with Browse AI and Frame.io?
Emits an event when a Browse AI task is completed. See the documentation
Emit new event when a task finishes with an error. See the documentation
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
Runs a robot on-demand with custom input parameters. 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 Browse AI API enables the automation of data extraction from websites, turning web pages into organized data. It's built for non-coders and coders alike, allowing for custom web scraping and monitoring tasks. Within Pipedream, you can harness Browse AI to create intricate workflows that trigger actions in other apps based on the data you extract. Think of automated competitive analysis, price tracking, or content changes detection, all streamlined through Pipedream's serverless platform.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
browse_ai: {
type: "app",
app: "browse_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.browse.ai/v2/robots`,
headers: {
Authorization: `Bearer ${this.browse_ai.$auth.api_key}`,
},
})
},
})
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}`,
},
})
},
})