Microsoft OneDrive

Microsoft OneDrive lets you store your personal files in one place, share them with others, and get to them from any device.

Integrate the Microsoft OneDrive API with the HTTP / Webhook API

Setup the Microsoft OneDrive API trigger to run a workflow which integrates with the HTTP / Webhook API. Pipedream's integration platform allows you to integrate Microsoft OneDrive and HTTP / Webhook remarkably fast. Free for developers.

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Create Folder with Microsoft OneDrive API on New Requests from HTTP / Webhook API
HTTP / Webhook + Microsoft OneDrive
 
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Create Link with Microsoft OneDrive API on New Requests from HTTP / Webhook API
HTTP / Webhook + Microsoft OneDrive
 
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Download File with Microsoft OneDrive API on New Requests from HTTP / Webhook API
HTTP / Webhook + Microsoft OneDrive
 
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Find File by Name with Microsoft OneDrive API on New Requests from HTTP / Webhook API
HTTP / Webhook + Microsoft OneDrive
 
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Get Table with Microsoft OneDrive API on New Requests from HTTP / Webhook API
HTTP / Webhook + Microsoft OneDrive
 
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New Requests from the HTTP / Webhook API

Get a URL and emit the full HTTP event on every request (including headers and query parameters). You can also configure the HTTP response code, body, and more.

 
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New Requests (Payload Only) from the HTTP / Webhook API

Get a URL and emit the HTTP body as an event on every request

 
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New File Created (Instant) from the Microsoft OneDrive API

Emit new event when a new file is created in a OneDrive drive

 
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New event when the content of the URL changes. from the HTTP / Webhook API

Emit new event when the content of the URL changes.

 
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New Folder Created (Instant) from the Microsoft OneDrive API

Emit new event when a new folder is created in a OneDrive drive

 
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Create Folder with the Microsoft OneDrive API

Create a new folder in a drive. See the documentation

 
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Create Link with the Microsoft OneDrive API

Create a sharing link for a DriveItem. See the documentation

 
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Download File with the Microsoft OneDrive API

Download a file stored in OneDrive. See the documentation

 
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Send any HTTP Request with the HTTP / Webhook API

Send an HTTP request using any method and URL. Optionally configure query string parameters, headers, and basic auth.

 
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Find File by Name with the Microsoft OneDrive API

Search for a file or folder by name. See the documentation

 
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Overview of Microsoft OneDrive

The Microsoft OneDrive API taps into the robust file storage and management capabilities of OneDrive, allowing for operations like file uploads, retrievals, sharing, and synchronization. Integrating this API into Pipedream workflows lets you automate tasks involving file management, content collaboration, and data backup processes. With OneDrive's API on Pipedream, you can streamline document workflows, trigger actions based on file changes, and connect your file storage to countless other services for enhanced productivity.

Connect Microsoft OneDrive

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    microsoft_onedrive: {
      type: "app",
      app: "microsoft_onedrive",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://graph.microsoft.com/v1.0/me`,
      headers: {
        Authorization: `Bearer ${this.microsoft_onedrive.$auth.oauth_access_token}`,
      },
    })
  },
})

Overview of HTTP / Webhook

Build, test, and send HTTP requests without code using your Pipedream workflows. The HTTP / Webhook action is a tool to build HTTP requests with a Postman-like graphical interface.

An interface for configuring an HTTP request within Pipedream's workflow system. The current selection is a GET request with fields for the request URL, authorization type (set to 'None' with a note explaining "This request does not use authorization"), parameters, headers (with a count of 1, though the detail is not visible), and body. Below the main configuration area is an option to "Include Response Headers," and a button labeled "Configure to test." The overall layout suggests a user-friendly, no-code approach to setting up custom HTTP requests.

Point and click HTTP requests

Define the target URL, HTTP verb, headers, query parameters, and payload body without writing custom code.

A screenshot of Pipedream's HTTP Request Configuration interface with a GET request type selected. The request URL is set to 'https://api.openai.com/v1/models'. The 'Auth' tab is highlighted, indicating that authentication is required for this request. In the headers section, there are two headers configured: 'User-Agent' is set to 'pipedream/1', and 'Authorization' is set to 'Bearer {{openai_api_key}}', showing how the OpenAI account's API key is dynamically inserted into the headers to handle authentication automatically.

Here's an example workflow that uses the HTTP / Webhook action to send an authenticated API request to OpenAI.

Focus on integrating, not authenticating

This action can also use your connected accounts with third-party APIs. Selecting an integrated app will automatically update the request’s headers to authenticate with the app properly, and even inject your token dynamically.

This GIF depicts the process of selecting an application within Pipedream's HTTP Request Builder. A user hovers the cursor over the 'Auth' tab and clicks on a dropdown menu labeled 'Authorization Type', then scrolls through a list of applications to choose from for authorization purposes. The interface provides a streamlined and intuitive method for users to authenticate their HTTP requests by selecting the relevant app in the configuration settings.

Pipedream integrates with thousands of APIs, but if you can’t find a Pipedream integration simply use Environment Variables in your request headers to authenticate with.

Compatible with no code actions or Node.js and Python

The HTTP/Webhook action exports HTTP response data for use in subsequent workflow steps, enabling easy data transformation, further API calls, database storage, and more.

Response data is available for both coded (Node.js, Python) and no-code steps within your workflow.

An image showing the Pipedream interface where the HTTP Webhook action has returned response data as a step export. The interface highlights a structured view of the returned data with collapsible sections. We can see 'steps.custom_request1' expanded to show 'return_value' which is an object containing a 'list'. Inside the list, an item 'data' is expanded to reveal an element with an 'id' of 'whisper-1', indicating a model created by and owned by 'openai-internal'. Options to 'Copy Path' and 'Copy Value' are available for easy access to the data points.

Connect HTTP / Webhook

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// To use any npm package on Pipedream, just import it
import axios from "axios"

export default defineComponent({
  async run({ steps, $ }) {
    const { data } = await axios({
      method: "GET",
      url: "https://pokeapi.co/api/v2/pokemon/charizard",
    })
    return data.species
  },
})

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Trusted by 1,000,000+ developers from startups to Fortune 500 companies

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