Integrate the IP2Location.io API with the PostgreSQL API

Setup the IP2Location.io API trigger to run a workflow which integrates with the PostgreSQL API. Pipedream's integration platform allows you to integrate IP2Location.io and PostgreSQL remarkably fast. Free for developers.

Popular Ways to Connect IP2Location.io with PostgreSQL#

Lookup IP Address with IP2Location.io API on New Column from PostgreSQL API

PostgreSQL + IP2Location.io

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Lookup IP Address with IP2Location.io API on New or Updated Row from PostgreSQL API

PostgreSQL + IP2Location.io

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Lookup IP Address with IP2Location.io API on New Row Custom Query from PostgreSQL API

PostgreSQL + IP2Location.io

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Lookup IP Address with IP2Location.io API on New Row from PostgreSQL API

PostgreSQL + IP2Location.io

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Lookup IP Address with IP2Location.io API on New Table from PostgreSQL API

PostgreSQL + IP2Location.io

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Popular IP2Location.io and PostgreSQL Triggers#

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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New Table from the PostgreSQL API

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

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Popular IP2Location.io and PostgreSQL Actions#

Lookup IP Address with the IP2Location.io API

Retrieve geolocation data about an IP Address. See the docs here

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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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Overview of IP2Location.io#

The IP2Location.io API enables you to identify a user's geographical location based on their IP address. With it, you can fetch details like country, region, city, latitude, longitude, ZIP code, time zone, ISP, domain, and more. On Pipedream, this becomes a powerful tool to enrich event data, customize user experiences based on location, or even detect suspicious activities by comparing known user locations to new, anomalous ones. Since Pipedream can connect to countless APIs, you can automate processes that depend on geolocation information, triggering actions across different services.

Connect IP2Location.io#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ip2location_io: {
      type: "app",
      app: "ip2location_io",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.ip2location.io/`,
      params: {
        key: `${this.ip2location_io.$auth.api_key}`,
        ip: `{{your_ip_address}}`,
      },
    })
  },
})

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;
  },
})