# TED EU Public Tenders API — Tenders Electronic Daily Scraper (`aspiring_barricade/eu-public-tenders-scraper`) Actor Search EU & EEA public tenders from the official TED (Tenders Electronic Daily) API. Relevance scoring, deduplication and new-only alerts. Clean flat JSON. - **URL**: https://apify.com/aspiring\_barricade/eu-public-tenders-scraper.md - **Developed by:** [Joachim Pouchain](https://apify.com/aspiring_barricade) (community) - **Categories:** Developer tools, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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 ## TED EU Public Tenders API — Tenders Electronic Daily Scraper Search **EU public tenders** from the official **TED (Tenders Electronic Daily)** API and get a clean, flat dataset with a built-in **relevance score**, automatic **deduplication**, and a **new-only alert mode** for scheduled monitoring. This TED EU public tenders scraper turns the EU's official procurement feed (EU 27 + EEA) into ready-to-use JSON, CSV or Excel for sales, bid monitoring, compliance and AI/RAG pipelines. Unlike a raw dump, every tender is **scored 0–100** against your keywords and **de-duplicated** across notice versions, so the most relevant opportunities surface first. ### Why this actor - **Official source, no scraping tricks.** Data comes from the public TED v3 Search API — no residential proxies, no anti-bot games, fully compliant. - **Relevance scoring (0–100).** Your keywords are weighted across title, CPV and description. Sort or filter by `relevance_score`. Most competitors return an unranked dump. - **Deduplication.** Tenders re-published across channels/versions are collapsed by a stable key (`notice_id` + buyer + date). - **New-only alert mode.** On scheduled runs, return *only* notices you haven't seen before — perfect for daily/weekly monitoring without re-processing the same rows. - **Stable flat schema.** Identical field names across our TED, BOAMP and Awards actors, so your pipeline never breaks. ### Input | Field | Type | Description | |-------|------|-------------| | `keywords` | array | Search terms (full text over title + description), OR-combined. **Required.** | | `country` | array | Buyer country, ISO alpha-2 or alpha-3 (e.g. `FR`, `DE`, `IT`). Empty = all EU/EEA. | | `cpv` | array | CPV codes (e.g. `72000000` for IT services). | | `date_from` / `date_to` | string | `YYYY-MM-DD`. Empty `date_from` = last 30 days. | | `notice_type` | array | Advanced: TED eForms notice-type codes (e.g. `cn-standard`). | | `min_value` | integer | Keep only notices with a published value ≥ this amount. | | `min_relevance_score` | integer | Drop results below this 0–100 score. | | `alert_new_only` | boolean | Return only notices new since the last run. | | `alert_key` | string | Namespace so different saved searches keep separate history. | | `max_items` | integer | Maximum results to return. | #### Example input ```json { "keywords": ["software", "cybersecurity"], "country": ["FR", "DE"], "cpv": ["72000000"], "date_from": "2026-05-01", "min_relevance_score": 30, "alert_new_only": false, "max_items": 100 } ```` ### Output Each dataset item is a flat, stable record: ```json { "source": "TED", "notice_id": "441921-2026", "title": "Supply of IT infrastructure and software licences", "buyer_name": "Riigi Tugiteenuste Keskus", "buyer_country": "EST", "cpv_codes": ["48000000", "72000000"], "description": "Framework agreement for software licences and related services.", "value_amount": 6000000, "value_currency": "EUR", "publication_date": "2026-06-26", "deadline_date": "2026-07-30", "notice_type": "cn-standard", "award_winner": null, "source_url": "https://ted.europa.eu/en/notice/-/detail/441921-2026", "relevance_score": 84 } ``` #### Output fields - `source` — always `TED`. - `notice_id` — TED publication number (stable id). - `title`, `description` — best available language (English preferred). - `buyer_name`, `buyer_country` — contracting authority and ISO country. - `cpv_codes` — array of CPV classification codes. - `value_amount`, `value_currency` — published contract value when available. - `publication_date`, `deadline_date` — ISO `YYYY-MM-DD`. - `notice_type` — TED eForms notice type. - `award_winner` — populated for award notices (see the Awards actor for winners). - `source_url` — direct link to the notice on ted.europa.eu. - `relevance_score` — keyword relevance, 0–100. ### Use cases #### B2G sales & business development Find every open tender matching your offer across the EU, ranked by relevance, and push the best leads straight into your CRM. #### Bid & opportunity monitoring Schedule the actor with `alert_new_only: true` to receive only fresh tenders each morning — no duplicates, no noise. #### Competitive & market intelligence Track demand by CPV, country