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Engineering n8n Workflows

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

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Daily Competitor Tweet Summarizer with X API, GPT-5-Nano, and Gmail Delivery

Automated Daily Competitor Tweet Summarizer with X API, GPT-5-Nano, and Gmail Stay on top of your competition with this powerful n8n workflow that automatically fetches and summarizes your competitors’ latest tweets every day. Using the official X (formerly Twitter) API and OpenAI's GPT-5-Nano model, this template extracts insights from public tweets and sends concise summaries directly to your Gmail inbox. Ideal for marketing teams, product managers, PR professionals, and competitive intellig

5 nodos· 👁 2gmailhttprequestopenai

por ScoutNow

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Convert Revit Projects to Database with Drawings & Specifications using DDC

Turn a .rvt project into open, analysis-ready data (XLSX + optional DAE/PDF) using the RvtExporter.exe from the DDC Revit toolkit. This n8n template provides a Form UI to set paths and flags, then runs the exporter with safe defaults. Converts CAD/BIM files with customizable export modes (basic: 309 categories, standard: 724 categories, complete: all 1209 categories) and optional outputs like bounding box, Revit schedules, or PDF drawings. What it does Launches RvtExporter.exe with your chosen

4 nodos· 👁 2executecommandformtriggermanualtrigger

por Artem Boiko

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Learn n8n Interactively, Lesson 1: Data Flow, Execution & Debugging

Learn n8n: Interactive Lesson 1 This interactive tutorial teaches you how to build in n8n from scratch, using a live walkthrough with real-time examples. Rather than static documentation, this guided workflow explains key n8n concepts while you execute each step. It is ideal for developers new to n8n but experienced with programming, JSON, and APIs. Requirements An active n8n instance (cloud or self-hosted) Basic programming experience (JavaScript or TypeScript, JSON, and APIs) Web browser wit

53 nodos· 👁 2aggregatecodeform

por Wyeth

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Extract and Translate TikTok Video Transcripts with OpenAI GPT-4 to Google Docs

TikTok Transcript to OpenAI GPT-4 This automation workflow provides a seamless, efficient, and AI-powered solution for extracting, processing, and storing TikTok video subtitles. By combining TikTok Transcript API, OpenAI GPT-4 API, and Google Docs, this workflow transforms the process of transcription and text analysis into a smooth, automated experience. It's perfect for content creators, marketers, and businesses who need to process large volumes of TikTok videos and want to leverage AI for

5 nodos· 👁 2formtriggergoogledocshttprequest

por Sk developer

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TechCrunch AI Article Scraper & Classifier with GPT-4.1-nano to Sheets & Telegram

How it works This workflow scrapes the latest Artificial Intelligence articles from TechCrunch, then processes and classifies the content using OpenAI and LangChain nodes. The final result is saved to Google Sheets and sent as a summary to a Telegram group. Workflow Logic: Trigger: Schedules daily at 6AM Bangkok time. Scraper: Extracts URLs and publish dates from TechCrunch's AI category. Filter: Only continues if the article is from yesterday (to avoid duplication). Content Fetch: Downloads

17 nodos· 👁 2agentcodegooglesheets

por Mujahid Kabae

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Automatic Typebot Flows Two-Way Sync with GitHub using Typebot API

Remixed Backup your workflows to GitHub from Solomon's work. Check out his templates. How it works This workflow will backup your typebots to GitHub. It uses the Typebot API to export all typebots. It then loops over the data, checks in GitHub to see if a file exists that uses the credential's ID. Once checked it will: update the file on GitHub if it exists; create a new file if it doesn't exist; ignore if it's the same. In addition, it also checks if any flow have been deleted from typebot

27 nodos· 👁 2codeexecuteworkflowexecuteworkflowtrigger

por Marcial Ambriz

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Automated n8n Workflow Backup to GitHub with Deletion Tracking

Remixed Backup your workflows to GitHub from Solomon's work. Check out his templates. How it works This workflow will backup your workflows to GitHub. It uses the n8n API node to export all workflows. It then loops over the data, checks in GitHub to see if a file exists that uses the credential's ID. Once checked it will: update the file on GitHub if it exists; create a new file if it doesn't exist; ignore if it's the same. In addition, it also checks if any workflows have been deleted from

