Salestown

Our Business is to grow your business. We are 360 degree lead management system company in India

Integrate the Salestown API with the Python API

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

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 Salestown

The Salestown API enables automation around retail management, allowing you to streamline inventory, sales, and customer data processes. By leveraging Pipedream's serverless platform, you can create workflows that respond to events in Salestown in real-time, connect to hundreds of other services, and process data without managing servers. Use cases may range from syncing inventory levels with an eCommerce store to automating customer outreach after a purchase.

Connect Salestown

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    salestown: {
      type: "app",
      app: "salestown",
    }
  },
  async run({steps, $}) {
    const data = {
      "organization": `Api Directories`,
      "address": `Lone Av. 100`,
    }
    return await axios($, {
      method: "post",
      url: `http://api.salestown.in/v1/web/add/organization/${this.salestown.$auth.api_key}`,
      data,
    })
  },
})

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}}