Integrate the Baserow API with the Python API

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

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Popular Ways to Connect Baserow with Python#

Run Python Code with Python API on New or Updated Row from Baserow API

Baserow + Python

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Popular Baserow and Python Triggers#

New or Updated Row from the Baserow API

Emit new event when a table row is created, updated or deleted, according to the selected event types

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Popular Baserow and Python Actions#

Create Row with the Baserow API

Create a row See docs here

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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 Row with the Baserow API

Delete a row See docs here

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Get Row with the Baserow API

Get a single row See docs here

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List Rows with the Baserow API

List a table's rows See docs here

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Overview of Baserow#

The Baserow API allows you to interact programmatically with Baserow, an open-source no-code database tool. With its API, you can automate database operations such as creating, reading, updating, and deleting records. Moreover, it's possible to manage databases, tables, fields, and rows, or integrate with external services to enrich or move data in real-time. Leveraging Pipedream’s capabilities, you can trigger workflows from a variety of events and connect Baserow to numerous apps for seamless data processes.

Connect Baserow#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    baserow: {
      type: "app",
      app: "baserow",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.baserow.$auth.base_api_url}/database/rows/table/[TABLE_ID]/`,
      headers: {
        "Authorization": `Token ${this.baserow.$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#

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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