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with Webflow and Databricks?
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Popular Webflow and Databricks Triggers#
Emit new event when a form is submitted. See the documentation
Emit new event when a collection item is created. See the documentation
Emit new event when a collection item is deleted. See the documentation
Emit new event when a collection item is changed. See the documentation
Emit new event when an e-commerce inventory level changes. See the documentation
Popular Webflow and Databricks Actions#
Retrieve the output and metadata of a single task run. See the documentation
Run a job now and return the id of the triggered run. See the documentation
Overview of Webflow#
The Webflow API empowers developers to programmatically interact with their Webflow site, enabling automation, data synchronization, and complex integrations with other apps and services. With Pipedream's serverless platform, you can harness this API to craft custom workflows that react to events, manage content dynamically, or extend the capabilities of your Webflow projects by linking them with a vast array of other applications.
You can connect your Webflow account in a few different ways:
- Directly within the workflow builder, from a trigger or an action step. Search for the Webflow app, and connect your account.
- From the Pipedream Accounts page: Go to Accounts > Connect an app > Search for "Webflow".
- Run the example Node JS code below by clicking "Connect Webflow and run", and choose a project and create an example workflow to interact with the Webflow API.
Connect Webflow#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
webflow: {
type: "app",
app: "webflow",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.webflow.com/v2/token/authorized_by`,
headers: {
Authorization: `Bearer ${this.webflow.$auth.oauth_access_token}`,
"accept-version": `1.0.0`,
},
})
},
})
Overview of Databricks#
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.
Connect Databricks#
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/clusters/list`,
headers: {
Authorization: `Bearer ${this.databricks.$auth.access_token}`,
},
})
},
})
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