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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
Search for records based on matching field(s). See the documentation
The SmartSuite API offers a way to streamline work by automating tasks, managing data, and integrating with other services. Within Pipedream, you can leverage this API to create workflows that react to events in SmartSuite, manipulate data within SmartSuite, or synchronize data between SmartSuite and other apps. This could range from updating project statuses, to aggregating data for reports, to syncing contacts across platforms.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
smartsuite: {
type: "app",
app: "smartsuite",
}
},
async run({steps, $}) {
return await axios($, {
method: "post",
url: `https://app.smartsuite.com/api/v1/applications/members/records/list/`,
headers: {
"Authorization": `Token ${this.smartsuite.$auth.api_token}`,
"ACCOUNT-ID": `${this.smartsuite.$auth.account_id}`,
"Content-Type": `application/json`,
},
params: {
offset: `0`,
limit: `3`,
},
})
},
})
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);
},
})