Enrich your incomplete B2B data with more than 50 exclusive attributes about your prospects and target companies.
Emit new event when a new column is added to a table. See the documentation
Emit new event when a row is added or modified. See the documentation
Emit new event when a new row is added to a table. See the documentation
Emit new event when new rows are returned from a custom query that you provide. See the documentation
Emit new event when a new table is added to the database. See the documentation
Finds a row in a table via a custom query. See the documentation
The Datagma API allows for the extraction and analysis of valuable data from emails. By using this API, you can automate the process of parsing emails to retrieve information like signatures, contact details, and other pertinent data. In Pipedream, this functionality becomes a powerful tool for creating workflows that can help to streamline business processes, enhance customer relationship management, or fuel data enrichment strategies.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
datagma: {
type: "app",
app: "datagma",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://gateway.datagma.net/api/ingress/v1/mine`,
params: {
apiId: `${this.datagma.$auth.api_key}`,
},
})
},
})
On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.
import postgresql from "@pipedream/postgresql"
export default defineComponent({
props: {
postgresql,
},
async run({ steps, $ }) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/postgresql
const queryObj = {
text: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.postgresql.executeQuery(queryObj);
},
})