PixieBrix

The AI Engagement Platform

Integrate the PixieBrix API with the Python API

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

Add Group Memberships with the PixieBrix API

Adds user memberships to a group in PixieBrix. 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 Group Membership with the PixieBrix API

Deletes a single group membership. See the documentation

 
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List Group Memberships with the PixieBrix API

Gets the current memberships of a group. See the PixieBrix API documentation

 
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Update Group Membership with the PixieBrix API

Updates the memberships of a group in PixieBrix. See the documentation

 
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Overview of PixieBrix

PixieBrix is an extension framework for creating and sharing browser enhancements that streamline and enrich web interactions. It makes the customization of webpages simple, allowing users to tailor their web experience and automate tasks without needing to write code. In Pipedream, you can harness the PixieBrix API to trigger workflows from web actions, scrape data, and integrate with countless other services to automate tasks, enhance analytics, or sync data across platforms.

Connect PixieBrix

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pixiebrix: {
      type: "app",
      app: "pixiebrix",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.pixiebrix.com/api/me`,
      headers: {
        "Accept": `application/json; version=2.0`,
        "Content-Type": `application/json; version=2.0`,
        "Authorization": `Token ${this.pixiebrix.$auth.auth_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

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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}}