Integrate the AWS API with the Gigasheet API

Setup the AWS API trigger to run a workflow which integrates with the Gigasheet API. Pipedream's integration platform allows you to integrate AWS and Gigasheet remarkably fast. Free for developers.

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Popular Ways to Connect AWS with Gigasheet#

Create Export with Gigasheet API on New Scheduled Tasks from AWS API

AWS + Gigasheet

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Create Export with Gigasheet API on New SNS Messages from AWS API

AWS + Gigasheet

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Download Export with Gigasheet API on New Scheduled Tasks from AWS API

AWS + Gigasheet

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Download Export with Gigasheet API on New SNS Messages from AWS API

AWS + Gigasheet

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Upload Data From URL with Gigasheet API on New Scheduled Tasks from AWS API

AWS + Gigasheet

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Popular AWS and Gigasheet Triggers#

New Scheduled Tasks from the AWS API

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.

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New SNS Messages from the AWS API

Creates an SNS topic in your AWS account. Messages published to this topic are emitted from the Pipedream source.

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New Inbound SES Emails from the AWS API

The source subscribes to all emails delivered to a specific domain configured in AWS SES. When an email is sent to any address at the domain, this event source emits that email as a formatted event. These events can trigger a Pipedream workflow and can be consumed via SSE or REST API.

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New Deleted S3 File from the AWS API

Emit new event when a file is deleted from a S3 bucket

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New DynamoDB Stream Event from the AWS API

Emit new event when a DynamoDB stream receives new events. See the docs here

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Popular AWS and Gigasheet Actions#

Create Export with the Gigasheet API

Creates an export for a gigasheet dataset. See the documentation

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Download Export with the Gigasheet API

Downloads an export from Gigasheet. See the documentation

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Upload Data From URL with the Gigasheet API

Uploads data from a URL to Gigasheet. See the documentation

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CloudWatch Logs - Put Log Event with the AWS API

Uploads a log event to the specified log stream. See docs

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DynamoDB - Create Table with the AWS API

Creates a new table to your account. See docs

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Overview of AWS#

The AWS API unlocks endless possibilities for automation with Pipedream. With this powerful combo, you can manage your AWS services and resources, automate deployment workflows, process data, and react to events across your AWS infrastructure. Pipedream offers a serverless platform for creating workflows triggered by various events that can execute AWS SDK functions, making it an efficient tool to integrate, automate, and orchestrate tasks across AWS services and other apps.

Connect AWS#

import AWS from 'aws-sdk'

export default defineComponent({
  props: {
    aws: {
      type: "app",
      app: "aws",
    }
  },
  async run({steps, $}) {
    const { accessKeyId, secretAccessKey } = this.aws.$auth
    
    /* Now, pass the accessKeyId and secretAccessKey to the constructor for your desired service. For example:
    
    const dynamodb = new AWS.DynamoDB({
      accessKeyId, 
      secretAccessKey,
      region: 'us-east-1',
    })
    
    */
  },
})

Overview of Gigasheet#

The Gigasheet API enables users to manipulate large-scale data sheets within the cloud effortlessly. Through Pipedream, you can leverage this functionality to automate data analysis, manipulation, and enrichment workflows. By connecting Gigasheet with other apps, you can streamline processes like data import, transformation, and sharing, making Pipedream an ideal platform to enhance productivity and data handling efficiency.

Connect Gigasheet#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    gigasheet: {
      type: "app",
      app: "gigasheet",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.gigasheet.com/user/whoami`,
      headers: {
        "X-GIGASHEET-TOKEN": `${this.gigasheet.$auth.api_key}`,
        "accept": `application/json`,
      },
    })
  },
})

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