PostHog

Product Analytics? Session Recording? Feature Flags? Experiments? PostHog does that. Open source, backed by @ycombinator

Integrate the PostHog API with the Python API

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

Run Python Code with Python API on New Action Performed from PostHog API
PostHog + Python
 
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New Action Performed from the PostHog API

Emit new event when an action is performed in a project. See the documentation

 
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Capture Event with the PostHog API

Captures a given event within the PostHog system. 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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Overview of PostHog

The PostHog API lets you track events, update user properties, and extract analytics to understand user behavior within your applications. Integrating this API into Pipedream workflows allows you to automate actions based on event data, sync user properties across platforms, and trigger alerts or notifications.

Connect PostHog

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

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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}}