Accelo

Automating Professional Service Operations

Integrate the Accelo API with the Python API

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

Run Python Code with Python API on New Request Created (Instant) from Accelo API
Accelo + Python
 
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Run Python Code with Python API on New Task Assigned (Instant) from Accelo API
Accelo + Python
 
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New Request Created (Instant) from the Accelo API

Emit new event on each new request created.

 
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New Task Assigned (Instant) from the Accelo API

Emit new event on each new task assigned.

 
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Create Contact with the Accelo API

Creates a contact. See docs here

 
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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 Prospect with the Accelo API

Creates a prospect. See docs here

 
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Create Request with the Accelo API

Creates a request. See docs here

 
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Update Contact with the Accelo API

Updates a contact. See docs here

 
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Overview of Accelo

Accelo's API provides a gateway to streamline professional service operations, offering endpoints that manage projects, tickets, sales, and more. With Pipedream, you can harness this API to automate routine tasks, sync data across platforms, and trigger custom workflows. Accelo's API lets you manipulate client data, automate service processes, and integrate with other tools for a seamless business ecosystem.

Connect Accelo

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    accelo: {
      type: "app",
      app: "accelo",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.accelo.$auth.hostname}.api.accelo.com/api/v0/user`,
      headers: {
        Authorization: `Bearer ${this.accelo.$auth.oauth_access_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}}