# EU TED Notices Search (`downright_blessing/eu-ted-notices-search`) Actor

Search EU Tenders Electronic Daily (TED) public procurement notices via the official TED API v3 Expert Search. Anonymous access. One Dataset row per notice. No HTML scraping.

- **URL**: https://apify.com/downright_blessing/eu-ted-notices-search.md
- **Developed by:** [Joao Pedro Rosado](https://apify.com/downright_blessing) (community)
- **Categories:** Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 ted notices

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 TED Public Procurement Notices Search

Search **EU Tenders Electronic Daily (TED)** public procurement notices via the **official TED API v3** Expert Search. One Dataset row per notice.

**No scraping.** Anonymous access (no API key). Prefill query: recent publication dates.

**API:** `POST https://api.ted.europa.eu/v3/notices/search`

**Docs:** [TED API](https://ted.europa.eu/) · [API portal](https://docs.ted.europa.eu/)

***

### What it does

1. Accepts a TED Expert Search `query` (e.g. `PD >= 20260920`).
2. POSTs to TED `/v3/notices/search` with `page`, `limit`, and `fields`.
3. Flattens each notice into a Dataset row (title prefers English when available).

### Who it's for

- EU procurement monitors, bid intelligence, compliance agents
- ETL that needs **official TED JSON** (not scraped HTML)
- Cross-border public-tender research

### Input summary

| Field | Required | Description |
|---|---|---|
| `query` | no | TED Expert Search string (prefill recent `PD`) |
| `page` | no | Page (default 1) |
| `limit` / `maxItems` | no | Cap ≤50 for smoke; hard Dataset cap |
| `fields` | no | TED field list; falls back to `ND,TI,PD` if rejected |

### Output fields

`noticeNumber` (ND), `title`, `publicationDate` (PD), `place`, `buyer`, `rawNotice` (slim), `sourceUrl`, `scrapedAt`.

### Pricing

**Pay-per-event** suggested:

- **Actor start** (`apify-actor-start`): **$0.04** / run
- **Dataset item** (`apify-default-dataset-item`): **$0.01** / notice

### Quick start

```json
{
  "query": "PD >= 20260920",
  "page": 1,
  "limit": 10,
  "maxItems": 25
}
```

#### Local smoke

```bash
npm run local
```

### Legal / data source

Data from the official **TED Europa** public API (`api.ted.europa.eu`). Not a legal opinion. Respect TED fair-use / rate policies.

***

### Português (resumo)

Busca **editais de compras públicas da UE (TED)** via **API oficial TED v3**. Sem scraping. PPE sugerido: ~US$0,04 + US$0,01/edital.

# Actor input Schema

## `query` (type: `string`):

TED Expert Search string, e.g. PD >= 20260920 or BT-31 = … See TED API docs.

## `page` (type: `integer`):

1-based page number for TED search.

## `limit` (type: `integer`):

Notices per API page (TED max typically 50).

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

Hard Dataset cap (also caps page limit).

## `fields` (type: `array`):

TED API field names. Default includes ND, TI, PD plus place/buyer fields. Falls back to ND,TI,PD if rejected.

## `requestDelayMs` (type: `integer`):

Delay in milliseconds between retries when TED rejects fields or rate-limits.

## Actor input object example

```json
{
  "query": "PD >= 20260920",
  "page": 1,
  "limit": 10,
  "maxItems": 25,
  "fields": [
    "ND",
    "TI",
    "PD",
    "place-of-performance",
    "organisation-name-buyer",
    "buyer-name"
  ],
  "requestDelayMs": 200
}
```

# Actor output Schema

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

Default dataset items.

# 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 = {
    "query": "PD >= 20260920",
    "fields": [
        "ND",
        "TI",
        "PD",
        "place-of-performance",
        "organisation-name-buyer",
        "buyer-name"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("downright_blessing/eu-ted-notices-search").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 = {
    "query": "PD >= 20260920",
    "fields": [
        "ND",
        "TI",
        "PD",
        "place-of-performance",
        "organisation-name-buyer",
        "buyer-name",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("downright_blessing/eu-ted-notices-search").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 '{
  "query": "PD >= 20260920",
  "fields": [
    "ND",
    "TI",
    "PD",
    "place-of-performance",
    "organisation-name-buyer",
    "buyer-name"
  ]
}' |
apify call downright_blessing/eu-ted-notices-search --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,downright_blessing/eu-ted-notices-search"
        }
    }
}
```

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/HgnCSkjJnHUv9b3Wc/builds/NXP2KaMJPvOdXpWPO/openapi.json