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integrationHTTP Request node
integrationMicrosoft Teams node

HTTP Request and Microsoft Teams integration

Save yourself the work of writing custom integrations for HTTP Request and Microsoft Teams and use n8n instead. Build adaptable and scalable Development, Core Nodes, Communication, and HITL workflows that work with your technology stack. All within a building experience you will love.

How to connect HTTP Request and Microsoft Teams

  • Step 1: Create a new workflow
  • Step 2: Add and configure nodes
  • Step 3: Connect
  • Step 4: Customize and extend your integration
  • Step 5: Test and activate your workflow

Step 1: Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

HTTP Request and Microsoft Teams integration: Create a new workflow and add the first step

Step 2: Add and configure HTTP Request and Microsoft Teams nodes

You can find HTTP Request and Microsoft Teams in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure HTTP Request and Microsoft Teams nodes one by one: input data on the left, parameters in the middle, and output data on the right.

HTTP Request and Microsoft Teams integration: Add and configure HTTP Request and Microsoft Teams nodes

Step 3: Connect HTTP Request and Microsoft Teams

A connection establishes a link between HTTP Request and Microsoft Teams (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.

HTTP Request and Microsoft Teams integration: Connect HTTP Request and Microsoft Teams

Step 4: Customize and extend your HTTP Request and Microsoft Teams integration

Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect HTTP Request and Microsoft Teams with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

HTTP Request and Microsoft Teams integration: Customize and extend your HTTP Request and Microsoft Teams integration

Step 5: Test and activate your HTTP Request and Microsoft Teams workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from HTTP Request to Microsoft Teams or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.

HTTP Request and Microsoft Teams integration: Test and activate your HTTP Request and Microsoft Teams workflow

Meraki packet loss and latency alerts to Microsoft Teams

This Template gives the ability to monitor all uplinks for your Meraki Dashboard and then alert your team in a method you prefer. This example is a Teams notification to our Dispatch Channel

Setup will probably take around 30 minutes to 1h provided with the Template. Most time intensive steps are getting a Meraki API key which I go over and setting up the Teams node which n8n has good documentation for.

Tutorial & explanation https://www.youtube.com/watch?v=JvaN0dNwRNU

Nodes used in this workflow

Popular HTTP Request and Microsoft Teams workflows

+7

Repurpose long-form content into Instagram and LinkedIn posts with OpenAI and Teams

Who is this for Content creators, solopreneurs, and marketing teams who produce long-form content (podcasts, newsletters, interviews, scripts) and want to automatically turn it into multiple social media assets -- Instagram carousels, LinkedIn carousels, LinkedIn text posts, and LinkedIn media posts -- with human-in-the-loop approval via Microsoft Teams. What this workflow does This workflow takes a long-form content file sent via email, extracts strategic content pillars using AI, then fans out into four parallel branches -- each producing a different social media format. Every draft is reviewed and approved in Microsoft Teams before images are generated, assets are saved to Google Drive, and posts are published via Blotato. How it works Email trigger -- A Gmail Trigger watches for emails with a specific subject line (e.g. "Content Repurposing"). The email contains a text attachment (podcast transcript, newsletter, etc.) and optionally a link to the original content. File extraction & storage -- The attachment is extracted, saved as a Google Doc in a timestamped project subfolder on Google Drive, and the source URL is parsed from the email body. AI content strategist -- The Repurpose Strategist agent (OpenAI) analyzes the full text and extracts 5 strategic content pillars, each with a hook headline, core insight, virality factor, and relevant quote. Results are logged in Google Sheets. Four parallel content branches -- The 5 pillars feed into four specialized AI agents that each produce a different format: Instagram/YouTube carousel -- 5 punchy one-liners (max 25 words each) + a social media caption LinkedIn carousel -- 5 slide texts with hooks + a companion caption, plus a styled PDF carousel via HTML-to-PDF LinkedIn text post -- A single strong LinkedIn post (max 100 words) LinkedIn media post -- A post with a guiding statement rendered as an image Human review loop -- Each branch sends its draft to Microsoft Teams for approval via a custom form (approve/reject with feedback). If rejected, feedback is routed back to the AI agent for targeted revisions. Asset generation & storage -- On approval, carousel images are generated via APITemplate.io, all assets (images, post texts, PDFs) are saved to organized Google Drive subfolders, and results are logged back to Google Sheets. Publishing -- Approved posts are published to Instagram and LinkedIn via Blotato, with status monitoring and Teams notifications on success or failure. Setup steps Gmail -- Create OAuth2 credentials. The trigger watches for emails with "Content Repurposing" in the subject. You can customize this filter. Google Drive & Docs -- Create OAuth2 credentials. Set the target folder ID in the Google Drive Trigger node where project subfolders will be created. Google Sheets -- Create a spreadsheet to serve as the content tracker. It will store pillars, carousel texts, post texts, and metadata. Update the Sheet ID in all Google Sheets nodes. OpenAI -- Add your API key. Used by 5 AI agents (strategist + 4 content specialists). Microsoft Teams -- Create OAuth2 credentials. Set the Teams chat ID in the 4 review nodes to route drafts to your approval channel. APITemplate.io -- Create an account and design carousel slide templates. Set the template ID in the image generation nodes. Blotato -- Connect your Instagram and LinkedIn accounts. Add the Blotato API credential and update account IDs in the publishing nodes. HTML-to-PDF -- Install the community node n8n-nodes-htmlcsstopdf (self-hosted only). Customize the carousel slide HTML/CSS template with your branding (logo, colors, profile photo). Requirements Community nodes:** @blotato/n8n-nodes-blotato n8n-nodes-htmlcsstopdf Self-hosted n8n only** (due to community nodes) Gmail OAuth2 credentials Google Drive, Docs & Sheets OAuth2 credentials OpenAI API key Microsoft Teams OAuth2 credentials APITemplate.io account and template Blotato account with connected Instagram and LinkedIn profiles How to customize AI prompts** -- Each of the 5 AI agents has a detailed system prompt you can adjust for tone, word count, language, or output structure. Carousel design** -- Edit the HTML/CSS in the "HTML to PDF" node to match your brand (colors, fonts, logo, profile photo). Update the APITemplate.io template IDs for Instagram-style slides. Platforms** -- Add or remove publishing branches. Currently supports Instagram (via Blotato) and LinkedIn (text post, carousel, media post). Review channel** -- Change the Teams chat ID to route to different teams or channels. Trigger** -- Swap Gmail for another trigger (e.g. Google Drive, webhook, or manual) depending on your content intake workflow. Feedback loop** -- Each branch supports unlimited revision cycles. The AI applies feedback minimally without rewriting from scratch.
+2

