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.

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Popular Ways to Connect HTTP / Webhook with Google Cloud#

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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Popular HTTP / Webhook and Google Cloud Triggers#

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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Popular HTTP / Webhook and Google Cloud Actions#

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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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.

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.

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.

Connect HTTP / Webhook#

// 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 opens a world of possibilities for enhancing cloud operations and automating tasks. It empowers you to manage, scale, and fine-tune various services within the Google Cloud Platform (GCP) programmatically. With Pipedream, you can harness this power to create intricate workflows, trigger cloud functions based on events from other apps, manage resources, and analyze data, all in a serverless environment. The ability to interconnect GCP services with numerous other apps enriches automation, making it easier to synchronize data, streamline development workflows, and deploy applications efficiently.

Connect Google Cloud#

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)
     
    const storage = new Storage({
      projectId: key.project_id,
      credentials: {
        client_email: key.client_email,
        private_key: key.private_key,
      }
    })
    
    await storage.authClient.getCredentials()
    return {
      status: "success",
      authenticated: true,
      projectId: key.project_id,
      serviceAccount: key.client_email
    }
  },
})

Community Posts#

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

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!

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