with Pitchlane and Pipedream Utils?
Emit new event when a video is created in Pitchlane. See the documentation
Emit new event when a video is first viewed in Pitchlane. See the documentation
Emit new event when a video is rendered in Pitchlane. See the documentation
Creates a new video for a campaign. See the documentation
Get memory usage statistics for the current Pipedream workflow.
Retrieve the variable schema and lead schema mapping for a specific campaign. See the documentation
Convert an object to a JSON format string
The Pitchlane API enables users to automate and integrate media planning and buying processes. This API can streamline the creation, management, and optimization of advertising campaigns across various channels. By utilizing Pitchlane within Pipedream, users can connect their media planning tools with other business systems (like CRM, analytics, or communication platforms), automate repetitive tasks, and orchestrate complex workflows that respond to real-time data changes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pitchlane: {
type: "app",
app: "pitchlane",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.pitchlane.com/api/public/v1/campaigns`,
headers: {
"accept": `application/json`,
"X-API-Key": `${this.pitchlane.$auth.api_key}`,
},
})
},
})
The Pipedream Utils app is a set of pre-built functions that streamline common tasks in your workflows. It acts like a Swiss Army knife for developers, providing essential tools such as format conversion, date manipulation, and text processing. By leveraging these functions, you can reduce the boilerplate code needed for routine operations, speeding up the development of intricate automations. The Helper Functions API can be a game changer when it comes to tasks like parsing dates in user-friendly formats, encoding and decoding data, or generating UUIDs, making them more efficient and less error-prone.
export default defineComponent({
props: {
pipedream_utils: {
type: "app",
app: "pipedream_utils",
}
},
async run({steps, $}) {
},
})