Integrate the Ragic API with the Python API

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

Popular Ways to Connect Ragic with Python#

Run Python Code with Python API on New Created Record (Instant) from Ragic API

Ragic + Python

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Run Python Code with Python API on New Updated Record (Instant) from Ragic API

Ragic + Python

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Popular Ragic and Python Triggers#

New Created Record (Instant) from the Ragic API

Emit new event when a record is created. Instructions on creating webhooks here.

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New Updated Record (Instant) from the Ragic API

Emit new event when a record is updated. Instructions on creating webhooks here.

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Popular Ragic and Python Actions#

Create Record with the Ragic API

Creates a record. See the docs.

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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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Update Record with the Ragic API

Updates a record. See the docs.

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Overview of Ragic#

The Ragic API offers a robust way to interact with your Ragic databases, enabling you to create, read, update, and delete records programmatically. With its API, you can automate data entry, synchronize data across platforms, and trigger custom workflows. Pipedream amplifies these capabilities with a serverless platform where you can deploy these automations rapidly, reacting to events in Ragic or orchestrating actions across multiple apps.

Connect Ragic#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ragic: {
      type: "app",
      app: "ragic",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.ragic.$auth.domain}.ragic.com/${this.ragic.$auth.database}`,
      headers: {
        "Authorization": `Basic ${this.ragic.$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}}