with Neo4j AuraDB and Twitch?
Emit new event when a new node is created in the Neo4j AuraDB instance.
Emit new event when a new relationship is created between nodes in the Neo4j AuraDB instance.
Emit new event when there is a new clip for the specified streamer.
Creates a new node in the Neo4j AuraDB instance. See the documentation
Blocks a user; that is, adds a specified target user to your blocks list
Creates a relationship between two existing nodes. See the documentation
Checks if you are subscribed to the specified user's channel
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
neo4j_auradb: {
type: "app",
app: "neo4j_auradb",
}
},
async run({steps, $}) {
const data = {
"statement": `RETURN date() AS currentDate, datetime() AS currentDateTime`,
}
return await axios($, {
method: "post",
url: `${this.neo4j_auradb.$auth.api_url}`,
auth: {
username: `${this.neo4j_auradb.$auth.username}`,
password: `${this.neo4j_auradb.$auth.password}`,
},
data,
})
},
})
The Twitch API unlocks a world of possibilities for engaging with live streaming communities and understanding audience behaviors. With Pipedream, you can harness this API to automate many aspects of Twitch interaction and analysis. From tracking stream stats to automating chat messages, the Twitch API lets you create workflows that interact with Twitch's vast live streaming ecosystem. Pipedream's serverless platform streamlines these tasks, making it simple to connect Twitch with other services for enhanced functionalities.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
twitch: {
type: "app",
app: "twitch",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.twitch.tv/helix/users`,
headers: {
Authorization: `Bearer ${this.twitch.$auth.oauth_access_token}`,
"Client-ID": `${this.twitch.$auth.oauth_client_id}`,
},
})
},
})