# DACH School IT / Cybersecurity Tender Intelligence Feed (`zentrafoundry/dach-school-it-tender-feed`) Actor A qualified dach school it / cybersecurity tender intelligence intelligence feed for teams that need procurement signals before manual search catches up. Monitors TED Search API, TED API, Common Procurement Vocabulary and returns buyer-ready records with source evidence. - **URL**: https://apify.com/zentrafoundry/dach-school-it-tender-feed.md - **Developed by:** [Zentra](https://apify.com/zentrafoundry) (community) - **Categories:** Lead generation, Automation, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## DACH School IT / Cybersecurity Tender Intelligence Feed A qualified dach school it / cybersecurity tender intelligence intelligence feed for teams that need procurement signals before manual search catches up. Monitors TED Search API, TED API, Common Procurement Vocabulary and returns buyer-ready records with source evidence. ### Who this is for Procurement, sales, partnerships, compliance, and research teams use this actor when they need a focused dach school it / cybersecurity tender intelligence feed instead of a broad generic scraper. ### Sources monitored TED Search API, TED API, Common Procurement Vocabulary ### What you get The actor returns buyer-ready records with source attribution, match context, and normalized fields for review or downstream routing. - `title`: Buyer-readable opportunity or record title. - `source_url`: Direct source URL for review and audit. - `source_id`: Source identifier used to trace where the record came from. - `buyer_name`: Public buyer, authority, issuer, or organization. - `country`: Normalized field for filtering, routing, or downstream review. - `published_at`: Normalized field for filtering, routing, or downstream review. - `deadline`: Submission or response deadline when available. - `cpv_codes`: Normalized field for filtering, routing, or downstream review. - `estimated_value`: Normalized field for filtering, routing, or downstream review. - `currency`: Normalized field for filtering, routing, or downstream review. - `match_reason`: Plain-language reason this record matched the actor focus. - `evidence`: Normalized field for filtering, routing, or downstream review. - `dedupe_key`: Normalized field for filtering, routing, or downstream review. - `scraped_at`: Normalized field for filtering, routing, or downstream review. ### Pricing This actor uses Apify pay-per-event pricing. Current public listing guidance: $29-$49 / 1,000 launch validation records until public data proof is complete. Charges are tied to buyer-visible value events such as `document-parsed`, `qualified-tender`, `optional-attachment-parsed`. Small validation runs are supported so you can inspect output before scaling a schedule. - `document-parsed`: Charge when DACH School IT / Cybersecurity Tender Intelligence Feed produces actor-start. Typical price: $0.011. A run that produces 10 matching records charges only for the matched buyer-value events and remains capped by the run limit. - `qualified-tender`: Charge when DACH School IT / Cybersecurity Tender Intelligence Feed produces qualified-tender. Typical price: $0.043. A run that produces 10 matching records charges only for the matched buyer-value events and remains capped by the run limit. - `optional-attachment-parsed`: Charge when DACH School IT / Cybersecurity Tender Intelligence Feed produces optional attachment-parsed. Typical price: $0.043. A run that produces 10 matching records charges only for the matched buyer-value events and remains capped by the run limit. - `first-run-cap`: Recommended first run budget cap. Typical price: $3.820. Start with the default small run, inspect the dataset, then raise maxItems or schedule recurring runs. ### API example ```bash curl -X POST "https://api.apify.com/v2/acts/zentrafoundry~dach-school-it-tender-feed/runs" \ + -H "Authorization: Bearer $APIFY_TOKEN" \ + -H "Content-Type: application/json" \ + -d '{"maxItems":10,"sourceIds":["TED-SEARCH","TED-API","TED-CPV"],"includeSourceUrls":true,"includeMatchReasons":true,"outputMode":"buyer-ready-records"}' ```` ### Recommended first run ```json { "maxItems": 10, "sourceIds": [ "TED-SEARCH", "TED-API", "TED-CPV" ], "includeSourceUrls": true, "includeMatchReasons": true, "outputMode": "buyer-ready-records" } ``` ### Sample output Review a static sample output record before running the actor: https://zentraforge.store/external/actor-review/samples/dach-school-it-tender-feed.json ### Recommended public task templates ```json [ { "name": "First 10 qualified records", "description": "Low-cost validation run for checking output quality and source fit.", "input": { "maxItems": 10, "sourceIds": [ "TED-SEARCH", "TED-API", "TED-CPV" ], "includeSourceUrls": true, "includeMatchReasons": true, "outputMode": "buyer-ready-records", "actorSlug": "dach-school-it-tender-feed" } }, { "name": "Daily monitoring feed", "description": "Recurring small batch for new buyer-value records.", "schedule": "Daily during local business hours", "input": { "maxItems": 25, "sourceIds": [ "TED-SEARCH", "TED-API", "TED-CPV" ], "includeSourceUrls": true, "includeMatchReasons": true, "outputMode": "buyer-ready-records", "actorSlug": "dach-school-it-tender-feed" } } ] ``` ### Use cases - Track new dach school it / cybersecurity tender intelligence opportunities without checking each source manually. - Route qualified records into CRM, spreadsheets, or internal review queues. - Monitor deadlines, buyer names, source links, and match reasons for faster triage. - Schedule recurring runs to catch new signals while keeping first-run costs low. ### Trust and compliance - Uses TED Search API, TED API, Common Procurement Vocabulary. - Designed for public-source procurement and data-intelligence workflows. - Keeps source URLs and source identifiers in output records for auditability. - Does not require private credentials unless a source is explicitly configured for approved authenticated access. # Actor input Schema ## `startUrls` (type: `array`): Approved public source