with Kafka and Pinterest?
Emit new events when new pins are created on a board or board section. See the docs here and here
import { Kafka } from "kafkajs"
export default defineComponent({
props: {
kafka: {
type: "app",
app: "kafka",
}
},
async run({steps, $}) {
const kafka = new Kafka({
brokers: [`${this.kafka.$auth.host}:${this.kafka.$auth.port}`],
});
const consumer = kafka.consumer({ groupId: 'TestGroup' });
await consumer.connect()
await consumer.subscribe({ topic: 'SampleTopic', fromBeginning: true });
let consumedMessage = "";
const eachMessage = async function({ topic, partition, message }){
consumedMessage = message.value.toString();
return consumedMessage;
};
await consumer.run({
eachMessage,
});
const producer = kafka.producer();
await producer.connect()
await producer.send({
topic: 'SampleTopic',
messages: [
{ value: 'Welcome KafkaJS + Pipedream users! '+ new Date().toISOString() },
],
});
await producer.disconnect();
const data = await consumer.describeGroup();
return { consumedMessage, groupDescription: 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}`,
},
})
},
})