Independent location data platform
Allows the user to generate a new check-in at a specific location on Foursquare. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Allows the user to create a new tip for a venue on Foursquare. See the documentation
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.
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`,
},
})
},
})
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:
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}}