Integrate the Harvest API with the Python API

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

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Popular Ways to Connect Harvest with Python#

Run Python Code with Python API on New Invoice Entry from Harvest API

Harvest + Python

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Run Python Code with Python API on New Timesheet Entry from Harvest API

Harvest + Python

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Popular Harvest and Python Triggers#

New Invoice Entry from the Harvest API

Emit new notifications when a new invoice is created

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New Timesheet Entry from the Harvest API

Emit new notifications when a new timesheet entry is created

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Popular Harvest and Python Actions#

Create Timesheet Entry with the Harvest API

Creates a new time entry object. Create a time entry via duration documentation, Create a time entry via start and end time 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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Get Projects with the Harvest API

Retrieve data for a project or projects. See docs here

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Start Time Entry with the Harvest API

Restart a stopped timer entry. See docs here

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Stop Time Entry with the Harvest API

Stop a timer entry. See docs here

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Overview of Harvest#

Harvest is a time tracking and invoicing tool that can streamline the way freelancers and businesses record time for various projects and tasks. By leveraging the Harvest API on Pipedream, you can automate complex workflows that integrate time tracking data with other business tools. Generate reports, sync project data, and manage invoices with minimal manual intervention. Pipedream's serverless platform lets you create these automations using simple, code-driven components, enabling a seamless connection between Harvest and a multitude of other apps.

Connect Harvest#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    harvest: {
      type: "app",
      app: "harvest",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://id.getharvest.com/api/v2/accounts`,
      headers: {
        Authorization: `Bearer ${this.harvest.$auth.oauth_access_token}`,
        "User-Agent": `Pipedream (pipedream.com)`,
      },
    })
  },
})

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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