URLs for this Actor run. ## `maxItems` (type: `integer`): Upper bound for emitted records and pay-per-event charges. ## `sourceIds` (type: `array`): Optional source identifiers to include in the run. ## `pricingEvents` (type: `array`): Buyer-value events expected from this actor. ## `includeSourceUrls` (type: `boolean`): Include source URLs in output records. ## `includeMatchReasons` (type: `boolean`): Include plain-language match reasons in output records. ## `outputMode` (type: `string`): Shape of returned records. ## `actorSlug` (type: `string`): Zentra actor slug used for review and traceability. ## Actor input object example ```json { "startUrls": [ { "url": "https://docs.ted.europa.eu/api/latest/search.html", "sourceId": "TED-SEARCH", "userData": { "sourceId": "TED-SEARCH" } }, { "url": "https://docs.ted.europa.eu/api/latest/index.html", "sourceId": "TED-API", "userData": { "sourceId": "TED-API" } }, { "url": "https://single-market-economy.ec.europa.eu/single-market/public-procurement/digital-procurement/common-procurement-vocabulary_en", "sourceId": "TED-CPV", "userData": { "sourceId": "TED-CPV" } } ], "maxItems": 1, "sourceIds": [], "pricingEvents": [], "includeSourceUrls": true, "includeMatchReasons": true, "outputMode": "sample-records" } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "startUrls": [ { "url": "https://docs.ted.europa.eu/api/latest/search.html", "sourceId": "TED-SEARCH", "userData": { "sourceId": "TED-SEARCH" } }, { "url": "https://docs.ted.europa.eu/api/latest/index.html", "sourceId": "TED-API", "userData": { "sourceId": "TED-API" } }, { "url": "https://single-market-economy.ec.europa.eu/single-market/public-procurement/digital-procurement/common-procurement-vocabulary_en", "sourceId": "TED-CPV", "userData": { "sourceId": "TED-CPV" } } ] }; // Run the Actor and wait for it to finish const run = await client.actor("zentrafoundry/dach-school-it-tender-feed").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 = { "startUrls": [ { "url": "https://docs.ted.europa.eu/api/latest/search.html", "sourceId": "TED-SEARCH", "userData": { "sourceId": "TED-SEARCH" }, }, { "url": "https://docs.ted.europa.eu/api/latest/index.html", "sourceId": "TED-API", "userData": { "sourceId": "TED-API" }, }, { "url": "https://single-market-economy.ec.europa.eu/single-market/public-procurement/digital-procurement/common-procurement-vocabulary_en", "sourceId": "TED-CPV", "userData": { "sourceId": "TED-CPV" }, }, ] } # Run the Actor and wait for it to finish run = client.actor("zentrafoundry/dach-school-it-tender-feed").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 '{ "startUrls": [ { "url": "https://docs.ted.europa.eu/api/latest/search.html", "sourceId": "TED-SEARCH", "userData": { "sourceId": "TED-SEARCH" } }, { "url": "https://docs.ted.europa.eu/api/latest/index.html", "sourceId": "TED-API", "userData": { "sourceId": "TED-API" } }, { "url": "https://single-market-economy.ec.europa.eu/single-market/public-procurement/digital-procurement/common-procurement-vocabulary_en", "sourceId": "TED-CPV", "userData": { "sourceId": "TED-CPV" } } ] }' | apify call zentrafoundry/dach-school-it-tender-feed --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=zentrafoundry/dach-school-it-tender-feed", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "DACH School IT / Cybersecurity Tender Intelligence Feed", "description": "A qualified dach school it / cybersecurity tender intelligence intelligence feed for teams that need procurement signals before manual search catches up. Monitors TED Search API, TED API, Common Procurement Vocabulary and returns buyer-ready records with source evidence.", "version": "1.0", "x-build-id": "vDWiIUWQ9yMmo6DQj" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/zentrafoundry~dach-school-it-tender-feed/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-zentrafoundry-dach-school-it-tender-feed", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/zentrafoundry~dach-school-it-tender-feed/runs": { "post": { "operationId": "runs-sync-zentrafoundry-dach-school-it-tender-feed", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/zentrafoundry~dach-school-it-tender-feed/run-sync": { "post": { "operationId": "run-sync-zentrafoundry-dach-school-it-tender-feed", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Approved public source URLs for this Actor run.", "default": [ { "url": "https://docs.ted.europa.eu/api/latest/search.html", "sourceId": "TED-SEARCH", "userData": { "sourceId": "TED-SEARCH" } }, { "url": "https://docs.ted.europa.eu/api/latest/index.html", "sourceId": "TED-API", "userData": { "sourceId": "TED-API" } }, { "url": "https://single-market-economy.ec.europa.eu/single-market/public-procurement/digital-procurement/common-procurement-vocabulary_en", "sourceId": "TED-CPV", "userData": { "sourceId": "TED-CPV" } } ], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Maximum items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Upper bound for emitted records and pay-per-event charges.", "default": 1 }, "sourceIds": { "title": "Source IDs", "type": "array", "description": "Optional source identifiers to include in the run.", "default": [], "items": { "type": "string" } }, "pricingEvents": { "title": "Pricing events", "type": "array", "description": "Buyer-value events expected from this actor.", "default": [], "items": { "type": "string" } }, "includeSourceUrls": { "title": "Include source URLs", "type": "boolean", "description": "Include source URLs in output records.", "default": true }, "includeMatchReasons": { "title": "Include match reasons", "type": "boolean", "description": "Include plain-language match reasons in output records.", "default": true }, "outputMode": { "title": "Output mode", "enum": [ "sample-records", "buyer-ready-records" ], "type": "string", "description": "Shape of returned records.", "default": "sample-records" }, "actorSlug": { "title": "Actor slug", "type": "string", "description": "Zentra actor slug used for review and traceability." } } }, "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 } } } } } } } } } } ```