← Mailchimp + Python integrations

Run Python Code with Python API on New Campaign from Mailchimp API

Pipedream makes it easy to connect APIs for Python, Mailchimp and 2,400+ other apps remarkably fast.

Trigger workflow on
New Campaign from the Mailchimp API
Next, do this
Run Python Code with the Python API
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Getting Started

This integration creates a workflow with a Mailchimp trigger and Python 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 Campaign trigger
    1. Connect your Mailchimp account
    2. Configure timer
    3. Select a type
    4. Select a status
  3. Configure the Run Python Code action
    1. Connect your Python account
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. Turn on the trigger

Details

This integration uses pre-built, source-available 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:Emit new event when a new campaign is created or sent
Version:0.0.2
Key:mailchimp-new-campaign

Mailchimp Overview

The Mailchimp API taps into the heart of your email marketing efforts, allowing you to manage subscribers, campaigns, and reports. With the API, you can automate tasks like syncing subscriber lists, segmenting contacts based on behavior, and personalizing email content to match user profiles. It's a powerful tool for marketers looking to fine-tune their email strategy and maximize engagement.

Trigger Code

import common from "../common/timer-based.mjs";
import constants from "../constants.mjs";

export default {
  ...common,
  key: "mailchimp-new-campaign",
  name: "New Campaign",
  description: "Emit new event when a new campaign is created or sent",
  version: "0.0.2",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    type: {
      type: "string",
      label: "type",
      description: "There are four types of campaigns you can create in Mailchimp. A/B Split campaigns have been deprecated and variate campaigns should be used instead. ",
      options: constants.CAMPAIGN_TYPES,
      optional: false,
    },
    status: {
      type: "string",
      label: "status",
      description: "Campaign status to watch for.",
      options: constants.CAMPAIGN_STATUSES,
      default: "created",
    },
  },
  hooks: {
    async deploy() {
      // Emits sample events on the first run during deploy.
      const config = {
        count: 10,
        offset: 0,
      };
      const campaigns = this.mailchimp.statusIsSent(this.status)
        ? await this.mailchimp.getCampaignsBySentDate(config)
        : await this.mailchimp.getCampaignsByCreationDate(config);
      const sinceDate = campaigns?.length
        ? this.mailchimp.getCampaignTimestamp(campaigns[0], this.status)
        : Date.now();
      if (campaigns?.length) {
        campaigns.status = this.status;
        campaigns.forEach(this.processEvent);
      }
      this.setDbServiceVariable("lastSinceDate", sinceDate);
    },
  },
  methods: {
    ...common.methods,
    generateMeta(eventPayload) {
      const eventDatedAt = this.mailchimp.getCampaignTimestamp(eventPayload, this.status);
      const ts = Date.parse(eventDatedAt);
      return {
        id: eventPayload.id,
        summary: `Campaign "${eventPayload.settings.title}" was ${this.status}.`,
        ts,
      };
    },
  },
  async run() {
    const beforeDate = (new Date).toISOString();
    const pageSize = constants.PAGE_SIZE;
    let sinceDate = this.getDbServiceVariable("lastSinceDate");
    let campaigns;
    let offset = 0;
    const config = {
      count: pageSize,
      offset,
      status: this.status,
      beforeDate,
    };
    do {
      config.sinceDate = sinceDate;
      config.offset = offset;
      campaigns = this.mailchimp.statusIsSent(this.status)
        ? await this.mailchimp.getCampaignsBySentDate(config)
        : await this.mailchimp.getCampaignsByCreationDate(config);
      if (!campaigns?.length) {
        throw new Error("No campaign data available");
      }
      sinceDate = this.mailchimp.getCampaignTimestamp(campaigns[0], this.status);
      campaigns.forEach(this.processEvent);
      this.setDbServiceVariable("lastSinceDate", sinceDate);
      offset = offset + campaigns.length;
    } while (campaigns.length  === pageSize);
  },
};

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
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
MailchimpmailchimpappThis component uses the Mailchimp app.
timer$.interface.timer
typetypestringSelect a value from the drop down menu:regularplaintextabsplitrssvariate
statusstatusstringSelect a value from the drop down menu:createdsent

Trigger Authentication

Mailchimp uses OAuth authentication. When you connect your Mailchimp account, Pipedream will open a popup window where you can sign into Mailchimp and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Mailchimp API.

Pipedream requests the following authorization scopes when you connect your account:

About Mailchimp

Mailchimp is a marketing automation and email marketing platform.

Action

Description:Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.
Version:0.0.2
Key:python-run-python-code

Python Overview

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Action Code

import python from "../../python.app.mjs";

export default {
  name: "Run Python Code",
  version: "0.0.2",
  key: "python-run-python-code",
  description: "Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.",
  props: {
    python,
  },
  type: "action",
  methods: {},
  async run({
    steps, $,
  }) {
    // Placeholder action for Python code app
  },
};

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
PythonpythonappThis component uses the Python app.

Action Authentication

The Python API does not require authentication.

About Python

Anything you can do in Python can be done in a Pipedream Workflow. This includes using any of the 350,000+ PyPi packages available in your Python powered workflows.

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