Memberful
Best-in-class membership software for independent creators, publishers, educators, podcasters, and more.
Integrate the Memberful API with the Snowflake API
Setup the Memberful API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Memberful and Snowflake remarkably fast. Free for developers.
Popular Memberful and Snowflake Triggers#
Overview of Memberful#
The Memberful API lets you handle memberships and subscriptions with precision. Using Pipedream, you can automate tasks around Memberful's robust features, like syncing member data, managing subscriptions, or triggering events based on membership changes. Pipedream's serverless platform turns these tasks into workflows you can build, run, and observe with ease.
Connect Memberful#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
memberful: {
type: "app",
app: "memberful",
}
},
async run({steps, $}) {
return await axios($, {
method: "POST",
url: `https://${this.memberful.$auth.site}.memberful.com/api/graphql`,
headers: {
Authorization: `Bearer ${this.memberful.$auth.api_key}`,
"Content-Type": `application/json`,
},
params: {
query: `{
members(first: 10) {
totalCount
pageInfo {
endCursor
hasNextPage
}
edges {
node {
id
email
fullName
subscriptions {
id
plan {
id
name
priceCents
}
}
}
}
}
}`,
},
})
},
})
Overview of Snowflake#
Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.
Getting Started
1. Create a user, role and warehouse in Snowflake
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.
2. Enter those details in Pipedream
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.
3. Build your first workflow
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.
Connect Snowflake#
import { promisify } from 'util'
import snowflake from 'snowflake-sdk'
export default defineComponent({
props: {
snowflake: {
type: "app",
app: "snowflake",
}
},
async run({steps, $}) {
const connection = snowflake.createConnection({
...this.snowflake.$auth,
application: "PIPEDREAM_PIPEDREAM",
})
const connectAsync = promisify(connection.connect)
await connectAsync()
async function connExecuteAsync(options) {
return new Promise((resolve, reject) => {
connection.execute({
...options,
complete: function(err, stmt, rows) {
if (err) {
reject(err)
} else {
resolve({stmt, rows})
}
}
})
})
}
// See https://docs.snowflake.com/en/user-guide/nodejs-driver-use.html#executing-statements
const { rows } = await connExecuteAsync({
sqlText: `SELECT CURRENT_TIMESTAMP()`,
})
return rows
},
})