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Wachete

Track and monitor any changes on the web.

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PostgreSQL

Integrate the Wachete API with the PostgreSQL API

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

Popular Ways to Connect Wachete with PostgreSQL

Create Monitor with Wachete API on New Column from PostgreSQL API
PostgreSQL + Wachete
 
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Create Monitor with Wachete API on New or Updated Row from PostgreSQL API
PostgreSQL + Wachete
 
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Create Monitor with Wachete API on New Row Custom Query from PostgreSQL API
PostgreSQL + Wachete
 
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Create Monitor with Wachete API on New Row from PostgreSQL API
PostgreSQL + Wachete
 
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Create Monitor with Wachete API on New Table from PostgreSQL API
PostgreSQL + Wachete
 
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Popular Wachete and PostgreSQL Triggers

New Web Content Update (Instant) from the Wachete API

Emit new event when a Wachet receives a new notification

 
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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 Wachete and PostgreSQL Actions

Create Monitor with the Wachete API

Creates a new monitor for a specific website or web page. [See the documentation(https://api.wachete.com/swagger/ui/index/index.html)

 
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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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Delete Monitor with the Wachete API

Removes an existing monitor for a specific website or web page. [See the documentation(https://api.wachete.com/swagger/ui/index/index.html)

 
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Execute Custom Query with the PostgreSQL API

Executes a custom query you provide. See the documentation

 
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Fetch Monitor Data with the Wachete API

Retrieves data from a monitored website or web pages. [See the documentation(https://api.wachete.com/swagger/ui/index/index.html)

 
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Overview of Wachete

The Wachete API lets you track changes in web content and get notified when updates happen. This is handy for monitoring websites for new content, price changes, or availability of products, without manually checking the sites. Using Pipedream, you can integrate Wachete with other apps to automate reactions to these updates. Think about monitoring your competitors’ sites, keeping tabs on industry news, or even watching for job postings. With Wachete on Pipedream, these tasks become set-and-forget operations.

Connect Wachete

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    wachete: {
      type: "app",
      app: "wachete",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.wachete.com/thirdparty/v1/notification/list`,
      headers: {
        Authorization: `Bearer ${this.wachete.$auth.oauth_access_token}`,
        "Content-type": `application/json`,
        "accept": `*/*`,
      },
    })
  },
})

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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