Dropboard

The world’s easiest hiring platform.

Integrate the Dropboard API with the Python API

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

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Run Python Code with Python API on New Candidate Profile Created (Instant) from Dropboard API
Dropboard + Python
 
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Run Python Code with Python API on New Client Member (Instant) from Dropboard API
Dropboard + Python
 
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Run Python Code with Python API on New Job Created (Instant) from Dropboard API
Dropboard + Python
 
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New Candidate Profile Created (Instant) from the Dropboard API

Emit new event when a candidate profile is created.

 
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New Client Member (Instant) from the Dropboard API

Emit new event when a member is added to a recruiting client (recruiter plan only).

 
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New Job Created (Instant) from the Dropboard API

Emit new event when a new job is created.

 
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Create Client with the Dropboard API

Creates a new client within Dropboard. Note this is available only for recruiter plan users and may incur additional charges based on your organization's plan. 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 Job with the Dropboard API

Creates a new job within Dropboard. See the documentation

 
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Find or Create Client with the Dropboard API

Looks for a client within Dropboard. If not found, it will create a new one. See the documentation

 
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Overview of Dropboard

The Dropboard API enables management and optimization of shipping logistics, providing functionality to monitor shipments, manage inventory, and handle orders efficiently. With this API, Pipedream users can automate various aspects of logistics and supply chain operations, enhancing real-time decision-making and operational efficiency.

Connect Dropboard

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dropboard: {
      type: "app",
      app: "dropboard",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.dropboardhq.com/2024-02/me`,
      headers: {
        Authorization: `Bearer ${this.dropboard.$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}}

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