Integrate the UserSketch API with the Python API

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

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Popular UserSketch and Python Actions#

Create Event with the UserSketch API

Create an event. 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 User with the UserSketch API

Create an user. See the documentation

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Overview of UserSketch#

The UserSketch API lets you pull user details like names, emails, locations, and job titles, to create realistic user personas for your apps or services. Integrating the UserSketch API with Pipedream unlocks the potential to automate the creation of these personas, enrich CRM data, or enhance user testing with minimal effort. Pipedream's serverless platform facilitates the creation of complex workflows, connecting UserSketch with a vast array of other apps and services to streamline your processes.

Connect UserSketch#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    usersketch: {
      type: "app",
      app: "usersketch",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.usersketch.com/api/customers`,
      headers: {
        "accept": `application/json`,
        "x-api-key": `${this.usersketch.$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}}

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