27 nodos· 👁 2aggregatecodeexecuteworkflow

por Marcial Ambriz

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Automated Meeting Attendee Enrichment with Apollo.io and Google Sheets

Meeting Prep: Automated Meeting Attendee Enrichment Overview This workflow automates the process of gathering critical information about your meeting attendees right after they book a meeting. Whether they book through Calendly or Cal.com, this workflow extracts key details, uses Apollo.io to enrich their profiles with company and contact data, and logs everything into a Google Sheet for easy access. This ensures you're always prepared with relevant insights before every meeting. Use Case This

11 nodos· 👁 2calendlytriggercaltriggercode

por Gain FLow AI

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Automate Hotel Rate Tracking: Scrape.do & Google Sheets Sync

Stop manual price checks and gain a competitive edge with this enterprise-grade hotel market intelligence automation. Designed for travel agencies and hospitality managers, this n8n workflow leverages the Scrape.do API to bypass anti-scraping measures on major platforms like Expedia and Booking.com. The automation begins with a custom Form Trigger where you input your target properties. It then concurrently fetches live pricing data, uses JavaScript-based Code nodes to clean and normalize currency formats, and merges the disparate data streams into a unified dataset. The final output is synced directly to Google Sheets and delivered via Gmail, providing a real-time dashboard for price parity monitoring. By automating the data collection phase, businesses can save dozens of manual labor hours weekly and respond instantly to market fluctuations or competitor promotions. This self-hosted solution ensures data privacy while providing the scalability needed to monitor hundreds of listings across multiple geographic regions effortlessly. **Common Use Cases:** - Competitive Market Intelligence for Boutique Hotels - Dynamic Pricing Adjustments for Travel Agencies - Corporate Travel Budget Optimization and Monitoring

11 nodos· 👁 1codeformtriggergmail

por Onur

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AI Reddit Social Listening & Notion Lead Tracker (n8n)

Stop manual scrolling and start scaling your market intelligence with this advanced n8n automation. This workflow transforms Reddit into a structured data source by scanning specific subreddits or global feeds for high-intent keywords. Unlike basic scrapers, it leverages OpenAI to perform sentiment analysis and extract actionable insights from every post, ensuring you only focus on high-value conversations. The flow begins with a scheduled trigger that queries the Reddit API via HTTP requests. Once data is fetched, custom JavaScript nodes clean and normalize the content before passing it to GPT-4o-mini for intelligent summarization. These enriched insights are then automatically synced to a centralized Notion database, creating a permanent repository of market trends and customer pain points. Finally, the workflow aggregates the day’s findings into a professional Gmail digest, keeping your team informed without the noise of social media. This is an essential tool for product managers and growth hackers who need to monitor brand reputation or identify sales opportunities in real-time without manual overhead. **Common Use Cases:** - Automated Brand Reputation Monitoring & Sentiment Analysis - High-Intent Lead Generation for SaaS and Service Agencies - Competitive Intelligence & Product Feedback Aggregation

17 nodos· 👁 1aggregatecodefilter

por ScoutNow

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Automated Crypto & Stock Market Intelligence Feed with n8n

Stop manually monitoring dozens of financial news tabs and gain a competitive edge with this sophisticated market intelligence engine. This n8n workflow automates the real-time aggregation of high-signal data from premium sources including CoinDesk, CoinTelegraph, Google News, and X (Twitter). Unlike basic RSS readers, this automation features a robust normalization layer that standardizes disparate data points into a unified schema—capturing essential metadata such as source origin, media attachments, and precise timestamps. The technical logic employs advanced keyword filtering and topic-specific sorting via Code nodes to eliminate market noise, ensuring you only receive alerts for the assets that matter to your portfolio. By leveraging Schedule Triggers and intelligent merging logic, the workflow systematically deduplicates headlines and prepares them for downstream delivery to webhooks or databases. This is an essential tool for hedge fund analysts, fintech developers, or serious day traders who need to transform raw news into actionable data pipelines without the overhead of expensive enterprise terminals. **Common Use Cases:** - Sentiment Analysis Pipeline for Algorithmic Trading - Real-time Stakeholder Alerts for Financial Advisory Firms - Automated Content Curation for Fintech News Portals

