with Vext and Pinterest?
Emit new events when new pins are created on a board or board section. See the docs here and here
The Vext API lets you automate interactions with the Vext application, which is designed for versatile text transformations, parsing, and encoding. On Pipedream, you can craft serverless workflows that utilize Vext API to process and manipulate text data on-the-fly, without the need for manual intervention. Imagine automating complex text parsing tasks, encoding/decoding data in various formats, or even integrating with other services to enhance data processing pipelines.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
vext: {
type: "app",
app: "vext",
}
},
async run({steps, $}) {
const data = {
"payload": `Hello`,
}
return await axios($, {
method: "post",
url: `https://payload.vextapp.com/hook/${this.vext.$auth.endpoint_id}/catch/123`,
headers: {
"Content-Type": `application/json`,
"Apikey": `Api-key ${this.vext.$auth.api_key}`,
},
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}`,
},
})
},
})