# EU Tender Match API (`intimate_pacu/eu-tender-match-api`) Actor Find public EU TED procurement notices by keyword, CPV, country, deadline, and publication date. Returns clean JSON for B2B sales and procurement agents. - **URL**: https://apify.com/intimate\_pacu/eu-tender-match-api.md - **Developed by:** [Intimate PAcu](https://apify.com/intimate_pacu) (community) - **Categories:** Business, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $50.00 / 1,000 tender matches 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 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 Tender Match API Find public EU TED procurement notices by keyword, CPV code, buyer country, publication date, and deadline. The Actor returns clean JSON for B2B sales agents, procurement consultants, and market-intelligence workflows. ### Why this Actor exists Public procurement data has high business value, but TED expert search responses are not shaped for agents or CRMs. This Actor converts TED notices into a small, predictable schema that can be used for: - government-contract opportunity monitoring - B2B public-sector sales lead discovery - procurement-market research - agentic workflows that need structured tender matches ### Data source This Actor uses the public TED API v3 search endpoint: `https://api.ted.europa.eu/v3/notices/search` No login, private data, personal-profile scraping, or proxy bypass is used. ### Example input ```json { "keywords": "cybersecurity", "country": "DE", "publishedAfter": "2025-01-01", "maxResults": 10 } ```` Optional filters: - `cpv`: CPV code such as `72000000` - `deadlineAfter`: tender deadline lower bound, `YYYY-MM-DD` - `includeRaw`: include selected raw TED fields for debugging ### Output fields Each dataset item contains: ```json { "noticeId": "...", "publicationNumber": "72951-2025", "title": "...", "buyerName": "...", "buyerCountry": "DEU", "publicationDate": "2025-02-03+01:00", "tenderDeadline": "2025-03-17+01:00", "cpvCodes": ["72268000"], "estimatedValue": "405000.00", "estimatedValueCurrency": "EUR", "description": "...", "noticeUrl": "https://ted.europa.eu/en/notice/72951-2025", "source": "TED API v3 public search", "matchReason": "Matched TED expert query: ...", "summary": "..." } ``` ### Compliance notes - The Actor uses public procurement notices from TED. - Users are responsible for complying with TED terms, legal notice, attribution, and downstream use rules. - The Actor does not collect private, logged-in, sensitive, or personal-profile data. - This Actor should not be used for spam or deceptive outreach automation. ### Pricing This Actor is configured for Apify Pay Per Event pricing: - Actor start: `$0.005` per run - Tender match: `$0.05` per matched public EU TED procurement notice pushed to the default dataset Example: a run returning 10 tender matches costs about `$0.505` before any platform-side display/rounding rules. Keep `maxResults` low for tests. Increase it only when you are ready to pay for more matched tenders. # Actor input Schema ## `keywords` (type: `string`): Full-text search keywords, e.g. cybersecurity, solar panels, AI software. ## `country` (type: `string`): ISO alpha-2 or TED alpha-3 buyer country code. Examples: DE or DEU, FR or FRA, ES or ESP. Leave blank for all countries. ## `cpv` (type: `string`): Optional CPV code, e.g. 72000000 for IT services. Prefix matching depends on TED expert-search behavior. ## `publishedAfter` (type: `string`): Optional YYYY-MM-DD or YYYYMMDD lower bound for notice publication date. ## `deadlineAfter` (type: `string`): Optional YYYY-MM-DD or YYYYMMDD lower bound for tender receipt deadline. ## `maxResults` (type: `integer`): Maximum notices to return. Keep small for tests; maximum 100 in this actor. ## `includeRaw` (type: `boolean`): Include raw selected TED fields for debugging/integration. ## Actor input object example ```json { "keywords": "cybersecurity", "country": "DE", "publishedAfter": "2025-01-01", "maxResults": 10, "includeRaw": false } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keywords": "cybersecurity", "country": "DE", "publishedAfter": "2025-01-01", "maxResults": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("intimate_pacu/eu-tender-match-api").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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": "cybersecurity", "country": "DE", "publishedAfter": "2025-01-01", "maxResults": 10, } # Run the Actor and wait for it to finish run = client.actor("intimate_pacu/eu-tender-match-api").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": "cybersecurity", "country": "DE", "publishedAfter": "2025-01-01", "maxResults": 10 }' | apify call intimate_pacu/eu-tender-match-api --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=intimate_pacu/eu-tender-match-api", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "EU Tender Match API", "description": "Find public EU TED procurement notices by keyword, CPV, country, deadline, and publication date. Returns clean JSON for B2B sales and procurement agents.", "version": "0.1", "x-build-id": "86V8lXJl4Sh33WbbZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/intimate_pacu~eu-tender-match-api/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-intimate_pacu-eu-tender-match-api", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/intimate_pacu~eu-tender-match-api/runs": { "post": { "operationId": "runs-sync-intimate_pacu-eu-tender-match-api", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/intimate_pacu~eu-tender-match-api/run-sync": { "post": { "operationId": "run-sync-intimate_pacu-eu-tender-match-api", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "string", "description": "Full-text search keywords, e.g. cybersecurity, solar panels, AI software." }, "country": { "title": "Buyer country", "type": "string", "description": "ISO alpha-2 or TED alpha-3 buyer country code. Examples: DE or DEU, FR or FRA, ES or ESP. Leave blank for all countries." }, "cpv": { "title": "CPV code", "type": "string", "description": "Optional CPV code, e.g. 72000000 for IT services. Prefix matching depends on TED expert-search behavior." }, "publishedAfter": { "title": "Published after", "type": "string", "description": "Optional YYYY-MM-DD or YYYYMMDD lower bound for notice publication date." }, "deadlineAfter": { "title": "Deadline after", "type": "string", "description": "Optional YYYY-MM-DD or YYYYMMDD lower bound for tender receipt deadline." }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum notices to return. Keep small for tests; maximum 100 in this actor.", "default": 10 }, "includeRaw": { "title": "Include raw TED notice fields", "type": "boolean", "description": "Include raw selected TED fields for debugging/integration.", "default": false } } }, "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 } } } } } } } } } } ```