Pulling data from services that n8n doesn’t have a pre-built integration for
You still can use the app in a workflow even if we don’t have a node for that or the existing operation for that. With the HTTP Request node, it is possible to call any API point and use the incoming data in your workflow Main use cases: Connect with apps and services that n8n doesn’t have integration with Web scraping How it works This workflow can be divided into three branches, each serving a distinct purpose: 1.Splitting into Items (HTTP Request - Get Mock Albums): The workflow initiates with a manual trigger (On clicking 'execute'). It performs an HTTP request to retrieve mock albums data from "https://jsonplaceholder.typicode.com/albums." The obtained data is split into items using the Item Lists node, facilitating easier management. 2.Data Scraping (HTTP Request - Get Wikipedia Page and HTML Extract): Another branch of the workflow involves fetching a random Wikipedia page using an HTTP request to "https://en.wikipedia.org/wiki/Special:Random." The HTML Extract node extracts the article title from the fetched Wikipedia page. 3.Handling Pagination (The final branch deals with handling pagination for a GitHub API request): It sends an HTTP request to "https://api.github.com/users/that-one-tom/starred," with parameters like the page number and items per page dynamically set by the Set node. The workflow uses conditions (If - Are we finished?) to check if there are more pages to retrieve and increments the page number accordingly (Set - Increment Page). This process repeats until all pages are fetched, allowing for comprehensive data retrieval.
By JonathanRespond to WhatsApp messages with AI like a pro!
This n8n template demonstrates the beginnings of building your own n8n-powered WhatsApp chatbot! Under the hood, utilise n8n's powerful AI features to handle different message types and use an AI agent to respond to the user. A powerful tool for any use-case! How it works Incoming WhatsApp Trigger provides a way to get messages into the workflow. The message received is extracted and sent through 1 of 4 branches for processing. Each processing branch uses AI to analyse, summarize or transcribe the message so that the AI agent can understand it. The supported types are text, image, audio (voice notes) and video. The AI Agent is used to generate a response generally and uses a wikipedia tool for more complex queries. Finally, the response message is sent back to the WhatsApp user using the WhatsApp node. How to use Once you have setup and configured your WhatsApp account, you'll need to activate your workflow to start processing messages. Good to know: Large media files may negatively impact workflow performance. Requirements WhatsApp Buisness account Google Gemini for LLM. Gemini is used specifically because it can accept audio and video files whereas at time of writing, many other providers like OpenAI's GPT, do not. Customising this workflow For performance reasons, consider detecting large audio and video before sending to the LLM. Pre-processing such files may allow your agent to perform better. Go beyond and create rich and engagement customer experiences by responding using images, audio and video instead of just text!
By JimleukAI-powered stock analysis assistant with Telegram, Claude & GPT-4O Vision
"Ade Technical Analyst" is a dual-workflow AI system combining conversational intelligence with visual chart analysis through Telegram. The system features 11 primary nodes for conversation management and 8 secondary nodes for chart generation and analysis. Core Components: Telegram Integration: Message handling with dynamic typing indicators AI Personality: "Ade" - a financial analyst with 50+ years NYSE/LSE experience using Claude 3.5 Sonnet Chart Generation: TradingView integration via Chart-IMG API with MACD and volume indicators Visual Analysis: GPT-4O vision for technical pattern recognition Memory System: Session-based conversation context retention Target Users Individual traders seeking professional-grade analysis without subscription costs Financial advisors wanting 24/7 AI-powered client support Investment educators needing interactive learning tools Fintech companies requiring white-label analysis solutions Setup Requirements Critical Security Fix Needed: Remove hardcoded API key from Chart-IMG node immediately Store all credentials securely in n8n credential manager Required APIs: OpenRouter (Claude 3.5 Sonnet) OpenAI (GPT-4O vision) Chart-IMG API Telegram Bot Token Technical Prerequisites: n8n version 1.7+ with Langchain nodes Webhook configuration for Telegram Dual-workflow setup with proper ID referencing Workflow Requirements Security Compliance: Never hardcode API keys in workflow JSON files Use n8n credential manager for all sensitive data Implement proper session isolation for user data Include mandatory financial disclaimers Performance Specifications: Model temperature: 0.8 for balanced responses Token limit: 500 for optimized performance Dark theme charts with professional indicators Session-based memory management Need help customizing? Contact me for consulting and support or add me on LinkedIn
