Code Workflows
1.006 Ergebnisse — ausschließlich quellenverknüpfte n8n-Referenzen
Automate YouTube Uploads with AI-Generated Metadata from Google Drive
👥 Who Is This For? Content creators, marketing teams, and channel managers who want a simple, hands‑off solution to upload videos and automatically generate optimized metadata from video transcripts. 🛠 What Problem Does This Solve? Manual video uploads with proper metadata creation is time‑consuming and repetitive. This workflow fully automates: Monitoring a specific Google Drive folder for new video uploads Seamless YouTube upload processing Transcript extraction for context understanding AI‑powered generation of titles, descriptions, and tags Metadata application to uploaded videos without manual intervention 🔄 Node‑by‑Node Breakdown | Step | Node Purpose | |------|---------------------------------------------------------------------| | 1 | New Video? (Trigger) – Monitors specified Google Drive folder | | 2 | Download New Video – Retrieves the video file from Google Drive | | 3 | Upload to YouTube – Uploads the video to YouTube with initial settings | | 4 | Get Transcript – Extracts transcript from the uploaded video | | 5 | Adjust Transcript Format – Formats raw transcript for processing | | 6 | Create Description – Generates SEO‑optimized description | | 7 | YT Tags (Message
WAmazon Product Search Scraper with BrightData, GPT-4, and Google Sheets
This workflow automates web scraping of Amazon search result pages by retrieving raw HTML, cleaning it to retain only the relevant product elements, and then using an LLM to extract structured product data (name, description, rating, reviews, and price), before saving the results back to Google Sheets. It integrates Google Sheets to supply and collect URLs, BrightData to fetch page HTML, a custom n8n Function node to sanitize the HTML, LangChain (OpenRouter GPT-4) to parse product details, and Google Sheets again to store the output. URL to scape . Result Who Needs Amazon Search Result Scraping? This scraping workflow is ideal for teams and businesses that need to monitor Amazon product listings at scale: E-commerce Analysts** – Track competitor pricing, ratings, and inventory trends. Market Researchers** – Collect data on product popularity and reviews for market analysis. Data Teams** – Automate ingestion of product metadata into BI pipelines or data lakes. Affiliate Marketers** – Keep affiliate catalogs up to date with latest product details and prices. If you need reliable, structured data from Amazon search results delivered directly into your spreadsheets, this workflow saves
Automated YouTube Video Scheduling & AI Metadata Generation 🎬
👥 Who Is This For? Content creators, marketing teams, and channel managers who need to streamline video publishing with optimized metadata and scheduled releases across multiple videos. 🛠 What Problem Does This Solve? Manual YouTube video publishing is time-consuming and often results in inconsistent descriptions, tags, and scheduling. This workflow fully automates: Extracting video transcripts via Apify for metadata generation Creating SEO-optimized descriptions and tags for each video Setting videos to private during initial upload (critical for scheduling) Implementing scheduled publishing at strategic times Maintaining consistent branding and formatting across all content 🔄 Node-by-Node Breakdown | Step | Node Purpose | |------|--------------| | 1 | Every Day (Scheduler) | Trigger workflow on a regular schedule | | 2 | Get Videos to Harmonize | Retrieve videos requiring metadata enhancement | | 3 | Get Video IDs (Unpublished) | Filter for videos that need publishing | | 4 | Loop over Video IDs | Process each video individually | | 5 | Get Video Data | Retrieve metadata for the current video | | 6 | Loop over Videos with Parameter IS | Set parameters for processing | | 7 | Se
BExplore n8n Nodes in a Visual Reference Library
WATCH THE n8n STARTER GUIDE 👇 This template is featured in the n8n Starter Guide series. The template is free, but comes with two additional PDFs and a Quick Start video if you grab the full download pack on gumroad. How it works This template is a visual map of many useful n8n nodes. It groups nodes like Triggers, AI tools, and App connectors onto the canvas. Explore the sections to learn about different nodes and easily copy them for your own workflows. It acts as a handy visual reference guide. Set up steps • Setup takes about 5 minutes. • Import the template into your n8n instance. • Explore the node categories visually on the canvas. • A Quick Start video is included in the download pack, along with a prompts PDF and PDF with links to other awesome n8n templates here on the n8n template gallery.
