with Nasdaq Data Link (Time Series and Table data) and Amazon SES?
Exports an entire table or a filtered subset as a zipped CSV file. Returns a download link for the data. Premium subscribers can use this feature up to 60 times per hour. See the documentation
Create a HTML or a plain text email template. See the docs
Retrieves data from a specific Nasdaq Data Link table with automatic pagination. Supports filtering by columns and rows. See the documentation
Retrieves metadata for a specific Nasdaq Data Link table, including column names, types, filterable columns, and primary keys. See the 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}`,
},
})
},
})
Amazon Simple Email Service (SES) is a powerful cloud-based email sending service designed to help digital marketers and application developers send marketing, notification, and transactional emails. With the SES API, you can reliably send emails at scale, manage sender reputations, view email sending statistics, and maintain a high deliverability rate. Leveraging Pipedream's capabilities, you can integrate SES seamlessly into serverless workflows, automate email responses based on triggers from other apps, and analyze the effectiveness of your email campaigns by connecting to data analytics platforms.
module.exports = defineComponent({
props: {
amazon_ses: {
type: "app",
app: "amazon_ses",
}
},
async run({steps, $}) {
const AWS = require("aws-sdk")
const { accessKeyId, secretAccessKey } = this.amazon_ses.$auth
const ses = new AWS.SES({
accessKeyId,
secretAccessKey,
region: 'us-east-1',
})
const sesParams = {
Destination: {
ToAddresses: ["<your email here>"],
},
Message: {
Body: {
Html: {
Charset: "UTF-8",
Data: "<h1>This is a test</h1>",
},
Text: {
Charset: "UTF-8",
Data: "This is a test",
}
},
Subject: {
Charset: "UTF-8",
Data: "Test email",
}
},
Source: "<your from address here",
};
this.resp = await ses.sendEmail(sesParams).promise()
},
})