with Microsoft Excel and MonkeyLearn?
Emit new event when when a specific cell's value changes in an Excel worksheet
Emit new event when when a new row is added to an Excel worksheet
Emit new event when a new Excel spreadsheet is created.
Emit new event when an Excel spreadsheet is updated.
Adds rows to the end of specific table. See the documentation
Insert a new row into a specified Excel worksheet. See the documentation
Extracts information from texts with a given extractor. See the docs here
Find a row by column and value in an Excel worksheet. See the documentation
The Microsoft Excel API on Pipedream allows you to automate spreadsheet tasks, manipulate data, and integrate Excel with other apps and services. Through Pipedream, you can create serverless workflows that react to events, perform operations on Excel files like reading, writing, updating cells, and managing worksheets. This API turns Excel into a powerful tool for data analysis, report generation, and task automation without manual intervention.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
microsoft_excel: {
type: "app",
app: "microsoft_excel",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://graph.microsoft.com/v1.0/me`,
headers: {
Authorization: `Bearer ${this.microsoft_excel.$auth.oauth_access_token}`,
},
})
},
})
MonkeyLearn is a text analysis platform that employs machine learning to extract and process data from chunks of text. By leveraging the MonkeyLearn API on Pipedream, you can automate the categorization of text, extract specific data, analyze sentiment, and more, all in real-time. This enables the development of powerful custom workflows that can analyze customer feedback, automate email processing, or provide insightful analytics on textual data from various sources.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
monkeylearn: {
type: "app",
app: "monkeylearn",
}
},
async run({steps, $}) {
const data = {
"data": [
"This is a great tool!",
]
}
return await axios($, {
method: "post",
url: `https://api.monkeylearn.com/v3/classifiers/cl_pi3C7JiL/classify/`,
headers: {
"Authorization": `Token ${this.monkeylearn.$auth.api_key}`,
"Content-Type": `application/json`,
},
data,
})
},
})