# OGC API Tiles Extractor (`datamule/ogc-api-tiles-extractor`) Actor Point at ANY OGC API - Tiles endpoint (the JSON-native successor to WMTS) — ldproxy, GNOSIS, GeoServer, pygeoapi. Inventory vector/map tileset offerings, list tile matrix sets (CRS, zoom levels, axes), or discovery-scan a server's tiles capabilities as flat rows. Pay per record. - **URL**: https://apify.com/datamule/ogc-api-tiles-extractor.md - **Developed by:** [Datamule](https://apify.com/datamule) (community) - **Categories:** Developer tools, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.35 / 1,000 records 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 ## OGC API Tiles Extractor A generic **"point at any OGC API - Tiles endpoint"** scraper. [OGC API - Tiles](https://ogcapi.ogc.org/tiles/) is the modern **JSON-native** standard for publishing tiled **vector** and **map/raster** data — the successor to the older XML **Web Map Tile Service (WMTS)**. Basemaps, vector tilesets, land-cover, imagery and thematic layers are all published as *tileset offerings* over standard *tile matrix sets* by national mapping agencies, spatial data infrastructures and modern map servers. **One actor spans them all.** Point it at any OGC API landing/root URL and it inventories every tileset offering, lists the tile matrix sets, or discovery-scans the server — with the **same normalized row shape regardless of the server software** (ldproxy, Ecere GNOSIS, GeoServer, pygeoapi, …). No per-server scraper needed. ### Three modes | Mode | What you get (one flat row per…) | |------|----------------------------------| | **tilesets** (default) | …tileset offering — `tileset_title`, `data_type` (vector/map), `tileMatrixSet_id`, `tileMatrixSet_uri`, `crs`, `tile_url_templates`, `tileset_url`, `zoom_levels`, `bbox` | | **tilematrixsets** | …tile matrix set the server publishes — `tms_id`, `tms_title`, `tms_crs`, `tileMatrix_count`, `tileMatrix_ids`, `ordered_axes`, `well_known_scale_set` | | **discovery** | …source — `api_title`, `tileset_endpoints`, `tileMatrixSet_ids`, `tileMatrixSet_count`, `collection_count` (one reconnaissance row per endpoint) | Every row also carries provenance (`_sourceService`, `_ogcApi`, `_serverSoftware`, `_mode`) and a lossless, size-capped `_raw`. ### Why it's a genuine generic runner OGC API - Tiles servers advertise tilesets two different ways, and this actor normalizes both to one row: - **Tile matrix set id** — some servers (ldproxy) give an explicit `tileMatrixSetId`; others (GNOSIS) give only a `tileMatrixSetURI`. The actor reads the explicit id when present and otherwise derives it from the URI's last path segment. - **Where tiles are advertised** — some servers advertise a per-collection tileset listing (`tilesets-vector` link relation on a collection); others advertise a server-level global listing (`/tiles`, `/map/tiles`). The actor follows the advertised link relations **and** probes the spec's standard entry points, so both conventions resolve. ### Input ```json { "sources": ["https://demo.ldproxy.net/vineyards", "https://maps.gnosis.earth/ogcapi"], "mode": "tilesets", "collections": [], "maxRecords": 1000 } ```` - **sources** (required) — one or more OGC API landing/root URLs. Point at the root, not `/tiles` or `/tileMatrixSets`. - **mode** — `tilesets` (default), `tilematrixsets`, or `discovery`. - **collections** — in `tilesets` mode, restrict to specific collection ids and drill into each collection's tiles; leave empty to read the fast server-level global tileset listing. Ignored in the other modes. - **maxRecords** — total row cap (each row is one billable event). Default 1000. - **bearerToken** / **extraHeaders** — optional, for auth-gated deployments. Not required for public OGC API endpoints. Never logged. ### Output (tilesets mode, example row) ```json { "_mode": "tilesets", "collectionId": "vineyards", "tileset_title": "Vineyards", "data_type": "vector", "tileMatrixSet_id": "WebMercatorQuad", "tileMatrixSet_uri": "http://www.opengis.net/def/tilematrixset/OGC/1.0/WebMercatorQuad", "crs": null, "tile_url_templates": ["https://demo.ldproxy.net/vineyards/tiles/WebMercatorQuad/{tileMatrix}/{tileRow}/{tileCol}?f=mvt"], "tileset_url": "https://demo.ldproxy.net/vineyards/tiles/WebMercatorQuad", "zoom_levels": 12, "bbox": [6.3021348, 49.0087017, 8.4179034, 50.6138935], "_sourceService": "https://demo.ldproxy.net/vineyards", "_ogcApi": "tiles", "_serverSoftware": "ldproxy" } ``` ### Behaviour & honesty - **Content negotiation handled.** Every request asks for `f=json`; if a server returns HTML (a content-negotiation miss) the resource is skipped with a warning — HTML is never parsed as tiles. - **Link-relation driven.** Tileset availability is discovered from the server's own `links[]` relations (`tilesets-vector`, `tilesets-map`, `tiling-schemes`), not hard-coded paths beyond the standard entry points. - **Zero tilesets is a real state.