34 nodos· 👁 1codehttprequestif

por Mohammad Abubakar

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Automate Instagram Image-to-Text Extraction with n8n & OCR

Stop wasting hours manually transcribing data from social media. This advanced n8n workflow provides a robust solution for automated optical character recognition (OCR) directly from Instagram. By integrating HikerAPI for seamless media retrieval and OCR.Space for high-accuracy text conversion, this automation handles both single-image posts and complex multi-slide carousels with ease. The process begins by fetching the raw media metadata from a provided URL. The workflow then intelligently loops through each slide, identifies image assets, and sends them to the OCR engine to digitize embedded text. Whether you are tracking competitor promotional codes, archiving influencer testimonials, or gathering qualitative data from infographic carousels, this flow eliminates manual entry errors. It is designed for scalability, utilizing batch processing and conditional logic to ensure high-volume data extraction remains stable. For digital agencies and market researchers, this represents a significant leap in data collection efficiency, allowing your team to focus on strategic analysis rather than tedious data scraping. **Common Use Cases:** - Competitor Ad Monitoring: Automatically extract text from rival brand carousels to track promotional offers and messaging trends. - Social Proof Archiving: Convert customer testimonial images and user-generated content into searchable text for CRM or database storage. - Content Repurposing: Quickly turn visual infographics and educational Instagram slides into text-based blog drafts or newsletter snippets.

13 nodos· 👁 1aggregatecodehttprequest

por Pake.AI

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AI Pharma COA Compliance & Vendor Scoring (n8n + Airtable)

Streamline your quality assurance pipeline with this advanced n8n workflow designed for pharmaceutical manufacturing and supply chain integrity. This automation eliminates the bottleneck of manual document review by leveraging AI to ingest Certificates of Analysis (COAs) via webhooks. The logic begins by extracting critical chemical specifications and comparing them against pre-defined regulatory benchmarks using custom JavaScript logic nodes. Beyond simple data extraction, the system calculates a dynamic Vendor Quality Score based on historical compliance data, storing all results in Airtable for real-time visibility. If a raw material fails to meet safety thresholds, the workflow triggers an automated CAPA (Corrective and Preventive Action) request and alerts stakeholders via email, ensuring zero-gap accountability. This end-to-end solution reduces human error in lab data entry, speeds up batch release cycles, and maintains a digital audit trail essential for FDA/GMP compliance. By integrating Airtable and automated email notifications, it bridges the gap between document processing and actionable business intelligence. **Common Use Cases:** - Automated Raw Material Inspection for GMP-regulated manufacturing facilities. - Vendor Performance Monitoring and dynamic risk-scoring for supply chain audits. - High-speed batch release processing for pharmaceutical distribution centers.

10 nodos· 👁 1airtablecodeemailsend

por Oneclick AI Squad

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Analyze & Publish GCE O-Level Math Predictions with Perplexity AI to WordPress & Slack

Introduction Exams create significant stress for students. This workflow automates syllabus analysis and predicts exam trends using AI, helping educators and students better prepare for GCE 'O' Level Mathematics in Singapore. How It Works Trigger → Fetch Syllabus → Extract & Prepare Data → Load History → AI Analyze → Parse → Format → Convert → Publish → Notify Workflow Template Manual Trigger → Fetch O-Level Math Syllabus → Extract Syllabus Text → Prepare Analysis Data → Load Historical Contex

12 nodos· 👁 1agentextractfromfilehtml

por Cheng Siong Chin

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Automated Amazon Price Monitoring via Apify & Google Sheets

Eliminate the tedious task of manual market research with this enterprise-grade Amazon pricing automation. This workflow leverages the Apify Amazon Scraper to extract real-time SKU data and syncs it directly into Google Sheets for a centralized pricing dashboard. By automating the data collection process, e-commerce managers can shift their focus from data entry to strategic decision-making. The flow operates on a scheduled trigger, initiating a batch processing sequence that handles multiple product URLs without hitting rate limits. It fetches the current Buy Box price, seller information, and stock status, then uses a custom Code node to format the data before performing an upsert operation in Google Sheets. This ensures your records are always current without creating duplicate rows. Whether you are managing a private label brand or a wholesale catalog, this automation provides the competitive intelligence needed to protect your margins and win the Buy Box consistently through data-driven dynamic pricing. **Common Use Cases:** - Dynamic Repricing Intelligence: Feed real-time competitor price shifts into your pricing strategy to maintain Buy Box dominance. - MAP Policy Enforcement: Automatically monitor authorized resellers to ensure they are adhering to Minimum Advertised Price agreements. - Automated Daily Inventory Audits: Track stock fluctuations and pricing trends of top-tier competitors to forecast market demand.

