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ManyChat

Grow your business with ChatMarketing today. Connect with customers via Messenger, SMS, Email, or IG using ManyChat.

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PostgreSQL

Integrate the ManyChat API with the PostgreSQL API

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

Popular Ways to Connect ManyChat with PostgreSQL

Add Tag to User with ManyChat API on New Column from PostgreSQL API
PostgreSQL + ManyChat
 
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Add Tag to User with ManyChat API on New or Updated Row from PostgreSQL API
PostgreSQL + ManyChat
 
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Add Tag to User with ManyChat API on New Row Custom Query from PostgreSQL API
PostgreSQL + ManyChat
 
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Add Tag to User with ManyChat API on New Row from PostgreSQL API
PostgreSQL + ManyChat
 
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Add Tag to User with ManyChat API on New Table from PostgreSQL API
PostgreSQL + ManyChat
 
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Popular ManyChat and PostgreSQL Triggers

New Or Updated Custom Field from the ManyChat API

Emit new event when a selected custom field on a user profile is added or updated. 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 ManyChat and PostgreSQL Actions

Add Tag to User with the ManyChat API

Adds a specific tag to a user specified by their user ID. This action is essential to categorize and filter users based on business-specific parameters. 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 User by Custom Field with the ManyChat API

Locates a user based on a particular custom field's value. 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 ManyChat

The ManyChat API lets you manage and automate conversations in your chatbot, giving you control over user data, tags, and messaging. Integrating ManyChat with Pipedream can supercharge your chatbot workflows, enabling you to connect your ManyChat bot to various apps and services, automate interactions based on triggers, and analyze chatbot data to improve user engagement.

Connect ManyChat

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    manychat: {
      type: "app",
      app: "manychat",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.manychat.com/fb/page/getInfo`,
      headers: {
        Authorization: `Bearer ${this.manychat.$auth.api_key}`,
        "accept": `application/json`,
      },
    })
  },
})

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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