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 Snowflake API

Setup the Trakt API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Trakt and Snowflake remarkably fast. Free for developers.

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Add To Watchlist with Trakt API on New Row from Snowflake API
Snowflake + Trakt
 
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Remove From Watchlist with Trakt API on New Row from Snowflake API
Snowflake + Trakt
 
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Add To Watchlist with Trakt API on New Query Results from Snowflake API
Snowflake + Trakt
 
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Remove From Watchlist with Trakt API on New Query Results from Snowflake API
Snowflake + Trakt
 
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Execute Query with Snowflake API on New Show Or Movie Rated from Trakt API
Trakt + Snowflake
 
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New Row from the Snowflake API

Emit new event when a row is added to a table

 
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New Show Or Movie Rated from the Trakt API

Emit new event on each new rated show or movie.

 
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New Query Results from the Snowflake API

Run a SQL query on a schedule, triggering a workflow for each row of results

 
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New Show Or Movie Watched from the Trakt API

Emit new event on each new watched show or movie.

 
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Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

 
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Add To Watchlist with the Trakt API

Add one of more items to watchlist. See the documentation

 
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Execute SQL Query with the Snowflake API

Execute a custom Snowflake query. See our docs to learn more about working with SQL in Pipedream.

 
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Remove From Watchlist with the Trakt API

Remove one of more items from watchlist. See the documentation

 
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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

 
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Insert Single Row with the Snowflake API

Insert a row into a table

 
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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

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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 Snowflake

Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.

Getting Started

1. Create a user, role and warehouse in Snowflake

Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.

We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.

2. Enter those details in Pipedream

Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.

You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.

3. Build your first workflow

Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.

Learn more at Pipedream University.

Connect Snowflake

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import snowflake from '@pipedream/snowflake';

export default defineComponent({
  props: {
    snowflake,
  },
  async run({ $ }) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/snowflake
    
    return this.snowflake.executeQuery({
      sqlText: `SELECT CURRENT_TIMESTAMP()`,
      binds: [],
    });
  },
});

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