Integrate the Fireberry API with the Data Stores API

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

Popular Fireberry and Data Stores Actions#

Create Account with the Fireberry API

Creates a new account in Fireberry. 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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Create an Article with the Fireberry API

Creates a new article in Fireberry. 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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List Accounts with the Fireberry API

List all accounts in Fireberry. See the documentation

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Overview of Fireberry#

The Fireberry API enables users to interact with Fireberry's suite of services programmatically. With its API, you can automate tasks related to their offerings. In Pipedream, you could leverage this API to create serverless workflows that respond to various triggers (like HTTP requests, emails, or schedule timings) and integrate with other apps to extend Fireberry's functionality.

Connect Fireberry#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    fireberry: {
      type: "app",
      app: "fireberry",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.fireberry.com/api/record/crmuser`,
      headers: {
        "accept": `application/json`,
        "tokenid": `${this.fireberry.$auth.api_access_token}`,
      },
    })
  },
})

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")
  },
})