Python
Anything you can do in Python can be done in a Pipedream Workflow. This includes using any of the 350,000+ PyPi packages available in your Python powered workflows.
Integrate the Python API with the Airtable API
Setup the Python API trigger to run a workflow which integrates with the Airtable API. Pipedream's integration platform allows you to integrate Python and Airtable remarkably fast. Free for developers.
Popular Ways to Connect Python with Airtable#
Popular Python and Airtable Triggers#
Emit an event for each new or modified record in a table
Emit an event for each new or modified record in a view
Emits an event each time a record is added, updated, or deleted in an Airtable table. Supports tables up to 10,000 records
Popular Python and Airtable Actions#
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.
Retrieve records from a table with automatic pagination. Optionally sort and filter results.
Retrieve records in a view with automatic pagination. Optionally sort and filter results.
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#
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}}Overview of Airtable#
Using the Airtable API, you can build applications that can:
- Create and manage databases
- Add, update, and delete records
- Search for records
- Sort and filter records
- Display records in a variety of ways
- Import and export data
Connect Airtable#
module.exports = defineComponent({
props: {
airtable: {
type: "app",
app: "airtable",
},
baseId: {
type: "$.airtable.baseId",
appProp: "airtable",
},
tableId: {
type: "$.airtable.tableId",
baseIdProp: "baseId",
},
},
async run({steps, $}) {
const Airtable = require('airtable');
const base = new Airtable({apiKey: this.airtable.$auth.api_key}).base(this.baseId);
const data = []
await base(this.tableId).select({
// pass optional config parameters here
}).eachPage(function page(records, fetchNextPage) {
// This function (`page`) will get called for each page of records.
records.forEach(function(record) {
data.push(record._rawJson)
});
// To fetch the next page of records, call `fetchNextPage`.
// If there are more records, `page` will get called again.
// If there are no more records, `done` will get called.
fetchNextPage();
})
return data
},
})
Community Posts#
