with Nyckel and Pinterest?
Emit new events when new pins are created on a board or board section. See the docs here and here
Classifies image data based on pre-trained classifiers in Nyckel. See the documentation
Classifies text data based on pre-trained classifiers in Nyckel. See the documentation
The Nyckel API offers machine learning capabilities, enabling you to add custom image and text classification to your applications without needing a data science background. With Nyckel, you can train models, make predictions, and refine your model iteratively as new data comes in. On Pipedream, you can integrate Nyckel to automate various tasks such as processing images uploaded to cloud storage, categorizing customer support tickets, or augmenting content moderation workflows. By harnessing the power of serverless on Pipedream, you can create efficient pipelines that respond in real-time to events, without managing infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
nyckel: {
type: "app",
app: "nyckel",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.nyckel.com/v1/functions`,
headers: {
Authorization: `Bearer ${this.nyckel.$auth.oauth_access_token}`,
},
})
},
})
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}`,
},
})
},
})