# TED EU Tenders Scraper API — Official Notices Search (`adobeflex/ted-lite`) Actor

Search EU TED public procurement notices via official API. Title, buyer, deadline, CPV, URL. No browser. For bid intelligence and tender monitoring.

- **URL**: https://apify.com/adobeflex/ted-lite.md
- **Developed by:** [Yahor](https://apify.com/adobeflex) (community)
- **Categories:** AI, Developer tools, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 notice rows

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/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

## TED Lite — EU public tenders (official TED API)

[![TED Lite](https://apify.com/actor-badge?actor=adobeflex/ted-lite)](https://apify.com/adobeflex/ted-lite)

**Fast, cheap, structured EU procurement notices** from the official TED API — no browser, no brittle HTML.

### Why this Actor (vs other TED scrapers)

| | TED Lite | Typical TED scrapers |
|--|----------|----------------------|
| Source | Official `api.ted.europa.eu` | Browser / HTML |
| Speed | Seconds | Often minutes |
| Cost | ~$0.003 / notice | Often higher + CU |
| Schema | **Canonical tender.v1** (works with our gate/diff/ICS) | Varies |
| Auth | None | Cookies / proxies |

### Output (every notice)

```json
{
  "notice_id": "12345-2026",
  "title": "...",
  "buyer": "...",
  "deadline": "2026-08-01",
  "url": "https://ted.europa.eu/...",
  "portal": "TED",
  "country": "DEU",
  "publication_date": "20260701",
  "codes": ["72000000"],
  "amount": null,
  "currency": null,
  "status": "cn-standard"
}
```

### Pipeline

```
ted-lite → tender-quality-gate → tender-id-deduper → tender-deadline-ics
                              ↘ tender-watch-diff (daily)
```

### Input

- `cpv` (prefill `72000000` IT), `buyerCountry`, `text`, `noticeType` (default `cn-standard`)
- `publicationDateFrom` / `publicationDateTo` — if from is empty, **last 90 days** is applied automatically (stops decade-old empty rows)
- `limit` (default 20), `page`, `scope` (`ACTIVE`/`ALL`)
- `expertQuery` — full TED query override (skips auto date floor)

#### Example input

```json
{
  "cpv": "72000000",
  "limit": 10,
  "noticeType": "cn-standard",
  "scope": "ACTIVE",
  "publicationDateFrom": "2026-04-01"
}
```

### Pricing (PPE)

- Actor start ≈ $0.00005
- TED search $0.001
- **Notice row $0.003** (primary)

Example: 50 notices ≈ **$0.15**

### Built for agents

Clean JSON, no login, predictable fields — ideal for MCP / agentic runs.

# Actor input Schema

## `text` (type: `string`):

Free-text match against notice titles (TED ~ operator).

## `cpv` (type: `string`):

e.g. 72000000 for IT services

## `buyerCountry` (type: `string`):

ISO country code used by TED (e.g. PL, DE, FR).

## `noticeType` (type: `string`):

TED notice-type value (default cn-standard = contract notice).

## `publicationDateFrom` (type: `string`):

Only notices on/after this date. If empty, defaults to last 90 days (avoids ancient TED hits with empty fields).

## `publicationDateTo` (type: `string`):

Only notices on/before this date.

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

If set, used as full TED expert query instead of building from fields above.

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

Result page number (1-based).

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

Max notices per page (1-100).

## `scope` (type: `string`):

ACTIVE or ALL

## Actor input object example

```json
{
  "cpv": "72000000",
  "noticeType": "cn-standard",
  "publicationDateFrom": "2026-04-01",
  "page": 1,
  "limit": 20,
  "scope": "ACTIVE"
}
```

# 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 = {
    "cpv": "72000000",
    "noticeType": "cn-standard",
    "publicationDateFrom": "2026-04-01",
    "scope": "ACTIVE"
};

// Run the Actor and wait for it to finish
const run = await client.actor("adobeflex/ted-lite").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 = {
    "cpv": "72000000",
    "noticeType": "cn-standard",
    "publicationDateFrom": "2026-04-01",
    "scope": "ACTIVE",
}

# Run the Actor and wait for it to finish
run = client.actor("adobeflex/ted-lite").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 '{
  "cpv": "72000000",
  "noticeType": "cn-standard",
  "publicationDateFrom": "2026-04-01",
  "scope": "ACTIVE"
}' |
apify call adobeflex/ted-lite --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/w7G6S74sdRnu7Y6yc/builds/H6l3mShrK8zGXv5kT/openapi.json