marketers, content strategists, and AI developers who want to automate the extraction, summarization, and distribution of Google Trends data. This end-to-end solution helps transform trend signals into human-readable insights and delivers them across multiple channels. It is built for: Market Researchers** - Tracking trends by topic or region Content Strategists** - Identifying content opportunities from trending data SEO Analysts** - Monitoring search volume and shifts in keyword popularity Growth Hackers** - Reacting quickly to real-time search behavior AI & Automation Engineers** - Creating automated trend monitoring systems What problem is this workflow solving? Google Trends data can provide rich insights into user interests, but the raw data is not always structured or easily interpretable at scale. Manually extracting, cleaning, and summarizing trends from multiple regions or categories is time-consuming. This workflow solves the following problems: Automates the conversion of markdown or scraped HTML into clean textual input Transforms unstructured data into struct
Structured Data Extract & Data Mining with Bright Data & Google Gemini
Who this is for? The Structured Data Extract & Data Mining workflow is crafted for researchers, content analysts, SEO strategists, and AI developers who need to transform semi-structured web data (like markdown content or scraped HTML) into actionable structured datasets. It is ideal for: Content Analysts** - Organizing and mining large volumes of markdown or HTML content. SEO & Trend Researchers** - Exploring topics by location and category. AI Engineers & NLP Developers** - Looking to automate insight extraction from unstructured inputs. Growth Marketers** - Tracking topic-level trends for strategic campaigns. Automation Specialists** - Streamlining workflows from scrape to storage. What problem is this workflow solving? Extracting insights from markdown or HTML documents typically requires manual review, formatting, and parsing. This becomes unscalable when dealing with large datasets or when real-time response is needed. Additionally, trend and topic extraction usually involves external tools, custom scripts, and inconsistent formatting. This workflow solves: Automatic text extraction from markdown or structured content. Location and category-based trend mining with semantic gr
Automate Etsy Data Mining with Bright Data Scrape & Google Gemini
Who this is for? The Automate Etsy Data Mining with Bright Data Scrape & Google Gemini workflow is designed for eCommerce analysts, product researchers, and AI developers seeking to extract actionable insights from Etsy listings at scale. It is ideal for: eCommerce Entrepreneurs** - Researching product demand and competition. Market Analysts** - Tracking pricing, reviews, and trends across Etsy categories. Product Managers** - Identifying niche opportunities and design inspirations. Data Scientists & AI Engineers** - Automating product intelligence pipelines. Growth Hackers** - Leveraging Etsy insights to refine product-market fit. What problem is this workflow solving? Manually browsing Etsy to analyze product listings, pricing, reviews, and seller activity is slow, inconsistent, and unscalable. Scraping Etsy requires unlocking JavaScript-heavy content and structuring noisy data for analysis. This workflow solves: Automated and scalable scraping of Etsy product listings using Bright Data’s infrastructure. A fully paginated data structured Estry production data extraction via the Google Gemini LLM. Enables faster decision-making for product research and competitive analysis via the
Extract Business Leads from Reddit using GPT-4.1-mini Analysis and Google Sheets
This n8n workflow automates lead generation by searching Reddit for relevant posts based on keywords, filtering them, using OpenRouter AI to analyze and summarize content, and logging the findings (link, summary, etc.) to Google Sheets. Watch the full setup tutorial on how I setup this ETL pipeline using n8n: https://youtu.be/F3-fbU3UmYQ Required Authentication: To run this workflow, you need to set up credentials in n8n for: Reddit: Uses OAuth 2.0. Requires creating an app on Reddit to get a Client ID & Secret. (YT Tutorial for Reddit App Creation: https://youtu.be/zlGXtW4LAK8) OpenRouter: Uses an API Key. Generate this key directly from your OpenRouter account settings. (YT Tutorial : https://youtu.be/Cq5Y3zpEhlc) Google Sheets: Uses OAuth 2.0. Requires setup in Google Cloud Console (enable Sheets API, create OAuth Client ID with n8n redirect URI) to get a Client ID & Secret. Ensure these credentials are created and selected in the respective n8n nodes (Get Posts, OpenRouter Chat Model nodes, Output The Results).
