Dev.to
Where programmers share ideas and help each other grow.
Integrate the Dev.to API with the Python API
Setup the Dev.to API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Dev.to and Python remarkably fast. Free for developers.
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Popular Dev.to and Python Triggers#
Emit new event for each new story that has a matching tag (e.g., javascript)
Emit new event for each new article published on your Dev.to account
Emit new event for each new reading list item on your Dev.to account
Popular Dev.to 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 Dev.to#
The Dev.to API enables programmatic interaction with Dev.to, a community for software developers to share articles and engage with content. Through the API, you can automate content creation, management, and analysis. Accessing user articles, managing comments, and triggering actions based on Dev.to events are just a few capabilities at your disposal. By leveraging these with Pipedream's serverless platform, you can craft powerful automations that respond in real-time to activities on Dev.to, streamlining your content strategy and community engagement.
Connect Dev.to#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
dev_to: {
type: "app",
app: "dev_to",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://dev.to/api/articles/me`,
headers: {
"api-key": `${this.dev_to.$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