Webflow

Responsive web design tool

Integrate the Webflow API with the Python API

Setup the Webflow API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Webflow and Python remarkably fast. Free for developers.

Run Python Code with Python API on New Form Submission (Instant) from Webflow API
Webflow + Python
 
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Run Python Code with Python API on New Collection Item (Instant) from Webflow API
Webflow + Python
 
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Run Python Code with Python API on Changed Collection Item (Instant) from Webflow API
Webflow + Python
 
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Run Python Code with Python API on Changed E-commerce Inventory (Instant) from Webflow API
Webflow + Python
 
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Run Python Code with Python API on Changed E-commerce Order (Instant) from Webflow API
Webflow + Python
 
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New Form Submission from the Webflow API

Emit new event when a new form is submitted. See the docs here

 
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New Collection Item from the Webflow API

Emit new event when a collection item is created. See the docs here

 
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Changed E-commerce Inventory (Instant) from the Webflow API

Emit an event when an e-commerce inventory level changes

 
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Changed E-commerce Order (Instant) from the Webflow API

Emit an event when an e-commerce order is changed

 
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Deleted Collection Item (Instant) from the Webflow API

Emit an event when a collection item is deleted

 
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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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Create Collection Item with the Webflow API

Create new collection item. See the docs here

 
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Delete Collection Item with the Webflow API

Delete Item of a Collection. See the docs here

 
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Fulfill Order with the Webflow API

Fulfill an order. See the docs here

 
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Get Collection with the Webflow API

Get a collection. See the docs here

 
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Overview of Webflow

With the Webflow API, you can build a number of different applications that can
help you manage your website more effectively. Some examples of applications
that can be built using the Webflow API include:

  • A website management tool that can help you keep track of your website's
    content and performance
  • A tool that can help you manage your website's SEO
  • A tool that can help you monitor your website's traffic
  • A tool that can help you track your website's conversion rate

Connect Webflow

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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/info`,
      headers: {
        Authorization: `Bearer ${this.webflow.$auth.oauth_access_token}`,
        "accept-version": `1.0.0`,
      },
    })
  },
})

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

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def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}