HTTP Request workflows
1,200 results — 3 downloadable workflow files, 1,197 source-linked n8n references
Deploy Docker NextCloud, API Backend for WHMCS/WISECP
Overview The Docker NextCloud WHMCS module leverages a sophisticated workflow for n8n, designed to automate the comprehensive deployment, configuration, and management processes for NextCloud and NextCloud Office services. Through its intuitive API interface, the workflow securely receives commands and orchestrates predefined tasks via SSH on your Docker-hosted server, ensuring streamlined operations and efficient management. Prerequisites You must deploy your own dedicated n8n server to manage workflows effectively. Alternatively, you may opt for the official n8n cloud-based solutions accessible via: n8n Official Site Your Docker server must be accessible via SSH with necessary permissions. Installation Steps Install the Required Workflow on n8n You can select from two convenient installation options: Option 1: Use the Latest Version from the n8n Marketplace The latest workflow templates are continuously updated and available on the n8n marketplace. Explore all templates provided by PUQcloud directly here: PUQcloud on n8n Option 2: Manual Installation Each module version includes a bundled workflow template file. Import this workflow file directly into your n8n server manually. n8
AI-Powered Auto-Generate Exam Questions and Answers from Google Docs with Gemini
This workflow automates the creation of exam questions (both open-ended and multiple-choice) from educational content stored in Google Docs, using AI-powered analysis and vector database retrieval This workflow saves educators hours of manual work while ensuring high-quality, curriculum-aligned assessments. Let me know if you'd like help adapting it for specific subjects! Use Cases Educators**: Rapidly generate quizzes, midterms, or flashcards. E-learning platforms**: Automate question banks for courses. Corporate training**: Create assessments for employee onboarding. Technical Requirements: APIs**: Google Gemini, OpenAI, Qdrant, Google Workspace. n8n Nodes**: LangChain, Google Sheets/Docs, HTTP requests, code blocks. This workflow combines AI efficiency with human-curated quality, making it a powerful tool for modern education and training. Advantages of This Workflow ✅ Fully Automated Exam Generation: From document to fully formatted quiz content with no manual intervention. ✅ Supports Comprehension and Critical Thinking: Questions are designed to go beyond factual recall, including inference and application. ✅ Uses AI and RAG for Accuracy: Ensures that answers are grounded in t
Remote IOT Sensor monitoring via MQTT and InfluxDB
. Read and store IOT sensor data with the MQTT Trigger and InfluxDB [email protected] This workflow is for users wanting a practical example of how to obtain data from remote IOT systems using the MQTT protocol in an n8n environment. The template provides typical n8n node implementation and configuration settings necessary to read and store IOT data. The workflow reads the temperature and humidity data from a remote IOT system in this case a DHT22 sensor connected to a ESP32 micro controller. The data is parsed into the correct JSON format and then ingested in an InfluxDB data bucket. From there the stored temperature and humidity values can be displayed in real time. The workflow can be easily modified to read any MQTT driven device data. Remote IOT Sensor Setup The ESP32 controller with the DHT22 sensor are running on a Wokwi simulator. The simulator uses micro python to publish a MQTT "wokwi-weather" topic with the temperature and humidity payloads to an online Mosquitto MQTT broker. The n8n MQTT trigger node subscribes to the topic on the broker and reads the payload values when any changes are published. The code node then prepares the payload for JSON format. The HTTP
CGitLab Merge Request Review & Risk Analysis with Claude/GPT AI
Trigger The workflow runs when a GitLab Merge Request (MR) is created or updated. Extract & Analyze It retrieves the code diff and sends it to Claude AI or GPT-4o for risk assessment and issue detection. Generate Report AI produces a structured summary with: Risk levels Identified issues Recommendations Test cases Notify Developers The report is: Emailed to developers and QA teams Posted as a comment on the GitLab MR Setup Guide Connect GitLab Add GitLab API credentials Select repositories to track Configure AI Analysis Enter Anthropic (Claude) or OpenAI (GPT-4o) API key Set Up Notifications Add Gmail credentials Update the email distribution list Test & Automate Create a test MR to verify analysis and email delivery Key Benefits Automated Code Review** – AI-driven risk assessment and recommendations Security & Compliance** – Identifies vulnerabilities before code is merged Integration with GitLab CI/CD** – Works within existing DevOps workflows Improved Collaboration** – Keeps developers and QA teams informed Developed by Quantana, an AI-powered automation and software development company.