and buyer to size markets and spot recurring buyers. #### Compliance & audit Maintain an auditable, timestamped record of relevant public procurement activity. #### RAG / LLM pipelines The clean flat schema is ideal as a knowledge source for retrieval-augmented generation and tender-summarisation agents. ### Pricing This actor uses **pay-per-result** pricing: you are charged **$0.005 per tender returned** (per dataset item), plus Apify platform usage. A typical 100-result run costs about **$0.50** in result fees. The `max_items` setting caps your spend, and `alert_new_only` keeps scheduled runs cheap by returning only new notices. ### Data source & licensing Data is retrieved from the official **TED (Tenders Electronic Daily)** API operated by the Publications Office of the European Union. TED data is re-usable for commercial and non-commercial purposes under **Commission Decision 2011/833/EU**, provided the source is acknowledged. This actor adds no warranty about completeness or accuracy of the underlying notices. ### Notes & limits - Results default to the last 30 days when no `date_from` is given, so the default run always returns fresh data. - Some notices omit a structured value; `value_amount` is then `null` and such items are excluded when `min_value` is set. - TED covers EU 27 + EEA. For French national-level notices below EU thresholds, see our **BOAMP France** actor. To track winners, see our **EU Contract Awards Tracker**. ### 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-public-tenders-scraper ``` 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-public-tenders-scraper`. A dedicated community node (`n8n-nodes-ted-eu-tenders`) 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 notice title and description (full text). Combined with OR. ## `country` (type: `array`): Optional. Buyer country, ISO 3166 alpha-2 or alpha-3 (e.g. FR, DE, IT 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 eForms notice-type codes (e.g. cn-standard for contract notices). Empty = all types. ## `min_value` (type: `integer`): Optional. Keep only notices whose published value is at least this amount. ## `min_relevance_score` (type: `integer`): Optional. Drop results scoring below this keyword-relevance threshold. ## `alert_new_only` (type: `boolean`): Return only notices not seen in previous runs (persisted per alert key). Great for scheduled monitoring. ## `alert_key` (type: `string`): Namespace for new-only history so different saved searches keep separate state. ## `max_items` (type: `integer`): Maximum number of 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-public-tenders-scraper").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-public-tenders-scraper").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-public-tenders-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=aspiring_barricade/eu-public-tenders-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TED EU Public Tenders API — Tenders Electronic Daily Scraper", "description": "Search EU & EEA public tenders from the official TED (Tenders Electronic Daily) API. Relevance scoring, deduplication and new-only alerts. Clean flat JSON.", "version": "1.0", "x-build-id": "LLS3fLJWYhWgUBQsT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/aspiring_barricade~eu-public-tenders-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-aspiring_barricade-eu-public-tenders-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/aspiring_barricade~eu-public-tenders-scraper/runs": { "post": { "operationId": "runs-sync-aspiring_barricade-eu-public-tenders-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/aspiring_barricade~eu-public-tenders-scraper/run-sync": { "post": { "operationId": "run-sync-aspiring_barricade-eu-public-tenders-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 notice title and description (full text). Combined with OR.", "default": [ "software" ], "items": { "type": "string" } }, "country": { "title": "Countries (ISO codes)", "type": "array", "description": "Optional. Buyer country, ISO 3166 alpha-2 or alpha-3 (e.g. FR, DE, IT 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": "Notice types (advanced)", "type": "array", "description": "Optional TED eForms notice-type codes (e.g. cn-standard for contract notices). Empty = all types.", "default": [], "items": { "type": "string" } }, "min_value": { "title": "Minimum contract value", "type": "integer", "description": "Optional. Keep only notices whose published value is at least this amount." }, "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 notices not seen in previous runs (persisted per alert key). Great for scheduled monitoring.", "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 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 } } } } } } } } } } ```