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Engineering n8n Workflows

n8n Engineering workflow templates and automation recipes2947 free workflow templates ready to import.

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Summarize YouTube Videos into Structured Content Ideas with AI and Airtable

Extract the main idea and key takeaways from YouTube videos and turn them into Airtable content ideas 📝 Description Automatically turn YouTube videos into clear, structured content ideas stored in Airtable. This workflow pulls new video links from Airtable, extracts transcripts using a RapidAPI service, summarizes them with your favourite LLM, and logs the main idea and key takeaways—keeping your content pipeline fresh with minimal effort. ⚙️ What It Does Scans Airtable for new YouTube video l

10個のノード· 👁 1,291airtablecodehttprequest

作成者:Batu Öztürk

high

Create Character-Consistent Images with FLUX Kontext & Post to Social via Upload Post

Create, iterate, and share! Transform a single image through multiple scenes while maintaining consistency. ✨ What this workflow does This template showcases FLUX.1 Kontext - Black Forest Labs' in-context image generation model that excels at maintaining character features across multiple transformations. Combined with the Upload Post community node for effortless multi-platform social media posting, you can create and share compelling visual stories instantly. The workflow demonstrates FLUX

18個のノード· 👁 1,279executeworkflowexecuteworkflowtriggerextractfromfile

作成者:Eduard

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Preconfigured nodes for Systeme.io API requests

Using the Systeme API can be challenging due to its pagination settings and low rate limit. This requires a bit more knowledge about API requests than a beginner might have. This template provides preconfigured HTTP Request nodes to help you work more efficiently. Pagination settings, item limits, and rate limits are all configured for you, making it easier to get started. How to configure Systeme.io credentials The Systeme API uses the Header Auth method. So create a Header Auth credential in

7個のノード· 👁 1,270httprequestsplitout

作成者:Solomon

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Create a Branded AI Chatbot for Websites with Flowise Multi-Agent Chatflows

This workflow integrates Flowise Multi-Agent Chatflows into a custom-branded n8n chatbot, enabling real-time interaction between users and AI agents powered by large language models (LLMs). Key Advantages: ✅ Easy Integration with Flowise: Uses a low-code HTTP node to send user questions to Flowise's API (/api/v1/prediction/FLOWISE_ID) and receive intelligent responses. Supports multi-agent chatflows, allowing for complex, dynamic interactions. 🎨 Customizable Chatbot UI: Includes pre-built J

3個のノード· 👁 1,267chattriggerhttprequestset

作成者:Davide Boizza

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Public Webhook Relay

Disclaimer This template only works on n8n local instances! How it Works This workflow allows you to to receive webhooks from the public web and have your local workflow catch them, without any remote proxy. It is very useful for running quick tests without exposing your dev server. All you have to do is activate the workflow and use the public address as defined below. Set up steps If you use the default key-value storage, there are only three steps: Install the @horka.tv/n8n-nodes-storage-kv

13個のノード· 👁 1,266@horka.tv/n8n-nodes-storage-kv.keyvaluestoragecodehttprequest

作成者:Jay Hartley

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🎥 Gemini AI Video Analysis

📝 Overview This workflow leverages Google Gemini 2.0 Flash multimodal AI to automatically generate detailed descriptions of video content from any public URL. It streamlines video understanding, making it ideal for content cataloging, accessibility, and content moderation. 💡 Use Cases ♿ Accessibility: Automatically generate detailed video descriptions for visually impaired users. 🛡️ Content Moderation: Detect inappropriate or off-brand material without manual watching. 🗂️ Media Cataloging: En

7個のノード· 👁 1,264httprequestmanualtriggerset

作成者:SamirLiu

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Get Real-Time Security Insights with NixGuard RAG and Wazuh Integration

Effortlessly integrate NixGuard API into your n8n workflows for real-time security insights using your API key. This connector enables seamless interaction with Nix, providing rapid Retrieval-Augmented Generation (RAG) event knowledge with Wazuh integration - completely free and set up in under 5 minutes! 🚀 Features: ✅ Query NixGuard's AI-driven security insights via API authentication ✅ Real-time security event knowledge integration ✅ Plug-and-play workflow trigger for effortless automation ✅

10個のノード· 👁 1,247aggregatechattriggercode

作成者:Jonathan | NEX

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Restore your workflows from GitHub

This workflow restores all n8n instance workflows from GitHub backups using the n8n API node. It complements the Backup Your Workflows to GitHub template by allowing users to seamlessly restore previously saved workflows. How It Works The workflow fetches workflows stored in a GitHub repository and imports them into your n8n instance. Setup Instructions To configure the workflow, update the Globals node with the following values: repo.owner** – Your GitHub username repo.name** – The name of