Access Control for AI Agents (RBAC) using Airtable and Telegram
Purpose This workflow allows granular control over the access to tools connected to AI Agents (including Multi-Agent setups) using Role Based Access Control. Demo & Explanation How it works User permissions are managed in Airtable where every restricted AI tool is listed by name and connected via roles to users Requests to the Main Agent can be sent through a Telegram message (can be replaced by Whatsapp, IMAP or similar) On every request the Telegram username is used to query a list of all allowed tools which are linked in Airtable A LangChain Code node is used to compare that list against the connected tools Every tool which is not permitted to be used is being replaced by a tool, which has a status response, telling the Agent to return a message to the user, that he is not authorized to use the tool Otherwise allowed tools are passed through to the Agent, as if they were connected directly to the Agent The parameters can also be passed to a sub-agent called as a sub-workflow where permissions can be checked the same way Every response is sent back to the same Telegram conversation Setup Clone the workflow and select the belonging credentials. You'll need an OpenAI and Airtable A
W
Automate Cal.com Meeting Attendee Management with Google Sheets, Beehiiv & Telegram
This n8n workflow template automates the process of managing meeting guests booked through Cal.com. It captures attendee information, logs it in a Google Sheet, and subscribes new guests to your Beehiiv newsletter, while also notifying you in Telegram. How it Works This workflow is designed to streamline your post-booking process. When a new meeting is booked via Cal.com, the workflow automatically triggers. It extracts the attendee details, adds a new row with the guest's information to a designated Google Sheet, and then adds the guest as a subscriber to your Beehiiv newsletter. Finally, it sends a notification to a specified Telegram channel, keeping you informed of new subscribers. Features Automated Data Entry:** Automatically log meeting guest details into Google Sheets. Newsletter Growth:** Effortlessly add new meeting guests to your Beehiiv subscriber list. Real-time Notifications:** Get instant alerts in Telegram for new subscribers. Seamless Integration:** Connects Cal.com, Google Sheets, Beehiiv, and Telegram. Set Up To use this workflow, you will need the following: Cal.com:** Set up a Cal.com account and configure a webhook to trigger the workflow on new bookings. You
WAutomate New Customer Onboarding with HubSpot, Google Calendar, and AI-Powered Gmail
This n8n workflow streamlines the onboarding process for new customers by automating personalized email communication, calendar scheduling, and contact assignment in HubSpot. It is perfect for businesses looking to ensure a smooth and personalized onboarding experience for new clients. 🧑💼 Who is this for? Customer success teams who need to onboard new clients efficiently. Sales teams who want to ensure smooth transitions from prospect to customer. Small businesses that want to automate customer onboarding without complex systems. 🧩 What problem is this workflow solving? This workflow reduces the manual effort involved in onboarding new customers by: Automatically sending personalized welcome emails. Scheduling a welcome meeting using a calendar tool. Assigning the customer to a Customer Success Manager (CSM) in HubSpot. ⚙️ What this workflow does Trigger via Webhook or HubSpot: The workflow can be triggered either by a webhook (direct API call) or a HubSpot trigger (e.g., when a new contact is created). HubSpot Connection: Retrieves the list of HubSpot owners (users with contact access). Identifies the owner of the new contact. Calendar Management: Utilizes a Calendar Agent to
WGenerate Logos and Images with Consistent Visual Styles using Imagen 3.0
This n8n template allows you to use AI to generate logos or images which mimic visual styles of other logos or images. The model used to generate the images is Google's Imagen 3.0. With this template, users will be able to automate design and marketing tasks such as creating variants of existing designs, remixing existing assets to validate different styles and explore a range of designs which would have been otherwise too expensive and time-consming previously. How it works A form trigger is used to capture the source image to reference styles from and a prompt for the target image to generate. The source image is passed to Gemini 2.0 to be analysed and its visual style and tone extracted as a detailed description. This visual style description is then combined with the user's initial target image prompt. This final prompt is given to Imagen 3.0 to generate the images. A quick webpage is put together with the generated images to present back to the user. If the user provided an email address, a copy of this HTML page will be sent. How to use Ensure the workflow is live to share the form publicly. The source image must be accessible to your n8n instance - either a public image of t
