with Databricks and PDF.co?
Retrieve the output and metadata of a single task run. See the documentation
Convert CSV, XLS, XLSX, DOC, DOCX, RTF, TXT, XPS, JPG, PNG, TIFF, URL, EMAIL to PDF. See docs here
Run a job now and return the id of the triggered run. See the documentation
The Databricks API allows you to interact programmatically with Databricks services, enabling you to manage clusters, jobs, notebooks, and other resources within Databricks environments. Through Pipedream, you can leverage these APIs to create powerful automations and integrate with other apps for enhanced data processing, transformation, and analytics workflows. This unlocks possibilities like automating cluster management, dynamically running jobs based on external triggers, and orchestrating complex data pipelines with ease.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
databricks: {
type: "app",
app: "databricks",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.databricks.$auth.domain}.cloud.databricks.com/api/2.0/preview/scim/v2/Me`,
headers: {
Authorization: `Bearer ${this.databricks.$auth.access_token}`,
},
})
},
})
PDF.co API on Pipedream opens up opportunities for automating document handling tasks. You can create PDFs from scratch, merge multiple documents, extract text or data, convert PDFs to different formats, and even perform complex operations like filling out forms programmatically. With Pipedream's serverless platform, these capabilities can be integrated into workflows that respond to events, schedule tasks, or trigger on specific conditions, streamlining processes that involve PDF manipulation.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pdf_co: {
type: "app",
app: "pdf_co",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.pdf.co/v1/account/credit/balance`,
headers: {
"x-api-key": `${this.pdf_co.$auth.api_key}`,
},
})
},
})