# EU Contract Awards Tracker — Who Won Public Tenders (TED) (`aspiring_barricade/eu-contract-awards-tracker`) Actor Track contract AWARD notices from the official TED API: who won EU public contracts, for how much. Competitive intelligence with relevance scoring, dedup and new-only alerts. - **URL**: https://apify.com/aspiring\_barricade/eu-contract-awards-tracker.md - **Developed by:** [Joachim Pouchain](https://apify.com/aspiring_barricade) (community) - **Categories:** Developer tools, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 ## EU Contract Awards Tracker — Who Won Public Tenders (TED) Track **EU contract award notices** from the official **TED (Tenders Electronic Daily)** API and find out **who won public contracts**, for how much, and from which buyer. This EU contract awards tracker is built for **competitive intelligence**: instead of open calls, it surfaces the *results* of public procurement — winners, values and buyers — with a built-in **relevance score**, automatic **deduplication** and a **new-only alert mode**. Unlike a raw dump, every award is **scored 0–100** against your keywords and **de-duplicated** across notice versions, so the most relevant wins surface first — and you can watch a specific competitor with the `winner_name` filter. ### Why this actor - **Official source, no scraping tricks.** Data comes from the public TED v3 Search API (contract award notices) — no residential proxies, no anti-bot games. - **Winner-first output.** `award_winner`, `value_amount` and `buyer_name` are front and centre, so you instantly see who won what. - **Track a competitor.** Set `winner_name` to follow every contract a given supplier wins across the EU. - **Relevance scoring (0–100).** Keywords weighted across title, CPV and description — sort or filter by `relevance_score`. - **Deduplication + new-only alerts.** Collapse re-published notices, and on scheduled runs return only awards you haven't seen before. - **Stable flat schema.** Identical field names across our TED, BOAMP and Awards actors. ### Input | Field | Type | Description | |-------|------|-------------| | `keywords` | array | Search terms (full text over title + description), OR-combined. **Required.** | | `winner_name` | string | Track contracts won by a specific company (fuzzy match). | | `country` | array | Buyer country, ISO alpha-2 or alpha-3 (e.g. `FR`, `DE`). Empty = all EU/EEA. | | `cpv` | array | CPV codes (e.g. `72000000`). | | `date_from` / `date_to` | string | `YYYY-MM-DD`. Empty `date_from` = last 30 days. | | `notice_type` | array | Advanced: award notice-type codes. Default: `can-standard`, `can-social`, `can-desg`. | | `min_relevance_score` | integer | Drop results below this 0–100 score. | | `alert_new_only` | boolean | Return only awards new since the last run. | | `alert_key` | string | Namespace so different saved searches keep separate history. | | `max_items` | integer | Maximum awards to return. | #### Example input ```json { "keywords": ["software", "consulting"], "winner_name": "Atos", "country": ["FR"], "date_from": "2026-01-01", "alert_new_only": false, "max_items": 100 } ```` ### Output Each dataset item is a flat, stable record with the **winner highlighted**: ```json { "source": "TED", "notice_id": "441921-2026", "title": "Framework agreement — IT software and services", "buyer_name": "Riigi Tugiteenuste Keskus", "buyer_country": "EST", "cpv_codes": ["72000000"], "description": "Award of a framework agreement for software licences.", "value_amount": 6000000, "value_currency": "EUR", "publication_date": "2026-06-26", "deadline_date": null, "notice_type": "can-standard", "award_winner": "AS Atea", "source_url": "https://ted.europa.eu/en/notice/-/detail/441921-2026", "relevance_score": 80 } ``` #### Output fields - `source` — always `TED`. - `notice_id` — TED publication number (stable id). - `award_winner` — the winning supplier(s) (multiple winners joined by `;`). - `value_amount`, `value_currency` — awarded contract value when published. - `buyer_name`, `buyer_country` — contracting authority and ISO country. - `title`, `description` — best available language (English preferred). - `cpv_codes` — array of CPV classification codes. - `publication_date` — ISO `YYYY-MM-DD`. - `notice_type` — TED award notice type (`can-*`). - `source_url` — direct link to the notice on ted.europa.eu. - `relevance_score` — keyword relevance, 0–100. ### Use cases #### Competitive intelligence Follow a competitor with `winner_name` and see every public contract they win across the EU — values, buyers, sectors. #### Win/loss & market sizing Aggregate awards by CPV, country and buyer to size addressable markets and benchmark typical contract values. #### Partner & supplier discovery Identify active winners in a sector as potential partners, subcontractors or acquisition targets. #### Monitoring & alerts Schedule with `alert_new_only: true` to get only fresh awards — ideal for tracking a rival's wins without noise. #### RAG / LLM pipelines The clean flat schema feeds award-intelligence agents and retrieval-augmented summaries. ### Pricing This actor uses **pay-per-result** pricing: **$0.005 per award returned** (per dataset item), plus Apify platform usage. A 100-result run costs about **$0.50** in result fees. `max_items` caps your spend and `alert_new_only` keeps scheduled monitoring cheap. ### Data source & licensing Data is retrieved from the official **TED (Tenders Electronic Daily)** API of the Publications Office of the European Union (contract award notices). TED data is re-usable for commercial and non-commercial purposes under **Commission Decision 2011/833/EU**, provided the source is acknowledged. No warranty is given about the completeness or accuracy of the underlying notices. ### Notes & limits - Defaults to the last 30 days when no `date_from` is given, so the default run always returns fresh awards. - Not every award notice publishes a structured value or winner; those fields are then `null`. When `winner_name` is set, only notices with an identifiable winner are