Integrate the MySQL API with the PandaDoc API

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

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Popular Ways to Connect MySQL with PandaDoc#

Execute Raw Query with MySQL API on Document Creation Failed (Instant) from PandaDoc API

PandaDoc + MySQL

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Execute Raw Query with MySQL API on Document Deleted (Instant) from PandaDoc API

PandaDoc + MySQL

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Execute Raw Query with MySQL API on Document State Changed (Instant) from PandaDoc API

PandaDoc + MySQL

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Execute Raw Query with MySQL API on Document Updated (Instant) from PandaDoc API

PandaDoc + MySQL

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Execute Raw Query with MySQL API on Recipient Completed (Instant) from PandaDoc API

PandaDoc + MySQL

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Popular MySQL and PandaDoc Triggers#

Document Creation Failed (Instant) from the PandaDoc API

Emit new event when a document failed to be created. See the documentation here

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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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Document Deleted (Instant) from the PandaDoc API

Emit new event when a document is deleted. See the documentation 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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Document State Changed (Instant) from the PandaDoc API

Emit new event when a document's state is changed. See the documentation here

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Popular MySQL and PandaDoc Actions#

Execute SQL Query with the MySQL API

Execute a custom MySQL query. See our docs to learn more about working with SQL in Pipedream.

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Create Document Attachment with the PandaDoc API

Adds an attachment to a document. See the documentation here

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Create Row with the MySQL API

Adds a new row. See the docs here

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Create Document From File with the PandaDoc API

Create a document from a file or public file URL. See the documentation here

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Delete Row with the MySQL API

Delete an existing row. See the docs here

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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#

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);
  },
});

Overview of PandaDoc#

The PandaDoc API opens up a realm of possibilities for automating document workflows, creating a seamless bridge between document management and various business processes. With it, you can programmatically create, send, and track documents, streamline electronic signatures, and manage templates, among others. Integrations through Pipedream can harness these capabilities, enabling you to trigger actions in PandaDoc based on events from other apps, or vice versa.

Connect PandaDoc#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pandadoc: {
      type: "app",
      app: "pandadoc",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.pandadoc.com/public/v1/members/current/`,
      headers: {
        Authorization: `Bearer ${this.pandadoc.$auth.oauth_access_token}`,
      },
    })
  },
})

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