Harvest

Online Time Tracking and Invoicing Software

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.

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 Time 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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New Invoice Entry from the Harvest API

Emit new notifications when a new invoice is created

 
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New Time Entry from the Harvest API

Emit new notifications when a new time entry 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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Create Timesheet Entry with the Harvest API
 
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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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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

The Harvest API allows developers to programmatically access data and objects
in Harvest, a web-based time tracking application. With the API, developers can
create applications that submit and retrieve time tracking data, as well as
automate various aspects of the Harvest user experience.

Some examples of what you can build using the Harvest API include:

  • A time tracking application that automatically submits time tracking data to
    Harvest on behalf of the user
  • A reporting application that retrieves time tracking data from Harvest and
    presents it in various charts and graphs
  • An integration with a third-party project management application that pulls
    in time tracking data from Harvest to provide a more complete picture of
    project progress

Connect Harvest

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

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

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}}