Nasdaq Data Link (Time Series and Table data) ACTION
Export Table (Bulk Download)
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
- Action
- Writes data
- API key
- SDK
- MCP
IMPLEMENTATION
Call this tool
Connect a user's Nasdaq Data Link (Time Series and Table data) account once, then configure and run Export Table (Bulk Download) from your backend or agent.
import { PipedreamClient } from "@pipedream/sdk"
const pd = new PipedreamClient({
projectId: process.env.PIPEDREAM_PROJECT_ID!,
clientId: process.env.PIPEDREAM_CLIENT_ID!,
clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
projectEnvironment: "production",
})
const result = await pd.actions.run({
id: "nasdaq_data_link_time_series_and_table_data_-export-table",
externalUserId: "{external_user_id}", // any stable ID for this user in your system
configuredProps: {
nasdaq_data_link_time_series_and_table_data_: { authProvisionId: "apn_xxxxxxx" },
publisher: "Publisher Code",
table: "Table Code",
},
})
console.log(result)curl -X POST https://api.pipedream.com/v1/connect/{project_id}/actions/run \
-H "Content-Type: application/json" \
-H "X-PD-Environment: production" \
-H "Authorization: Bearer {access_token}" \
-d '{
"external_user_id": "{external_user_id}",
"id": "nasdaq_data_link_time_series_and_table_data_-export-table",
"configured_props": {
"nasdaq_data_link_time_series_and_table_data_": { "authProvisionId": "apn_xxxxxxx" },
"publisher": "Publisher Code",
"table": "Table Code"
}
}'// accessToken: mint a short-lived token with the Connect SDK — see the MCP guide
const transport = new StreamableHTTPClientTransport(
new URL("https://remote.mcp.pipedream.net/v3"),
{
requestInit: {
headers: {
Authorization: `Bearer ${accessToken}`,
"x-pd-project-id": "{project_id}",
"x-pd-environment": "production",
"x-pd-external-user-id": "{external_user_id}", // any stable ID for this user in your system
"x-pd-app-slug": "nasdaq_data_link_time_series_and_table_data_",
},
},
},
)
const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)
const { tools } = await mcp.listTools()
// listTools() hands your model this tool's input schema, so it can
// fill the arguments itself:
const result = await mcp.callTool({
name: "nasdaq_data_link_time_series_and_table_data_-export-table",
arguments: {
publisher: "Publisher Code",
table: "Table Code",
},
})SCHEMA
Inputs
Pipedream supplies the connected account. Your application provides the operation-specific values below. Dynamic inputs are resolved against that user's account.
| Property | Type | Description |
|---|---|---|
publisher Publisher Code | 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. Required |
table Table Code | 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. Required |
columns Columns | string[] | Request data from specific columns. If you want to query for multiple columns, include the column names as array items Optional Dynamic |
filters Row 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). Optional |
filterOperators Filter Operators | 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" } Optional |
REFERENCE
Tool details
Behavior hints are published with the component in the Pipedream registry and surface as MCP tool annotations, so an agent can reason about a tool before it calls it.
- Registry key
- nasdaq_data_link_time_series_and_table_data_-export-table
- Version
- 0.0.3
- App
- Nasdaq Data Link (Time Series and Table data)
- Authentication
- API key
- Read-only
- No
- Destructive
- No
- Open world
- Yes
- Source
- View on GitHub ↗