Get Table Data with Nasdaq Data Link (Time Series and Table data) API on New Invitee Created from Calendly API

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New Invitee Created from the Calendly API

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Get Table Data with the Nasdaq Data Link (Time Series and Table data) API

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Getting Started#

This integration creates a workflow with a Calendly trigger and Nasdaq Data Link (Time Series and Table data) action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Invitee Created trigger
1. Connect your Calendly account
2. Select a Scope
Configure the Get Table Data action
1. Connect your Nasdaq Data Link (Time Series and Table data) account
2. Configure Publisher Code
3. Configure Table Code
4. Optional- Select one or more Columns
5. Optional- Configure Row Filters
6. Optional- Configure Filter Operators
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

New Invitee Created on Calendly

Description:Emit new event when a new event is scheduled.

Version:0.0.5

Key:calendly_v2-invitee-created

View on GitHub

Calendly Overview#

The Calendly API lets you craft bespoke scheduling experiences within your apps or automate repetitive tasks involving your calendar. With this API, you can read event types, set up webhooks for new events, list invitees, or create and cancel invitation links programmatically. Pipedream's serverless platform takes the heavy lifting out of integrating Calendly with hundreds of other apps, enabling you to focus on creating workflows that save time, enhance productivity, and eliminate scheduling errors.

Trigger Code#

import common from "../common/common.mjs";

export default {
  ...common,
  key: "calendly_v2-invitee-created",
  name: "New Invitee Created",
  description: "Emit new event when a new event is scheduled.",
  version: "0.0.5",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    scope: {
      propDefinition: [
        common.props.app,
        "scope",
      ],
    },
  },
  methods: {
    ...common.methods,
    getEvent() {
      return [
        "invitee.created",
      ];
    },
    getScope() {
      return this.scope;
    },
    generateMeta(body) {
      return {
        id: `${body.event}-${body.payload.created_at}`,
        summary: `${body.payload.name} - ${body.event}`,
        ts: Date.now(),
      };
    },
  },
};

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
Calendly	`app`	`app`	This component uses the Calendly app.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Scope	`scope`	`string`	Select a value from the drop down menu:`userorganization`

Trigger Authentication#

Calendly uses OAuth authentication. When you connect your Calendly account, Pipedream will open a popup window where you can sign into Calendly and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Calendly API.

Pipedream requests the following authorization scopes when you connect your account:

About Calendly#

Schedule meetings without the hassle. Never get double booked. Calendly works with your calendar to automate appointment scheduling.

Action#

Get Table Data on Nasdaq Data Link (Time Series and Table data)

Description:Retrieves data from a specific Nasdaq Data Link table with automatic pagination. Supports filtering by columns and rows. [See the documentation](https://docs.data.nasdaq.com/docs/tables-1)

Version:0.0.2

Key:nasdaq_data_link_time_series_and_table_data_-get-table-data

View on GitHub

Nasdaq Data Link (Time Series and Table data) Overview#

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.

Action Code#

import app from "../../nasdaq_data_link_time_series_and_table_data_.app.mjs";
import utils from "../../common/utils.mjs";

export default {
  key: "nasdaq_data_link_time_series_and_table_data_-get-table-data",
  name: "Get Table Data",
  description: "Retrieves data from a specific Nasdaq Data Link table with automatic pagination. Supports filtering by columns and rows. [See the documentation](https://docs.data.nasdaq.com/docs/tables-1)",
  version: "0.0.2",
  annotations: {
    destructiveHint: false,
    openWorldHint: true,
    readOnlyHint: true,
  },
  type: "action",
  props: {
    app,
    publisher: {
      propDefinition: [
        app,
        "publisher",
      ],
    },
    table: {
      propDefinition: [
        app,
        "table",
      ],
    },
    columns: {
      propDefinition: [
        app,
        "columns",
        ({
          publisher, table,
        }) => ({
          publisher,
          table,
        }),
      ],
    },
    filters: {
      type: "object",
      label: "Row Filters",
      description: "Filter rows based on column values. Use column names as keys and values to filter by. For example: `{ \"ticker\": \"SPY\", \"date\": \"2024-01-01\" }`. Only filterable columns can be used (check table metadata).",
      optional: true,
    },
    filterOperators: {
      type: "object",
      label: "Filter Operators",
      description: "Apply operators to filters. Format: `{ \"column.operator\": \"value\" }`. Available operators: `.gt` (greater than), `.lt` (less than), `.gte` (greater than or equal), `.lte` (less than or equal). Example: `{ \"date.gte\": \"2024-01-01\", \"date.lte\": \"2024-12-31\" }`",
      optional: true,
    },
  },
  async run({ $ }) {
    const {
      app,
      publisher,
      table,
      columns,
      filters,
      filterOperators,
    } = this;

    const response = await app.paginate({
      fn: app.tableData,
      args: {
        $,
        publisher,
        table,
        params: {
          ...utils.parseJson(filters),
          ...utils.parseJson(filterOperators),
          ...(Array.isArray(columns) && columns?.length
            ? {
              "qopts.columns": columns.join(","),
            }
            : undefined
          ),
        },
      },
    });

    $.export("$summary", `Successfully retrieved ${response.length} records`);
    return response;
  },
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
Nasdaq Data Link (Time Series and Table data)	`app`	`app`	This component uses the Nasdaq Data Link (Time Series and Table data) app.
Publisher Code	`publisher`	`string`	The publisher code (e.g., `MER`, `ETFG`, `AR`, `NDAQ`). This is the first part of the datatable code. If the code is `MER/F1`, then `MER` is the publisher code and `F1` is the table code.
Table Code	`table`	`string`	The table code (e.g., `F1`, `FUND`, `MWCS`, `RTAT10`). This is the second part of the datatable code. If the code is `MER/F1`, then `F1` is the table code.
Columns	`columns`	`string[]`	Select a value from the drop down menu.
Row Filters	`filters`	`object`	Filter rows based on column values. Use column names as keys and values to filter by. For example: `{ "ticker": "SPY", "date": "2024-01-01" }`. Only filterable columns can be used (check table metadata).
Filter Operators	`filterOperators`	`object`	Apply operators to filters. Format: `{ "column.operator": "value" }`. Available operators: `.gt` (greater than), `.lt` (less than), `.gte` (greater than or equal), `.lte` (less than or equal). Example: `{ "date.gte": "2024-01-01", "date.lte": "2024-12-31" }`

Action Authentication#

Nasdaq Data Link (Time Series and Table data) uses API keys for authentication. When you connect your Nasdaq Data Link (Time Series and Table data) account, Pipedream securely stores the keys so you can easily authenticate to Nasdaq Data Link (Time Series and Table data) APIs in both code and no-code steps.

To retrieve your API Key,

Navigate to your Nasdaq Data Link account and sign in
Click the dropdown on the top right
Go to “Account Settings”

About Nasdaq Data Link (Time Series and Table data)#

Nasdaq Data Link is a powerful, centralized, cloud-based technology platform providing access to more than 250 trusted data sets, available via API. Search, discover and build.