AI-powered video creations at scale
Emit new event when a specific avatar video event occurs. The user can define a custom set of event(s) to trigger. See the documentation
Emit new event when a Heygen video fails during processing. See the documentation
Emit new event when a new avatar video has been successfully generated. See the documentation
Creates a talking photo from a provided image. See the documentation
Create a new document in a collection of your choice. See the docs here
Generates a video from a selected template. See the documentation
Execute an aggregation pipeline on a MongoDB collection. See the documentation
The HeyGen API offers tools for generating visual content, such as social media posts, banners, and other graphics programmatically. Integrating this API with Pipedream allows you to automate the creation and distribution of visual assets based on various triggers and data sources. For example, you can generate new images when a new product is added to your inventory, create customized social media posts from RSS feed items, or even automate weekly visual reports.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
heygen: {
type: "app",
app: "heygen",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.heygen.com/v2/avatars`,
headers: {
"X-Api-Key": `${this.heygen.$auth.api_token}`,
},
})
},
})
The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.
import mongodb from 'mongodb'
export default defineComponent({
props: {
mongodb: {
type: "app",
app: "mongodb",
},
collection: {
type: "string"
},
filter: {
type: "object"
}
},
async run({steps, $}) {
const MongoClient = mongodb.MongoClient
const {
database,
hostname,
username,
password,
} = this.mongodb.$auth
const url = `mongodb+srv://${username}:${password}@${hostname}/test?retryWrites=true&w=majority`
const client = await MongoClient.connect(url, {
useNewUrlParser: true,
useUnifiedTopology: true
})
const db = client.db(database)
const results = await db.collection(this.collection).find(this.filter).toArray();
$.export('results', results);
await client.close()
},
})