7 nodos· 👁 1@apify/n8n-nodes-apify.apifycodegooglesheets

por Arunava

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Automated Affiliate Intelligence & Competitor Benchmarking

Gain a decisive edge in the affiliate marketing landscape with this sophisticated n8n automation. This workflow eliminates manual research by autonomously monitoring competitor affiliate programs and extracting critical data points such as commission structures, cookie longevity, and payout terms using Bright Data’s scraping capabilities. Beyond simple data collection, the engine leverages integrated logic to score and rank competitors based on their market competitiveness and 'affiliate-friendliness.' This allows your team to identify when a rival changes their strategy in real-time, enabling you to pivot your own incentives to remain the preferred choice for top-tier publishers. The workflow seamlessly pushes these insights into Google Sheets for historical tracking and triggers instant Slack or email alerts for high-priority shifts. By automating this competitive intelligence, businesses can move from reactive adjustments to proactive market leadership, ensuring your affiliate program remains the most attractive option in your niche without spending hours on manual web audits. **Common Use Cases:** - Dynamic Commission Optimization: Automatically adjust your own affiliate rates when a direct competitor raises theirs to prevent publisher churn. - Strategic Partnership Recruitment: Identify competitors with low 'affiliate-friendliness' scores to target their disgruntled top-performing affiliates with better offers. - E-commerce Market Analysis: Track seasonal changes in competitor AOV and payout terms to forecast industry shifts and prepare your holiday marketing budget.

11 nodos· 👁 1codeemailsendgooglesheets

por Daniel Shashko

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AI Video Factory: Automate Viral Shorts with n8n & Shotstack

Transform your content strategy with this enterprise-grade n8n workflow designed to automate the end-to-end production of high-quality ASMR and aesthetic short-form videos. This sophisticated pipeline leverages OpenAI and LangChain to brainstorm trending concepts, Google Sheets for data management, and the Veo API for hyper-realistic video generation. By integrating Shotstack for cloud-based video editing and Postiz for multi-platform scheduling, this workflow eliminates the manual bottleneck of content creation. It handles everything from structured prompt engineering to final rendering and cloud storage. Perfect for digital agencies and solo creators, it ensures a consistent posting cadence on TikTok, YouTube Shorts, and Instagram Reels without the overhead of manual editing. The system includes built-in logic for status tracking, automated file conversion, and intelligent waiting periods to handle API rendering times efficiently, making it a robust 'hands-off' solution for scaling social media presence through AI-driven visual storytelling. **Common Use Cases:** - Automated Social Media Agency (SMMA) content production for niche aesthetic brands. - Mass-scale YouTube Shorts channel management for high-retention ASMR content. - Rapid prototyping of AI-generated product advertisements for e-commerce testing.

29 nodos· 👁 1agentaggregateconverttofile

por Ayoub Boutouil

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Dutch Tender Scraper: Automate TenderNed Data with n8n

Stop manual monitoring of Dutch government contracts and gain a competitive edge with this enterprise-grade TenderNed automation. This workflow transforms the complex TenderNed API into a streamlined business intelligence feed, ensuring you never miss a high-value public procurement opportunity in the Netherlands. The automation begins by polling the official TenderNed repository for new publications via a scheduled trigger. It then performs a deep-dive extraction, fetching raw XML and JSON data for every matching tender. Using advanced parsing logic, it deconstructs intricate procurement details—including contracting authority, project scope, and deadlines—into structured, actionable data. By implementing custom filtering nodes, the flow eliminates noise, focusing only on the sectors relevant to your business. Finally, it aggregates the cleaned data for seamless database storage or CRM integration. This is an essential tool for sales teams and bid managers looking to automate market research and accelerate their response time to government RFPs without the overhead of manual data entry. **Common Use Cases:** - Competitive Intelligence: Track bidding patterns and contract awards from specific Dutch government agencies. - Automated Lead Generation: Instantly alert sales teams when new tenders matching specific NACE or CPV codes are published. - Market Research & Archiving: Build a historical database of public spending and project descriptions for trend analysis.

