Integrate the LinkedIn API with the Data Stores API

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

Popular LinkedIn and Data Stores Actions#

Create a Simple Post (Organization) with the LinkedIn API

Create post on LinkedIn using text, URL or article. See the docs for more information

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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 a Simple Post (User) with the LinkedIn API

Create post on LinkedIn using text, URL or article. See the docs for more information

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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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Create Comment with the LinkedIn API

Create a comment on a share or user generated content post. See the docs here

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Overview of LinkedIn#

The LinkedIn API on Pipedream allows you to automate interactions with your LinkedIn account, such as posting updates, managing your profile, and engaging with your network. With Pipedream's serverless platform, you can create workflows that trigger on various events, process data, and connect with countless other apps to extend your LinkedIn presence, analyze your network's demographics, automate content sharing, and more.

Connect LinkedIn#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    linkedin: {
      type: "app",
      app: "linkedin",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.linkedin.com/v2/me`,
      headers: {
        Authorization: `Bearer ${this.linkedin.$auth.oauth_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")
  },
})