Integrate the Xata API with the Python API

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

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Popular Xata and Python Actions#

Create Record with the Xata API

Create a new Record in the specified database. 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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List Branches with the Xata API

List branches of the specified database. See the documentation

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Replace Record with the Xata API

Replace a record with the specified ID. See the documentation

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Update Record with the Xata API

Update or create a record with the specified ID. See the documentation

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Overview of Xata#

The Xata API offers a serverless, scalable database service that supports building and deploying data-driven applications with ease. With its API-first approach, developers can perform CRUD operations on their databases, manage schemas, and leverage powerful search capabilities. In Pipedream, you can harness the Xata API to automate database operations, sync data across various platforms, and trigger workflows based on database events.

Connect Xata#

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