New Scheduled Tasks from AWS API

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New Scheduled Tasks from the AWS API
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Getting Started

Trigger a workflow on New Scheduled Tasks with AWS API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Configure the New Scheduled Tasks trigger
    1. Connect your AWS account
    2. Select a AWS Region
    3. Optional- Configure Secret
  2. Add steps to connect to 1200+ APIs using code and no-code building blocks
  3. Deploy the workflow
  4. Send a test event to validate your setup
  5. Turn on the trigger


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This is a pre-built, source-available component from Pipedream's GitHub repo. The component is developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

New Scheduled Tasks on AWS
Description:Creates a Step Function State Machine to publish a message to an SNS topic at a specific timestamp. The SNS topic delivers the message to this Pipedream source, and the source emits it as a new event.


import base from "../common/scheduled.mjs";
import { toSingleLineString } from "../../common/utils.mjs";

export default {
  key: "aws-new-scheduled-tasks",
  name: "New Scheduled Tasks",
  description: toSingleLineString(`
    Creates a Step Function State Machine to publish a message
    to an SNS topic at a specific timestamp. The SNS topic delivers
    the message to this Pipedream source, and the source emits it as a new event.
  version: "0.4.1",
  type: "source",
  dedupe: "unique", // Dedupe on SNS message ID
  methods: {
    getStateMachineDefinition() {
      const { PD_COMPONENT: componentId } = process.env;
      const topicArn = this.getTopicArn();
      return {
        Comment: `Task Scheduler for Pipedream component ${componentId}`,
        StartAt: "Wait",
        States: {
          Wait: {
            Comment: "Wait until specified timestamp",
            Type: "Wait",
            TimestampPath: "$.timestamp",
            Next: "SendMessageToSNS",
          SendMessageToSNS: {
            Type: "Task",
            Resource: "arn:aws:states:::sns:publish",
            Parameters: {
              "TopicArn": topicArn,
              "Message.$": "$",
            End: true,
    getStateMachinePermissions() {
      const topicArn = this.getTopicArn();
      const document = {
        Version: "2012-10-17",
        Statement: [
            Effect: "Allow",
            Action: [
            Resource: [
      const name = "publish-messages-to-pipedream-sns-topic";
      return {


This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.
AWSawsappThis component uses the AWS app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
N/Ahttp$.interface.httpThis component uses $.interface.http to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the run() method of the component.
AWS RegionregionstringSelect a value from the drop down menu.

Optional but recommended: if you enter a secret here, you must pass this value in the secret parameter of each HTTP POST request


AWS uses API keys for authentication. When you connect your AWS account, Pipedream securely stores the keys so you can easily authenticate to AWS APIs in both code and no-code steps.

Follow the AWS Instructions for creating an IAM user with an associated access and secret key.

As a best practice, attach the minimum set of IAM permissions necessary to perform the specific task in Pipedream. If your workflow only needs to perform a single API call, you should create a user and associate an IAM group / policy with permission to do only that task. You can create as many linked AWS accounts in Pipedream as you'd like.

Enter your access and secret key below.

About AWS

On-demand cloud computing platforms and APIs

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