Readwise
Readwise makes it easy to revisit and learn from your ebook & article highlights.
Integrate the Readwise API with the Snowflake API
Setup the Readwise API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Readwise and Snowflake remarkably fast. Free for developers.
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Popular Readwise and Snowflake Triggers#
Popular Readwise and Snowflake Actions#
A list of highlights with a pagination metadata. The rate limit of this endpoint is restricted to 20 requests per minute. Each request returns 1000 items. See the docs here
Overview of Readwise#
The Readwise API allows you to access and manipulate your Readwise data, which includes highlights, notes, and books from your reading list. With this API, you can automate the retrieval of your reading highlights, synchronize them across various platforms, or trigger custom actions based on new highlights added. Pipedream, as a serverless integration and compute platform, enables you to create workflows that leverage the Readwise API to build powerful automations, connecting your reading insights to countless other apps and services to enrich productivity and data management.
Connect Readwise#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
readwise: {
type: "app",
app: "readwise",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://readwise.io/api/v2/books/`,
headers: {
"Authorization": `Token ${this.readwise.$auth.access_token}`,
},
})
},
})
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 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: [],
});
},
});Trusted by 1,000,000+ developers from startups to Fortune 500 companies