Re:amaze
Re:amaze is a helpdesk and customer communications platform, helping eCommerce businesses deliver better support experiences with tools designed to boost sales and engagement.
Integrate the Re:amaze API with the Python API
Setup the Re:amaze API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Re:amaze and Python remarkably fast. Free for developers.
Popular Re:amaze 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 Re:amaze#
Re:amaze is a customer service and engagement platform that combines email, social media, mobile, and live chat communication with customers into a single, integrated dashboard. Leveraging the Re:amaze API on Pipedream allows automating routine support tasks, syncing customer data across platforms, triggering event-based communications, and more. This API's functionality can streamline customer interactions, ensure timely responses, and enhance overall customer experience management.
Connect Re:amaze#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
re_amaze: {
type: "app",
app: "re_amaze",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.re_amaze.$auth.domain}.reamaze.io/api/v1/contacts`,
headers: {
"Accept": `application/json`,
},
auth: {
username: `${this.re_amaze.$auth.email}`,
password: `${this.re_amaze.$auth.api_token}`,
},
})
},
})
Overview of Python#
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:
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}}