CAI Speech Coach & Generator using Telegram, Open AI and Gemini
Description This n8n workflow acts as your personal AI speechwriting coach, directly accessible through Telegram. It listens to your spoken or typed drafts, provides insightful feedback on clarity, engagement, structure, and content, and iteratively refines your message based on your updates. Once you're ready, it synthesizes a brand-new speech or talk incorporating all the improvements and your accumulated ideas. This tool streamlines the speechwriting process, offering on-demand AI assistance to help you craft impactful and well-structured presentations. How it Works Input via Telegram: You interact with the workflow by sending your speech drafts or talking points directly to a designated Telegram bot. AI Feedback: The workflow processes your input using AI models (OpenAI and/or Google Gemini) to analyze various aspects of your speech and provides constructive feedback via Telegram. Iterative Refinement: You can then send updated versions of your speech to the bot, receiving further feedback to guide your revisions. Speech Synthesis: When you send the command to "generate speech," the workflow compiles all your previous input and the AI's feedback to synthesize a new, improved sp
Auto-Generate & Publish SEO Articles to WordPress with GPT-4 + Postgres Tracking
🚀 What this flow does • 🔎 Selects the least-used WordPress category (tracked in PostgreSQL) • 🤖 Uses GPT (4-mini or better) to generate a fully formatted SEO article with headings, TOC, lists, CTA, and Yoast blocks • 🖼️ Creates a placeholder cover image and uploads it to WordPress Media • 📬 Publishes the final post via /wp-json/wp/v2/posts with correct category + featured image • 🧠 Logs the used category for future rotation (zero duplicates!) ⚙️ Setup in 3 mins 🏷️ Add your WordPress domain with a simple Set node: domain=https://yourdomain.com 🔐 Create these 3 credentials in n8n: YOUR_WORDPRESS_CREDENTIAL — for /media, /posts YOUR_POSTGRES_CREDENTIAL — for category tracking YOUR_OPENAI_CREDENTIAL — GPT-4-mini or better 🧱 Run the SQL from docs to create the used_categories table ✅ Manually test first 3–5 nodes to check WP auth, OpenAI response, and DB connection 🕒 Then just schedule it and let the bot write for you. 🎯 Why it's awesome This is your personal AI content writer + publisher — perfect for: • 📰 SEO content farms • 📈 Affiliate blogs • 🧰 Micro niche sites • 🤫 PBNs with rotation-safe automation No more manual uploads, broken categories, or GPT spam. Every post i
Error Handling System with PostgreSQL Logging and Rate-Limited Notifications
Log errors and avoid sending too many emails Use case Most of the time, it’s necessary to log all errors that occur. However, in some cases, a scheduled task or service consuming excessive resources might trigger a surge of errors. To address this, we can log all errors but limit alerts to a maximum of one notification every 5 minutes. What this workflow does This workflow can be configured to receive error events, or you can integrate it before your own error-handling logic. If used as the primary error handler, note that this flow will only add a database log entry and take no further action. You’ll need to add your own alerts (e.g., email or push notifications). Below is an example of a notification setup I prefer to use. At the end, there’s an error cleanup option. This feature is particularly useful in development environments. If you already have an error-handling workflow, you can call this one as a sub-workflow. Its final steps include cleanup logic to reset the execution state and terminate the workflow. Setup Verify all Postgres nodes and credentials when using the 'Error Handling Sample' How to adjust it to your needs 1) You can set this workflow as a sub-workflow within
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
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
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:
🧹 Archive (delete) duplicate items from a Notion database
🧑💼 Who is this for? If you’re using Notion to manage a database (like saving links, tasks, notes, or anything really), and it’s starting to get messy with duplicate entries, this workflow is for you. It’s especially useful if you want to keep things tidy without doing any manual cleanup. 🧠 What problem is this workflow solving? Notion doesn’t have a built-in way to find or remove duplicates, so you either clean them up manually 😩 or just let them pile up. This workflow automatically finds entries that share the same property (like a URL or title) and archives the extra copies, keeping just one. ⚙️ What this workflow does Pulls all pages from a Notion database. Identifies duplicates based on a property you choose. Archives the duplicate pages (which is like soft-deleting them). Keeps one version of each duplicate group. It includes two optional triggers: Run it every day ⏰ Or trigger it automatically when a new page is added to the database ⚡ 🛠️ Setup Connect your Notion account in n8n. Select your database in the Notion nodes. In the “Format items properly” node, replace "SET YOUR PROPERTY HERE" with a reference to the property you want to use for detecting duplicates. I reco
Dynamically switch between LLMs for AI Agents using LangChain Code
Dynamically switch between LLMs for AI Agents using LangChain Code Purpose This example workflow demonstrates a way to connect multiple LLMs to a single AI Agent/LangChain Node and programmatically use one – or in this case loop through them. What it does This AI workflow takes in customer complaints and generates a response that is being validated before returned. If the answer was not satisfactory, the response will be generated again with a more capable model. How it works A LangChain Code Node allows multiple LLMs to be connected to a single Basic LLM Chain. On every call only one LLM is actually being connected to the Basic LLM Chain, which is determined by the index defined in a previous Node. The AI output is later validated by a Sentiment Analysis Node If the result was not satisfactory, it loops back to the beginning and executes the same query with the next available LLM The loop ends either when the result passed the requirements or when all LLMs have been used before. Setup Clone the workflow and select the belonging credentials. You'll need an OpenAI Account, alternatively you can swap the LLM nodes with ones from a different provider like Anthropic after the import. H
