Integrate the Retable API with the Python API

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

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Popular Retable and Python Actions#

Add Record with the Retable API

Add a new record in Retable. 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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Update Record with the Retable API

Update an existing record in Retable. See the documentation

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Overview of Retable#

The Retable API enables you to interact with your Retable data programmatically, allowing for seamless integration of your tables within your apps or workflows. With Pipedream, you can harness this capability to automate tasks, sync data across platforms, or trigger actions based on changes in your tables. Pipedream’s low-code platform provides the tools to create powerful serverless workflows using Retable API, without the need for extensive coding knowledge.

Connect Retable#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    retable: {
      type: "app",
      app: "retable",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.retable.io/v1/public/workspace`,
      headers: {
        "ApiKey": `${this.retable.$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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