By Femi AdExtract trends, auto-generate social content with AI, Reddit, Google & post
Extract Trends and Auto-Generate Social Media Content with OpenAI, Reddit, and Google Trends: Approve and Post to Instagram, TikTok, and More --- Description What Problem Does This Solve? 🛠️ This workflow automates trend extraction and social media content creation for businesses and marketers. It eliminates manual trend research and content generation by fetching trends, scoring them with AI, and posting tailored content to multiple platforms. Target audience: Social media managers, digital marketers, and businesses aiming to streamline content strategies. What Does It Do? 🌟 Fetches trending topics from Reddit, X and Google Trends Scores trends for relevance using OpenAI. Generates content for Twitter/X, LinkedIn, Instagram and Facebook Posts to supported platforms Stores results in Google Sheets for tracking Key Features 📋 Real-time trend fetching from Reddit and Google Trends. AI-driven trend scoring and content generation (OpenAI). Automated posting to Twitter/X, LinkedIn, Instagram, and Facebook. Persistent storage in Google Sheets. --- Setup Instructions Prerequisites ⚙️ n8n Instance: Self-hosted or cloud n8n instance. API Credentials: Reddit API: Client ID and secret from Reddit. SerpApi (Google Trends): API key from SerpApi, stored in n8n credentials OpenAI API: API key with GPT model access. Twitter/X API: OAuth 1.0a credentials with write permissions. LinkedIn API: OAuth 2.0 credentials with worganizationsocial scope. Instagram/Facebook API: Meta Developer app with posting permissions. Google Sheets API: Credentials from Google Cloud Console. Installation Steps 📦 Import the Workflow: Copy the workflow JSON from the "Template Code" section below. Import it into n8n via "Import from File" or "Import from URL". Configure Credentials: Add API credentials in n8n’s Credentials section for Reddit, SerpApi, OpenAI, Twitter/X, LinkedIn, Instagram/Facebook, and Google Sheets. Assign credentials to respective nodes. For example: In the Fetch Google Trends node (HTTP Request), use n8n credentials for SerpApi instead of hardcoding the API key. Example: Set the API key in n8n credentials as SerpApiKey and reference it in the node’s query parameter: api_key={{ $credentials.SerpApiKey }}. Set Up Google Sheets with the following columns (exact column names are case-sensitive) -Timestamp | Trend | Score | BrandVoice | AudienceMood | Customize Nodes: OpenAI Nodes (Trend Relevance Scoring, Generate Social Media Content): Update the model (e.g., gpt-4o) and prompt as needed. HTTP Request Nodes (Post to Twitter/X, Post to LinkedIn, etc.): Verify URLs, authentication, and payloads. Brand Voice/Audience Mood: Adjust Prepare Trend Scoring Input for your desired brandvoice (e.g., "casual") and audiencemood (e.g., "curious"). Test the Workflow: Fetch Reddit Trends to Store Selected Trends- to score and store trends. Retrieve Latest Trends to end) to generate and post content Check Google Sheets for posting statuses --- How It Works High-Level Steps 🔍 Fetch Trends: Pulls trends from Reddit,X and Google Trends. Score Trends: Uses OpenAI to score trends for relevance. Generate Content: Creates platform-specific social media content. Post Content: Posts to LinkedIn, Facebook or X Detailed descriptions are available in the sticky notes within the workflow screenshot above. --- Node Names and Actions Trend Extraction and Scoring Daily Trigger Idea: Triggers the workflow daily. Set Default Inputs: Sets default brand_voice and inputs. Fetch Reddit Trends: Fetches Reddit posts. Extract Reddit Trends: Extracts trends from Reddit. Fetch Google Trends: Fetches Google Trends via SerpApi. Extract Google Trends2: Processes Google Trends data. Fetch Twitter Mentions: Fetches Twitter mentions. Translate Tweets to English: Translates tweets. Fix Tweet Translation Output: Fixes translation format. Detect Audience Mood: Detects audience mood. Fix Audience Mood Output: Fixes mood output format. Analyze News Sentiment: Analyzes news sentiment. Combine Data (Merge): Merges all data sources. Merge Items into Single Item: Combines data into one item. Combine Trends and UGC: Combines trends with UGC. Prepare Trend Scoring Input: Prepares data for scoring. Trend Relevance Scoring: Scores trends with OpenAI. Parse Trend Scores: Parses scoring output. Store Selected Trends: Stores trends in Google Sheets. Content Generation and Posting Retrieve Latest Trends: Retrieves trends from Google Sheets. Parse Retrieved Trends: Parses retrieved trends. Select Top Trends: Selects the top trend. Generate Social Media Content: Generates platform-specific content. Parse Social Media Content: Parses generated content. Generate Images: Generates images for posts (if applicable). -Handle Approvals/Rejection before Posting Post to Instagram: Posts to Instagram. Post to Facebook: Posts to Facebook. Post to LinkedIn: Posts to LinkedIn. --- Customization Tips Add Trend Sources 📡: Include more sources (e.g., Instagram trends) by adding nodes to Combine Data (Merge). Change Content Tone ✍️: Update the Generate Social Media Content prompt for a different tone (e.g., "humorous"). Adjust Schedule ⏰: Modify Daily Trigger Idea to run hourly or weekly. Automate TikTok/YouTube 🎥: Add video generation (e.g., FFMPEG) to post TikTok and YouTube Shorts ---
