with Async Interview and Frame.io?
Emit new event when a new interview response is received.
Emit new event when an asset is uploaded. See the documentation
Emit new event when a new comment is left on an asset. See the documentation
Emit new event when a new project is created. See the documentation
Emit new event when a new project is created. See the documentation
Creates a new comment on an asset in Frame.io. See the documentation
Performs advanced searching for assets in Frame.io. See the documentation
The Async Interview API enables automation around video interview processes. With this API, you can craft workflows on Pipedream that manipulate interview data, initiate new interviews, and respond to events within the Async Interview platform. Pipedream's serverless architecture allows you to connect with hundreds of apps to streamline recruitment workflows, analyze interview data, or enhance the candidate experience with personalized interactions.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
async_interview: {
type: "app",
app: "async_interview",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.asyncinterview.ai/api/jobs`,
headers: {
Authorization: `Bearer ${this.async_interview.$auth.api_token}`,
},
})
},
})
The Frame.io API hooks into their robust video collaboration platform, enabling automated workflows around video reviews, project updates, and asset management. With the API, you can programmatically interact with comments, accounts, projects, and more—perfect for integrating with other tools to streamline video production pipelines.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
frame: {
type: "app",
app: "frame",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.frame.io/v2/accounts`,
headers: {
Authorization: `Bearer ${this.frame.$auth.oauth_access_token}`,
},
})
},
})