# 🇪🇺 EU TED Tender & Award Delta Feed — Procurement Watch (`nexgenwatch/eu-ted-tender-award-watch`) Actor EU TED tender & award delta feed — new tenders, awards, and procedure deltas across all member states; watch mode, honest terminals. - **URL**: https://apify.com/nexgenwatch/eu-ted-tender-award-watch.md - **Developed by:** [NexGen Watch](https://apify.com/nexgenwatch) (community) - **Categories:** Business - **Stats:** 2 total users, 0 monthly users, 60.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $13.40 / 1,000 procedure deltas This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 TED Tender-to-Award & Incumbent Watch Collect official EU procurement notices, link tenders to awards by published identifiers, and monitor award/incumbent changes. This actor queries the official **anonymous TED Search API** (Tenders Electronic Daily, `api.ted.europa.eu/v3/notices/search`, logged-out, no key) and returns normalized tender and award notice records with buyer, CPV, procedure, lot, value, winner, source URL, and observation fields when TED publishes them. **Snapshot mode** returns current notices. **Watch mode** seeds a private baseline, then emits procedure-level additions and published award/incumbent changes on later scheduled runs. ### Output record types - `tender_notice` / `award_notice` — one normalized notice each (award = TED `form-type=result`), with `publication_number`, `procedure_key`, buyer/CPV, values, winners, `content_hash`, `source_url`, `observed_at`. - `procedure_delta` — watch-mode change: `new_opportunity`, `notice_updated`, `award_published` (with `prior_publication_numbers`, `winner_after`), etc. - `source_receipt` — always pushed, never billed: terminal (`NORMAL`/`GENUINE_EMPTY`/`PARTIAL`/`BLOCKED`), reason, counts, canary flag. ### Use cases Suppliers monitor relevant published opportunities/awards; bid teams maintain tender-to-award records; procurement analysts assemble buyer/CPV histories; agencies watch named markets for newly published result notices; data teams consume an official-source normalized feed. ### Honest limits Linking uses official procedure/lot identifiers only and may remain empty; TED documents missing winner data in some results; values stay in original currency; the actor does not infer cancellation, hidden bids, supplier performance, or contract intent; live queries are bounded to 366 days / 5,000 items; only published notices are accessible; outages/blocks/drift fail loud. ### Compliance Official public, logged-out published notices only; no login, CAPTCHA defeat, private/licensed source, or always-on process; the actor stops on objection. Buyers remain responsible for lawful use. # Actor input Schema ## `queryMode` (type: `string`): structured builds a bounded AND query from the supplied filters; expert sends your bounded TED expert query verbatim after lexical safety checks. ## `structuredQuery` (type: `object`): Used when queryMode is structured. At least one of keywords, cpvCodes, buyerCountries, buyerNames must be supplied. ## `expertQuery` (type: `string`): Used when queryMode is expert. 3-2000 chars, one statement, no control chars/comments/URLs, must contain a bounded PD range <=366 days. ## `watchMode` (type: `boolean`): Seed a private baseline and emit only procedure-level deltas on later runs. First run emits zero deltas. ## `baselineId` (type: `string`): Named watch baseline (^[A-Za-z0-9_-]{3,64}$). If unset, derived from the canonical query hash. Changing the canonical query derives a new baseline. ## `language` (type: `string`): ISO-639 alpha-3 uppercase (e.g. ENG). Preferred returned language only; no translation. ## `maxItems` (type: `integer`): Maximum notice records or deltas to emit this run (receipts excluded). ## `includeRaw` (type: `boolean`): Attach a bounded raw TED field map (<=64 KiB) to each record. ## `linkAwards` (type: `boolean`): Build procedure/lot links from official returned identifiers only; never fuzzy-link across procedures. ## Actor input object example ```json { "queryMode": "structured", "structuredQuery": { "cpvCodes": [ "72000000" ], "buyerCountries": [ "DEU" ] }, "watchMode": false, "language": "ENG", "maxItems": 50, "includeRaw": false, "linkAwards": true } ```` # 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 = { "structuredQuery": { "cpvCodes": [ "72000000" ], "buyerCountries": [ "DEU" ] }, "maxItems": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("nexgenwatch/eu-ted-tender-award-watch").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 = { "structuredQuery": { "cpvCodes": ["72000000"], "buyerCountries": ["DEU"], }, "maxItems": 50, } # Run the Actor and wait for it to finish run = client.actor("nexgenwatch/eu-ted-tender-award-watch").