HTTP / Webhook

Get a unique URL where you can send HTTP or webhook requests

Integrate the HTTP / Webhook API with the MongoDB API

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

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Create New Document with MongoDB API on New Requests from HTTP / Webhook API
HTTP / Webhook + MongoDB
 
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Delete a Document with MongoDB API on New Requests from HTTP / Webhook API
HTTP / Webhook + MongoDB
 
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Execute Aggregation with MongoDB API on New Requests from HTTP / Webhook API
HTTP / Webhook + MongoDB
 
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Find Document by Id with MongoDB API on New Requests from HTTP / Webhook API
HTTP / Webhook + MongoDB
 
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Find Document with MongoDB API on New Requests from HTTP / Webhook API
HTTP / Webhook + MongoDB
 
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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 Collection from the MongoDB API

Emit new an event when a new collection is added to a database

 
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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 Database from the MongoDB API

Emit new an event when a new database is added

 
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Create New Document with the MongoDB API

Create a new document in a collection of your choice. See the docs here

 
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Delete a Document with the MongoDB API

Delete a single document by ID. See the docs here

 
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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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Execute Aggregation with the MongoDB API

Execute an aggregation pipeline on a MongoDB collection. See the documentation

 
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Send GET Request with the HTTP / Webhook API

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

 
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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
  },
})

Overview of MongoDB

The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.

Connect MongoDB

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import mongodb from 'mongodb'

export default defineComponent({
  props: {
    mongodb: {
      type: "app",
      app: "mongodb",
    },
    collection: {
      type: "string"
    },
    filter: {
      type: "object"
    }
  },
  async run({steps, $}) {
    const MongoClient = mongodb.MongoClient
    
    const {
      database,
      hostname,
      username,
      password,
    } = this.mongodb.$auth
    
    const url = `mongodb+srv://${username}:${password}@${hostname}/test?retryWrites=true&w=majority`
    const client = await MongoClient.connect(url, { 
      useNewUrlParser: true, 
      useUnifiedTopology: true 
    })
    
    const db = client.db(database)

    const results = await db.collection(this.collection).find(this.filter).toArray();
    $.export('results', results);
    
    await client.close()
  },
})

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