Sitecreator.io

Sitecreator.io is an easy-to-use platform that allows you to quickly create a professional looking website.

Integrate the Sitecreator.io API with the Python API

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

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Run Python Code with Python API on New Lead Created from Sitecreator.io API
Sitecreator.io + Python
 
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Run Python Code with Python API on New Newsletter Contact Created from Sitecreator.io API
Sitecreator.io + Python
 
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New Lead Created from the Sitecreator.io API

Emit new event when a new lead is added to a website. See the docs here

 
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New Newsletter Contact Created from the Sitecreator.io API

Emit new event when a new newsletter contact is added to a website. See the docs here

 
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Create Site with the Sitecreator.io API

Create a new website. See the docs here

 
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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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Delete Site with the Sitecreator.io API

Deletes an existing website. See the docs here

 
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Connect Sitecreator.io

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sitecreator_io: {
      type: "app",
      app: "sitecreator_io",
    }
  },
  async run({steps, $}) {
    const data = {
      "siteUrl": `{your_site_url}`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.sitecreator.io/v1/site/checkAvailability`,
      headers: {
        "Content-Type": `application/json`,
        "Your_Api_Key": `${this.sitecreator_io.$auth.api_key}`,
      },
      data,
    })
  },
})

Overview of Python

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo