# EU Contract Awards (TED): Clean, with Discount & Bids (`mirkotornani/ted-eu-contract-awards-clean`) Actor

Clean, dated, verifiable EU public-procurement award records from TED: buyer, winner, awarded vs estimated value, discount %, number of bids, CPV, dates. Framework agreements detected, outliers flagged. By ABoringBot.

- **URL**: https://apify.com/mirkotornani/ted-eu-contract-awards-clean.md
- **Developed by:** [Mirko Tornani](https://apify.com/mirkotornani) (community)
- **Categories:** Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## EU Public Contract Awards (TED) — Clean, Verified, with Discount & Bids

**By [ABoringBot](https://aboringbot.com).** Who won which EU public contract, for how much, against how many bidders, and how far below the estimate. Every row is dated and links back to the official notice.

### What problem does this solve?

TED (Tenders Electronic Daily) publishes every EU public-contract award above the threshold. The raw data is a mess to work with:

- names come as multilingual objects (`{"deu": [...], "eng": [...]}`), and values, winners and bid counts come as **parallel arrays per lot** that often don't line up;
- **framework agreements** report *ceilings*, not real spend. Mixed in with real awards, they ruin any average;
- estimated values sit in two different fields (lot level or procedure level), and currencies are separate from the amounts;
- there's no "discount" and no "how competitive was it" field, so you have to compute them yourself.

This Actor turns that into **one flat row per awarded lot**:

- buyer, winner, **awarded value**, **estimated value**, **discount %** (estimate vs award), **number of bids**, CPV, country, publication date and award date;
- **framework agreements detected** and excluded by default, so they don't get mixed into real spend;
- a **completeness flag** (`complete` / `partial` / `minimal`) on every row, so you know what to trust;
- **outliers flagged rather than dropped**: discount above 60 % in absolute value, or more than 50 bids. You decide what to do with them;
- **`retrieved_at`** (UTC) and the **TED URL** on every row, so each figure can be checked against the source.

Competing TED Actors return raw notices. This one returns award records you can analyse.

### Who is it for?

Bid managers who want to benchmark competitors and typical discounts, sales teams in construction (CPV 45) or IT (CPV 72) looking for buyers, journalists and researchers studying competition in public procurement, and data teams who need a clean feed without writing a TED parser.

### Input

| Field | Default | Notes |
|---|---|---|
| `countries` | `IT, ES, DE` | ISO-2 or ISO-3 code of the buyer's country (any EU/EEA country works) |
| `cpvPrefixes` | `45, 72` | CPV prefix, 2–8 digits (45 = construction works, 72 = IT services) |
| `lastNDays` | `7` | Publication window ending today |
| `dateFrom` / `dateTo` | – | Explicit publication date range (YYYY-MM-DD); overrides `lastNDays` |
| `minValue` | – | Minimum awarded value in EUR |
| `excludeFrameworkAgreements` | `true` | Framework values are ceilings, not spend |
| `onlyCompleteRows` | `false` | Keep only rows with winner + EUR value + number of bids |
| `maxNotices` | – | Optional safety cap |

```json
{ "countries": ["IT", "DE"], "cpvPrefixes": ["45"], "lastNDays": 14, "minValue": 500000 }
```

### Output

Real rows from TED, as returned by this Actor.

Hannover, notice **726403-2026** (complete row, no estimate published):

```json
{
  "notice_id": "726403-2026",
  "url": "https://ted.europa.eu/en/notice/-/detail/726403-2026",
  "row": 1, "rows_in_notice": 1,
  "country": "DEU", "cpv_division": ["45"],
  "buyer": "Landeshauptstadt Hannover - Fachbereich Gebäudemanagement",
  "winner": "H.O. Schlüter GmbH",
  "awarded_value": 1114530.38, "awarded_currency": "EUR", "awarded_value_eur": 1114530.38,
  "estimated_value": null, "estimated_currency": null, "estimated_value_eur": null,
  "discount_pct": null,
  "tenders_received": 3,
  "publication_date": "2026-10-20", "award_date": "2026-10-01",
  "framework_agreement": false, "lot_alignment": "direct",
  "completeness": "complete", "is_complete": true,
  "outlier": false, "outlier_flags": [],
  "retrieved_at": "2026-10-20T11:50:11+00:00",
  "source": "Source: TED, European Union; modified from the original",
  "licence": "Commission Decision 2011/833/EU"
}
```

A row with a discount (ASST Brianza → RADAR SRL, notice 579172-2026): awarded €12,042,549.91 against an estimate of €13,684,138.55, so **discount 12.0 %**, from **7 bids**.

Field notes:

- `discount_pct` = (estimated − awarded) / estimated × 100. It is computed only when both values are in EUR and the row is not a framework agreement. A negative value means the award came in above the estimate.
- `completeness`: `complete` = winner + EUR awarded value + number of bids, and not a framework agreement; `partial` = winner or value present; `minimal` = neither.
- `lot_alignment`: `ambiguous` when TED's per-lot arrays don't match one-to-one. Values we couldn't assign safely are left `null` instead of being guessed.
- `outlier_flags`: `discount_abs_gt_60pct`, `bids_gt_50`.

The dataset has three views: **Overview**, **Competition & discount**, **Provenance**.

### Coverage limits (please read)

The Actor can only clean what buyers actually publish:

- **Estimated value** (needed for the discount) is present in about **90–95 % of Italian** awards, **27–40 % of Spanish** awards and only **8–10 % of German** awards. So discount analysis is solid for Italy and thin for Germany.
- The number of bids and the winner are sometimes missing. Use `completeness` or `onlyCompleteRows`.
- Only standard contract-award notices (`can-standard`, eForms) published on TED are covered. Below-threshold national tenders are not on TED.
- Values in currencies other than EUR are kept in `awarded_value` / `awarded_currency` but are **not converted**, so the `*_eur` fields stay null for them.
- Outliers are often data-entry errors by the buyer (for example a discount close to 100 %). They are flagged rather than corrected.

### Licence and attribution

Data comes from the TED API v3 (anonymous access), published by the Publications Office of the European Union and reused under **Commission Decision 2011/833/EU**, which allows commercial reuse with attribution. Rows are restructured and enriched (discount, flags), so: **"Source: TED, European Union; modified from the original."** Every row carries this attribution in `source`. If you republish the data, keep it. This Actor is not affiliated with or endorsed by the European Union.

### Pricing

Pay per result: you pay only for the award rows delivered (see the Pricing tab).

### FAQ

**How fresh is the data?** It is fetched live from TED on every run. `retrieved_at` tells you exactly when.
**Can I schedule it?** Yes. A daily Apify schedule with `lastNDays: 2` gives you a rolling feed.
**Why did a row disappear when I set `minValue`?** Rows without an awarded value in EUR can't pass a EUR threshold.

# Actor input Schema

## `countries` (type: `array`):

ISO-2 (IT, ES, DE…) or ISO-3 (ITA…) codes of the contracting authority's country.

## `cpvPrefixes` (type: `array`):

CPV code prefixes, 2–8 digits. 45 = construction works, 72 = IT services.

## `lastNDays` (type: `integer`):

Publication window ending today. Ignored if 'Date from' is set.

## `dateFrom` (type: `string`):

YYYY-MM-DD. Overrides 'Last N days'.

## `dateTo` (type: `string`):

YYYY-MM-DD. Defaults to today.

## `minValue` (type: `integer`):

Keep only rows with an awarded value in EUR at or above this amount. Rows without a EUR value are dropped when set.

## `excludeFrameworkAgreements` (type: `boolean`):

Framework 'values' are ceilings, not real spend; excluded by default.

## `onlyCompleteRows` (type: `boolean`):

Keep only rows with winner, EUR awarded value and number of bids.

## `maxNotices` (type: `integer`):

Optional cap on notices fetched from TED.

## Actor input object example

```json
{
  "countries": [
    "IT",
    "ES",
    "DE"
  ],
  "cpvPrefixes": [
    "45",
    "72"
  ],
  "lastNDays": 7,
  "excludeFrameworkAgreements": true,
  "onlyCompleteRows": false
}
```

# Actor output Schema

## `overview` (type: `string`):

All award rows, Overview view selected.

## `competition` (type: `string`):

Bids, discount %, outlier flags, framework/lot alignment.

## `provenance` (type: `string`):

TED URL, dates, retrieved_at, source and licence.

# 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 = {
    "countries": [
        "IT",
        "ES",
        "DE"
    ],
    "cpvPrefixes": [
        "45",
        "72"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("mirkotornani/ted-eu-contract-awards-clean").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 = {
    "countries": [
        "IT",
        "ES",
        "DE",
    ],
    "cpvPrefixes": [
        "45",
        "72",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("mirkotornani/ted-eu-contract-awards-clean").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "countries": [
    "IT",
    "ES",
    "DE"
  ],
  "cpvPrefixes": [
    "45",
    "72"
  ]
}' |
apify call mirkotornani/ted-eu-contract-awards-clean --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,mirkotornani/ted-eu-contract-awards-clean"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/uwrosmJX7pPW5dMYl/builds/CaxPJNpmmbs5ZiAzG/openapi.json