Integrate the V7 Go API with the Python API

Setup the V7 Go API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate V7 Go and Python remarkably fast. Free for developers.

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Popular Ways to Connect V7 Go with Python#

Run Python Code with Python API on New Complete Entity (Instant) from V7 Go API

V7 Go + Python

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Run Python Code with Python API on New Entity Created (Instant) from V7 Go API

V7 Go + Python

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Run Python Code with Python API on New Field Completion (Instant) from V7 Go API

V7 Go + Python

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Popular V7 Go and Python Triggers#

New Complete Entity (Instant) from the V7 Go API

Emit new event when all fields of an entity are completed in V7 Go.

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New Entity Created (Instant) from the V7 Go API

Emit new event when an entity is created.

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New Field Completion (Instant) from the V7 Go API

Emit new event when a field within an entity is completed in V7 Go.

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Popular V7 Go and Python Actions#

Create Entity with the V7 Go API

Triggers the creation of a new entity. 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 Project with the V7 Go API

Initiates the creation of a new project with a unique project identifier. See the documentation

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Update Entity with the V7 Go API

Executes an update on an existing entity. See the documentation

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Connect V7 Go#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    v7_go: {
      type: "app",
      app: "v7_go",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://go.v7labs.com/api/workspaces/${this.v7_go.$auth.workspace_id}/members`,
      headers: {
        "X-API-KEY": `${this.v7_go.$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#

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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