Bandwidth
Enterprise Grade Voice, Messaging, and 911 Access
Integrate the Bandwidth API with the Python API
Setup the Bandwidth API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Bandwidth and Python remarkably fast. Free for developers.
Popular Bandwidth and Python Triggers#
Emits an event each time a message-received event is received at the source url
Emits an event each time an outbound message status event is received at the source url
Emits an event each time an outbound message status event is received at the source url
Popular Bandwidth and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Bandwidth#
With the Bandwidth API, you can build a variety of applications and tools for
managing your communication needs. Here are a few examples of what you can
build:
- A tool for monitoring your bandwidth usage
- A tool for managing your contact lists
- A tool for sending and receiving text messages
- A tool for making and receiving phone calls
- A tool for recording and storing call data
Connect Bandwidth#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bandwidth: {
type: "app",
app: "bandwidth",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://dashboard.bandwidth.com/api/accounts/${this.bandwidth.$auth.accountId}/applications`,
auth: {
username: `${this.bandwidth.$auth.username}`,
password: `${this.bandwidth.$auth.password}`,
},
})
},
})
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}}