with Confluent and Pinterest?
Emit new events when new pins are created on a board or board section. See the docs here and here
The Confluent API provides programmatic interaction with Confluent Cloud, a fully managed Kafka service. It lets you manage Kafka clusters, topics, users, and configurations, enabling seamless integration and data streaming capabilities. With Pipedream, you can create workflows that automate interactions with your Kafka infrastructure, such as triggering events on message arrival, managing topics, or integrating Kafka data with other services.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
confluent: {
type: "app",
app: "confluent",
}
},
async run({steps, $}) {
const data = {
"topic_name": `pipedream-test`,
}
return await axios($, {
method: "post",
url: `https://${this.confluent.$auth.rest_endpoint_url}/kafka/v3/clusters/${this.confluent.$auth.cluster_id}/topics`,
headers: {
"Content-Type": `application/json`,
},
auth: {
username: `${this.confluent.$auth.api_key}`,
password: `${this.confluent.$auth.api_secret}`,
},
data,
})
},
})
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}`,
},
})
},
})