LINE Messages with GPT: Save Notes, Namecard Data and Tasks

This workflow template, "Personal Assistant to Note Messages and Extract Namecard Information" is designed to streamline the processing of incoming messages on the LINE messaging platform. It integrates with powerful tools like Microsoft Teams , Microsoft To Do , OneDrive , and OpenRouter.ai to handle tasks such as saving notes, extracting namecard information, and organizing images. Whether you’re managing personal productivity or automating workflows for teams, this template offers a versatile and customizable solution. By leveraging this workflow, you can automate repetitive tasks, improve collaboration, and enhance efficiency in handling LINE messages. Who Is This Template For? This template is ideal for: Professionals: Who want to save important messages, extract data from namecards, or organize images automatically. Teams: Looking to integrate LINE messages into tools like Microsoft Teams and Microsoft To Do for better collaboration. Developers: Seeking to build intelligent workflows that process text, images, and other inputs from LINE. Business Owners: Who need to manage customer interactions, follow-ups, and task tracking efficiently. What Problem Does This Workflow Solve? Managing incoming messages on LINE can be time-consuming, especially when dealing with diverse input types like text, images, and namecards. This workflow solves that problem by: Automatically identifying and routing different message types (text, images, namecards) to appropriate actions. Extracting structured data from namecards and saving it for follow-up tasks. Uploading images to OneDrive and saving text messages to Microsoft Teams or Microsoft To Do for easy access. Sending real-time feedback to users via LINE to confirm that their messages have been processed. What This Workflow Does Receive Messages via LINE Webhook: The workflow is triggered whenever a user sends a message (text, image, or other types) to the LINE bot. Display Loading Animation: A loading animation is displayed to reassure the user that their request is being processed. Route Input Types: The workflow uses a Switch node to determine the type of input: Text Starting with "T": Adds the message as a task in Microsoft To Do. Plain Text: Saves the message in Microsoft Teams under a designated channel (e.g., "Notes"). Images: Identifies whether the image is a namecard, handwritten note, or other content, then processes accordingly. Unsupported formats trigger a polite response indicating the limitation. Process Namecards: *Images * If the image is identified as a namecard, the workflow extracts structured data (e.g., name, email, phone number) using OpenRouter.ai and saves it to Microsoft To Do for follow-up tasks. Save Images to OneDrive: Images are uploaded to OneDrive, renamed based on their unique message ID, and linked in Microsoft Teams for reference. Send Feedback via LINE: The workflow replies to the user with confirmation messages, such as "[ Task Created ]" or "[ Message Saved ]." Setup Guide Pre-Requisites Access to the LINE Developers Console to configure your webhook and bot. Accounts for Microsoft Teams , Microsoft To Do, and OneDrive with API access. An OpenRouter.ai account with credentials to access models like GPT-4o. Basic knowledge of APIs, webhooks, and JSON formatting. Step-by-Step Setup 1) Configure the LINE Webhook: Go to the LINE Developers Console and set up a webhook to receive incoming messages. Copy the Webhook URL from the Line Webhook node and paste it into the LINE Console. Remove any "test" configurations when moving to production. 2) Set Up Microsoft Integrations: Connect your Microsoft Teams, Microsoft To Do, and OneDrive accounts to the respective nodes in the workflow. 3) Set Up OpenRouter.ai: Create an account on OpenRouter.ai and obtain your API credentials. Connect your credentials to the OpenRouter nodes in the workflow. Test the Workflow: Simulate sending text, images, and namecards to the LINE bot to verify that all actions are processed correctly. How to Customize This Workflow to Your Needs Add More Actions: Extend the workflow to handle additional input types or integrate with other tools. Enhance Image Processing: Use advanced OCR tools to improve text extraction from complex images. Customize Feedback Messages: Modify the reply format to include emojis, links, or other formatting options. Expand Use Cases: Adapt the workflow for specific industries, such as sales or customer support, by tailoring the actions to relevant tasks. Why Use This Template? Versatile Automation: Handles multiple input types (text, images, namecards) with ease. Seamless Integration: Connects LINE messages to popular productivity tools like Microsoft Teams and To Do. Structured Data Extraction: Extracts and organizes data from namecards, saving time and effort. Real-Time Feedback: Keeps users informed about the status of their requests with instant notifications.
+6

