# 🇪🇺 EU TED Tender & Award Delta Feed — Procurement Watch (`nexgenwatch/eu-ted-tender-award-watch`) Actor

EU TED tender & award delta feed — new tenders, awards, and procedure deltas across all member states; watch mode, honest terminals.

- **URL**: https://apify.com/nexgenwatch/eu-ted-tender-award-watch.md
- **Developed by:** [NexGen Watch](https://apify.com/nexgenwatch) (community)
- **Categories:** Business
- **Stats:** 2 total users, 0 monthly users, 86.7% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $13.40 / 1,000 procedure deltas

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **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 usage examples, see the [API](#api) section below.

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).

# README

## EU TED Tender-to-Award & Incumbent Watch

Collect official EU procurement notices, link tenders to awards by published
identifiers, and monitor award/incumbent changes.

This actor queries the official **anonymous TED Search API** (Tenders Electronic
Daily, `api.ted.europa.eu/v3/notices/search`, logged-out, no key) and returns
normalized tender and award notice records with buyer, CPV, procedure, lot,
value, winner, source URL, and observation fields when TED publishes them.
**Snapshot mode** returns current notices. **Watch mode** seeds a private
baseline, then emits procedure-level additions and published award/incumbent
changes on later scheduled runs.

### Output record types

- `tender_notice` / `award_notice` — one normalized notice each (award = TED
  `form-type=result`), with `publication_number`, `procedure_key`, buyer/CPV,
  values, winners, `content_hash`, `source_url`, `observed_at`.
- `procedure_delta` — watch-mode change: `new_opportunity`, `notice_updated`,
  `award_published` (with `prior_publication_numbers`, `winner_after`), etc.
- `source_receipt` — always pushed, never billed: terminal
  (`NORMAL`/`GENUINE_EMPTY`/`PARTIAL`/`BLOCKED`), reason, counts, canary flag.

### Use cases

Suppliers monitor relevant published opportunities/awards; bid teams maintain
tender-to-award records; procurement analysts assemble buyer/CPV histories;
agencies watch named markets for newly published result notices; data teams
consume an official-source normalized feed.

### Honest limits

Linking uses official procedure/lot identifiers only and may remain empty; TED
documents missing winner data in some results; values stay in original currency;
the actor does not infer cancellation, hidden bids, supplier performance, or
contract intent; live queries are bounded to 366 days / 5,000 items; only
published notices are accessible; outages/blocks/drift fail loud.

### Compliance

Official public, logged-out published notices only; no login, CAPTCHA defeat,
private/licensed source, or always-on process; the actor stops on objection.
Buyers remain responsible for lawful use.

### Pricing

| Event | FREE | BRONZE | SILVER | GOLD+ |
|---|---|---|---|---|
| Actor Start (`apify-actor-start`) | $0.02 | $0.02 | $0.02 | $0.02 |
| Tender notice (`tender_notice`) | $0.004 | $0.0036 | $0.0032 | $0.00268 |
| Award notice (`award_notice`) | $0.006 | $0.0054 | $0.0048 | $0.00402 |
| Procedure delta (`procedure_delta`) | $0.02 | $0.018 | $0.016 | $0.0134 |
| Source check (`source_check`) | $0.10 | $0.09 | $0.08 | $0.067 |

Prices are the filed pay-per-event amounts per plan tier (PLATINUM/DIAMOND match GOLD). Blocked and refused runs do not intentionally charge value events.

# Actor input Schema

## `queryMode` (type: `string`):

structured builds a bounded AND query from the supplied filters; expert sends your bounded TED expert query verbatim after lexical safety checks.

## `structuredQuery` (type: `object`):

Used when queryMode is structured. At least one of keywords, cpvCodes, buyerCountries, buyerNames must be supplied.

## `expertQuery` (type: `string`):

Used when queryMode is expert. 3-2000 chars, one statement, no control chars/comments/URLs, must contain a bounded PD range <=366 days.

## `watchMode` (type: `boolean`):

Seed a private baseline and emit only procedure-level deltas on later runs. First run emits zero deltas.

## `baselineId` (type: `string`):

Named watch baseline (^\[A-Za-z0-9\_-]{3,64}$). If unset, derived from the canonical query hash. Changing the canonical query derives a new baseline.

## `language` (type: `string`):

ISO-639 alpha-3 uppercase (e.g. ENG). Preferred returned language only; no translation.

## `maxItems` (type: `integer`):

Maximum notice records or deltas to emit this run (receipts excluded).

## `includeRaw` (type: `boolean`):

Attach a bounded raw TED field map (<=64 KiB) to each record.

## `linkAwards` (type: `boolean`):

Build procedure/lot links from official returned identifiers only; never fuzzy-link across procedures.

## Actor input object example

```json
{
  "queryMode": "structured",
  "structuredQuery": {
    "cpvCodes": [
      "72000000"
    ],
    "buyerCountries": [
      "DEU"
    ]
  },
  "watchMode": false,
  "language": "ENG",
  "maxItems": 50,
  "includeRaw": false,
  "linkAwards": true
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "structuredQuery": {
        "cpvCodes": [
            "72000000"
        ],
        "buyerCountries": [
            "DEU"
        ]
    },
    "maxItems": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("nexgenwatch/eu-ted-tender-award-watch").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "structuredQuery": {
        "cpvCodes": ["72000000"],
        "buyerCountries": ["DEU"],
    },
    "maxItems": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("nexgenwatch/eu-ted-tender-award-watch").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "structuredQuery": {
    "cpvCodes": [
      "72000000"
    ],
    "buyerCountries": [
      "DEU"
    ]
  },
  "maxItems": 50
}' |
apify call nexgenwatch/eu-ted-tender-award-watch --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=nexgenwatch/eu-ted-tender-award-watch",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/NYmd60AufJeamfq3r/builds/ScMIIuW4reEbJNwZf/openapi.json