Revolutionize data extraction with the GPT-powered document parser.
Emit new event when a document is parsed. See the documentation
Emit new event when you add or modify a new row in a table. See the docs here
Emit new event when new rows are returned from a custom query. See the docs here
Extracts structured data based on a user-predefined extraction schema. See the documentation
Uploads a document into the inbox for data extraction. See the documentation
The Airparser API simplifies the process of extracting data from emails, such as order confirmations, shipping notifications, or any structured email content. By transforming emails into structured data, it enables seamless integration of email data into various workflows. On Pipedream, you can leverage this API to create automations that act on the parsed data—like updating databases, triggering notifications, or integrating with other apps and services.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
airparser: {
type: "app",
app: "airparser",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.airparser.com/inboxes/`,
headers: {
"X-API-Key": `${this.airparser.$auth.api_key}`,
},
})
},
})
The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.
import mysql from '@pipedream/mysql';
export default defineComponent({
props: {
mysql,
},
async run({steps, $}) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql
const queryObj = {
sql: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.mysql.executeQuery(queryObj);
},
});