Integrate the Trengo API with the Python API

You can build amazing customer service experiences by using the Trengo API.
It's the platform to help teams work better together, and offers features to
optimize your customer conversation. For example, you can use Trengo to:

Improve customer service by leveraging automation for fast and personalized
responses
Increase efficiency by optimizing operational workflows
Gather insights from customer conversations to improve customer service
Automate conversations like welcome messages and error notifications
Filter and manage incoming conversations to make sure the right person
provides the right answers

These are just some of the examples of what you can do with the Trengo API.
With the Trengo platform, you can make sure your customer conversations deliver
the best possible outcomes, consistently.

Connect Trengo#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    trengo: {
      type: "app",
      app: "trengo",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.trengo.eu/api/v2/users`,
      headers: {
        Authorization: `Bearer ${this.trengo.$auth.access_token}`,
      },
    })
  },
})

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}}