Extract Named Entities from Web Pages with Google Natural Language API
Who is this for? Content strategists analyzing web page semantic content SEO professionals conducting entity-based analysis Data analysts extracting structured data from web pages Marketers researching competitor content strategies Researchers organizing and categorizing web content Anyone needing to automatically extract entities from web pages What problem is this workflow solving? Manually identifying and categorizing entities (people, organizations, locations, etc.) on web pages is time-consuming and error-prone. This workflow solves this challenge by: Automating the extraction of named entities from any web page Leveraging Google's powerful Natural Language API for accurate entity recognition Processing web pages through a simple webhook interface Providing structured entity data that can be used for analysis or further processing Eliminating hours of manual content analysis and categorization What this workflow does This workflow creates an automated pipeline between a webhook and Google's Natural Language API to: Receive a URL through a webhook endpoint Fetch the HTML content from the specified URL Clean and prepare the HTML for processing Submit the HTML to Google's Natural
Automated Facebook Comment Management with GPT-4o and LangChain
🤖 Facebook AI Agent with MCP Server – Built for Smart Engagement and Automation Hi! I’m Amanda 🥰😘 — I build intelligent automations with n8n and Make. This powerful workflow was designed to help teams automatically handle Facebook page interactions with AI. Using Meta Graph API, LangChain, MCP Server, and GPT-4o, it allows your AI agent to search for posts, read captions, fetch comments, and even reply or message followers, all through structured tools. 🔧 What the workflow does Searches for recent media using Facebook Page ID and access token Reads and extracts captions or media URLs Fetches comments and specific replies from each post Replies to comments automatically with GPT-generated responses Sends direct messages to followers who commented Maps user input and session to keep memory context via LangChain Communicates via Server-Sent Events (SSE) using your MCP Server URL 🧰 Nodes & Tech Used LangChain Agent + Chat Model with GPT-4o Memory Buffer for session memory toolHttpRequest to search media, comments, and send replies MCP Trigger and MCP Tool (custom SSE connection) Set node for input and variable assignment Webhook and JSON for Facebook API structure ⚙️ Setup Instruc
CWAuto-Post Medium.com Articles to LinkedIn with Telegram Alerts
🧠 Problem This Solves Manually sharing Medium articles to LinkedIn daily can be repetitive and time-consuming. This automation: Fetches the latest Medium articles based on a tag (e.g., android) Posts them on LinkedIn twice daily Uses Airtable to prevent duplicates Sends a confirmation to Telegram once posted Stay consistently active on LinkedIn without lifting a finger. 👥 Who This Template Is For Developers who write or follow Medium content Tech creators or founders looking to grow an audience Community or page managers needing regular curated posts Busy professionals who want hands-free LinkedIn engagement ⚙️ Workflow Breakdown This automation runs at 9:00 AM and 7:00 PM daily and performs these steps: Fetch articles from MediumAPI.com by tag Check Airtable to prevent reposting the same article Post on LinkedIn if it’s new Store the article ID in Airtable Send a Telegram message after successful posting 🧾 Step-by-Step Setup Instructions ✅ 1. Airtable Configuration Create a base with: Table Name: PostedArticles Column: ArticleID (Single line text – to track posted articles) 🔗 2. MediumAPI Setup Go to https://mediumapi.com Sign up and generate your API key from the dashboard Us
WSync HubSpot Contacts with LinkedIn URLs, Detect Changes & Send Gmail Alerts
