Integrate the Lnk.Bio API with the Python API

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

Popular Lnk.Bio and Python Actions#

Create Link with the Lnk.Bio API

Creates a new link on your lnk.bio profile which will immediately publish and appear on top of your existing links. See the documentation

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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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Delete Link with the Lnk.Bio API

Deletes an existing link in lnk.bio. See the documentation

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Overview of Lnk.Bio#

Lnk.Bio is a simple tool for creating micro landing pages that house all of your links in one place, often used for social media profiles like Instagram. With the Lnk.Bio API on Pipedream, you can automate the management of these links, pulling link data into other apps, or triggering actions based on link activity. Imagine updating links dynamically based on inventory levels from an e-commerce platform, or sending notifications when new links are added.

Connect Lnk.Bio#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    lnk_bio: {
      type: "app",
      app: "lnk_bio",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://lnk.bio/oauth/v1/me`,
      headers: {
        Authorization: `Bearer ${this.lnk_bio.$auth.oauth_access_token}`,
      },
    })
  },
})

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}}