Monitor Online Mentions of your brand in real-time. Know every article, hashtag or comment mentioning your business.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
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.
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}`,
},
})
},
})
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt
file or running pip
.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}