Translate RSS news and publish to WordPress, Facebook, LinkedIn and Telegram

Who it's for This n8n workflow is designed for content curators, digital marketers, and social media managers who want to automate the process of discovering, translating, and publishing news content from multiple reputable sources. It provides a complete end-to-end system capable of reading RSS feeds, extracting articles and images, translating them into a specific language, and automatically publishing the final content to WordPress, Facebook, LinkedIn, and Telegram. Features Reads news from multiple RSS sources (TechCrunch, The - Verge, Analytics India Mag, Wired, The Next Web) Publishes content to WordPress, Facebook, LinkedIn Profile, LinkedIn Page, and Telegram Supports multiple languages with automatic translation (Bengali configured) Extracts article images, resizes them, adds watermarks, and uploads to WordPress Automatically creates WordPress posts and sets featured images Sends notification updates through Discord, Telegram, WhatsApp, and Gmail Runs automatically every hour Processes multiple articles from different feeds at once Requirements Google Translate API credentials for translation WordPress API access for content and media management Social media API credentials (Facebook, Telegram, LinkedIn) Notification service credentials (Discord, WhatsApp, Gmail) Access to the specified RSS feeds Important Notes Workflow runs on an hourly schedule to fetch the latest news Extracts featured images from articles and processes them for publication Content is automatically translated to Bengali (language code: "bn") Images are resized and watermarked before social media posting WordPress posts are created with translated content and featured images Notifications are sent after processing all items from the RSS feeds The workflow includes wait periods to prevent API rate limiting Support & Help WhatsApp**: Chat on WhatsApp Discord**: SpaGreen Community Facebook Group**: SpaGreen Support Website**: https://spagreen.net Developer Portfolio**: Codecanyon SpaGreen
+8

Analyze Google Ads search terms with AI and send wastage alerts

Who Is This For? This workflow is designed for Google Ads advertisers, PPC managers, and marketing teams who want to automatically monitor and optimize their search term performance. It's particularly valuable for those running brand campaigns who need to identify and eliminate wasteful ad spend on non-brand keywords. What This Workflow Does This workflow functions as an automated Google Ads performance monitoring and optimization system that: Fetches search term data from active Google Ads campaigns daily Filters out brand terms and excluded search terms automatically Analyzes performance metrics using AI to identify wasteful keywords Generates optimization recommendations for negative keyword lists Sends detailed reports through multiple communication platforms Calculates ad wastage in USD for better budget management Key Features Automated Daily Monitoring** – Runs every day at 8 AM to check campaign performance AI-Powered Analysis** – Uses multiple AI models (DeepSeek, OpenAI, xAI, Anthropic) for intelligent keyword categorization Performance Metrics Calculation** – Automatically calculates CTR, CPC, conversions, and ad wastage Multi-Channel Reporting** – Sends reports to Slack, Microsoft Teams, WhatsApp, and Discord Smart Filtering** – Automatically excludes brand terms and excluded search terms Cost Analysis** – Calculates total ad wastage in USD for budget optimization 14-Day Data Window** – Analyzes search terms from the past 14 days for comprehensive insights Requirements & Setup Google Ads API**: Required for fetching campaign and search term data AI Model APIs**: DeepSeek, OpenAI, xAI, or Anthropic for keyword analysis Communication APIs**: Slack, Microsoft Teams, WhatsApp (Rapiwa), Discord for report distribution Scheduled Trigger**: Configured to run daily at 8 AM Google Ads Manager and Client IDs**: For accessing specific campaign data How It Works Data Collection: Fetches active campaigns and extracts search term data from the past 14 days Data Processing: Cleans and aggregates metrics by search term, campaign, and ad group AI Analysis: Uses AI to categorize keywords into wasteful (zero conversions) and review-worthy (has conversions) Report Generation: Creates structured reports with recommendations and cost analysis Multi-Platform Distribution: Sends formatted reports to all configured communication channels Support & Help WhatsApp**: Chat on WhatsApp Discord**: SpaGreen Community Facebook Group**: SpaGreen Support Website**: https://spagreen.net Developer Portfolio**: Codecanyon SpaGreen

