# TED Procurement Watchlist for CRM Updates

**Use case:** 

Monitor a TED procurement watchlist for later notices and confirmed changes. Replace the sample tender and CRM reference. The first run establishes history; later runs retain status rows and eligible events for your CRM. Copied Tasks require your own persistent store and watchlist namespace. Shared histories retain every input CRM reference.

## Input

```json
{
  "targets": [
    {
      "noticeId": "566535-2025",
      "externalRef": "demo-crm-deal"
    }
  ],
  "mode": "monitor",
  "stateStoreName": "ted-watchlists",
  "watchlistId": "crm-task-demo-20260910",
  "changesOnly": true,
  "includeLots": true,
  "includeAwards": true,
  "includeChanges": true,
  "includeDerivedMetrics": true,
  "maxNoticesPerProcedure": 5,
  "maxTotalNotices": 5,
  "maxDiscoveryNotices": 100
}
```

## Output

```json
{
  "record_type": {
    "label": "record type",
    "format": "string"
  },
  "external_ref": {
    "label": "external ref",
    "format": "string"
  },
  "input_indices": {
    "label": "input indices (join to target statuses)",
    "format": "array"
  },
  "event_id": {
    "label": "event id",
    "format": "string"
  },
  "event_type": {
    "label": "event type",
    "format": "string"
  },
  "origin": {
    "label": "origin",
    "format": "string"
  },
  "crm_eligible": {
    "label": "crm eligible",
    "format": "boolean"
  },
  "is_backfill": {
    "label": "is backfill",
    "format": "boolean"
  },
  "before": {
    "label": "before"
  },
  "after": {
    "label": "after"
  },
  "source_url": {
    "label": "source url",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [EU TED Tender & Award Monitor](https://apify.com/automa-flow/eu-ted-tender-history-award-tracker.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automa-flow/eu-ted-tender-history-award-tracker.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/automa-flow/eu-ted-tender-history-award-tracker.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).