Zoho Inventory

Inventory Management | Online Inventory Software

Integrate the Zoho Inventory API with the MySQL API

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

Create Contact with Zoho Inventory API on New Column from MySQL API
MySQL + Zoho Inventory
 
Try it
Create Contact with Zoho Inventory API on New or Updated Row from MySQL API
MySQL + Zoho Inventory
 
Try it
Create Contact with Zoho Inventory API on New Row (Custom Query) from MySQL API
MySQL + Zoho Inventory
 
Try it
Create Contact with Zoho Inventory API on New Row from MySQL API
MySQL + Zoho Inventory
 
Try it
Create Contact with Zoho Inventory API on New Table from MySQL API
MySQL + Zoho Inventory
 
Try it
New Contact from the Zoho Inventory API

Emit new event each time a new contact is created in Zoho Inventory

 
Try it
New Invoice from the Zoho Inventory API

Emit new event each time a new invoice is created in Zoho Inventory

 
Try it
New Item from the Zoho Inventory API

Emit new event each time a new item is created in Zoho Inventory

 
Try it
New Sales Order from the Zoho Inventory API

Emit new event each time a new sales order is created in Zoho Inventory

 
Try it
New Column from the MySQL API

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

 
Try it
Create Contact with the Zoho Inventory API

Create a new contact in Zoho Inventory. See the docs here

 
Try it
Create Row with the MySQL API

Adds a new row. See the docs here

 
Try it
Create Sales Order with the Zoho Inventory API

Create a new sales order in Zoho Inventory. See the docs here

 
Try it
Delete Row with the MySQL API

Delete an existing row. See the docs here

 
Try it
Execute Query with the MySQL API

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

 
Try it

Overview of Zoho Inventory

Zoho Inventory API on Pipedream opens the door to smart inventory management by allowing you to integrate with a plethora of apps, automate inventory tracking, and streamline order processing. You can sync your inventory levels across multiple sales channels, automatically update stock quantities, process sales orders, manage returns, and generate detailed reports, all in real-time. With Pipedream's serverless platform, crafting workflows becomes a breeze, letting you focus on scaling your business while reducing manual overhead.

Connect Zoho Inventory

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    zoho_inventory: {
      type: "app",
      app: "zoho_inventory",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://inventory.${this.zoho_inventory.$auth.base_api_uri}/api/v1/users/me`,
      headers: {
        "Authorization": `Zoho-oauthtoken ${this.zoho_inventory.$auth.oauth_access_token}`,
      },
      params: {
        organization_id: `${this.zoho_inventory.$auth.organization_id}`,
      },
    })
  },
})

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

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
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;
  },
});