LoopMessage

iMessage API for two-way communication

Integrate the LoopMessage API with the MySQL API

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

Create Row with MySQL API on New Alert Received (Instant) from LoopMessage API
LoopMessage + MySQL
 
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Delete Row with MySQL API on New Alert Received (Instant) from LoopMessage API
LoopMessage + MySQL
 
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Execute Query with MySQL API on New Alert Received (Instant) from LoopMessage API
LoopMessage + MySQL
 
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Execute Raw Query with MySQL API on New Alert Received (Instant) from LoopMessage API
LoopMessage + MySQL
 
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Execute Stored Procedure with MySQL API on New Alert Received (Instant) from LoopMessage API
LoopMessage + MySQL
 
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New Alert Received (Instant) from the LoopMessage API

Emit new event when an alert is received via webhook. See the documentation

 
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New Column from the MySQL API

Emit new event when you add a new column to a table. See the docs here

 
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New or Updated Row from the MySQL API

Emit new event when you add or modify a new row in a table. See the docs here

 
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New Row from the MySQL API

Emit new event when you add a new row to a table. See the docs here

 
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New Row (Custom Query) from the MySQL API

Emit new event when new rows are returned from a custom query. See the docs here

 
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Create Row with the MySQL API

Adds a new row. See the docs here

 
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Send Reaction with the LoopMessage API

Action to submit your request to the sending queue. When a request in the queue will be ready to send a reaction in iMessage, an attempt will be made to deliver it to the recipient. See the documentation

 
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Delete Row with the MySQL API

Delete an existing row. See the docs here

 
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Send Text Message with the LoopMessage API

Action to send a text in iMessage to an individual recipient. See the documentation

 
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Execute Query with the MySQL API

Find row(s) via a custom query. See the docs here

 
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Overview of LoopMessage

The LoopMessage API offers you the ability to send, receive, and manage messages within your applications. Through Pipedream's integration, you can harness this API to automate communication processes, organize message flows, and even connect to various data sources or other APIs to create complex messaging workflows. With Pipedream, you can trigger actions based on events, schedule messages, and interact with users in real-time without managing servers or infrastructure.

Connect LoopMessage

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    loopmessage: {
      type: "app",
      app: "loopmessage",
    }
  },
  async run({steps, $}) {
    const data = {
      "contact": `test@google.com`,
    }
    return await axios($, {
      method: "post",
      url: `https://lookup.loopmessage.com/api/v1/contact/lookup/`,
      headers: {
        "Content-Type": `application/json`,
        "Authorization": `${this.loopmessage.$auth.authorization_key}`,
        "Loop-Secret-Key": `${this.loopmessage.$auth.secret_api_key}`,
      },
      data,
    })
  },
})

Overview of MySQL

The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.

Connect MySQL

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import mysql from '@pipedream/mysql';

export default defineComponent({
  props: {
    mysql,
  },
  async run({steps, $}) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql

    const queryObj = {
      sql: "SELECT NOW()",
      values: [], // Ignored since query does not contain placeholders
    };
    return await this.mysql.executeQuery(queryObj);
  },
});