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 '{ "structuredQuery": { "cpvCodes": [ "72000000" ], "buyerCountries": [ "DEU" ] }, "maxItems": 50 }' | apify call nexgenwatch/eu-ted-tender-award-watch --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgenwatch/eu-ted-tender-award-watch", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "🇪🇺 EU TED Tender & Award Delta Feed — Procurement Watch", "description": "EU TED tender & award delta feed — new tenders, awards, and procedure deltas across all member states; watch mode, honest terminals.", "version": "0.1", "x-build-id": "RxbTWYgjFUmRdTY3B" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgenwatch~eu-ted-tender-award-watch/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgenwatch-eu-ted-tender-award-watch", "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/nexgenwatch~eu-ted-tender-award-watch/runs": { "post": { "operationId": "runs-sync-nexgenwatch-eu-ted-tender-award-watch", "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/nexgenwatch~eu-ted-tender-award-watch/run-sync": { "post": { "operationId": "run-sync-nexgenwatch-eu-ted-tender-award-watch", "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", "properties": { "queryMode": { "title": "Query mode", "enum": [ "structured", "expert" ], "type": "string", "description": "structured builds a bounded AND query from the supplied filters; expert sends your bounded TED expert query verbatim after lexical safety checks.", "default": "structured" }, "structuredQuery": { "title": "Structured query", "type": "object", "description": "Used when queryMode is structured. At least one of keywords, cpvCodes, buyerCountries, buyerNames must be supplied.", "properties": { "keywords": { "title": "Keywords (full text)", "type": "array", "description": "0-10 unique phrases (2-80 chars each). OR semantics via TED FT operator.", "items": { "type": "string" } }, "cpvCodes": { "title": "CPV codes", "type": "array", "description": "0-20 unique exact 8-digit CPV codes. OR semantics.", "items": { "type": "string" } }, "buyerCountries": { "title": "Buyer countries", "type": "array", "description": "0-30 unique uppercase ISO-3166 alpha-3 country codes (e.g. DEU, FRA). OR semantics.", "items": { "type": "string" } }, "buyerNames": { "title": "Buyer names", "type": "array", "description": "0-20 unique buyer name phrases (2-120 chars). OR semantics via TED AU operator.", "items": { "type": "string" } }, "noticeKinds": { "title": "Notice kinds", "type": "array", "description": "Non-empty subset of opportunity/award. opportunity maps to form-type competition, award to form-type result.", "items": { "type": "string" } }, "publicationDateFrom": { "title": "Publication date from", "type": "string", "description": "ISO date (YYYY-MM-DD). Defaults to UTC today minus 30 days.", "editor": "textfield" }, "publicationDateTo": { "title": "Publication date to", "type": "string", "description": "ISO date (YYYY-MM-DD). Defaults to UTC today. From<=to; span <=366 days.", "editor": "textfield" }, "deadlineFrom": { "title": "Deadline from", "type": "string", "description": "Optional ISO date; adds a DD>= filter.", "editor": "textfield" }, "deadlineTo": { "title": "Deadline to", "type": "string", "description": "Optional ISO date; adds a DD<= filter.", "editor": "textfield" } }, "additionalProperties": false }, "expertQuery": { "title": "Expert query", "type": "string", "description": "Used when queryMode is expert. 3-2000 chars, one statement, no control chars/comments/URLs, must contain a bounded PD range <=366 days." }, "watchMode": { "title": "Watch mode", "type": "boolean", "description": "Seed a private baseline and emit only procedure-level deltas on later runs. First run emits zero deltas.", "default": false }, "baselineId": { "title": "Baseline id", "type": "string", "description": "Named watch baseline (^[A-Za-z0-9_-]{3,64}$). If unset, derived from the canonical query hash. Changing the canonical query derives a new baseline." }, "language": { "title": "Preferred language", "type": "string", "description": "ISO-639 alpha-3 uppercase (e.g. ENG). Preferred returned language only; no translation.", "default": "ENG" }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum notice records or deltas to emit this run (receipts excluded).", "default": 500 }, "includeRaw": { "title": "Include raw", "type": "boolean", "description": "Attach a bounded raw TED field map (<=64 KiB) to each record.", "default": false }, "linkAwards": { "title": "Link awards", "type": "boolean", "description": "Build procedure/lot links from official returned identifiers only; never fuzzy-link across procedures.", "default": true } } }, "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 } } } } } } } } } } ```