# Recent EU TED Procurement Leads

**Use case:** 

Ready-made sample run for EU Tenders Electronic Daily notices. Pull 100 normalized procurement leads from a known-good TED publication week with buyer, CPV, dates, values, source links, quality reports, and Parquet output.

## Input

```json
{
  "dateFrom": "2025-08-01",
  "dateTo": "2025-08-07",
  "country": "FRA",
  "cpv": "72",
  "maxResults": 100,
  "includeParquet": true,
  "includeLots": true
}
```

## Output

```json
{
  "publication_date": {
    "label": "Publication date",
    "format": "string"
  },
  "buyer_country_code": {
    "label": "Buyer country",
    "format": "string"
  },
  "buyer_name": {
    "label": "Buyer",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "main_cpv_code": {
    "label": "Main CPV",
    "format": "string"
  },
  "estimated_value": {
    "label": "Estimated value",
    "format": "string"
  },
  "estimated_value_currency": {
    "label": "Estimated currency",
    "format": "string"
  },
  "procurement_stage": {
    "label": "Stage",
    "format": "string"
  },
  "source_url": {
    "label": "Official source URL",
    "format": "string"
  },
  "record_id": {
    "label": "Record ID",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [EU TED Tenders & Procurement Leads](https://apify.com/arclay-tn/eu-ted-procurement-intelligence.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/arclay-tn/eu-ted-procurement-intelligence.md) to learn more, explore other use cases, and run it yourself.


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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/arclay-tn/eu-ted-procurement-intelligence.md

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).
