Airtable is a low-code platform to build next-gen apps. Move beyond rigid tools, operationalize your critical data, and reimagine workflows with AI.
Emit new event each time a record is added, updated, or deleted in an Airtable table. See the documentation
Emit new event for each new or modified field in a table
Emit new event for each new or modified record in a table
Emit new event for each new or modified record in a view
Extracts information from texts with a given extractor. See the docs here
Create one or more records in a table by passing an array of objects containing field names and values as key/value pairs. See the documentation
Airtable (OAuth) API on Pipedream allows you to manipulate and leverage your Airtable data in a myriad of powerful ways. Sync data between Airtable and other apps, trigger workflows on updates, or process bulk data operations asynchronously. By using Airtable's structured databases with Pipedream's serverless platform, you can craft custom automation solutions, integrate with other services seamlessly, and streamline complex data processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
airtable_oauth: {
type: "app",
app: "airtable_oauth",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.airtable.com/v0/meta/whoami`,
headers: {
Authorization: `Bearer ${this.airtable_oauth.$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,
})
},
})