Integrate the Proxycurl API with the MySQL API

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

Popular Ways to Connect Proxycurl with MySQL#

Find Social Media Profiles from Email with Proxycurl API on New Column from MySQL API

MySQL + Proxycurl

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Find Social Media Profiles from Email with Proxycurl API on New or Updated Row from MySQL API

MySQL + Proxycurl

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Find Social Media Profiles from Email with Proxycurl API on New Row (Custom Query) from MySQL API

MySQL + Proxycurl

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Find Social Media Profiles from Email with Proxycurl API on New Row from MySQL API

MySQL + Proxycurl

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Find Social Media Profiles from Email with Proxycurl API on New Table from MySQL API

MySQL + Proxycurl

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Popular Proxycurl and MySQL Triggers#

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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New Table from the MySQL API

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

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Popular Proxycurl and MySQL Actions#

Find Social Media Profiles from Email with the Proxycurl API

Find Social Media Profiles from Email. Cost: 3 credit/successful request 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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Look Up Email from LinkedIn Profile with the Proxycurl API

Lookup work email address of a LinkedIn Person Profile. If you provided a webhook in your request parameter, our application will call your webhook with the result once. Cost: 3 credit/successful request 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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Retrieve Company Metadata from LinkedIn with the Proxycurl API

Retrieve Company Metadata from LinkedIn URL. Cost: 1 credit/successful request See the documentation.

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Overview of Proxycurl#

The Proxycurl API is a tool for scraping LinkedIn data, enabling users to extract professional information from LinkedIn profiles and company pages. When integrated with Pipedream's serverless platform, Proxycurl can automate the collection of LinkedIn data, which can be used for lead generation, market research, or recruitment. Pipedream's capabilities allow users to create workflows that respond to various triggers, process the data with Proxycurl, and then output it to desired destinations or further manipulate it with other apps and services.

Connect Proxycurl#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    proxycurl: {
      type: "app",
      app: "proxycurl",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://nubela.co/proxycurl/api/credit-balance`,
      headers: {
        Authorization: `Bearer ${this.proxycurl.$auth.api_key}`,
      },
    })
  },
})

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