# iRozhlas Sitemap Discovery (`jakub.kopecky/irozhlas-discovery`) Actor Discovers historical article URLs from iROZHLAS.cz using their official sitemaps. - **URL**: https://apify.com/jakub.kopecky/irozhlas-discovery.md - **Developed by:** [Jakub Kopecký](https://apify.com/jakub.kopecky) (community) - **Categories:** News - **Stats:** 3 total users, 2 monthly users, 33.3% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## iRozhlas Sitemap Discovery Discovers historical article URLs from iROZHLAS.cz using their official sitemaps. ### What it does - Reads the public sitemap index - Downloads `sitemap-N.xml` files (the active numbered ones) - Filters to only `zpravy-domov/*` and `zpravy-svet/*` (configurable) - Extracts publication date directly from the URL slug (no page fetch needed) - Applies optional date range filter - Returns clean `{ url, date }` items with proper ISO dates ### Smart caching Uses a persistent Apify Key-Value Store (`irozhlas-sitemap-cache`). Cache keys are namespaced by your `pathPrefixes` (e.g. `sitemap-7.xml--zpravy-domov+zpravy-svet--urls`). This means: - Changing `pathPrefixes` in the future automatically gives you fresh caches for the new combination. - Historical `sitemap-N.xml` files are downloaded + filtered **once** (per prefix set) and then reused forever for any date range. - Only the current highest-numbered sitemap (`sitemap-7.xml` today, later `sitemap-8.xml`, etc.) performs a cheap `HEAD` + `Last-Modified` check on every run. - Date filtering is applied only at output time. When a new higher sitemap appears (e.g. sitemap-8), the previous latest is automatically demoted to "historical" and its cache is reused without re-downloading. ### Input | Field | Type | Default | Description | |--------------------|--------|--------------------------|-----------| | `pathPrefixes` | array | `["zpravy-domov", "zpravy-svet"]` | URL path prefixes to keep | | `dateFrom` | string | — | YYYY-MM-DD (inclusive) | | `dateTo` | string | — | YYYY-MM-DD (inclusive) | | `proxyConfiguration` | object | Residential SK | Recommended | ### Output One dataset item per matching article: ```json { "url": "https://www.irozhlas.cz/zpravy-domov/ted-nema-duvod-utect-ale-pozdeji-ano-vysvetluje-soud-proc-nechal-persana-zadeha_1707020600_ogo", "date": "2017-07-02T06:00:00+02:00" } ```` ### Usage (from pipeline later) ```ts const run = await client.actor('jakub.kopecky/irozhlas-discovery').call({ pathPrefixes: ['zpravy-domov', 'zpravy-svet'], dateFrom: '2026-05-01', dateTo: '2026-05-31', }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); ``` ### Caching & Apify KV Store This Actor uses a persistent named Key-Value Store (`irozhlas-sitemap-cache`). **Important:** Apify KV Store keys are extremely restrictive: - Allowed characters: `a-zA-Z0-9!-_.'()` - Max length: 256 characters All cache keys are aggressively sanitized at runtime to prevent crashes. Keys are namespaced by `pathPrefixes` so changing them gives you fresh caches automatically. ### Deploy ```bash cd actors/irozhlas-discovery pnpm install apify push ``` Then use the returned Actor ID (e.g. `jakub.kopecky/irozhlas-discovery`). # Actor input Schema ## `pathPrefixes` (type: `array`): Only URLs whose path starts with one of these prefixes will be returned (e.g. zpravy-domov, zpravy-svet). ## `dateFrom` (type: `string`): YYYY-MM-DD. Only articles on or after this date are returned. ## `dateTo` (type: `string`): YYYY-MM-DD. Only articles on or before this date are returned. ## `proxyConfiguration` (type: `object`): Proxy settings for fetching sitemaps. Residential proxies recommended. ## Actor input object example ```json { "pathPrefixes": [ "zpravy-domov", "zpravy-svet" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "SK" } } ``` # 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 = { "pathPrefixes": [ "zpravy-domov", "zpravy-svet" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "SK" } }; // Run the Actor and wait for it to finish const run = await client.actor("jakub.kopecky/irozhlas-discovery").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 = { "pathPrefixes": [ "zpravy-domov", "zpravy-svet", ], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "SK", }, } # Run the Actor and wait for it to finish run = client.actor("jakub.kopecky/irozhlas-discovery").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 '{ "pathPrefixes": [ "zpravy-domov", "zpravy-svet" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "SK" } }' | apify call jakub.kopecky/irozhlas-discovery --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jakub.kopecky/irozhlas-discovery", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "iRozhlas Sitemap Discovery", "description": "Discovers historical article URLs from iROZHLAS.cz using their official sitemaps.", "version": "0.0", "x-build-id": "dqv0lg5hbBQEi0ZDv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jakub.kopecky~irozhlas-discovery/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jakub.kopecky-irozhlas-discovery", "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/jakub.kopecky~irozhlas-discovery/runs": { "post": { "operationId": "runs-sync-jakub.kopecky-irozhlas-discovery", "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/jakub.kopecky~irozhlas-discovery/run-sync": { "post": { "operationId": "run-sync-jakub.kopecky-irozhlas-discovery", "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": { "pathPrefixes": { "title": "Path prefixes to keep", "type": "array", "description": "Only URLs whose path starts with one of these prefixes will be returned (e.g. zpravy-domov, zpravy-svet).", "items": { "type": "string" } }, "dateFrom": { "title": "Date from (inclusive)", "type": "string", "description": "YYYY-MM-DD. Only articles on or after this date are returned." }, "dateTo": { "title": "Date to (inclusive)", "type": "string", "description": "YYYY-MM-DD. Only articles on or before this date are returned." }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings for fetching sitemaps. Residential proxies recommended." } } }, "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 } } } } } } } } } } ```