The most trusted solution for spam protection for small sites and large enterprises.
The Akismet API is a powerful ally in the fight against spam. This API allows you to check comments and contact form submissions against Akismet's database of known spam. It can also provide valuable insights into the nature of the content being analyzed, helping you determine whether it's a legitimate message or an unwanted interruption. By integrating Akismet with Pipedream, you can streamline the spam filtering process across various platforms, ensure the integrity of user-generated content, and maintain a cleaner digital environment.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
akismet: {
type: "app",
app: "akismet",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://rest.akismet.com/1.2/usage-limit`,
headers: {
"accept": `application/json`,
},
params: {
api_key: `${this.akismet.$auth.api_key}`,
},
})
},
})
Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.
Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.
We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.
Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.
You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.
Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.
Learn more at Pipedream University.
import snowflake from '@pipedream/snowflake';
export default defineComponent({
props: {
snowflake,
},
async run({ $ }) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/snowflake
return this.snowflake.executeQuery({
sqlText: `SELECT CURRENT_TIMESTAMP()`,
binds: [],
});
},
});