Integrate the Autom API with the Data Stores API

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

Popular Autom and Data Stores Actions#

Bing Search with the Autom API

Scrape the results from Bing search engine via the Autom.dev service. See the documentation

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Add or update a single record with the Data Stores API

Add or update a single record in your Pipedream Data Store.

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Brave Search with the Autom API

Scrape the results from Brave search engine using Autom.dev. See the documentation

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Add or update multiple records with the Data Stores API

Add or update multiple records to your Pipedream Data Store.

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Google Search with the Autom API

Scrape the results from the Google search engine using the Autom.dev API. See the documentation

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Overview of Autom#

Autom API offers a rich set of features for creating, managing, and deploying automations. With its capabilities, you can streamline tasks by setting up triggers and actions based on certain conditions. When used within Pipedream, you can harness these features to create robust, serverless workflows that integrate with numerous other services and APIs. Autom API's interaction with Pipedream allows for building scalable automation solutions that respond to real-time events and connect with a multitude of apps to perform complex tasks seamlessly.

Connect Autom#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    autom: {
      type: "app",
      app: "autom",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://autom.dev/api/usage`,
      headers: {
        "Content-Type": `application/json`,
        "x-api-key": `${this.autom.$auth.api_key}`,
      },
    })
  },
})

Overview of Data Stores#

Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.

Connect Data Stores#

export default defineComponent({
  props: {
    myDataStore: {
      type: "data_store",
    },
  },
  async run({ steps, $ }) {
    await this.myDataStore.set("key_here","Any serializable JSON as the value")
    return await this.myDataStore.get("key_here")
  },
})