Interseller

Outbound automation platform

Integrate the Interseller API with the Python API

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

Run Python Code with Python API on New Contact from Interseller API
Interseller + Python
 
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Run Python Code with Python API on New Contact Replied from Interseller API
Interseller + Python
 
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New Contact from the Interseller API

Emit new event when a new contact is created in Interseller.

 
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New Contact Replied from the Interseller API

Emit new event when a contact is replied.

 
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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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Set Contact Replied with the Interseller API

Update an existing contact to indicate as contacted. See the documentation

 
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Update Contact with the Interseller API

Update an existing contact. See the documentation

 
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Overview of Interseller

The Interseller API provides the power to streamline recruitment and sales processes by automating outreach and follow-ups. With Pipedream, you can leverage this API to create workflows that trigger based on specific criteria such as new candidate profiles or responses to outreach emails. These workflows can enrich lead data, sync information across platforms, or update your team with real-time notifications, reducing manual tasks and enhancing productivity.

Connect Interseller

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    interseller: {
      type: "app",
      app: "interseller",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `http://interseller.io/api/team/users`,
      headers: {
        "X-API-Key": `${this.interseller.$auth.api_key}`,
      },
    })
  },
})

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}}