7個のノード· 👁 1,240extractfromfilegithubhttprequest

作成者:bangank36

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Generate & Edit Images with OpenAI GPT-Image-1 and Share via Telegram

AI Image Generator & Editor with GPT-4 Vision - Complete Workflow Template Description Transform text prompts into stunning images or edit existing visuals using OpenAI's latest GPT-4 Vision model through an intuitive web form interface. This comprehensive n8n automation provides three powerful image generation modes: 🎨 Text-to-Image Generation Simply enter a descriptive prompt and generate high-quality images from scratch using OpenAI's gpt-image-1 model. Perfect for creating original artwo

14個のノード· 👁 1,238converttofileformtriggergoogledrive

作成者:Alexey from Mingles.ai

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Reduce LLM Costs with Semantic Caching using Redis Vector Store and HuggingFace

Stop Paying for the Same Answer Twice Your LLM is answering the same questions over and over. "What's the weather?" "How's the weather today?" "Tell me about the weather." Same answer, three API calls, triple the cost. This workflow fixes that. What Does It Do? Semantic caching with superpowers. When someone asks a question, it checks if you've answered something similar before. Not exact matches—semantic similarity. If it finds a match, boom, instant cached response. No LLM call, no cost, n

19個のノード· 👁 1,229agentchatchattrigger

作成者:Tihomir Mateev

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🔄 Workflow Repos8r: Github Version Control User Interface for n8n Workflows

🔥 n8n Members Sale – n8n Community Members Get ideoGener8r for Just $10! (Reg. $15) Use Coupon Code: FeelinTheFlowgramming (Valid for n8n community members) 💪 How it works Seamlessly track, manage, and version-control your n8n workflows with an intuitive Git-style system. Whether you're making updates or creating new workflows, this tool ensures structured commits, detailed change tracking, and seamless GitHub integration—all within a Matrix-inspired UI. 🎯 Who is this for? Perfect for: n8n D

32個のノード· 👁 1,226aggregatecodeextractfromfile

作成者:RealSimple Solutions

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Replicate Line Items on New Deal in HubSpot and notify with Slack

Replicate Line Items on New Deal in HubSpot Workflow Use Case This workflow solves the problem of manually copying line items from one deal to another in HubSpot, reducing manual work and minimizing errors. What this workflow does Triggers** upon receiving a webhook with deal IDs. Retrieves** the IDs of the won and created deals. Fetches** line items associated with the won deal. Extracts** product SKUs from the retrieved line items. Fetches** product details based on SKUs. Creates** new line

7個のノード· 👁 1,225httprequestsetslack

作成者:Arnaud MARIE

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Extract Domain and verify email syntax on the go

What problem is this workflow solving? This workflow is aimed for email marketing enthusiasts looking for an easy way to either extract the domain from an email ad also check if the syntax is correct without having to use the code node. How this works For this to work, replace the debugger node with your actual data source. Map your data at match the above layout Run your workflow and check for all the emails that are either valid or not Once done, you will have a list of all your emails,

3個のノード· 👁 1,222debughelpermanualtriggerset

作成者:Zacharia Kimotho

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Google Search Console and Analytics Analysis with AI Optimizations

What Is This? This workflow is a comprehensive solution for automating website audits and optimizations, leveraging advanced technologies to boost SEO effectiveness and overall site performance. Who Is It For? Designed for SEO specialists, digital marketers, webmasters, and content teams, this workflow empowers anyone responsible for website performance to automate and scale their audit processes. Agencies managing multiple client sites, in-house SEO teams aiming to save time on routine check

23個のノード· 👁 1,219agentemailsendgoogleanalytics

作成者:Łukasz

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Auto-Generate and Post Social Media Content to Bluesky using Groq LLM

Automatically Generate Content and Post to Bluesky with LLM Workflow Unlock the power of automation with the Automatically Generate Content and Post to Bluesky with LLM Workflow, an n8n-powered solution that uses Large Language Model (LLM) APIs to create engaging content and seamlessly posts it to Bluesky. Say goodbye to manual content creation and posting—streamline your social media presence in minutes! How It Works This workflow harnesses an LLM API (like Openai or your preferred model) to

15個のノード· 👁 1,216chainllmcodehttprequest

作成者:Mehdi

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Create a new DigitalOcean Droplet

Uses a DigitalOcean Personal Access Token to create a new Droplet. Add your personal access token and change the parameters to create droplets of different sizes. You can also specify more options; refer the API docs

