Integrate the Chaser API with the Python API

Setup the Chaser API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Chaser and Python remarkably fast. Free for developers.

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Popular Chaser and Python Actions#

Create Customer with the Chaser API

Creates a new customer in Chaser. See the documentation

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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.

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Create Invoice with the Chaser API

Creates a new invoice in Chaser. See the documentation

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Overview of Chaser#

The Chaser API enables users to automate their accounts receivable process efficiently, making it possible to manage and follow up on invoices programmatically. By integrating Chaser with Pipedream, users can automate invoice reminders, synchronize financial data with other business applications, and generate detailed accounts receivable reports. These capabilities help businesses improve their cash flow and minimize the time spent on manual follow-ups.

Connect Chaser#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    chaser: {
      type: "app",
      app: "chaser",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.chaser.$auth.host}/v1/organisations`,
      auth: {
        username: `${this.chaser.$auth.key}`,
        password: `${this.chaser.$auth.secret}`,
      },
    })
  },
})

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}}

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