# TED EU Procurement Intelligence (`wakey7dev/ted-procurement-intelligence`) Actor

Search EU Tenders Electronic Daily for public contracts — value, buyer, deadline. Bidding intelligence, market analysis, competitive procurement.

- **URL**: https://apify.com/wakey7dev/ted-procurement-intelligence.md
- **Developed by:** [Chris Wakefield](https://apify.com/wakey7dev) (community)
- **Categories:** Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## 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

![Chris The Dev](https://raw.githubusercontent.com/chriswakefield87/appstore-screenshot-translator/main/assets/actor-banner.png)

## TED Procurement Intelligence Normalizer

Live EU public-procurement intelligence from the official TED Search API v3. This Actor sanitizes multilingual and inconsistent TED notice fields into stable, deduplicated records for tender monitoring, supplier research and procurement analytics.

### Why use it?

- No API key or registration required for TED's published-notice search.
- Cleans buyer names and multilingual values.
- Deduplicates notices by publication or procedure identifier.
- Returns buyer, country, CPV, deadline, estimated value and source metadata.
- Human-readable summary is also saved in the Output key-value record.

### Inputs

| Field | Type | Description |
|---|---|---|
| `query` | string | TED expert query, e.g. `publication-date >= 20260801` |
| `maxResults` | integer | Maximum notices, 1–250 (default 20) |

#### Example input

```json
{"query":"publication-date >= 20260801","maxResults":10}
```

### Example output

```json
{"publicationNumber":"556964-2026","publicationDate":"2026-08-12","buyerNormalized":"Example Public Authority","buyerCountry":"DE","deadline":"2026-09-30","estimatedValue":"250000 EUR","cpv":"72000000","source":"TED Search API v3"}
```

### Use cases

- Tender and RFP monitoring for suppliers and consultancies.
- Procurement market sizing and buyer discovery.
- Public-sector transparency and research.
- Daily scheduled feeds into CRM, spreadsheets or data warehouses.

### Data source

Data is fetched live from the [TED Search API v3](https://api.ted.europa.eu/v3/notices/search), operated by the Publications Office of the European Union. TED published notices are open for analysis and reuse. Always verify deadlines and legal details against the official notice.

### Pricing

Pay per result. The Actor is designed as a value-add normalizer rather than a raw API proxy.

# Actor input Schema

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

TED expert query, for example publication-date >= 20260801

## `maxResults` (type: `integer`):

Maximum notices to return

## Actor input object example

```json
{
  "query": "publication-date >= 20260801",
  "maxResults": 20
}
```

# Actor output Schema

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

Deduplicated normalized notices

## `summary` (type: `string`):

Human-readable run summary

## `stats` (type: `string`):

Machine-readable statistics

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("wakey7dev/ted-procurement-intelligence").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("wakey7dev/ted-procurement-intelligence").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 '{}' |
apify call wakey7dev/ted-procurement-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,wakey7dev/ted-procurement-intelligence"
        }
    }
}

```

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/FdyYtE3tygfDBQCD3/builds/nG9muvOnjLZjPNZXD/openapi.json