Integrate the Judge.me API with the PostgreSQL API

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

Popular Ways to Connect Judge.me with PostgreSQL#

Delete Row(s) with PostgreSQL API on New Review (Instant) from Judge.me API

Judge.me + PostgreSQL

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Execute Custom Query with PostgreSQL API on New Review (Instant) from Judge.me API

Judge.me + PostgreSQL

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Find Row With Custom Query with PostgreSQL API on New Review (Instant) from Judge.me API

Judge.me + PostgreSQL

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Find Row with PostgreSQL API on New Review (Instant) from Judge.me API

Judge.me + PostgreSQL

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Insert Row with PostgreSQL API on New Review (Instant) from Judge.me API

Judge.me + PostgreSQL

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Popular Judge.me and PostgreSQL Triggers#

New Review (Instant) from the Judge.me API

Emit new event when a new review is posted. See the documentation

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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 Judge.me 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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Private Reply with the Judge.me API

Create a private reply for a review, on behalf of the shop. Private replies are not shown on the widgets, but can be emailed to the reviewers. 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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Reply with the Judge.me API

Create a public reply for a review on behalf of the shop. Public replies are shown publicly on the widgets. 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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Overview of Judge.me#

The Judge.me API lets you tap into a rich repository of product review data, enabling you to automate the gathering, moderation, and publication of reviews on your store. You can also trigger actions based on review events, like thanking a customer after they leave a positive review or addressing negative feedback promptly. With Pipedream's serverless platform, you can craft workflows to interact with other apps, streamline processes, and react to review-related activities in real-time, without writing any backend code.

Connect Judge.me#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    judge_me: {
      type: "app",
      app: "judge_me",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://judge.me/api/v1/reviews`,
      params: {
        api_token: `${this.judge_me.$auth.oauth_access_token}`,
        shop_domain: `${this.judge_me.$auth.shop_domain}`,
      },
    })
  },
})

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#

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;
  },
})