Integrate the Placid API with the Python API

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

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Popular Placid and Python Actions#

Generate Image with the Placid API

Generate a new image based on a specified template. 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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Generate PDF with the Placid API

Creates a new PDF based on a specified template. See the documentation

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Overview of Placid#

The Placid API lets you automate the creation of visual content such as images and videos. With Pipedream, you can trigger workflows using various events, process data, and use the Placid API to dynamically generate marketing materials, social media graphics, personalized images for email campaigns, and more. Leveraging Pipedream's capabilities, you can integrate Placid with other apps to create robust, multi-step automations without writing extensive code.

Connect Placid#

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

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