nocodb

Free & open source Airtable alternative

Integrate the nocodb API with the Python API

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

Run Python Code with Python API on New Record in Table from nocodb API
nocodb + Python
 
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Run Python Code with Python API on New Update in Table from nocodb API
nocodb + Python
 
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New Record in Table from the nocodb API

Emit new event for each new record in table. See docs here

 
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New Update in Table from the nocodb API

Emit new event for each update in table. See docs here

 
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Add Record with the nocodb API

This action adds a record in a table. See the 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 Record with the nocodb API

This action deletes a row in a table. See the docs here

 
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Get Record (from row number) with the nocodb API

This action gets a row by row Id. See the docs here

 
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List Records in Table Matching Criteria with the nocodb API

This action lists all rows in a table. See the docs here

 
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Overview of nocodb

NoCodeDB offers a powerful API that allows you to build compelling web and
mobile applications without writing code. With this API, you can create robust
applications that interact with millions of users, securely store data, and
build integrations with other services. Here’s a short list of some of the
things you can do with NoCodeDB:

  • Create real-time web applications by connecting to your users via WebSockets
  • Securely store and manage data for user accounts and settings
  • Create custom APIs to extend your applications
  • Create integrations with third-party services such as Stripe, Salesforce,
    Google Drive, and Dropbox
  • Deploy on serverless infrastructure to ensure fast and reliable results
  • Create custom data models to define relationships between data
  • Create custom queries to access data in powerful ways
  • Automate tasks with serverless functions
  • Monitor application performance and security with detailed analysis
  • Extend existing applications with custom data and logic
  • Utilize modern data practices such as GraphQL and cloud storage
  • Create secure and fully compliant serverless environments
  • And more!

Connect nocodb

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    nocodb: {
      type: "app",
      app: "nocodb",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.nocodb.$auth.domain}/user/me`,
      headers: {
        "accept": `application/json`,
        "xc-auth": `${this.nocodb.$auth.api_key}`,
      },
    })
  },
})

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}}