Parseur
Parseur is the most powerful and user-friendly mail parser. A data extraction tool to automatically extract text from your emails, pdfs, and other documents.
Integrate the Parseur API with the Snowflake API
Setup the Parseur API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Parseur and Snowflake remarkably fast. Free for developers.
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Popular Ways to Connect Parseur with Snowflake#
Popular Parseur and Snowflake Triggers#
Emit new event when a new document is not processed. It is triggered when a document fails to process with status New Template Needed. See the docs.
Emit new event when a new document is processed. It is useful for endpoints that don't support deep JSON structures as it will flatten your table fields. See the docs.
Run a SQL query on a schedule, triggering a workflow for each row of results
Emit new event when a new document is processed with list items. The payload format is the same as when viewing the document and clicking on view as JSON. See the docs.
Overview of Parseur#
Parseur is a powerful email parsing tool that automates the extraction of data from emails and documents. With its API, you can unlock the data trapped in emails and documents and transform it into structured data. On Pipedream, you can use Parseur to trigger workflows from parsed email data, connecting it to hundreds of other services for endless automation possibilities. This can streamline business processes like lead management, invoice processing, and data entry by automating the extraction and flow of critical information.
Connect Parseur#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
parseur: {
type: "app",
app: "parseur",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.parseur.com/parser`,
headers: {
"Authorization": `Token ${this.parseur.$auth.api_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