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Async Interview

Async Interview is the world’s most advanced video interviewing platform, offering pre-recorded interviews customized to meet any recruitment scenario.

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PostgreSQL

Integrate the Async Interview API with the PostgreSQL API

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

Popular Ways to Connect Async Interview with PostgreSQL

Delete Row(s) with PostgreSQL API on New Interview Response from Async Interview API
Async Interview + PostgreSQL
 
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Execute Custom Query with PostgreSQL API on New Interview Response from Async Interview API
Async Interview + PostgreSQL
 
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Find Row With Custom Query with PostgreSQL API on New Interview Response from Async Interview API
Async Interview + PostgreSQL
 
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Find Row with PostgreSQL API on New Interview Response from Async Interview API
Async Interview + PostgreSQL
 
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Insert Row with PostgreSQL API on New Interview Response from Async Interview API
Async Interview + PostgreSQL
 
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Popular Async Interview and PostgreSQL Triggers

New Interview Response from the Async Interview API

Emit new event when a new interview response is received.

 
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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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Popular Async Interview and PostgreSQL Actions

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 Async Interview

The Async Interview API enables automation around video interview processes. With this API, you can craft workflows on Pipedream that manipulate interview data, initiate new interviews, and respond to events within the Async Interview platform. Pipedream's serverless architecture allows you to connect with hundreds of apps to streamline recruitment workflows, analyze interview data, or enhance the candidate experience with personalized interactions.

Connect Async Interview

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    async_interview: {
      type: "app",
      app: "async_interview",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.asyncinterview.ai/api/jobs`,
      headers: {
        Authorization: `Bearer ${this.async_interview.$auth.api_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;
  },
})
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