with DataSet and GitHub?
Find issues and pull requests by state and keyword. See the documentation
Allows you to add a new gist with one or more files. See the documentation
The DataSet API enables you to manage and analyze large datasets. With Pipedream's integration, you can automate data ingestion, transformation, and analysis, create serverless workflows that respond to data events, and connect with other apps to enrich and utilize your datasets. Utilize Pipedream's serverless platform to trigger workflows, perform actions based on DataSet events, and orchestrate complex data processes with minimal setup.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
dataset: {
type: "app",
app: "dataset",
}
},
async run({steps, $}) {
const data = {
"token": `${this.dataset.$auth.access_key}`,
}
return await axios($, {
method: "post",
url: `https://app.scalyr.com/api/listUsers`,
headers: {
"Content-Type": `application/json`,
},
data,
})
},
})
The GitHub API is a powerful gateway to interaction with GitHub's vast web of data and services, offering a suite of endpoints to manipulate and retrieve information on repositories, pull requests, issues, and more. Harnessing this API on Pipedream, you can orchestrate automated workflows that respond to events in real-time, manage repository data, streamline collaborative processes, and connect GitHub with other services for a more integrated development lifecycle.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
github: {
type: "app",
app: "github",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.github.com/user`,
headers: {
Authorization: `Bearer ${this.github.$auth.oauth_access_token}`,
"X-GitHub-Api-Version": `2022-11-28`,
},
})
},
})