Airtable is a low-code platform to build next-gen apps. Move beyond rigid tools, operationalize your critical data, and reimagine workflows with AI.
Emit new event each time a record is added, updated, or deleted in an Airtable table. See the documentation
Emit new event for each new or modified record in a table
Emit new event for each new or modified record in a view
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Create one or more records in a table by passing an array of objects containing field names and values as key/value pairs. See the documentation
Airtable (OAuth) API on Pipedream allows you to manipulate and leverage your Airtable data in a myriad of powerful ways. Sync data between Airtable and other apps, trigger workflows on updates, or process bulk data operations asynchronously. By using Airtable's structured databases with Pipedream's serverless platform, you can craft custom automation solutions, integrate with other services seamlessly, and streamline complex data processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
airtable_oauth: {
type: "app",
app: "airtable_oauth",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.airtable.com/v0/meta/whoami`,
headers: {
Authorization: `Bearer ${this.airtable_oauth.$auth.oauth_access_token}`,
},
})
},
})
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}}