14 nodos· 👁 1aggregatecodedatatable

por Wessel Bulte

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Automate Candidate Screening: n8n, GPT-4 & LlamaParse Guide

Stop drowning in a sea of resumes and start focusing on top-tier talent. This advanced n8n workflow revolutionizes the initial recruitment phase by leveraging a sophisticated AI stack to pre-screen applicants with surgical precision. When a candidate submits an application via Jotform, the workflow instantly triggers, utilizing LlamaParse to extract deep insights from complex PDF resumes that traditional parsers often miss. These data points are then fed into a GPT-4 powered agent that evaluates the candidate against your specific job requirements, generating an objective compatibility score and a detailed SWOT analysis of their professional background. Beyond mere data extraction, this automation manages the entire communication lifecycle. Based on the AI's evaluation, the system intelligently branches to send personalized follow-up emails via Gmail—either inviting high-scoring candidates to an interview or politely declining those who don't fit the current criteria. This ensures a 24/7 responsive hiring process that eliminates manual bottlenecks, reduces human bias, and saves recruitment teams over 20 hours of repetitive administrative work every week. It is the perfect scalable solution for high-growth startups and enterprise HR departments looking to modernize their talent acquisition pipeline. **Common Use Cases:** - High-volume seasonal retail hiring automation - Technical talent pre-qualification for engineering roles - Automated scholarship and grant application vetting

16 nodos· 👁 1agentcodegmail

por Nitin Dixit

medium

AI Developer Health Tracker: GitHub Burnout Analysis via n8n

Maintaining a high-performing engineering culture requires more than just tracking commits; it requires proactive mental health monitoring. This sophisticated n8n automation serves as an intelligent 'Team Wellness Agent' by analyzing developer activity patterns directly from GitHub repositories. Using Groq AI's high-speed inference, the workflow evaluates commit frequencies, pull request response times, and late-night coding bursts to identify early signs of developer fatigue or burnout. The process begins with a scheduled trigger that fetches granular repository data. An AI agent then processes these metrics to distinguish between healthy productivity and unsustainable work habits. Unlike generic trackers, this workflow generates structured wellness reports that highlight risk factors without micromanaging. It concludes by delivering these insights via Gmail, allowing Engineering Managers and HR leads to intervene before turnover occurs. By automating the sentiment and workload analysis, companies can foster a sustainable DevEx (Developer Experience) environment, reduce technical debt caused by exhausted engineers, and significantly improve team retention rates. **Common Use Cases:** - Engineering Leadership Weekly Wellness Audits - Automated DevEx (Developer Experience) Monitoring - Proactive Burnout Prevention for Remote Software Teams

11 nodos· 👁 1agentcodegithub

por Sean Lon

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Self-Hosted n8n Backup: Auto-Export Workflows & Credentials

Ensure business continuity and protect your automation infrastructure with this robust, self-hosted backup engine. Unlike standard cloud-based exports, this workflow provides a localized security layer by systematically archiving both your n8n workflow JSONs and encrypted credentials directly to your private server or local disk. This is a mission-critical tool for DevOps teams and automation consultants who prioritize data sovereignty and need a fail-safe recovery plan without relying on third-party Git providers. The process begins with a timezone-aware trigger that initiates a full scan of your n8n instance. It utilizes the Code node to aggregate sensitive credential data and workflow structures, packages them into organized directories, and writes them to your local filesystem. For enhanced disaster recovery, the flow includes an optional FTP/SFTP bridge to sync your backups to a secondary off-site location. With integrated error handling and instant email alerts, you’ll receive immediate notification if a backup cycle fails, ensuring your automation environment remains restorable at a moment's notice. This workflow eliminates the manual overhead of exporting files and secures your intellectual property against server failures or accidental deletions. **Common Use Cases:** - Disaster Recovery for Self-Hosted Docker or VPS n8n Instances - Automated Compliance and Security Auditing for Enterprise Automation - Local Infrastructure Migration and Version Archiving for DevOps

