With Google AppSheet, you can build powerful solutions that simplify work. No coding required.
Adds a new row to a specific table in the AppSheet app. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Deletes a specific row from a table in the AppSheet app. See the documentation
Read existing records in a table in the AppSheet app. See the documentation
Updates an existing row in a specific table in the AppSheet app. See the documentation
The Google Appsheet API enables programmatic interactions with your custom AppSheet applications, allowing you to streamline processes, automate actions, and interlink your apps with other services. Leveraging Pipedream's powerful serverless platform, you can create workflows that react to events in real-time, automate tasks, and connect to countless other services with minimal effort. Whether you're updating datasets, syncing with external systems, or triggering complex chains of actions, combining AppSheet with Pipedream can supercharge your productivity and enhance your app's capabilities.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_appsheet: {
type: "app",
app: "google_appsheet",
}
},
async run({steps, $}) {
const data = {
"Action": "Find",
"Properties": `{
"Locale": "en-US",
"Selector": "Filter(Sheet1, true)",
"Timezone":
"Pacific Standard Time"
}`,
}
return await axios($, {
method: "post",
url: `https://api.appsheet.com/api/v2/apps/${this.google_appsheet.$auth.app_id}/tables/{{your_table_here}}/Action`,
headers: {
"ApplicationAccessKey": `${this.google_appsheet.$auth.access_key}`,
},
data,
})
},
})
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:
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}}