Yahoo! Fantasy Sports

Create or join a NFL league and manage your team with live scoring, stats, scouting reports, news, and expert advice

Integrate the Yahoo! Fantasy Sports API with the PostgreSQL API

Setup the Yahoo! Fantasy Sports API trigger to run a workflow which integrates with the PostgreSQL API. Pipedream's integration platform allows you to integrate Yahoo! Fantasy Sports and PostgreSQL remarkably fast. Free for developers.

Delete Row(s) with PostgreSQL API on New Football League Transactions from Yahoo! Fantasy Sports API
Yahoo! Fantasy Sports + PostgreSQL
 
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Execute Custom Query with PostgreSQL API on New Football League Transactions from Yahoo! Fantasy Sports API
Yahoo! Fantasy Sports + PostgreSQL
 
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Find Row With Custom Query with PostgreSQL API on New Football League Transactions from Yahoo! Fantasy Sports API
Yahoo! Fantasy Sports + PostgreSQL
 
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Find Row with PostgreSQL API on New Football League Transactions from Yahoo! Fantasy Sports API
Yahoo! Fantasy Sports + PostgreSQL
 
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Insert Row with PostgreSQL API on New Football League Transactions from Yahoo! Fantasy Sports API
Yahoo! Fantasy Sports + PostgreSQL
 
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New Football League Transactions from the Yahoo! Fantasy Sports API

Emit new event when a new football league transaction occurs

 
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New Column from the PostgreSQL API

Emit new event when a new column is added to a table. See the documentation

 
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New or Updated Row from the PostgreSQL API

Emit new event when a row is added or modified. See the documentation

 
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New Row from the PostgreSQL API

Emit new event when a new row is added to a table. See the documentation

 
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New Row Custom Query from the PostgreSQL API

Emit new event when new rows are returned from a custom query that you provide. See the documentation

 
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Delete Row(s) with the PostgreSQL API

Deletes a row or rows from a table. See the documentation

 
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Execute Custom Query with the PostgreSQL API

Executes a custom query you provide. See the documentation

 
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Find Row with the PostgreSQL API

Finds a row in a table via a lookup column. See the documentation

 
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Find Row With Custom Query with the PostgreSQL API

Finds a row in a table via a custom query. See the documentation

 
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Insert Row with the PostgreSQL API

Adds a new row. See the documentation

 
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Overview of Yahoo! Fantasy Sports

The Yahoo! Fantasy Sports API opens a realm of possibilities for sports enthusiasts and developers, allowing them to tap into fantasy leagues, player stats, and real-time scoring. Leverage this data source within Pipedream to automate team management, notifications, and data analysis. You can create dynamic workflows that react to league updates, automate team roster changes, or aggregate statistics for insightful analytics, all with real-time triggers and seamless integrations with hundreds of apps.

Connect Yahoo! Fantasy Sports

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    yahoo_fantasy_sports: {
      type: "app",
      app: "yahoo_fantasy_sports",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.login.yahoo.com/openid/v1/userinfo`,
      headers: {
        Authorization: `Bearer ${this.yahoo_fantasy_sports.$auth.oauth_access_token}`,
      },
    })
  },
})

Overview of PostgreSQL

On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.

Connect PostgreSQL

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import postgresql from "@pipedream/postgresql"

export default defineComponent({
  props: {
    postgresql,
  },
  async run({ steps, $ }) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/postgresql

    const queryObj = {
      text: "SELECT NOW()",
      values: [], // Ignored since query does not contain placeholders
    };
    const { rows } = await this.postgresql.executeQuery(queryObj);
    return rows;
  },
})