What do you want to automate
with nocodb and Python?
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Popular nocodb and Python Triggers#
Emit new event for each new record in table. See the documentation
Emit new event for each new record in a view. See the documentation
Emit new event for each update in table. See the documentation
Popular nocodb and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
This action gets a row by row Id. See the documentation
This action lists all rows in a table. See the documentation
Overview of nocodb#
The NoCodeB (NocoDB) API transforms your databases into a smart Excel sheet, providing a platform for managing your data with the ease of a spreadsheet interface. When combined with Pipedream's capabilities, this API allows you to automate data operations, sync with other databases or apps, and streamline workflows without writing complex code. Using Pipedream, you can trigger events based on changes in your NocoDB, process and manipulate the data, and connect to countless apps to extend functionality, such as sending notifications, updating CRMs, or generating reports.
Connect nocodb#
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}/api/v1/db/meta/nocodb/info`,
headers: {
"accept": `application/json`,
"xc-token": `${this.nocodb.$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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies