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ClinchPad

ClinchPad is a deal focused CRM that enables you to close deals faster. It is a simple to use, web based application built for small teams who are looking to transition from a cluster of spreadsheets to a more organized way of tracking leads.

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PostgreSQL

Integrate the ClinchPad API with the PostgreSQL API

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

Popular Ways to Connect ClinchPad with PostgreSQL

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

New Lead Created from the ClinchPad API

Emit new event for each new created lead.

 
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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 ClinchPad and PostgreSQL Actions

Create Lead with the ClinchPad API

Creates a lead. See docs here (Go to Create a lead)

 
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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 ClinchPad

ClinchPad is a modern CRM tailored for small teams to manage sales pipelines with minimal fuss. The ClinchPad API integrates with Pipedream, allowing you to automate interactions with your sales pipeline. For instance, you can automatically create leads, update their status, track communications, or gather analytics for reporting purposes. Through Pipedream, you can connect ClinchPad with hundreds of other apps to streamline your sales process, maintain customer relations, and close deals faster.

Connect ClinchPad

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    clinchpad: {
      type: "app",
      app: "clinchpad",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.clinchpad.com/api/v1/users`,
      auth: {
        username: `api-key`,
        password: `${this.clinchpad.$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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