Integrate the Bitly API with the Python API

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

Popular Bitly and Python Actions#

Create a Bitlink with the Bitly API

Converts a long url to a Bitlink and sets additional parameters.See the docs here

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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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Expand a Bitlink with the Bitly API

Retrieves information about Bitlink using id. See the docs here

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List Bitlinks by group with the Bitly API

Retrieves all Bitlinks for a given group. See the docs here

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Retrieve a Bitlink with the Bitly API

Finds an existing Bitlink in your account. Optionally, creates one if none are found. See the docs here

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Overview of Bitly#

The Bitly API enables you to programmatically shorten URLs, track click rates, and manage link performance metrics. By integrating Bitly with Pipedream, you can automate various tasks around link management and amalgamate Bitly’s capabilities with other services, thereby streamlining digital marketing efforts, enhancing social media strategies, and monitoring engagement through data-driven insights.

Connect Bitly#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bitly: {
      type: "app",
      app: "bitly",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api-ssl.bitly.com/v4/user`,
      headers: {
        Authorization: `Bearer ${this.bitly.$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}}