Integrate the Sendlane API with the Python API

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

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Popular Sendlane and Python Actions#

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Overview of Sendlane#

Sendlane's API taps into the power of email marketing automation allowing you to manage contacts, lists, campaigns, and more programmatically. With the Sendlane API on Pipedream, you can automate workflows that react to various triggers, such as incoming webhooks or scheduled times, to perform actions within Sendlane or other connected services. You can create complex, multi-step workflows that streamline your email marketing efforts, sync data across platforms, and personalize customer interactions.

Connect Sendlane#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sendlane: {
      type: "app",
      app: "sendlane",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.sendlane.com/v2/senders`,
      headers: {
        Authorization: `Bearer ${this.sendlane.$auth.api_token}`,
        "Content-Type": `application/json`,
        "Accept": `application/json`,
      },
    })
  },
})

Overview of Python#

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:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

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