Build a Document QA System with RAG using Milvus, Cohere, and OpenAI for Google Drive
Template Description This template creates a powerful Retrieval Augmented Generation (RAG) AI agent workflow in n8n. It monitors a specified Google Drive folder for new PDF files, extracts their content, generates vector embeddings using Cohere, and stores these embeddings in a Milvus vector database. Subsequently, it enables a RAG agent that can retrieve relevant information from the Milvus database based on user queries and generate responses using OpenAI, enhanced by the retrieved context. Functionality The workflow automates the process of ingesting documents into a vector database for use with a RAG system. Watch New Files: Triggers when a new file (specifically targeting PDFs) is added to a designated Google Drive folder. Download New: Downloads the newly added file from Google Drive. Extract from File: Extracts text content from the downloaded PDF file. Default Data Loader / Set Chunks: Processes the extracted text, splitting it into manageable chunks for embedding. Embeddings Cohere: Generates vector embeddings for each text chunk using the Cohere API. Insert into Milvus: Inserts the generated vector embeddings and associated metadata into a Milvus vector database. When cha
Extract & Analyze Brand Content with Bright Data and Google Gemini
Who this is for? The Brand Content Extract, Summarization & Sentiment Analysis workflow is designed for professionals and teams who need to monitor, understand, and act on public brand perception at scale. It is ideal for: Brand Managers - Looking to track how their brand is portrayed online. Marketing Analysts - Seeking insights from competitor and industry content. PR & Communications Teams - Evaluating media tone and potential reputation risks. Data Scientists & AI Developers - Automating content intelligence pipelines. Growth Hackers - Performing large-scale web listening for campaign optimization. What problem is this workflow solving? Manually tracking and interpreting how your brand is mentioned across blogs, news sites, or product reviews is labor-intensive and unscalable. Traditional scraping tools return raw data but lack insights like summarization, sentiment analysis etc. This workflow addresses: Scalable extraction of brand-related content using Bright Data's infrastructure. Textual data extract for easy decision-making or alerting. Automated summarization of verbose or multi-paragraph articles using Gemini. Sentiment analysis of how a brand is being portrayed. What th
Automated AI Content Creation & Instagram Publishing from Google Sheets
Automated AI Content Creation & Instagram Publishing from Google Sheets This n8n workflow automates the creation and publishing of social media content directly to Instagram, using ideas stored in a Google Sheet. It leverages AI (Google Gemini and Replicate Flux) to generate concepts, image prompts, captions, and the final image, turning your content plan into reality with minimal manual intervention. Think of this as the execution engine for your content strategy. It assumes you have a separate process (whether manual entry, another workflow, or a different tool) for populating the Google Sheet with initial post ideas (including Topic, Audience, Voice, and Platform). This workflow takes those ideas and handles the rest, from AI generation to final publication. What does this workflow do? This workflow streamlines the content execution process by: Automatically fetching** unprocessed content ideas from a designated Google Sheet based on a schedule. Using Google Gemini to generate a platform-specific content concept (specifically for a 'Single Image' format). Generating two distinct AI image prompt options based on the concept using Gemini. Writing an engaging, platform-tailored cap
Automated Resume Screening & Ranking with Llama 4 AI and Google Workspace
Target Audience You will find this workflow or template perfect if you are in the internal talent acquisition teams, recruitment agencies, HR professionals, and hiring managers seeking to bulk automate the initial screening of CVs and resumes. Eg. Automatically get result of candidate who has been shortlisted/rejected with its rationale and score automatically. By eliminating manual evaluation and screening, you get smart AI-Agent helping you to have standardized efficient, and scalable solution for handling large volumes of applications. With bulk automation, you can focus strategic decision-making rather than tedious screening tasks, ensuring a faster, more accurate, and fair hiring process. Key focus This workflow focusses on having a more organized file-folder management, trackable candidate cv, maintainable job description, autonomous ai-agent. Organized Folder-File Structure – CVs are automatically categorized based on their status, ensuring a structured workflow and easy retrieval Candidate Tracker – A real-time tracking system records the state of each CV, allowing recruiters to monitor the shortlisted, rejected, or KIV (Keep in View) candidates. AI Agent for Decision Autom
Google Autocomplete Keyword Scraper
Who is this template for? This workflow template is built for SEO specialists and digital marketers looking to uncover keyword opportunities effortlessly. It uses Google's autocomplete magic to help you spot what's trending. How it works Just give it a keyword. The workflow then queries Google and collects all autocomplete suggestions by appending every letter from A to Z to your keyword. Output example with the keyword "n8n" : You can sort these keywords and give them to an LLM to produce entity-enriched text. Setup instructions It works right out of the box. 🛠️ However, you may want to tweak the output format to better fit your use case. Exporting the Keywords You can easily add a node to export the keywords in various ways: via a webhook by email as a file (e.g., saved to Google Drive) directly to a website Adapting the Language Autocomplete results depend on the selected language. You can change the &hl=en parameter in the Google Autocomplete node. Replace the "en" part with the language code of your choice. Examples: &hl=fr → French &hl=es → Spanish &hl=de → German
WDiscover & Enrich Decision-Makers with Apollo and Human Verification
🧩 What This Workflow Does This workflow automates the process of identifying and enriching decision-maker contacts from a list of companies. By integrating with Apollo's APIs and Google Sheets, it streamlines lead generation, ensures data accuracy through human verification, and maintains an organized leads database. 📚 Use Case Ideal for sales and marketing teams aiming to: Automate the discovery of key decision-makers (e.g., CEOs, CTOs). Enrich contact information with LinkedIn profiles, emails, and phone numbers. Maintain an up-to-date leads database with minimal manual intervention. Receive weekly summaries of newly verified leads. 🧪 Setup 1. Google Sheets Preparation: Use the following pre-configured Google Sheet: Company Decision Maker Discovery Sheet. This spreadsheet includes the necessary tabs and columns: Companies, Contacts, and Contacts (Verified). It also contains a custom onEdit Apps Script function that automatically updates the Status column to Pending whenever the Domain field is modified. To review or modify the script, navigate to Extensions > Apps Script within the Google Sheet. 2. Credentials Setup: Configure the following credentials in your n8n instance:
SAI Agent Web Search using SearchAPI & LLM
🤖 AI Agent Web Search using SearchApi & LLM Who is this for? This workflow is ideal for anyone conducting online research, including students, researchers, content creators, and professionals looking for accurate, up-to-date, and verifiable information. It also serves as an excellent foundation for building more sophisticated AI-driven applications. What problem does this workflow solve? / Use case This workflow automates web searches by enabling an AI agent to efficiently retrieve and summarize external, verifiable information, ensuring accuracy through source citations. What this workflow does Connects an AI agent node to SearchApi.io as an integrated search tool. Empowers the AI agent to perform real-time web searches using various SearchApi engines (e.g., Google, Bing). Allows the AI agent to dynamically determine search parameters based on user interaction, delivering contextually relevant results. Ensures responses include clearly cited sources for validation and further exploration. Setup Install the SearchApi community node: Open Settings → Community Nodes inside your self‑hosted n8n instance. Fill npm Package Name with @searchapi/n8n-nodes-searchapi. Accept the risk promp