← Pipedream + Mailgun integrations

Mailgun Verify Email with Mailgun APIon New Records from SQL Query from Pipedream API

Pipedream makes it easy to connect APIs for Mailgun, Pipedream and + other apps remarkably fast.

Trigger workflow on
New Records from SQL Query from the Pipedream API
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Mailgun Verify Email with the Mailgun API
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Trusted by 200,000+ developers from startups to Fortune 500 companies

Developers Pipedream

Getting Started

This integration creates a workflow with a Pipedream trigger and Mailgun action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Select this integration
  2. Configure the New Records from SQL Query trigger
    1. Configure timer
    2. Configure SQL Query
    3. Optional- Select a Result Type
    4. Optional- Configure Emit each record as its own event
    5. Connect your Pipedream account
  3. Configure the Mailgun Verify Email action
    1. Connect your Mailgun account
    2. Configure Email Address
    3. Configure Halt on error?
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. Turn on the trigger

Details

This integration uses pre-built, open source components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger

Description:Runs a query against the Pipedream SQL Service on a schedule, emitting the results in batch (default) or with each record as its own event
Version:0.0.2
Key:pipedream-new-records-from-sql-query

Trigger Code

const pipedream = require("../../pipedream.app.js");

module.exports = {
  key: "pipedream-new-records-from-sql-query",
  name: "New Records from SQL Query",
  description:
    "Runs a query against the Pipedream SQL Service on a schedule, emitting the results in batch (default) or with each record as its own event",
  version: "0.0.2",
  dedupe: "unique", // Dedupes records based on the query execution ID
  props: {
    timer: {
      type: "$.interface.timer",
      default: {
        cron: "0 0 * * *",
      },
    },
    sqlQuery: {
      type: "string",
      label: "SQL Query",
      description:
        "Your SQL query (try running in [https://pipedream.com/sql](https://pipedream.com/sql) first)",
    },
    resultType: {
      type: "string",
      label: "Result Type",
      description: `Specifies how you want the query results formatted`,
      optional: true,
      options: ["array", "object", "csv"],
      default: "array",
    },
    emitEachRecordAsEvent: {
      type: "boolean",
      label: "Emit each record as its own event",
      description:
        "If `true`, each record in your results set is emitted as its own event. Defaults to emitting results as a single event (an array of records)",
      optional: true,
      default: false,
    },
    pipedream,
  },
  async run() {
    const results = await this.pipedream.runSQLQuery(
      this.sqlQuery,
      this.resultType
    );
    if (this.resultType === "array" && this.emitEachRecordAsEvent) {
      // First, extract the properties to include in every event
      const { columnInfo, queryExecutionId, csvLocation } = results;
      let event = {
        columnInfo,
        queryExecutionId,
        csvLocation,
      };
      const header = results.results.shift();
      for (const [i, row] of results.results.entries()) {
        let record = {};
        for (const [j, col] of header.entries()) {
          record[col] = row[j];
        }
        // For each record, emit an event
        this.$emit(
          {
            query: this.sqlQuery,
            results: {
              columnInfo,
              queryExecutionId,
              csvLocation,
              record,
            },
          },
          {
            summary: `${this.sqlQuery} - ${i}`,
            id: `${results.queryExecutionId}-${i}`,
          }
        );
      }
      return;
    }
    this.$emit(
      { query: this.sqlQuery, results },
      {
        summary: this.sqlQuery,
        id: results.queryExecutionId,
      }
    );
  },
};

Trigger Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.
LabelPropTypeDescription
timer$.interface.timer
SQL QuerysqlQuerystring

Your SQL query (try running in https://pipedream.com/sql first)

Result TyperesultTypestringSelect a value from the drop down menu:arrayobjectcsv
Emit each record as its own eventemitEachRecordAsEventboolean

If true, each record in your results set is emitted as its own event. Defaults to emitting results as a single event (an array of records)

PipedreampipedreamappThis component uses the Pipedream app.

Trigger Authentication

Pipedream uses API keys for authentication. When you connect your Pipedream account, Pipedream securely stores the keys so you can easily authenticate to Pipedream APIs in both code and no-code steps.

Your API key is in your Account Settings (Settings -> Account).

About Pipedream

Integration platform for developers

Action

Description:Verify email address deliverability with Mailgun.
Version:0.0.1
Key:mailgun-verify-email

Action Code

const mailgun = require("../../mailgun.app.js");

module.exports = {
  key: "mailgun-verify-email",
  name: "Mailgun Verify Email",
  description: "Verify email address deliverability with Mailgun.",
  version: "0.0.1",
  type: "action",
  props: {
    mailgun,
    email: {
      propDefinition: [
        mailgun,
        "email",
      ],
    },
    haltOnError: {
      propDefinition: [
        mailgun,
        "haltOnError",
      ],
    },
  },
  async run () {
    try {
      return await this.mailgun.api("validate").get(this.email);
    } catch (err) {
      if (this.haltOnError) {
        throw err;
      }
      return err;
    }
  },
};

Action Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

LabelPropTypeDescription
MailgunmailgunappThis component uses the Mailgun app.
Email Addressemailstring
Halt on error?haltOnErrorboolean

Action Authentication

Mailgun uses API keys for authentication. When you connect your Mailgun account, Pipedream securely stores the keys so you can easily authenticate to Mailgun APIs in both code and no-code steps.

Get your API Key in the Control Panel, specifically in Settings > API Keys. More info in docs.

If your Mailgun account resides in the EU, choose the EU option in the Region field. Otherwise, choose the US (non-EU) region.

About Mailgun

Sending, receiving and tracking email effortlessly

About Pipedream

Stop writing boilerplate code, struggling with authentication and managing infrastructure. Start connecting APIs with code-level control when you need it — and no code when you don't.

Into to Pipedream
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Powerful features that scale
Manage concurrency and execution rate
Manage concurrency and execution rate

Queue up to 10,000 events per workfow and manage the concurrency and rate at which workflows are triggered.

Process large payloads up to 5 terabytes
Process large payloads up to 5 terabytes

Large file support enables you to trigger workflows with any data (e.g., large JSON files, images and videos) up to 5 terabytes.

Return custom responses to HTTP requests
Return custom responses to HTTP requests

Return any JSON-serializable response from an HTTP triggered workflow using $respond().

Use most npm packages
Use most npm packages

To use any npm package, just require() it -- there's no npm install or package.json required.

Maintain state between executions
Maintain state between executions

Use $checkpoint to save state in one workflow invocation and read it the next time your workflow runs.

Pass data between steps
Pass data between steps

Return data from any step to inspect it in a human-friendly way and reference the data in future steps via the steps object.