Foursquare

Independent location data platform

Integrate the Foursquare API with the Python API

Setup the Foursquare API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Foursquare 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 Foursquare

The Foursquare API empowers developers to tap into rich data about venues, user check-ins, and location-based experiences. On Pipedream, you can harness this API to automate tasks such as fetching venue recommendations based on user preferences, keeping a log of customer visits to your business, or integrating location insights into your CRM. Combining Foursquare data with other services on Pipedream allows you to create powerful, location-aware business solutions without the heavy lifting of manual data handling.

Connect Foursquare

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    foursquare: {
      type: "app",
      app: "foursquare",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.foursquare.com/v2/users/self`,
      headers: {
        Authorization: `Bearer ${this.foursquare.$auth.oauth_access_token}`,
      },
      params: {
        oauth_token: `${this.foursquare.$auth.oauth_access_token}`,
        "v": `20191001`,
      },
    })
  },
})

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}}