Google Analytics
Google Analytics enables you to measure and report on user activity on websites, web and mobile apps, and internet-connected devices.
Integrate the Google Analytics API with the Data Stores API
Setup the Google Analytics API trigger to run a workflow which integrates with the Data Stores API. Pipedream's integration platform allows you to integrate Google Analytics and Data Stores remarkably fast. Free for developers.
Popular Ways to Connect Google Analytics with Data Stores#
Popular Google Analytics and Data Stores Actions#
Add or update a single record in your Pipedream Data Store.
Add or update multiple records to your Pipedream Data Store.
Return report metrics based on a start and end date. See the docs here
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 Google Analytics#
The Google Analytics API unlocks the power of your analytics data, enabling automated access to custom reports, real-time statistics, and user behavior analysis. With it, you can extract actionable insights, push data to other platforms, and tailor your business strategy with precision. Leveraging Pipedream's serverless platform, these capabilities can be seamlessly integrated into workflows that trigger actions in other apps, send alerts, or even feed data warehouses for deeper analysis.
Connect Google Analytics#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_analytics: {
type: "app",
app: "google_analytics",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_analytics.$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")
},
})