Document360
The Knowledge Base Software that Scales with your Product.
Integrate the Document360 API with the Python API
Setup the Document360 API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Document360 and Python remarkably fast. Free for developers.
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Popular Ways to Connect Document360 with Python#
Popular Document360 and Python Triggers#
Emit new event when a new article is created within a project version. See the documentation
Popular Document360 and Python Actions#
Creates a new document in Document360 from text. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Document360#
The Document360 API enables programmatic interaction with your knowledge base, allowing you to automate content creation, updates, and management. With this API, you can integrate Document360 into your existing content pipelines, support workflows, or any system that needs to push or pull knowledge base content. On Pipedream, you can harness this API to craft serverless workflows that seamlessly integrate with other apps to keep documentation up-to-date, trigger notifications based on content changes, or analyze knowledge base usage.
Connect Document360#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
document360: {
type: "app",
app: "document360",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://apihub.document360.io/v2/teams`,
headers: {
"api_token": `${this.document360.$auth.api_key}`,
},
})
},
})
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies