Zenserp enables you to scrape search engine result pages in a fast and scalable way. Getting SERPs has never been easier.
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
Emit new event when a new table is added to a database. See the docs here
The Zenserp API enables you to automate search engine queries, parsing SERPs (Search Engine Results Pages) to extract valuable data such as search results, location-based results, and even Google image searches. Within Pipedream's platform, you can harness this API to create workflows that react to various triggers, like webhooks or schedules, to perform automated searches and process the resulting data. This can be powerful for SEO analysis, market research, and content monitoring. Pipedream's serverless architecture makes it seamless to integrate Zenserp with other apps to augment your workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
zenserp: {
type: "app",
app: "zenserp",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.zenserp.com/api/v2/search`,
headers: {
"apikey": `${this.zenserp.$auth.api_key}`,
},
params: {
"q": `Pipedream`,
},
})
},
})
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);
},
});