with Crisp and Cloudflare R2?
The Crisp API allows you to tap into the capabilities of the Crisp Chat platform, which includes managing conversations, updating user information, and handling various customer support interactions programmatically. With Pipedream's integration, you can create bespoke workflows that automate actions based on events in Crisp or connect Crisp with other services to streamline customer engagement and support processes. These automations can help in managing leads, providing real-time support notifications, syncing customer data across platforms, and more.
import Crisp from 'crisp-api';
export default defineComponent({
props: {
crisp: {
type: "app",
app: "crisp",
}
},
async run({steps, $}) {
const client = new Crisp();
client.authenticateTier("plugin", this.crisp.$auth.identifier, this.crisp.$auth.key);
return await client.website.listConversations(this.crisp.$auth.website_id, 1)
},
})
The Cloudflare R2 API lets you interact with Cloudflare's object storage service, providing a cost-effective way to store large amounts of data with no egress fees. On Pipedream, you can harness this API to build automated workflows that can store, retrieve, and manage data within your R2 buckets. By combining Cloudflare R2 with Pipedream’s capabilities, you can create serverless workflows that trigger on various events, process data in-flight, and integrate with over 800+ apps available on the platform.
import { S3 } from "@aws-sdk/client-s3";
import { ListBucketsCommand } from "@aws-sdk/client-s3";
export default defineComponent({
props: {
cloudflare_r2: {
type: "app",
app: "cloudflare_r2",
}
},
async run({ steps, $ }) {
const cloudflare_r2 = {
account_id: this.cloudflare_r2.$auth.account_id
};
const s3Client = new S3({
forcePathStyle: false,
endpoint: `https://${cloudflare_r2.account_id}.r2.cloudflarestorage.com`,
region: "auto",
credentials: {
accessKeyId: this.cloudflare_r2.$auth.access_key_id,
secretAccessKey: this.cloudflare_r2.$auth.access_key_secret
}
});
const data = await s3Client.send(new ListBucketsCommand({}));
return data.Buckets;
}
}
)