with Google Docs and HTTP / Webhook?
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.
Get a URL and emit the HTTP body as an event on every request
Emit new event when the content of the URL changes.
Emit new event when a new document is created in Google Docs. See the documentation
Emit new event when a document is created or updated in Google Docs. See the documentation
Append text to an existing document. See the documentation
Create a new document. See the documentation
Appends an image to the end of a document. See the documentation
Send an HTTP request using any method and URL. Optionally configure query string parameters, headers, and basic auth.
Create a new Google Docs file from a template. Optionally include placeholders in the template document that will get replaced from this action. See documentation
The Google Docs API allows you to create, read, and update Google Docs programmatically, enabling a wide range of automations and integrations with other apps and services. With Pipedream, you can harness this API to craft custom serverless workflows that trigger on various events, like form submissions, emails, or scheduled times, and perform actions like updating a document, extracting content, or even generating templated reports.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_docs: {
type: "app",
app: "google_docs",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/drive/v3/about?fields=user`,
headers: {
Authorization: `Bearer ${this.google_docs.$auth.oauth_access_token}`,
},
})
},
})
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.
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.
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.
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.
// 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
},
})