1個のノード· 👁 1,207httprequest

作成者:amudhan

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Batch Process Prompts with Anthropic Claude API

This workflow template provides a robust solution for efficiently sending multiple prompts to Anthropic's Claude models in a single batch request and retrieving the results. It leverages the Anthropic Batch API endpoint (/v1/messages/batches) for optimized processing and outputs each result as a separate item. Core Functionality & Example Usage Included This template includes: The Core Batch Processing Workflow: Designed to be called by another n8n workflow. An Example Usage Workflow: A separa

27個のノード· 👁 1,201aggregatecodeexecuteworkflow

作成者:Greg Evseev

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Custom Deal Recommendations by Email using Forms, Bright Data & GPT-4o-mini

This n8n workflow template automates the process of collecting and delivering the "Top Deals of the Day" from MediaMarkt, tailored to user preferences. By combining user-submitted forms, Bright Data web scraping, GPT-4o-mini deal generation, and email delivery, this workflow sends personalized product recommendations straight to a user’s inbox. > ⚠️ Note: This workflow uses community nodes (Bright Data and Document Generator) which only work on *self-hosted n8n instances*. 🚀 What It Does C

8個のノード· 👁 1,201emailsendformformtrigger

作成者:Miquel Colomer

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Compare Different LLM Responses Side-by-Side with Google Sheets

This workflow allows you to easily evaluate and compare the outputs of two language models (LLMs) before choosing one for production. In the chat interface, both model outputs are shown side by side. Their responses are also logged into a Google Sheet, where they can be evaluated manually or automatically using a more advanced model. Use Case You're developing an AI agent, and since LLMs are non-deterministic, you want to determine which one performs best for your specific use case. This templ

14個のノード· 👁 1,197agentaggregatechattrigger

作成者:Dataki

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Create an event in PostHog when a request is made to a webhook URL

This workflow automatically creates an event in PostHog when a request is made to a webhook URL. Prerequisites A PostHog account and credentials Nodes Webhook node triggers the workflow when a URL is accessed. PostHog node creates a new event in PostHog.

2個のノード· 👁 1,194posthogwebhook

作成者:Harshil Agrawal

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Pattern for Multiple Triggers Combined to Continue Workflow

Overview This template describes a possible approach to handle a pseudo-callback/trigger from an independent, external process (initiated from a workflow) and combine the received input with the workflow execution that is already in progress. This requires the external system to pass through some context information (resumeUrl), but allows the "primary" workflow execution to continue with BOTH its own (previous-node) context, AND the input received in the "secondary" trigger/process. Primary

13個のノード· 👁 1,190httprequestmanualtriggerrespondtowebhook

作成者:Hubschrauber

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Extract Information from a Logo Sheet using forms, AI, Google Sheet and Airtable

Instructions This automation enables you to just upload any Image (via Form) of a Logo Sheet, containing multiple Images of Product Logos (most likely) which brings them in some context to one another. After submitting an AI-Agent eats that Logo Sheet, turning it into an List of "Productname" and "Attributes", also checks if Tools are kind of similar to another, given the Context of the Image. We utilize AI Vision capabilities for that. NOTE: It might not be able to extract all informations.

33個のノード· 👁 1,186agentairtablecode

作成者:Marcel Claus-Ahrens

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🏛️ Daily US Congress Members Stock Trades Report via Firecrawl + OpenAI + Gmail

📬 What This Workflow Does This workflow automatically scrapes recent high-value congressional stock trades from Quiver Quantitative, summarizes the key transactions, and delivers a neatly formatted report to your inbox — every single day. It combines Firecrawl's powerful content extraction, OpenAI's GPT formatting, and n8n's automation engine to turn raw HTML data into a digestible, human-readable email. Watch Full Tutorial on how to build this workflow here: https://www.youtube.com/watch?v=HC

10個のノード· 👁 1,178codegmailhttprequest

作成者:Automate With Marc

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Summarize Umami data with AI (via Openrouter) and save it to Baserow

Who's this for? Anyone who wants to improve the SEO of their website Umami users who want insights on how to improve their site SEO managers who need to generate reports weekly Case study Watch youtube tutorial here Get my SEO A.I. agent system here How it works This workflow calls the Umami API to get data Then it sends the data to A.I. for analysis It saves the data and analysis to Baserow How to use this Input your Umami credentials Input your website property ID Input your Openrouter.a

11個のノード· 👁 1,176baserowcodehttprequest

作成者:Keith Rumjahn