returned. - For open tenders (not yet awarded) see our **TED EU Public Tenders** actor; for French national notices see our **BOAMP France Marchés Publics** actor. ### Use as an MCP tool (AI agents) This Actor is available as an **MCP tool** for AI agents (Claude, ChatGPT, Cursor, etc.) through Apify’s hosted MCP server. Point your MCP client at: ``` https://mcp.apify.com/?actors=aspiring_barricade/eu-contract-awards-tracker ``` The Actor’s input schema becomes the tool’s parameters automatically. An Apify API token is required. ### Use in n8n Run this Actor inside your [n8n](https://n8n.io) workflows using the official **Apify** node (search “Apify” in the n8n nodes panel) and select the Actor `aspiring_barricade/eu-contract-awards-tracker`. A dedicated community node (`n8n-nodes-eu-contract-awards`) is also being published to npm for one-click installation via **n8n → Settings → Community Nodes**. # Actor input Schema ## `keywords` (type: `array`): Search terms matched against the award notice title/description (full text). OR-combined. ## `winner_name` (type: `string`): Optional. Track contracts won by a specific company (fuzzy match on the winner field). ## `country` (type: `array`): Optional buyer country, ISO 3166 alpha-2 or alpha-3 (e.g. FR, DE or FRA, DEU). Empty = all EU/EEA. ## `cpv` (type: `array`): Optional Common Procurement Vocabulary codes (e.g. 72000000 for IT services). ## `date_from` (type: `string`): Optional start date (YYYY-MM-DD). Empty = last 30 days. ## `date_to` (type: `string`): Optional end date (YYYY-MM-DD). ## `notice_type` (type: `array`): Optional TED award notice-type codes. Default: can-standard, can-social, can-desg. ## `min_relevance_score` (type: `integer`): Optional. Drop results scoring below this keyword-relevance threshold. ## `alert_new_only` (type: `boolean`): Return only award notices not seen in previous runs. Great for monitoring a competitor's wins. ## `alert_key` (type: `string`): Namespace for new-only history so different saved searches keep separate state. ## `max_items` (type: `integer`): Maximum number of award notices to return. ## Actor input object example ```json { "keywords": [ "software" ], "country": [], "cpv": [], "notice_type": [], "min_relevance_score": 0, "alert_new_only": false, "alert_key": "default", "max_items": 50 } ``` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keywords": [ "software" ], "max_items": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("aspiring_barricade/eu-contract-awards-tracker").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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "keywords": ["software"], "max_items": 50, } # Run the Actor and wait for it to finish run = client.actor("aspiring_barricade/eu-contract-awards-tracker").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 '{ "keywords": [ "software" ], "max_items": 50 }' | apify call aspiring_barricade/eu-contract-awards-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=aspiring_barricade/eu-contract-awards-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "EU Contract Awards Tracker — Who Won Public Tenders (TED)", "description": "Track contract AWARD notices from the official TED API: who won EU public contracts, for how much. Competitive intelligence with relevance scoring, dedup and new-only alerts.", "version": "1.0", "x-build-id": "Qt9QbuB2cTTUn9tL9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/aspiring_barricade~eu-contract-awards-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-aspiring_barricade-eu-contract-awards-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/aspiring_barricade~eu-contract-awards-tracker/runs": { "post": { "operationId": "runs-sync-aspiring_barricade-eu-contract-awards-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/aspiring_barricade~eu-contract-awards-tracker/run-sync": { "post": { "operationId": "run-sync-aspiring_barricade-eu-contract-awards-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "keywords" ], "properties": { "keywords": { "title": "Keywords", "type": "array", "description": "Search terms matched against the award notice title/description (full text). OR-combined.", "default": [ "software" ], "items": { "type": "string" } }, "winner_name": { "title": "Winner name", "type": "string", "description": "Optional. Track contracts won by a specific company (fuzzy match on the winner field)." }, "country": { "title": "Countries (ISO codes)", "type": "array", "description": "Optional buyer country, ISO 3166 alpha-2 or alpha-3 (e.g. FR, DE or FRA, DEU). Empty = all EU/EEA.", "default": [], "items": { "type": "string" } }, "cpv": { "title": "CPV codes", "type": "array", "description": "Optional Common Procurement Vocabulary codes (e.g. 72000000 for IT services).", "default": [], "items": { "type": "string" } }, "date_from": { "title": "Published from", "type": "string", "description": "Optional start date (YYYY-MM-DD). Empty = last 30 days." }, "date_to": { "title": "Published to", "type": "string", "description": "Optional end date (YYYY-MM-DD)." }, "notice_type": { "title": "Award notice types (advanced)", "type": "array", "description": "Optional TED award notice-type codes. Default: can-standard, can-social, can-desg.", "default": [], "items": { "type": "string" } }, "min_relevance_score": { "title": "Minimum relevance score (0-100)", "type": "integer", "description": "Optional. Drop results scoring below this keyword-relevance threshold.", "default": 0 }, "alert_new_only": { "title": "Alert mode: only new since last run", "type": "boolean", "description": "Return only award notices not seen in previous runs. Great for monitoring a competitor's wins.", "default": false }, "alert_key": { "title": "Alert key", "type": "string", "description": "Namespace for new-only history so different saved searches keep separate state.", "default": "default" }, "max_items": { "title": "Max results", "type": "integer", "description": "Maximum number of award notices to return.", "default": 50 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```