Scan Gmail links with VirusTotal and send alerts to WhatsApp, Teams, and Sheets

Who it's for This n8n workflow is designed for IT security professionals, email administrators, and organizations that want to automatically scan URLs received in emails for potential security threats. It provides a complete end-to-end system capable of automatically detecting malicious URLs using VirusTotal API, analyzing the results, and sending notifications when suspicious links are found. Features Automatically monitors Gmail for new emails on a continuous basis (every minute) Extracts all URLs from email content while filtering out Google links Scans each URL using VirusTotal's comprehensive security database Categorizes URLs based on threat level (malicious, suspicious, harmless, undetected) Sends immediate alerts through multiple channels (WhatsApp via Rapiwa, Microsoft Teams) Updates Google Sheets with scan results for historical tracking and analysis Processes URLs in batches to optimize performance Filters out common Google links to reduce false positives Requirements Gmail account with OAuth2 credentials VirusTotal API key Google Sheets API access with OAuth2 credentials Rapiwa API credentials for WhatsApp notifications Microsoft Teams credentials for team notifications A Google Sheet configured to store scan results Important Notes Workflow runs continuously, checking for new emails every minute Only non-Google URLs are scanned to focus on potentially suspicious links Results are categorized based on VirusTotal's analysis: malicious, suspicious, harmless, undetected, timeout, failure, or type_unsupported Alert messages include the URL and all relevant security statistics from VirusTotal All scan results are stored in a Google Sheet for future reference and analysis The workflow processes URLs in batches to optimize performance and avoid API limits Immediate notifications are sent when potentially malicious URLs are detected Support & Help WhatsApp**: Chat on WhatsApp Discord**: SpaGreen Community Facebook Group**: SpaGreen Support Website**: https://spagreen.net Developer Portfolio**: Codecanyon SpaGreen
+6

Share new Shopify products to WordPress, Facebook, Instagram, LinkedIn and more using OpenAI

Who it's for This n8n workflow is designed for Shopify store owners, e-commerce managers, and digital marketers who want to automate their product promotion across multiple platforms. The workflow automatically creates promotional content for new products and distributes them across various social media and content management platforms. Key Features Automatically detects new Shopify products AI converts product descriptions into clear bullet points Optimizes images for each platform Publishes formatted posts to WordPress Shares content across multiple social platforms Sends notifications after successful posts Requirements Shopify Access Token**: For detecting new products in your store OpenAI API Credentials**: For enhancing product descriptions WordPress API Credentials**: For creating posts and uploading media Social Media Platform Credentials**: Facebook Graph API Telegram Bot API LinkedIn OAuth2 API Discord Bot API Notification Service Credentials**: Gmail OAuth2 Rapiwa API (for WhatsApp) Workflow Steps Shopify Trigger: Detects when a new product is created in your Shopify store Image Processing: Extracts and processes product images from the Shopify data Content Enhancement: Uses OpenAI to convert HTML product descriptions into concise, customer-friendly bullet points WordPress Integration: Creates a blog post on your WordPress site with the product information Multi-Platform Sharing: Automatically shares the product on: Facebook page, Telegram channel, LinkedIn profile and page, Discord channel, Instagram Notification System: Sends completion notifications through multiple channels (Telegram, Gmail, Discord, WhatsApp) Support & Help WhatsApp**: Chat on WhatsApp Discord**: SpaGreen Community Facebook Group**: SpaGreen Support Website**: https://spagreen.net Developer Portfolio**: Codecanyon SpaGreen

Build your own HTTP Request and Microsoft Teams integration

Create custom HTTP Request and Microsoft Teams workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

Microsoft Teams supported actions

Create
Create a channel
Delete
Delete a channel
Get
Get a channel
Get Many
Get many channels
Update
Update a channel
Create
Create a message in a channel
Get Many
Get many messages from a channel
Create
Create a message in a chat
Get
Get a message from a chat
Get Many
Get many messages from a chat
Send and Wait for Response
Send a message and wait for response
Create
Create a task
Delete
Delete a task
Get
Get a task
Get Many
Get many tasks
Update
Update a task
Use case

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FAQs

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