Mediatoolkit
Monitor Online Mentions of your brand in real-time. Know every article, hashtag or comment mentioning your business.
Integrate the Mediatoolkit API with the Data Stores API
Setup the Mediatoolkit API trigger to run a workflow which integrates with the Data Stores API. Pipedream's integration platform allows you to integrate Mediatoolkit and Data Stores remarkably fast. Free for developers.
Popular Ways to Connect Mediatoolkit with Data Stores#
Popular Mediatoolkit 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.
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.
Check if a key exists in your Pipedream Data Store or create one if it doesn't exist.
Overview of Mediatoolkit#
Mediatoolkit is a powerful media monitoring tool that tracks online mentions of your brand or keywords across various platforms, helping you stay on top of public perception and industry trends. Using the Mediatoolkit API on Pipedream, you can automate reactions to these mentions, aggregate data for analytics, and integrate notifications into other apps to keep your team informed. This enables real-time media monitoring, sentiment analysis, and enhances your ability to respond swiftly to the social sentiments affecting your brand or market.
Connect Mediatoolkit#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
mediatoolkit: {
type: "app",
app: "mediatoolkit",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.mediatoolkit.com/me/organizations`,
params: {
access_token: `${this.mediatoolkit.$auth.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")
},
})