What do you want to automate
with Webflow and BigML?
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Popular Webflow and BigML 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
Popular Webflow and BigML Actions#
Create a batch prediction given a Supervised Model ID and a Dataset ID. See the docs.
Create a model based on a given source ID, dataset ID, or model ID. See the docs.
Create a source with a provided remote URL that points to the data file that you want BigML to download for you. See the docs.
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 BigML#
The BigML API offers a suite of machine learning tools that enable the creation and management of datasets, models, predictions, and more. It's a powerful resource for developers looking to incorporate machine learning into their applications. Within Pipedream, you can leverage the BigML API to automate workflows, process data, and apply predictive analytics. By connecting BigML to other apps in Pipedream, you can orchestrate sophisticated data pipelines that react to events, perform analyses, and take action based on machine learning insights.
Connect BigML#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bigml: {
type: "app",
app: "bigml",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://bigml.io/andromeda/source`,
params: {
username: `${this.bigml.$auth.username}`,
api_key: `${this.bigml.$auth.api_key}`,
},
})
},
})
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