Trakt
Trakt is a service that integrates with your media center to better keep track of the TV shows and movies that you've watched.
Integrate the Trakt API with the Python API
Setup the Trakt API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Trakt and Python remarkably fast. Free for developers.
Popular Trakt and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Remove one of more items from watchlist. See the documentation
Overview of Trakt#
The Trakt API provides an interface to track and discover movies and TV shows, allowing you to manage watchlists, get personalized recommendations, and engage with a social community of film and TV enthusiasts. On Pipedream, you can harness this API to create custom workflows that automate your media activities, sync your watch status with other apps, or even analyze your viewing habits.
Connect Trakt#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
trakt: {
type: "app",
app: "trakt",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.trakt.$auth.environment}.trakt.tv/users/me`,
headers: {
Authorization: `Bearer ${this.trakt.$auth.oauth_access_token}`,
"Content-Type": `application/json`,
"trakt-api-version": `2`,
"trakt-api-key": `${this.trakt.$auth.oauth_client_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#
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}}