What do you want to automate
with LinkedIn Ads and Data Stores?
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Popular Ways to Connect LinkedIn Ads with Data Stores#
Popular LinkedIn Ads and Data Stores Triggers#
Emit new event when a fresh response is received on the event registration form. User needs to configure the prop of the specific event. See the documentation
Emit new event when a new lead is captured through a form. See the documentation
Popular LinkedIn Ads and Data Stores Actions#
Queries the Analytics Finder to get analytics for the specified entity i.e company, account, campaign. See the docs here
Add or update a single record in your Pipedream Data Store
Sample query using analytics finder that gets analytics for a particular account for date range starting in a given year. See the docs here
Add or update multiple records to your Pipedream Data Store
Append to a record in your data store Pipedream Data Store. If the record does not exist, a new record will be created in an array format.
Overview of LinkedIn Ads#
The LinkedIn Ads API on Pipedream enables you to automate and integrate your LinkedIn advertising efforts with other services. Fetch campaign data, manage ad accounts, or automate ad creation and adjustments. With Pipedream, you can trigger workflows with HTTP requests, emails, and on a schedule, and connect to thousands of other apps with minimal effort.
Connect LinkedIn Ads#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
linkedin_ads: {
type: "app",
app: "linkedin_ads",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.linkedin.com/v2/me`,
headers: {
Authorization: `Bearer ${this.linkedin_ads.$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")
},
})Trusted by 1,000,000+ developers from startups to Fortune 500 companies