23 nodos· 👁 1aggregatecodeconverttofile

por Florent

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Fix Reddit API Blocks: OAuth2 Subreddit Search for n8n

Stop running into network security blocks and 403 errors when scraping Reddit data. This professional-grade n8n workflow bypasses the limitations of standard nodes by implementing a robust OAuth2 authentication layer via the Reddit Developer API. By utilizing the HTTP Request node with proper bearer token headers, this automation ensures your data pipelines remain stable and scalable. The flow begins by triggering a search query, authenticates your developer credentials, and fetches raw subreddit metadata. It then utilizes the Split Out and Aggregate nodes to clean the JSON response, removing unnecessary bloat and delivering a structured list of subreddit names, subscriber counts, and descriptions. This is an essential utility for developers and marketers who need to monitor niche communities without the risk of IP blacklisting. By automating the extraction process, you save hours of manual research and gain a programmatic way to identify high-traffic subreddits for targeted outreach or sentiment analysis, ensuring your infrastructure follows Reddit’s official API best practices. **Common Use Cases:** - Automated Market Research: Identify trending subreddits for product validation and competitor analysis. - Targeted Lead Generation: Build a database of niche communities for highly specific B2B marketing outreach. - Content Strategy Optimization: Extract high-growth subreddit data to determine where to post promotional content for maximum engagement.

5 nodos· 👁 1aggregateexecuteworkflowtriggerhttprequest

por Christian Moises

medium

Automate WooCommerce Social Proof with AI & n8n Workflow

Transform your e-commerce store’s engagement metrics with this sophisticated n8n automation designed to scale social proof effortlessly. Instead of manually managing empty product pages, this workflow synchronizes your WooCommerce catalog with OpenAI’s GPT models to produce diverse, high-quality user interactions. The logic begins by pulling real-time product data, which is then fed into a prompt engineering layer that considers specific item attributes. Unlike basic bots, this flow is programmed to generate a realistic spectrum of feedback—ranging from enthusiastic praise to inquisitive customer inquiries—complete with randomized personas and verified-style metadata. By automating the deployment of these comments, businesses can significantly reduce the 'cold start' problem for new product launches, improve on-page SEO through fresh content updates, and build immediate trust with potential buyers. This professional-grade integration handles everything from HTTP authentication with the WooCommerce REST API to structured data parsing, ensuring a seamless bridge between generative AI and your storefront's database without manual oversight. **Common Use Cases:** - New Product Launch Momentum: Instantly populating fresh inventory with realistic customer inquiries and feedback to lower bounce rates. - Dynamic SEO Content Refresh: Improving organic search rankings by automatically adding keyword-rich, relevant text to static product pages via AI comments. - Conversion Rate Optimization (CRO): Simulating an active community to build 'herd mentality' and psychological safety for first-time site visitors.

6 nodos· 👁 1httprequestmanualtriggeropenai

por Ali Khosravani

medium

Secure AI Agents: 9-Layer LLM Guardrail Testing with Groq

Maintaining AI safety and brand integrity is a critical challenge for modern enterprises. This advanced n8n workflow serves as a comprehensive stress-test environment for your AI infrastructure, leveraging the high-speed Groq LLM to validate your security protocols. Instead of manual testing, this automation systematically executes nine distinct safety layers, ensuring your chatbots and agents are resilient against evolving threats. The flow begins by ingesting potential risk scenarios through a Split Out node, which are then routed through specialized LangChain Guardrail nodes. It rigorously audits for prompt injections, PII leaks, and toxic language while enforcing strict keyword compliance. By centralizing these checks, developers can identify vulnerabilities in their prompt engineering before deployment, drastically reducing the risk of reputational damage. The workflow concludes by aggregating results from the Groq model, providing a clear pass/fail audit trail for every safety category. This is an essential toolkit for any team looking to move from experimental AI to production-ready, compliant automation without sacrificing performance. **Common Use Cases:** - Automated moderation for customer-facing support bots - Pre-deployment vulnerability scanning for enterprise AI agents - Compliance auditing for LLM-generated financial or healthcare content

15 nodos· 👁 1guardrailslmchatgroqmanualtrigger

por Muhammad Shaheer Awan