Crowdin
Agile localization for tech companies. Crowdin is a cloud-based solution that streamlines localization management for your team. It's the perfect place to effectively manage all of your multilingual content.
Integrate the Crowdin API with the Python API
Setup the Crowdin API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Crowdin and Python remarkably fast. Free for developers.
Popular Crowdin and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Crowdin#
The Crowdin API offers a way to streamline localization processes by enabling automated interactions with Crowdin projects. With this API on Pipedream, you can create workflows that manage translations, coordinate with translators, and sync localized content across your apps. It becomes easy to upload new source files, download translations, manage projects, and crowdsource translations, all within the Pipedream ecosystem.
Connect Crowdin#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
crowdin: {
type: "app",
app: "crowdin",
}
},
async run({steps, $}) {
return await axios($, {
// If you are using Crowdin Enterprise, your API URL
// should be https://{your_org_domain}.api.crowdin.com/
url: `https://api.crowdin.com/api/v2/user`,
headers: {
Authorization: `Bearer ${this.crowdin.$auth.oauth_access_token}`,
},
})
},
})
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#
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}}