By ImmanuelExtract Instagram profile data with Apify and store in Google Sheets
Workflow Overview This cutting-edge n8n automation is a powerful social media intelligence gathering tool designed to transform Instagram profile research into a seamless, automated process. By intelligently combining web scraping, data formatting, and cloud storage technologies, this workflow: Discovers Profile Insights: Automatically scrapes Instagram profile data Captures comprehensive profile metrics Extracts critical social media intelligence Intelligent Data Capture: Retrieves follower counts Collects biographical information Captures profile picture and external links Seamless Data Logging: Automatically stores data in Google Sheets Creates a living, updateable database Enables easy analysis and tracking Key Benefits 🤖 Full Automation: Instant profile intelligence 💡 Comprehensive Insights: Detailed social media metrics 📊 Effortless Tracking: Automated data collection 🌐 Multi-Purpose Research: Flexible data gathering Workflow Architecture 🔹 Stage 1: Trigger & Input Form-Based Trigger: Manual username submission Webhook Support: Flexible data entry methods User-Driven Initiation 🔹 Stage 2: Web Scraping Apify Integration: Robust Instagram data extraction Comprehensive Profile Scanning: Followers count Following count Profile biography Profile picture URL 🔹 Stage 3: Data Formatting Intelligent Data Mapping Standardized Data Structure Preparation for Storage 🔹 Stage 4: Cloud Logging Google Sheets Integration Persistent Data Storage Easy Access and Analysis Potential Use Cases Influencer Marketing: Talent identification Competitive Intelligence: Audience research Social Media Analysis: Performance tracking Recruitment: Talent scouting Brand Partnerships: Collaboration opportunities Setup Requirements Apify Account Instagram scraping actor API token Configured scraping parameters Google Sheets Connected Google account Prepared tracking spreadsheet Appropriate sharing settings n8n Installation Cloud or self-hosted instance Workflow configuration API credential management Future Enhancement Suggestions 🤖 Advanced profile scoring 📊 Engagement rate calculation 🔔 Real-time change alerts 🌐 Multi-platform profile tracking 🧠 AI-powered insights generation Technical Considerations Implement robust error handling Use exponential backoff for API calls Maintain flexible data extraction strategies Ensure compliance with platform terms of service Ethical Guidelines Respect user privacy Use data for legitimate research Maintain transparent data collection practices Provide opt-out mechanisms Connect With Me Ready to unlock social media insights? 📧 Email: Yaron@nofluff.online 🎥 YouTube: @YaronBeen 💼 LinkedIn: Yaron Been Transform your social media research with intelligent, automated workflows! InstagramDataScraping SocialMediaIntelligence InfluencerMarketing DataAutomation AIResearch MarketingTechnology SocialMediaAnalytics ProfileIntelligence WebScraping MarketingTech
By Yaron BeenAutomated Instagram reels workflow
This workflow automates the process of creating and posting Instagram Reels, combining Google Drive, AI, Airtable, and the Facebook Graph API. It supports two content creation paths: Scheduled Random Video Selection & Posting Selects a random video from a Google Drive folder named "Random video mover" based on a schedule. Moves the video to a processing folder for posting. Manual Upload Trigger & Posting Watches a specific Google Drive folder ("n8n reels automation on instagram"). Triggers the workflow when a new video is uploaded. Core Process (applies to both paths) Download Video from Google Drive. AI Caption Generation with Google Gemini, using the file name as context. The AI creates concise captions with hashtags and a call-to-action. Airtable Logging to store video name, caption, and URL. Instagram Reels Posting via the Facebook Graph API. Recent Change In early 2025, Meta tightened its requirements for videourl and imageurl parameters. URLs must now be direct, public links to the raw media file with no redirects or authentication. Google Drive links no longer work. Our Fix Store the binary file locally on the n8n server at /tmp/video.mp4. Serve the file through a public n8n webhook with the correct Content-Type. Use the webhook URL in the Facebook Graph API request. Upload succeeds without the “Media download has failed” error. Cleanup Deletes the temporary file after posting. Benefits Saves time with full automation. Improves engagement through AI-generated captions. Keeps content organized in Airtable. Works with Meta’s updated API requirements by hosting files directly from the n8n server.
By Iniyavan JCBuild a weekly AI trend alerter with arXiv and Weaviate
Build a Weekly AI Trend Alerter with arXiv and Weaviate Ditch the endless scroll for AI trends. Meet Archi, your personal AI research assistant that hits you up once a week with everyone you need to know. 🧑🏽🔬 This workflow scrapes AI and machine learning article abstracts from arXiv, enriches them with topic categories using a LLM, and embeds them in a Weaviate vector store. The vector store is then used as a tool for agentic RAG to write a concise, easy-to-read summary of the week in AI research. The final output is a short, weekly email sent to the address of your choice that summarizes key AI research trends and future research directions, with links directly to the most interesting and impactful arXiv papers of the week. Who it's for This workflow is for anyone who can't keep up with all the latest AI advances. Coding skills are not required. How it works This is a contiguous workflow that can be summarized in two main parts: a data pipeline that fetches and embeds articles in Weaviate, and an agentic workflow that generates a weekly email summary. Part 1: Automatically fetch newly published articles on a weekly basis Fetch article abstracts (and metadata) from arXiv's free API Pre-process abstract data Enrich each article with a primary topic, secondary topics, and estimated potential impact of the research using a LLM Post-process data Insert data and embeddings into Weaviate Part 2: Use an AI Agent and Weaviate to generate a weekly summary email Add Weaviate as a Tool to an AI agent node Query Weaviate, agentically, to generate a report on the most important research trends of the week Post-process data Send the summary via email Prerequisites An existing Weaviate cluster. You can view instructions for setting up a local cluster with Docker here or a Weaviate Cloud cluster here. API keys to generate embeddings and power chat models. We use a combination of OpenRouter and OpenAI models. Feel free to switch out the models as you like. An email address with STMP privileges. This is the address the email will come from. In this demo we use a personal Gmail address. You can create a new credential to link a STMP Account using these instructions. Self-hosted n8n instance. See this video for how to get set up in just three minutes. How to run the workflow Go through the prerequisites, creating a Weaviate cluster (can be local or cloud), downloading self-hosted n8n, creating STMP privileges for your email account, and adding your API keys and other credentials. Select the embedding and chat models you'd like to use. Enter the email addresses you want to send the email from and to. Let it rip. Workflow output The output for this workflow is a weekly email that summarizes key research trends and future research directions based on AI and ML papers published on arXiv. Here's an example of a summary email: Hey there, Here's a quick rundown of the key trends in Machine Learning research from the past week. Key Research Trends This Week This week saw significant advancements in retrieval-augmented systems, foundation models for specialized domains, and techniques balancing efficiency with performance. Advanced RAG Architectures: Researchers are developing sophisticated RAG frameworks that go beyond simple document retrieval, with AdaPCR introducing passage combination retrieval and UrbanMind proposing a framework for urban intelligence with multilevel optimization. Foundation Models for Tabular Data: The Real-TabPFN shows that targeted continued pre-training on real-world datasets can significantly boost the performance of foundation models for tabular data, outperforming models trained on broader, potentially noisier datasets. Efficiency-Focused Techniques: Researchers are developing resourceful methods that maintain performance without expensive computations, like logit reweighting for topic-focused summarization and strategic querying for privacy-preserving personalization. Future Research Directions Based on current trends, we expect to see the following developments in the near future: Explainable RAG Systems: Following the source attribution work in RAG systems, we can expect more research into making complex retrieval systems transparent and explainable for users. Cross-Domain and Cross-Modal Fusion: The promising performance of vision-language and code-specialized LLMs in retrieval tasks points toward unified retrievers capable of handling text, code, images, and multimodal content. Data-Centric Synthetic Generation: As shown by work on synthetic relational tabular data, we'll likely see more sophisticated approaches to generating high-quality synthetic data for pre-training foundation models in specialized domains. This week highlights how researchers are making AI more efficient, explainable, and applicable to specialized domains. Look out for more developments in RAG systems, tabular foundation models, and privacy-preserving AI techniques in the coming weeks. Until next week, Archi Want to make it better? Feel free to tweak, build on, or completely reconfigure this workflow. If you come up with something cool, let us know and we might just share it with our community! 💚
By Mary NewhauserSummarize Google Sheets form feedback via OpenAI's GPT-4
This n8n workflow was developed to collect and summarize feedback from an event that was collected via a Google Form and saved in a Google Sheets document. The workflow is triggered manually by clicking on the "Test workflow" button. The Google Sheets node retrieves the responses from the feedback form. The Aggregate node then combines all responses for each question into arrays and prepares the data for analysis. The OpenAI node processes the aggregated feedback data. System Prompt instructs the model to analyze the responses and generate a summary report that includes the overall sentiment regarding the event and constructive suggestions for improvement. The Markdown node converts the summary report, which is in Markdown format, into HTML. Finally, the Gmail node sends an HTML-formatted email to the specified email address.
By YuliaAutomate audio/video transcription in any language with the new ElevenLabs model
How it works 🗣️> 📖 I set up this workflow to convert any audio or video file into structured text using the new ElevenLabs Scribe model, one of the best Speech-to-Text AIs, available in 99+ languages. This workflow integrates seamlessly with n8n and leverages the ElevenLabs Scribe API to: This workflow seamlessly integrates with n8n to: ✅ Upload audio/video files automatically ✅ Transcribe them with industry-leading accuracy in any language ✅ Export the text for further processing (summaries, subtitles, SEO content, etc.) 👉 Try the new ElevenLabs Scribe model now: Convert speech to text instantly Business Cases 🔹 Podcast Transcriptions – Convert podcast episodes into blog posts for SEO and accessibility 🔹 YouTube Subtitles – Generate captions automatically for increased engagement 🔹 Legal & Compliance – Accurately transcribe meetings, interviews, or customer calls 🔹 E-learning – Turn lectures and webinars into structured course notes 🔹 SEO & Content Marketing – Repurpose videos into articles, quotes, and social media content 💡 Boost your productivity with the new Scribe model → Start with ElevenLabs Scribe Set up steps 🚀 Quick & simple setup in n8n – Upload your file, select the model (scribe_v1), and let the AI handle the rest via the ElevenLabs API. ⸻ 📢 Why I Chose the New ElevenLabs Scribe Model? I wanted the most accurate and reliable transcription tool for my workflow. After testing different options, Scribe outperformed Google Gemini & OpenAI Whisper in independent benchmarks. It delivers high-quality transcriptions, even in underserved languages like Serbian, Mongolian, and many more. ✅ Transcribes in 99+ languages ✅ Fast, accurate, and easy to integrate ✅ Suitable for content creators, businesses, and professionals 🔗 Get started now and revolutionize your workflow with the new Scribe model → Try Scribe AI today 🚀 Phil | Inforeole | Linkedin 🇫🇷 Contactez nous pour automatiser vos processus
By philAI-powered YouTube shorts automation: Create & publish with OpenAI & ElevenLabs
👥 Who is this for? Digital marketers, content creators, social media managers, and businesses who want to use AI marketing automation for YouTube Shorts without spending hours on production. This AI workflow helps anyone looking to create more short-form video marketing content without needing fancy editing skills or tons of time. It's perfect for marketing teams who want to automate content creation while keeping their brand's voice and boosting audience engagement through artificial intelligence technology. 🔍 What problem does this workflow solve? Let's be honest - creating high-performing YouTube Shorts consistently takes way too much work. You need AI script generation, voiceover production, video editing, and a solid content marketing strategy to keep your channel growing. Our intelligent automation workflow turns this whole headache into a simple two-click process, while still giving you videos that look and sound professional. This AI solution tackles the real marketing challenge of scaling short-form video production without sacrificing quality or burning through your team's resources. ⚙️ What this workflow does This all-in-one AI marketing automation solution handles your entire YouTube Shorts creation process through five easy steps: 🧠 Smart Idea Generation: Advanced AI creates engaging video concepts, SEO-optimized titles, and descriptions that work with YouTube's algorithm and improve content marketing performance 🎤 Natural Voice Creation: Makes professional-sounding voiceovers using ElevenLabs' artificial intelligence technology, no recording equipment