Integrate the AWS API with the Gleap API

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

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Popular Ways to Connect AWS with Gleap#

Create Track Event with Gleap API on New Scheduled Tasks from AWS API

AWS + Gleap

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Create Track Event with Gleap API on New SNS Messages from AWS API

AWS + Gleap

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Create Track Event with Gleap API on New Inbound SES Emails from AWS API

AWS + Gleap

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CloudWatch Logs - Put Log Event with AWS API on New Feedback Created from Gleap API

Gleap + AWS

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CloudWatch Logs - Put Log Event with AWS API on New Feedback Updated from Gleap API

Gleap + AWS

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Popular AWS and Gleap 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 Feedback Created from the Gleap API

Emit new event when a feedback is created.

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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 Feedback Updated from the Gleap API

Emit new event when an existing feedback is updated.

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Popular AWS and Gleap Actions#

Create Track Event with the Gleap API

Creates a new track event in Gleap. 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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DynamoDB - Execute Statement with the AWS API

This operation allows you to perform transactional reads or writes on data stored in DynamoDB, using PartiQL. See docs

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DynamoDB - Get Item with the AWS API

The Get Item operation returns a set of attributes for the item with the given primary key. If there is no matching item, Get Item does not return any data and there will be no Item element in the response. 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 Gleap#

The Gleap API allows for the seamless integration of customer feedback into your product development cycle. With Gleap, you can collect bug reports, feature requests, and general feedback, all enriched with screenshots, replay videos, and logs to give you comprehensive insights into user experiences. In Pipedream, you can harness this API to automate workflows, connect feedback to your issue trackers or communication platforms, and analyze data to inform product improvements.

Connect Gleap#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    gleap: {
      type: "app",
      app: "gleap",
    }
  },
  async run({steps, $}) {
    const data = {
      "userId": `1234`,
      "name": `John Doe`,
      "email": `john@doe.com`,
      "value": `1927`,
      "phone": `+1 (129) 18283 8292`,
      "createdAt": `2022-09-28T10:11:18.156Z`,
    }
    return await axios($, {
      url: `https://api.gleap.io/projects `,
      headers: {
        Authorization: `Bearer ${this.gleap.$auth.oauth_access_token}`,
        "Api-Token": `${this.gleap.$auth.secret_api_token}`,
        "Content-Type": `application/json`,
      },
    })
  },
})

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