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H-supertools Analytics Tool

Track your visitors in realtime, without compromising their privacy.

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MySQL

Integrate the H-supertools Analytics Tool API with the MySQL API

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

Popular Ways to Connect H-supertools Analytics Tool with MySQL

Create Report with H-supertools Analytics Tool API on New Column from MySQL API
MySQL + H-supertools Analytics Tool
 
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Create Report with H-supertools Analytics Tool API on New or Updated Row from MySQL API
MySQL + H-supertools Analytics Tool
 
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Create Report with H-supertools Analytics Tool API on New Row (Custom Query) from MySQL API
MySQL + H-supertools Analytics Tool
 
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Create Report with H-supertools Analytics Tool API on New Row from MySQL API
MySQL + H-supertools Analytics Tool
 
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Create Report with H-supertools Analytics Tool API on New Table from MySQL API
MySQL + H-supertools Analytics Tool
 
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Popular H-supertools Analytics Tool and MySQL Triggers

New Report Generated from the H-supertools Analytics Tool API

Emit new event when a new analytics report is created.

 
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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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Popular H-supertools Analytics Tool and MySQL Actions

Create Report with the H-supertools Analytics Tool API

Create a new analytics report for a specified website. See the documentation

 
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Create Row with the MySQL API

Adds a new row. See the docs here

 
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Delete Row with the MySQL API

Delete an existing row. See the docs here

 
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Retrieve Report Data with the H-supertools Analytics Tool API

Fetch the analytics report data for a specified website. 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 H-supertools Analytics Tool

The H-supertools Analytics Tool API provides insights about SEO and online marketing. With Pipedream, you can leverage these insights in automated workflows. Imagine triggering actions based on keyword volumes, tracking your website's position for certain keywords, or getting alerts when your SEO performance changes. Pipedream's serverless platform lets you connect the H-supertools Analytics Tool with various other apps and services, enabling a host of data-driven applications.

Connect H-supertools Analytics Tool

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    h_supertools_analytics_tool: {
      type: "app",
      app: "h_supertools_analytics_tool",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://analytics.h-supertools.com/api/v1/websites`,
      headers: {
        Authorization: `Bearer ${this.h_supertools_analytics_tool.$auth.api_key}`,
        "Accept": `application/json`,
      },
    })
  },
})

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
    };
    const { rows } = await this.mysql.executeQuery(queryObj);
    return rows;
  },
});
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