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.

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
Try it

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

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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

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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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo