Apify is the place to find, develop, buy and run cloud programs called actors. Use actors to turn any website into an API.
Emit new event when a selected actor is run and finishes.
Emit new event when a selected task is run and finishes.
Emit new event when you add or modify a new row in a table. See the docs here
Performs an execution of a selected actor in Apify. See the documentation
Executes a scraper on a specific website and returns its content as text. This action is perfect for extracting content from a single page.
The Apify API unleashes the power to automate web scraping, process data, and orchestrate web automation workflows. By utilizing Apify on Pipedream, you can create dynamic serverless workflows to manage tasks like extracting data from websites, running browser automation, and scheduling these jobs to run autonomously. It integrates smoothly with Pipedream's capabilities to trigger actions on various other apps, store the results, and manage complex data flow with minimal setup.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
apify: {
type: "app",
app: "apify",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.apify.com/v2/users/me`,
headers: {
Authorization: `Bearer ${this.apify.$auth.api_token}`,
},
})
},
})
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);
},
});