Sync New Shopify Products to Odoo Products
Seamlessly sync newly created Shopify products into Odoo with this smart, no-code n8n workflow. Automatically checks for duplicates and creates new products only when needed – fully compatible with standard Odoo setup. 🚀 Key Features: Trigger-based Automation: Starts instantly when a new product is created in Shopify Duplicate Check: Searches for an existing product in Odoo using Shopify’s product SKU as the Internal Reference (Default Code) Smart Condition Logic: If a matching product is found, the workflow stops – preventing duplicates If not found, a new product is created in Odoo Auto-Creation of Odoo Product using Shopify data: Product Name Description Price Internal Reference (SKU) Works with both Odoo Community and Enterprise editions Fully customizable and extendable in n8n No coding, no custom modules required 🛠 Requirements: n8n (self-hosted or cloud) Shopify API access Odoo instance with standard API access 💡 A perfect solution for businesses that regularly add new products to Shopify and want them mirrored in Odoo – automatically and without manual effort. +++++++++++++++++++++++++++++++++++++++++ Workflow functions like the integration of a Shopify product with an O
Sync New Shopify Customers to Odoo Contacts
This workflow functions by integrating Shopify customers into Odoo customers. Trigger: Shopify – New Customer Created The workflow starts when a new customer is added in Shopify. Action: Odoo – Search Contact by Email It checks in Odoo to see if a contact already exists with the same email address as the Shopify customer. Condition: Email Match Check If a contact with the same email is found, the workflow ends (no duplicate contact is created). If no match is found, the workflow proceeds to the next step. Action: Odoo – Create New Contact A new contact is created in Odoo using the customer's: Full name Email address Phone number Full Address (whichever is available)
CWMulti-Platform Social Media Publisher with Blotato, GPT-4 Mini & Airtable
How it works • Automates multi-platform social media posting (Instagram, YouTube, TikTok, etc.) using AI-generated content • Integrates Airtable, n8n, and Blotato for full content scheduling and publishing • Supports both image and video uploads with dynamic text and account routing Set up steps • Takes ~15–30 minutes to set up depending on how many platforms you connect • Requires Airtable personal access token and Blotato API key • Uses sticky notes throughout the workflow to explain config, tokens, and troubleshooting clearly
Generate SEO Content Audit Reports with DataForSEO and Google Search Console
Introduction The Content SEO Audit Workflow is a powerful automated solution that generates comprehensive SEO audit reports for websites. By combining the crawling capabilities of DataForSEO with the search performance metrics from Google Search Console, this workflow delivers actionable insights into content quality, technical SEO issues, and performance optimization opportunities. The workflow crawls up to 1,000 pages of a website, analyzes various SEO factors including metadata, content quality, internal linking, and search performance, and then generates a professional, branded HTML report that can be shared directly with clients. The entire process is automated, transforming what would typically be hours of manual analysis into a streamlined workflow that produces consistent, thorough results. This workflow bridges the gap between technical SEO auditing and practical, client-ready deliverables, making it an invaluable tool for SEO professionals and digital marketing agencies. Who is this for? This workflow is designed for SEO consultants, digital marketing agencies, and content strategists who need to perform comprehensive content audits for clients or their own websites. It's
WAutomated PR Code Reviews with GitHub, GPT-4, and Google Sheets Best Practices
AI-Agent Code Review for GitHub Pull Requests Description: This n8n workflow automates the process of reviewing code changes in GitHub pull requests using an OpenAI-powered agent. It connects your GitHub repo, extracts modified files, analyzes diffs, and uses an AI agent to generate a code review based on your internal code best practices (fed from a Google Sheet). It ends by posting the review as a comment on the PR and tagging it with a visual label like ✅ Reviewed by AI. 🔧 What It Does Triggered on PR creation Extracts code diffs from the PR Formats and feeds them into an OpenAI prompt Enriches the prompt using a Google Sheet of Swift best practices Posts an AI-generated review as a comment on the PR Applies a PR label to visually mark reviewed PRs ✅ Prerequisites Before deploying this workflow, ensure you have the following: n8n Instance (Self-hosted or Cloud) GitHub Repository with PR activity OpenAI API Key** for GPT-4o, GPT-4-turbo, or GPT-3.5 GitHub OAuth App** (or PAT) connected to n8n to post comments and access PR diffs (Optional) Google Sheets API credentials if using the code best practices lookup node. ⚙️ Setup Instructions 1. Import the Workflow in n8n, click on Wor
Create a Session-Based Telegram Chatbot with GPT-4o-mini and Google Sheets
How It Works This workflow creates an AI-powered Telegram chatbot with session management, allowing users to: Start new conversations** (/new). Check current sessions** (/current). Resume past sessions** (/resume). Get summaries** (/summary). Ask questions** (/question). Key Components: Session Management**: Uses Google Sheets to track active/expired sessions (storing SESSION IDs and STATE). /new creates a session; /resume reactivates past ones. AI Processing**: OpenAI GPT-4 generates responses with contextual memory (via Simple Memory node). Summarization: Condenses past conversations when requested. Data Logging**: All interactions (prompts/responses) are saved to Google Sheets for audit and retrieval. User Interaction**: Telegram commands trigger specific actions (e.g., /question [query] fetches answers from session history). Main Advantages 1. Multi-session Handling Each user can create, manage, and switch between multiple sessions independently, perfect for organizing different conversations without confusion. 2. Persistent Memory Conversations are stored in Google Sheets, ensuring that chat history and session states are preserved even if the server or n8n instance restarts.
