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

 
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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

With Baserow, you can easily build custom software for managing data. Examples include:

  • Custom CRM systems
  • Sales pipelines
  • Project management tools
  • Inventory management systems
  • HR management systems
  • Time tracking tools
  • And more!

Connect Baserow

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

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

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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}}