with Big Data Cloud and Fitbit?
Retrieve time zone data for a specified location. See the documentation
Obtain a user's location data based on their IP address. See the documentation
Convert a user's coordinates to a human-readable address. See the documentation
The Big Data Cloud API provides a suite of RESTful APIs for IP geolocation and various other data services that can enrich your applications with valuable insights. On Pipedream, you can integrate these APIs into serverless workflows to automate data collection, analysis, and decision-making processes. Whether you're looking to enhance user experience with location-based content, validate user data, or perform any number of data-enrichment tasks, Big Data Cloud can be a go-to resource within your Pipedream workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
big_data_cloud: {
type: "app",
app: "big_data_cloud",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api-bdc.net/data/country-by-ip`,
params: {
key: `${this.big_data_cloud.$auth.api_key}`,
},
})
},
})
The Fitbit API offers a window into the rich data from Fitbit devices and user profiles, allowing you to access metrics such as step count, sleep quality, heart rate, and more. With these insights, you can create personalized health dashboards, automate fitness challenges, synchronize health data with other apps, or even build custom notifications for user activity milestones.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
fitbit: {
type: "app",
app: "fitbit",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.fitbit.com/1/user/-/profile.json`,
headers: {
Authorization: `Bearer ${this.fitbit.$auth.oauth_access_token}`,
},
})
},
})