with Nasdaq Data Link (Time Series and Table data) and Pipedream Utils?
Convert an object to a JSON format string
Add or subtract time from a given input
Get the duration between two dates in days, hours, minutes, and seconds along with checking if they are the same.
Format a date string to another date string. For more examples on formatting, see the Sugar Date Format documentation.
The Nasdaq Data Link API provides access to financial, economic, and alternative data that powers investment decisions, research, and more. Within Pipedream, you can use this API to automate workflows involving time series and table data. This might include fetching stock prices, economic indicators, or data for quantitative analysis. By creating workflows that trigger on schedules or events, you can efficiently process and act upon this data. Combine it with other apps to gain insights, notify stakeholders, or integrate with your databases.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
nasdaq_data_link_time_series_and_table_data_: {
type: "app",
app: "nasdaq_data_link_time_series_and_table_data_",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://data.nasdaq.com/api/v3/datatables/ETFG/FUND.json`,
params: {
api_key: `${this.nasdaq_data_link_time_series_and_table_data_.$auth.api_key}`,
},
})
},
})
The Pipedream Utils app is a set of pre-built functions that streamline common tasks in your workflows. It acts like a Swiss Army knife for developers, providing essential tools such as format conversion, date manipulation, and text processing. By leveraging these functions, you can reduce the boilerplate code needed for routine operations, speeding up the development of intricate automations. The Helper Functions API can be a game changer when it comes to tasks like parsing dates in user-friendly formats, encoding and decoding data, or generating UUIDs, making them more efficient and less error-prone.
export default defineComponent({
props: {
pipedream_utils: {
type: "app",
app: "pipedream_utils",
}
},
async run({steps, $}) {
},
})