Coda

A doc as powerful as an app.

Integrate the Coda API with the Python API

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

Copy Doc with the Coda API

Creates a copy of the specified doc. See docs

 
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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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Create Doc with the Coda API

Creates a new doc. See docs

 
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Create Rows with the Coda API

Insert a row in a selected table. See docs

 
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Find Row with the Coda API

Searches for a row in the selected table using a column match search. See docs

 
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Overview of Coda

With the Coda API, you can build:

  • A list of all the docs you have access to
  • A table of contents for a doc
  • A specific page from a doc
  • A list of all the action items in a doc
  • A list of all the people who have access to a doc
  • A list of all the docs a specific person has access to
  • A list of all the changes made to a doc

Connect Coda

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    coda: {
      type: "app",
      app: "coda",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://coda.io/apis/v1/whoami`,
      headers: {
        Authorization: `Bearer ${this.coda.$auth.api_token}`,
        "Content-Type": `application/json`,
      },
    })
  },
})

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}}