Baserow

Open source online database tool

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.

Create Row with the Baserow API

Create a row See docs here

 
Try it
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.

 
Try it
Delete Row with the Baserow API

Delete a row See docs here

 
Try it
Get Row with the Baserow API

Get a single row See docs here

 
Try it
List Rows with the Baserow API

List a table's rows See docs here

 
Try it

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

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
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

1
2
3
4
5
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}}