Mastodon
Mastodon is a decentralized social network made up of independent servers organized around specific themes, topics, or interests.
Integrate the Mastodon API with the Python API
Setup the Mastodon API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Mastodon and Python remarkably fast. Free for developers.
Popular Mastodon and Python Triggers#
Emit new event when a new status is posted to your Profile. See the docs here
Emit new event when the specified status is bookmarked. See the docs here
Emit new event when the specified status is boosted. See the docs here
Emit new event when the specified status is favorited. See the docs here
Popular Mastodon and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Edit a given status to change its text or sensitivity. See the docs here
Overview of Mastodon#
The Mastodon API enables you to interact with the Mastodon social network programmatically. Through Pipedream's integration, you can automate posting, monitor timelines, follow accounts, and more. Powerful workflows can be built around these capabilities, facilitating content distribution, social listening, and audience engagement without manual intervention.
Connect Mastodon#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
mastodon: {
type: "app",
app: "mastodon",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.mastodon.$auth.site_domain}/api/v1/apps/verify_credentials`,
headers: {
Authorization: `Bearer ${this.mastodon.$auth.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}}