Automate CSV imports into HubSpot without the mess. Powered by n8n. Supercharged by Pollup AI. Who’s this for? This workflow is perfect for Ops-minded folks in Customer Success, Marketing, and Sales – especially if you’re juggling CSV lists, CRM updates, and team-wide reporting. Whether you're a CS ops lead syncing product usage, or a RevOps manager updating contact records, this will save you hours. 🧠 Why it matters Manually importing CSVs into HubSpot is a headache: ❌ Copy-paste errors ❌ Mismatched fields ❌ Wasted time formatting every upload This workflow does the heavy lifting for you: ✅ Pulls fields dynamically from your HubSpot instance ✅ Preps and maps CSV data in minutes ✅ Syncs with Google Sheets to keep your source of truth aligned 🔄 What the workflow actually does Pulls live field names from HubSpot’s API (no guesswork) Indexes and organizes your CSV for import Processes & transforms raw data (optional filters, cleanup, etc.) Dynamically maps CSV fields to HubSpot fields Executes the upload and logs results ⚙️ How to get started Prerequisites: HubSpot private app token Google Sheets API credentials Access to an n8n instance (cloud or self-hosted) Setup in 3 steps: Impo
Collect LinkedIn Profiles with AI Processing using SerpAPI, OpenAI, and NocoDB
What problem does this solve? It fetches LinkedIn profiles for a multitude of purposes based on a keyword and location via Google search and stores them in an Excel file for download and in a NocoDB database. It tries to avoid using costly services and should be n8n beginner friendly. It uses the serpapi.com to avoid being blocked by Google Search and to process the data in an easier way. What does it do? Based on criteria input, it searches LinkedIn profiles It discards unnecessary data and turns the follower count into a real number The output is provided as an Excel table for download and in a NocoDB database How does it do it? Based on criteria input, it uses serpAPI.com to conduct Google search of the respective LinkedI profiles With OpenAI.com the name of the respective company is being added With OpenAI.com the follower number e.g., 300+ is turned into a real number: 300 All unnecessary metadata is being discarded As an output an Excel file is being created The output is stored in a nocodb.com table Step-by-step instruction 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". Set u
WAutomate Lead Qualification with RetellAI Phone Agent, OpenAI GPT & Google Sheet
👉 Build a Phone Agent to qualify outbound leads and schedule inbound calls Who is this for? This workflow is designed for sales teams, call centers, and businesses handling both outbound and inbound lead calls who want to automate their qualification, follow-up, and call documentation process without manual intervention. It’s ideal for teams using Google Sheets, RetellAI, OpenAI, and Gmail as part of their tech stack. Real-World Use Cases 🛍 E-commerce – Instantly handle product FAQs and order status checks, 24/7. 🏬 Retail Stores – Share store hours, directions, and return policies without lifting a finger. 🍽 Restaurants – Take reservations or answer menu questions automatically. 💼 Service Providers – Book appointments or consultations while you focus on your craft. 📞 Any Local Business – Deliver friendly, consistent phone support — no live agent required. What problem is this workflow solving? Managing lead calls at scale can be chaotic—between scheduling outbound qualification calls, handling inbound appointment requests, and making sure every call is documented and followed up. This workflow automates the entire process, reducing human error and saving time by: ✅ Sending re
Client Feedback Collector & Analyzer (Form → AI Summary → Email + Social Draft)
What this workflow does This n8n workflow collects client feedback through a form (Tally, Typeform, or Google Forms) and uses AI to analyze it. It automatically generates a summary of the positive points, highlights areas for improvement, and drafts a short social media post based on the feedback. Ideal for: Freelancers Customer support teams Online service providers Coaches and educators Setup steps Connect your form tool to the Webhook node (POST method) and make sure it sends a feedback field. Add your DeepSeek (or other GPT-compatible) API key to the AI request node. Configure the email node with your SMTP credentials and desired recipient address. Replace the Telegram node with Slack, Buffer, or another integration if you prefer. (Optional) Customize the prompt in the function node for different tone/language. 🕐 Estimated setup time: ~15 minutes 💬 Sticky notes are included and clearly positioned to guide you. Technologies used n8n Webhook node n8n Function node DeepSeek Chat or compatible AI API Email node (SMTP) Telegram node (or other integration) Sticky Notes for setup guidance Use cases Analyze feedback from onboarding or satisfaction surveys Create ready-to-publish soci
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
WSync Youtube Video URLs with Google Sheets