needed 🖼️ Automatic Visual Creation: Uses cutting-edge AI models to make custom images and animated clips that match your video marketing style and brand identity 🎬 Smart Video Editing: AI-powered editing automatically combines all elements with smooth transitions for maximum viewer retention and marketing impact 📱 Easy Content Distribution: Automates the YouTube publishing process with proper metadata to maximize your marketing reach and content discovery The whole marketing automation system runs through Telegram with just two human checkpoints - approving the initial AI idea and giving the final video a thumbs-up. This makes YouTube marketing automation so much easier while letting you keep control over the AI-generated content that gets published. 🛠️ Setup (About 10-15 minutes) Before using this AI marketing automation tool, you'll need: n8n installation (cloud or self-hosted) Telegram account (to interact with your workflow) OpenAI API Key (for AI content generation) ElevenLabs API Key (for AI voice creation) Replicate API Key (for AI video generation) Cloudinary account (for media asset storage) Creatomate API Key (for automated video assembly) 0CodeKit API Key (for script processing automation) YouTube channel with API access (for content publishing) Just add your API keys to the "Set API Keys" node, connect your Telegram bot, and you're ready to start your automated marketing content creation. We've included a step-by-step video walkthrough in the workflow to make setup super easy for your AI marketing system. 🔧 How to customize this workflow to your needs This AI marketing workflow offers tons of flexibility to fit your specific content strategy: Voice Options: Pick from different AI voices to match your brand's tone and what your audience prefers in marketing content Visual Styles: Choose from over 40 different AI image models to get the perfect visual marketing approach Video Effects: Try various artificial intelligence video models for different animation styles that make your content marketing more engaging Content Tweaking: Adjust the AI prompts to perfectly align with your brand voice and content marketing strategy YouTube Settings: Easily optimize category selection and metadata for better audience targeting with your automated marketing content Every part of the AI automation workflow comes with easy-to-follow instructions in color-coded notes, so even if you're new to marketing automation tools, you can still customize everything to fit your needs. Transform your YouTube Shorts marketing strategy with this complete AI automation solution that brings together multiple artificial intelligence technologies to help you create consistent, high-quality short-form video content that drives engagement and scales your digital marketing efforts without the usual production headaches.
By Jonas BuschTurn any RSS feed into email
Use case This workflow automatically turns any RSS feed into a newsletter. It send an email every time a new post is published to an RSS feed in the last hour. I have been using this personally to follow Derek Sivers and Anil Dash, who don't have newsletters. Check them out 😉 How to setup Add your email and email creds Add the RSS feed URLs you want to follow How to adjust this template Add the feeds you want to follow. It does not have to be just email. Why not get a telegram message? Or Slack message? Ah the power of n8n 🚀
By MutasemAuto-generate & post AI images to Facebook using Gemini & Pollinations AI
This workflow is designed for content creators or AI artists who want to automate posting unique AI-generated images to their Facebook Page multiple times a day. It uses Google Gemini via LangChain to generate imaginative image prompts, and Pollinations AI to generate the images. Posts are published with hashtags and a clean caption. Who Is It For AI artists Facebook page managers Digital marketers looking for automated creative content What It Does Triggers 3x daily at 7:00, 11:00, and 17:00 (local time) Generates random AI image prompts in a retro-futuristic, cinematic, or surreal style using Google Gemini Fetches images from Pollinations AI using custom prompts Posts images automatically to your Facebook Page with hashtags Requirements n8n self-hosted or desktop (workflow uses schedule trigger) Pollinations API (no auth needed) Facebook Page with Facebook Graph API token: Required scopes: pagesmanageposts, pagesreadengagement, pagesshowlist Google Gemini API Key (used via LangChain node) How to Customize Change the prompt style in the Basic LLM Chain node (promptType: define) to suit your theme. Adjust Set The Generator Image node if you want: Different image sizes (width / height) Different seed randomness Other Pollinations models (&model=kontext) Add Telegram/Twitter nodes if you want cross-posting Use Set node to allow easy user-level configuration of models, hashtags, times, etc.
By Fahmi Oktafian