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.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Run Python Code with Python API on New Show Or Movie Rated from Trakt API
Trakt + Python
 
Try it
Run Python Code with Python API on New Show Or Movie Watched from Trakt API
Trakt + Python
 
Try it
New Show Or Movie Rated from the Trakt API

Emit new event on each new rated show or movie.

 
Try it
New Show Or Movie Watched from the Trakt API

Emit new event on each new watched show or movie.

 
Try it
Add To Watchlist with the Trakt API

Add one of more items to watchlist. See the documentation

 
Try it
Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
Try it
Remove From Watchlist with the Trakt API

Remove one of more items from watchlist. See the documentation

 
Try it

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

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
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

1
2
3
4
5
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

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo