HTTP / Webhook

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

Integrate the HTTP / Webhook API with the Google Cloud API

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

Bigquery Insert Rows with Google Cloud API on New Requests from HTTP / Webhook API
HTTP / Webhook + Google Cloud
 
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GET Request with HTTP / Webhook API on BigQuery - Query Results from Google Cloud API
Google Cloud + HTTP / Webhook
 
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Logging - Write Log with Google Cloud API on New Requests (Payload Only) from HTTP / Webhook API
HTTP / Webhook + Google Cloud
 
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POST Request with HTTP / Webhook API on BigQuery - New Row from Google Cloud API
Google Cloud + HTTP / Webhook
 
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Create Bucket with Google Cloud API on New Requests from HTTP / Webhook API
HTTP / Webhook + Google Cloud
 
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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 Pub/Sub Messages from the Google Cloud API

Emit new Pub/Sub topic in your GCP account. Messages published to this topic are emitted from the Pipedream source.

 
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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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BigQuery - New Row from the Google Cloud API

Emit new events when a new row is added to a table

 
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BigQuery - Query Results from the Google Cloud API

Emit new events with the results of an arbitrary query

 
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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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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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Bigquery Insert Rows with the Google Cloud API

Inserts rows into a BigQuery table. See the docs and for an example here.

 
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Send POST Request with the HTTP / Webhook API

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

 
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Create Bucket with the Google Cloud API

Creates a bucket on Google Cloud Storage See the docs

 
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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 Google Cloud

The Google Cloud API allows developers to access a variety of Google Cloud
services from their own applications. Services that can be accessed include
Google Cloud Storage, Google Cloud Datastore, Google Cloud Functions, and
Google Cloud Pub/Sub. With the Google Cloud API, developers can build a variety
of applications that take advantage of Google Cloud services.

Connect Google Cloud

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module.exports = defineComponent({
  props: {
    google_cloud: {
      type: "app",
      app: "google_cloud",
    }
  },
  async run({steps, $}) {
    // Required workaround to get the @google-cloud/storage package
    // working correctly on Pipedream
    require("@dylburger/umask")()
    
    const { Storage } = require('@google-cloud/storage')
    
    const key = JSON.parse(this.google_cloud.$auth.key_json)
     
    // Creates a client from a Google service account key.
    // See https://cloud.google.com/nodejs/docs/reference/storage/1.6.x/global#ClientConfig
    const storage = new Storage({
      projectId: key.project_id,
      credentials: {
        client_email: key.client_email,
        private_key: key.private_key,
      }
    })
    
    // Uncomment this section and rename for your bucket before running this code
    // const bucketName = 'pipedream-test-bucket';
    
    await storage.createBucket(bucketName)
    console.log(`Bucket ${bucketName} created.`)
  },
})

Community Posts

A Look at Pipedream
A Look at Pipedream
I'm going to build a workflow that will search Twitter every hour for a keyword. It will take the results, format them nicely, and then email it.
Building a Traffic-Based Workflow in Pipedream
Building a Traffic-Based Workflow in Pipedream
Normally I don't like to blog about stuff that isn't generally available to all, but as it will be available sometime soon, I decided to go ahead anyway. And I built something really cool I want to share so that's another reason to talk about this now!