SproutGigs

Where the world works! We're an online marketplace that connects freelancers and business owners around the world.

Integrate the SproutGigs API with the Python API

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

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.

 
Try it

Overview of SproutGigs

The SproutGigs API enables you to access and manage micro-jobs and tasks within their platform. Through Pipedream, you can interact with this API to automate your gig economy interactions, like posting jobs, analyzing submitted work, or auto-approving tasks. By leveraging Pipedream's capabilities, you can trigger workflows with events from other apps, process data, and connect with countless other services to enhance your gig management processes.

Connect SproutGigs

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sproutgigs: {
      type: "app",
      app: "sproutgigs",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://sproutgigs.com/api/users/get-balances.php`,
      headers: {
        "Content-Type": `application/json`,
      },
      auth: {
        username: `${this.sproutgigs.$auth.user_id}`,
        password: `${this.sproutgigs.$auth.api_secret}`,
      },
    })
  },
})

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}}