# New Table Row Extracted — AlgoDocs

> Emit new event for each individual table row extracted from an AlgoDocs document (polls GET /v1/extracted_data/{documentId}). AlgoDocs represents a record's extracted data as a flat object, with any table/repeating field appearing as an…

- Key: `algodocs-new-table-row-extracted`
- Type: Trigger (Polling)
- Version: 0.0.1
- App: AlgoDocs (`algodocs`) — https://pipedream.com/apps/algodocs.md
- This page (HTML): https://pipedream.com/apps/algodocs/triggers/new-table-row-extracted
- Source: https://github.com/PipedreamHQ/pipedream/blob/master/components/algodocs/sources/new-table-row-extracted/new-table-row-extracted.mjs

## Description

Emit new event for each individual table row extracted from an AlgoDocs document (polls GET /v1/extracted_data/{documentId}). AlgoDocs represents a record's extracted `data` as a flat object, with any table/repeating field appearing as an array-valued property (e.g. `data.LineItems`). Unlike **New Extracted Data** which emits one event per extraction record, this source emits one event per row within each such array field; records with no array-valued field in `data` produce no events. Requires a document ID — run **List Documents** to find one. An optional filter narrows emissions to rows whose JSON representation contains a specified substring. [See the documentation](https://api.algodocs.com/).

## Props

| Prop | Type | Required | Description |
|---|---|---|---|
| `timer` | `$.interface.timer` | Yes | Pipedream will poll the AlgoDocs API on this schedule |
| `documentId` | `string` | Yes | The ID of the document. Run the List Documents action to get a list of valid document IDs. Example: 789012. |
| `tableRowFilter` | `string` | No | Optional. A free-form substring matched client-side against the JSON representation of each extracted table row; only rows whose JSON contains this substring are emitted. Leave blank to emit every row. Example: InvoiceNumber or Acme. |

## Returns

Events emitted by AlgoDocs.

## Run it

**TypeScript**

```ts
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 deployed = await pd.triggers.deploy({
  id: "algodocs-new-table-row-extracted",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    algodocs: { authProvisionId: "apn_xxxxxxx" },
    timer: { "intervalSeconds": 900 },
    documentId: "Document ID",
  },
  webhookUrl: "https://example.com/webhooks/algodocs",
})

console.log(deployed.id)
```

**cURL**

```bash
curl -X POST https://api.pipedream.com/v1/connect/{project_id}/triggers/deploy \
  -H "Content-Type: application/json" \
  -H "X-PD-Environment: production" \
  -H "Authorization: Bearer {access_token}" \
  -d '{
    "external_user_id": "{external_user_id}",
    "id": "algodocs-new-table-row-extracted",
    "webhook_url": "https://example.com/webhooks/algodocs",
    "configured_props": {
      "algodocs": { "authProvisionId": "apn_xxxxxxx" },
      "timer": { "intervalSeconds": 900 },
      "documentId": "Document ID"
    }
  }'
```

**MCP**

MCP servers expose AlgoDocs actions as on-demand tools.

New Table Row Extracted is an event source, so your application deploys it with the Connect SDK or API and then either receives each event at a webhook URL or retrieves events on demand with the trigger events API.

## Event delivery

Every event is sent to the HTTP endpoint you choose when you deploy the source. Or: no webhook required — your app or agent can fetch recent events from the [trigger events API](https://pipedream.com/docs/connect/api-reference/list-trigger-events.md) instead.

---

- App: https://pipedream.com/apps/algodocs.md · All apps: https://pipedream.com/apps