Dropcontact

The SaaS solution that enriches, cleans and corrects your contact data directly in your CRM, without any human intervention.

Integrate the Dropcontact API with the MySQL API

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

Enrich Contact with Dropcontact API on New Column from MySQL API
MySQL + Dropcontact
 
Try it
Enrich Contact with Dropcontact API on New or Updated Row from MySQL API
MySQL + Dropcontact
 
Try it
Enrich Contact with Dropcontact API on New Row (Custom Query) from MySQL API
MySQL + Dropcontact
 
Try it
Enrich Contact with Dropcontact API on New Row from MySQL API
MySQL + Dropcontact
 
Try it
Enrich Contact with Dropcontact API on New Table from MySQL API
MySQL + Dropcontact
 
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
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

 
Try it
New Row from the MySQL API

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

 
Try it
New Row (Custom Query) from the MySQL API

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

 
Try it
New Table from the MySQL API

Emit new event when a new table is added to a database. See the docs here

 
Try it
Enrich Contact with the Dropcontact API

Enrich a list of contacts in Dropcontact. See the documentation

 
Try it
Create Row with the MySQL API

Adds a new row. See the docs here

 
Try it
Get Enrichment Request with the Dropcontact API

Retrieve the enriched contacts of a request in Dropcontact. See the documentation

 
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 Dropcontact

The Dropcontact API on Pipedream allows you to enrich and clean contact data dynamically within a serverless workflow. It can find, verify, and correct email addresses, providing additional information like company details and social network profiles. Integrating Dropcontact into Pipedream workflows enables automated data enhancement tasks that can trigger actions in other apps for marketing, sales, or CRM purposes.

Connect Dropcontact

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dropcontact: {
      type: "app",
      app: "dropcontact",
    }
  },
  async run({steps, $}) {
    const data = {
      "data": [
        {"email": "sample_email1@domain.com"},
        {"first_name": "SampleFirstName", "last_name": "SampleLastName", "website": "samplewebsite.com"},
        {"first_name": "SampleFirstName2", "last_name": "SampleLastName2", "email": "sample_email2@domain.com"}
      ],
    }
    return await axios($, {
      method: "post",
      url: `https://api.dropcontact.io/batch`,
      headers: {
        "Content-Type": `application/json`,
        "X-Access-Token": `${this.dropcontact.$auth.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

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