Integrate the Productlane API with the Python API

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

Popular Productlane and Python Actions#

Create Contact with the Productlane API

Creates a new contact with email, name, and an array of segments in Productlane. 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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Create Feedback with the Productlane API

Create new feedback in Productlane. See the documentation

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Upvote Project with the Productlane API

Upvotes a project by ID. See the documentation

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Overview of Productlane#

The Productlane API on Pipedream allows you to integrate and automate your product feedback loop. You can craft workflows to manage feature requests, prioritize product development, and engage with your user base more effectively. It's useful for product managers who want to streamline user feedback into actionable insights, and for development teams aiming to align their work with customer needs.

Connect Productlane#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    productlane: {
      type: "app",
      app: "productlane",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://productlane.com/api/v1/companies`,
      headers: {
        Authorization: `Bearer ${this.productlane.$auth.api_key}`,
      },
    })
  },
})

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}}