What do you want to automate

with Woovi and Python?

Prompt, edit and deploy AI agents that connect to Woovi, Python and 3,000+ other apps in seconds.

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Run Python Code with Python API on New Webhook Event (Instant) from Woovi API
Woovi + Python
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New Webhook Event (Instant) from the Woovi API

Emit new event when a webhook is called. See the documentation

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Create Charge with the Woovi API

Generates a charge for a customer. See the documentation

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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 Charge Refund with the Woovi API

Opens a refund request for a specific charge. See the documentation

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Delete Charge with the Woovi API

Removes a specific charge from the system. See the documentation

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

Overview of Woovi#

The Woovi API provides capabilities to interact with Woovi's video streaming services. In Pipedream, you can leverage this API to automate workflows related to video content management, distribution, and analytics. Custom integrations can help you streamline operations, such as automating video uploads, syncing metadata, or triggering actions based on viewer data.

Connect Woovi#

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import { axios } from "@pipedream/platform"
export default defineComponent({
 props: {
 woovi: {
 type: "app",
 app: "woovi",
 }
 },
 async run({steps, $}) {
 return await axios($, {
 url: `https://api.openpix.com.br/api/v1/account/`,
 headers: {
 "Authorization": `${this.woovi.$auth.app_id}`,
 },
 })
 },
})

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
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