Sync Youtube Videos with Google Sheets (Part 1 of Youtube comments sentiment analyze automation along with detailed dashboard) This workflow is the first part of a multi-part automation system designed to perform large-scale YouTube comment sentiment analysis alongwith detailed dashboard. It solves the problem of manually tracking new videos across multiple YouTube channels by automatically fetching and organizing video URLs in a Google Sheet, setting the stage for deeper analysis in Part 2. What It Does Reads Channel IDs from Sheet3 of a connected Google Sheet. Fetches the latest videos from each Channel ID using the YouTube Data API. Extracts video URLs and metadata (like title and publish date). Appends the video data to Sheet2 of the same Google Sheet — this sheet is later used by Part 2 for further processing. Part of a Multi-Step System This is Part 1 of a 2-workflow system: Part 1 (this workflow)** populates a sheet with the latest videos from a list of channels. Part 2* reads the video URLs from Sheet2, fetches comments for each video, analyzes their sentiment using *OpenAI**, and stores structured results in Sheet1. 👉 Continue to Part 2 – YouTube Comment Sentiment Analyze
WConvert Images to 3D Models with Fal AI Trellis and Store in Google Drive
This workflow allows users to convert a 2D image into a 3D model by integrating multiple AI and web services. The process begins with a user uploading or providing an image URL, which is then sent to a generative AI model capable of interpreting the content and generating a 3D representation in .glb format. The model is then stored and a download link is returned to the user. Main Steps Trigger Node: Initiates the workflow either via HTTP request, webhook, or manual execution. Image Upload or Input: The image is acquired via direct upload or URL input. API Integration: The image is sent to a 3D generation API (e.g., a service like Kaedim, Luma Labs, or a custom AI model). Model Generation: The external API processes the image and creates a 3D model. File Storage: The resulting 3D model is stored in cloud storage (e.g., S3, Google Drive, or a local server). Response to User: A download link for the 3D model is returned to the user via the same communication channel (HTTP response, email, or chat). Advantages Automation**: Eliminates the need for manual 3D modeling, saving time for artists, developers, and designers. AI-Powered**: Leverages AI to generate realistic and usable 3D mode
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.
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
WMonitor Server Uptime & Get Email Alerts with Google Sheets
🌐 Web Server Monitor & Alert System This automation pings web servers at regular intervals, logs their status, and sends email alerts if a server goes down. It’s perfect for maintaining visibility over server uptime — without complex monitoring tools. 🧠 How It Works This workflow performs minute-by-minute checks on all listed servers in a Google Sheet and: ✅ Logs all reachable servers in an “Alive” log. 🔻 Sends an email alert if a server is unreachable. 📄 Logs failed servers in a “Down” sheet with timestamps. 🧩 Key Components ⏰ 1. Schedule Trigger Runs the workflow every minute for real-time monitoring. 📄 2. Web Servers List (Google Sheets) Pulls server IPs or hostnames from a Google Sheet named Server_List. Each row = one server to monitor. This makes adding/removing servers effortless — just update the sheet. 🌐 3. Servers Alive Check (HTTP Request) Performs an HTTP GET request to each server (e.g., http://your-server.com). If the request fails, it automatically triggers the error path (handled via continueOnFail). ✅ 4. Web Server Alive Log (Google Sheets) Records successful pings in Server_Status_Alive with: Timestamp Server IP Status = Alive This log can be used for uptim
Extract Specific Pages from PDFs with CustomJS API
This n8n template shows how to extract selected pages from a generated PDF with the PDF Toolkit by www.customjs.space. @custom-js/n8n-nodes-pdf-toolkit Notice Community nodes can only be installed on self-hosted instances of n8n. What this workflow does Downloads** each PDF using an HTTP Request. Extract** pages from the PDF file as needed. Requirements Self-hosted** n8n instance CustomJS API key** for extracting PDF files. PDF files to be merged** to be converted into a PDF Workflow Steps: Manual Trigger: Runs with user interaction. Download PDF File: Pass urls for PDF files to merge. Extract Pages from PDF: Extract selected pages from a generated PDF Usage Get API key from customJS Sign up to customJS platform. Navigate to your profile page Press "Show" button to get API key Set Credentials for CustomJS API on n8n Copy and paste your API key generated from CustomJS here. Design workflow A Manual Trigger for starting workflow. HTTP Request Nodes for downloading PDF files. Extract Pages from PDF. You can replace logic for triggering and returning results. For example, you can trigger this workflow by calling a webhook and get a result as a response from webhook. Simply replace Manu