Check Tron Wallet USDT Blacklist Status via Telegram
Description This n8n workflow template allows users to check if a Tron wallet address is blacklisted on the USDT contract via a Telegram bot. When a user sends the command {walletAddress} through the Telegram bot, the workflow queries the Tronscan API to determine if the provided wallet address is blacklisted. The result is then sent back to the user via the Telegram bot. Detailed Description Workflow Overview This workflow is designed to interact with users through a Telegram bot and check if a given Tron wallet address is blacklisted on the USDT contract. The workflow consists of four main nodes: Telegram Trigger Node: Listens for messages from the Telegram bot. HTTP Request Node: Sends a GET request to the Tronscan API to check the blacklist status of the provided wallet address. Function Node: Processes the API response and formats the message to be sent back to the user. Telegram Send Message Node: Sends the formatted message back to the user via the Telegram bot. Nodes Configuration 1.Telegram Trigger Node Event: Message Update Types: Message Command: /sorgu Description: This node listens for the {walletAddress} command followed by a wallet address from the user. 2.HTTP Reque
Optimize Amazon Ads with GPT-4o for Bid, Budget & Keyword Recommendations
Overview This template is designed for Amazon sellers and advertisers who want to automate their campaign performance analysis and bidding strategy. It solves the common challenge of manually reviewing Sponsored Products reports and guessing how to adjust keywords, placements, and budgets. By combining Amazon Advertising reports with OpenAI's GPT-4o, this workflow delivers real-time, personalized optimization instructions — automatically. Features 📥 Automatically downloads Sponsored Products reports from Google Drive 🧠 Uses AI to analyze campaign, keyword, placement, targeting, and budget performance 📊 Supports both .csv and .xlsx report formats 🔁 Handles multiple ASINs and scales easily across ad accounts 📧 Sends structured optimization recommendations to your inbox via Gmail 🗂 Built-in logic to normalize filenames and correctly map reports 🧹 Includes error handling and formatting cleanup for AI-ready input Requirements To use this workflow, you’ll need: An Amazon Ads account with access to Sponsored Products reports A Google Drive folder where Amazon Ads reports are delivered (manually or via Gmail automation) A Gmail account (for sending summaries) An OpenAI API key with
WGenerate & Enrich LinkedIn Leads with Apollo.io, LinkedIn API, Mail.so & GPT-3.5
Note: Now includes an Apify alternative for Rapid API (Some users can't create new accounts on Rapid API, so I have added an alternative for you. But immediately you are able to get access to Rapid API, please use that option, it returns more detailed data). *Scroll to bottom for APify setup guide* This n8n workflow automates LinkedIn lead generation, enrichment, and activity analysis using Apollo.io, RapidAPI, Google Sheets and Mail.so. Perfect for sales teams, founders, B2B marketers, and cold outreach pros who want personalized lead insights to drive better conversion rates. ⚙️ How This Workflow Works The workflow is broken down into several key steps, each designed to help you build and enrich a valuable list of LinkedIn leads: 1. 🔑 Lead Discovery (Keyword Search via Apollo) Pulls leads using Apollo.io's API based on keywords, industries, or job titles. Saves lead name, title, company, and LinkedIn URL to your Google Sheet. You can replace the trigger node from the form node to a webhook, whatsapp, telegram, etc, any way for you to send over your query variables over to initiate the workflow. 2. 🧠 Username Extraction (from LinkedIn URL) Extracts the LinkedIn username from pro