Integrate the SeaTable API with the Python API

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

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Popular Ways to Connect SeaTable with Python#

Run Python Code with Python API on New or Updated Row (Instant) from SeaTable API

SeaTable + Python

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Run Python Code with Python API on New Row Created (Instant) from SeaTable API

SeaTable + Python

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Popular SeaTable and Python Triggers#

New or Updated Row (Instant) from the SeaTable API

Emit new event when a row is added or updated in a table.

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New Row Created (Instant) from the SeaTable API

Emit new event when a new row is added to a table.

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Popular SeaTable and Python Actions#

Create Row with the SeaTable API

Creates a new row in the specified table. 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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Delete Row with the SeaTable API

Deletes a specific row from a specified table. See the documentation

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Update Row with the SeaTable API

Updates an existing row in a specified table. See the documentation

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Overview of SeaTable#

The SeaTable API allows you to interact programmatically with SeaTable databases. With it, you can create, update, and delete records, rows, and columns, manipulate tables, and manage users. In Pipedream, you can harness this API to automate data flows between SeaTable and other apps, trigger workflows based on changes in your SeaTable bases, and manipulate data without manual intervention. Think of it as connecting your spreadsheets' data to the wider web.

Connect SeaTable#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    seatable: {
      type: "app",
      app: "seatable",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://cloud.seatable.io/api2/account/info/`,
      headers: {
        Authorization: `Bearer ${this.seatable.$auth.account_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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