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Orca Scan

Build a barcode system without code.

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PostgreSQL

Integrate the Orca Scan API with the PostgreSQL API

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

Popular Ways to Connect Orca Scan with PostgreSQL

Add or Update Row with Orca Scan API on New Column from PostgreSQL API
PostgreSQL + Orca Scan
 
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Add or Update Row with Orca Scan API on New or Updated Row from PostgreSQL API
PostgreSQL + Orca Scan
 
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Add or Update Row with Orca Scan API on New Row Custom Query from PostgreSQL API
PostgreSQL + Orca Scan
 
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Add or Update Row with Orca Scan API on New Row from PostgreSQL API
PostgreSQL + Orca Scan
 
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Add or Update Row with Orca Scan API on New Table from PostgreSQL API
PostgreSQL + Orca Scan
 
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Popular Orca Scan and PostgreSQL Triggers

New Row in Orca Scan Sheet from the Orca Scan API

Emit new event when a new row is created in an Orca Scan sheet. See the documentation

 
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New Sheet Created from the Orca Scan API

Emit new event when a new sheet is created in Orca Scan. 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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Popular Orca Scan and PostgreSQL Actions

Add or Update Row with the Orca Scan API

Adds a new row or updates an existing row in a sheet. 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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Find Row with the Orca Scan API

Locates a row record based on a given barcode. If no barcode is provided, return all rows. 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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Overview of Orca Scan

The Orca Scan API is a gateway to integrate barcode scanning and inventory management capabilities into various workflows. By leveraging the API, you can automate data collection, streamline inventory tracking, and sync your barcode scanning data with other systems. When used on Pipedream, you can merge Orca Scan functionalities with countless other apps, creating custom automation rules, processing data, and managing inventory in real-time. Ideal for inventory management, asset tracking, and data collection automation, the Orca Scan API is a tool that can adapt to a myriad of business needs.

Connect Orca Scan

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    orca_scan: {
      type: "app",
      app: "orca_scan",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.orcascan.com/v1/sheets`,
      headers: {
        Authorization: `Bearer ${this.orca_scan.$auth.api_key}`,
      },
    })
  },
})

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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