Grist
The evolution of spreadsheets.
Integrate the Grist API with the Python API
Setup the Grist API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Grist and Python remarkably fast. Free for developers.
Popular Grist and Python Triggers#
Emit new event once a record is updated or newly created in Grist. See the documentation
Emit new event when a record is just created. See the documentation
Popular Grist and Python Actions#
Add records in a specified table or updates existing matching records. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Grist#
Grist API on Pipedream enables you to automate data management tasks in your Grist documents. This might mean syncing data across different platforms, triggering notifications based on data changes, or processing data through custom logic. With Pipedream, you can use the Grist API to build workflows that react to events in real-time, connect to hundreds of other services, manipulate data in sophisticated ways, and create custom endpoints to integrate with your Grist data.
Connect Grist#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
grist: {
type: "app",
app: "grist",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://docs.getgrist.com/api/orgs`,
headers: {
Authorization: `Bearer ${this.grist.$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}}