with Big Data Cloud and Pinterest?
Emit new events when new pins are created on a board or board section. See the docs here and here
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 Pinterest API opens a portal to interact programmatically with Pinterest's rich data, including boards, pins, and user information. By leveraging this API on Pipedream, you can automate actions like posting new pins, extracting pin data for analysis, and synchronizing Pinterest content with other platforms. The potential extends to marketing optimization, content management, and audience engagement, all automated and integrated within the Pipedream ecosystem.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pinterest: {
type: "app",
app: "pinterest",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.pinterest.com/v5/user_account`,
headers: {
Authorization: `Bearer ${this.pinterest.$auth.oauth_access_token}`,
},
})
},
})