Integrate the HTTP / Webhook API with the Data Stores API

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

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Popular Ways to Connect HTTP / Webhook with Data Stores#

Add or update a single record with Data Stores API on New Requests from HTTP / Webhook API

HTTP / Webhook + Data Stores

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Add or update multiple records with Data Stores API on New Requests from HTTP / Webhook API

HTTP / Webhook + Data Stores

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Append to record with Data Stores API on New Requests from HTTP / Webhook API

HTTP / Webhook + Data Stores

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Delete a single record with Data Stores API on New Requests from HTTP / Webhook API

HTTP / Webhook + Data Stores

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Delete All Records with Data Stores API on New Requests from HTTP / Webhook API

HTTP / Webhook + Data Stores

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Popular HTTP / Webhook and Data Stores 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 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 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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Popular HTTP / Webhook and Data Stores Actions#

Add or update a single record with the Data Stores API

Add or update a single record in your Pipedream Data Store.

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Add or update multiple records with the Data Stores API

Add or update multiple records to your Pipedream Data Store.

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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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Append to record with the Data Stores API

Append to a record in your data store Pipedream Data Store. If the record does not exist, a new record will be created in an array format.

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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.

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 Data Stores#

Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.

Connect Data Stores#

export default defineComponent({
  props: {
    myDataStore: {
      type: "data_store",
    },
  },
  async run({ steps, $ }) {
    await this.myDataStore.set("key_here","Any serializable JSON as the value")
    return await this.myDataStore.get("key_here")
  },
})

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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