** A reachable endpoint that exposes no tilesets / tile matrix sets returns 0 rows and exits cleanly — no fabricated data. - **Bad sources are skipped** with a warning and the run continues; if *every* source fails, the run fails fast so nothing broken ships. ### Pricing Pay-per-event: one **record** charge per row returned. ### Verified Tested live against two independent server families: interactive-instruments **ldproxy** (vineyard vector tilesets) and Ecere **GNOSIS** (NaturalEarth vector + map tilesets across nine tile matrix sets), confirming identical normalized output across vendors. # Actor input Schema ## `sources` (type: `array`): One or more root URLs of ANY OGC API - Tiles endpoint (the modern JSON-native successor to WMTS for tiled vector/map data). Examples: https://demo.ldproxy.net/vineyards (interactive-instruments ldproxy, vector tilesets) and https://maps.gnosis.earth/ogcapi (Ecere GNOSIS, NaturalEarth vector + map tilesets). Point at the landing/API root — do NOT include /tiles or /tileMatrixSets. ## `mode` (type: `string`): What to extract. "tilesets" (default): one row per tileset OFFERING (collection id, tileset title, tile matrix set id/URI, data type vector/map, CRS, tile-URL templates, zoom-level count, bbox). Leave "Collection id(s)" empty to read the fast server-level global listing, or name collections to drill into each. "tilematrixsets": one row per TileMatrixSet the server publishes (id, title, CRS, tile-matrix count + ids, axis order). "discovery": one reconnaissance row per source summarizing its tiles capabilities (tileset endpoints, available TileMatrixSet ids, collection count). ## `collections` (type: `array`): Collection id(s) to drill into for tileset offerings (used only by "tilesets" mode), e.g. vineyards. Leave EMPTY to read the endpoint's server-level global tileset listing (fastest). Ignored in "tilematrixsets" and "discovery" modes. ## `maxRecords` (type: `integer`): Maximum total number of rows to emit across all sources and collections. Each returned row is one billable event. Default 1000. ## `bearerToken` (type: `string`): Optional OAuth2 bearer token for auth-gated deployments. Sent as Authorization: Bearer \*\*\* — NOT required for public OGC API endpoints (ldproxy, GNOSIS demos), leave empty. Never logged. ## `extraHeaders` (type: `object`): Optional extra HTTP headers to send with every request, as a JSON object, e.g. {"api-key": "..."} for a service that takes an API key in a header. Leave empty for public services. ## Actor input object example ```json { "sources": [ "https://demo.ldproxy.net/vineyards" ], "mode": "tilesets", "collections": [], "maxRecords": 1000 } ``` # 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 = { "sources": [ "https://demo.ldproxy.net/vineyards" ], "collections": [], "maxRecords": 1000 }; // Run the Actor and wait for it to finish const run = await client.actor("datamule/ogc-api-tiles-extractor").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 = { "sources": ["https://demo.ldproxy.net/vineyards"], "collections": [], "maxRecords": 1000, } # Run the Actor and wait for it to finish run = client.actor("datamule/ogc-api-tiles-extractor").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 '{ "sources": [ "https://demo.ldproxy.net/vineyards" ], "collections": [], "maxRecords": 1000 }' | apify call datamule/ogc-api-tiles-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=datamule/ogc-api-tiles-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "OGC API Tiles Extractor", "description": "Point at ANY OGC API - Tiles endpoint (the JSON-native successor to WMTS) — ldproxy, GNOSIS, GeoServer, pygeoapi. Inventory vector/map tileset offerings, list tile matrix sets (CRS, zoom levels, axes), or discovery-scan a server's tiles capabilities as flat rows. Pay per record.", "version": "0.1", "x-build-id": "PfaL1vd6P4YnjeaCN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/datamule~ogc-api-tiles-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-datamule-ogc-api-tiles-extractor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/datamule~ogc-api-tiles-extractor/runs": { "post": { "operationId": "runs-sync-datamule-ogc-api-tiles-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/datamule~ogc-api-tiles-extractor/run-sync": { "post": { "operationId": "run-sync-datamule-ogc-api-tiles-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "sources" ], "properties": { "sources": { "title": "OGC API service root URL(s)", "type": "array", "description": "One or more root URLs of ANY OGC API - Tiles endpoint (the modern JSON-native successor to WMTS for tiled vector/map data). Examples: https://demo.ldproxy.net/vineyards (interactive-instruments ldproxy, vector tilesets) and https://maps.gnosis.earth/ogcapi (Ecere GNOSIS, NaturalEarth vector + map tilesets). Point at the landing/API root — do NOT include /tiles or /tileMatrixSets.", "items": { "type": "string" } }, "mode": { "title": "Mode", "enum": [ "tilesets", "tilematrixsets", "discovery" ], "type": "string", "description": "What to extract. \"tilesets\" (default): one row per tileset OFFERING (collection id, tileset title, tile matrix set id/URI, data type vector/map, CRS, tile-URL templates, zoom-level count, bbox). Leave \"Collection id(s)\" empty to read the fast server-level global listing, or name collections to drill into each. \"tilematrixsets\": one row per TileMatrixSet the server publishes (id, title, CRS, tile-matrix count + ids, axis order). \"discovery\": one reconnaissance row per source summarizing its tiles capabilities (tileset endpoints, available TileMatrixSet ids, collection count).", "default": "tilesets" }, "collections": { "title": "Collection id(s)", "type": "array", "description": "Collection id(s) to drill into for tileset offerings (used only by \"tilesets\" mode), e.g. vineyards. Leave EMPTY to read the endpoint's server-level global tileset listing (fastest). Ignored in \"tilematrixsets\" and \"discovery\" modes.", "items": { "type": "string" } }, "maxRecords": { "title": "Max records (total)", "minimum": 1, "type": "integer", "description": "Maximum total number of rows to emit across all sources and collections. Each returned row is one billable event. Default 1000.", "default": 1000 }, "bearerToken": { "title": "Bearer token (optional)", "type": "string", "description": "Optional OAuth2 bearer token for auth-gated deployments. Sent as Authorization: Bearer *** — NOT required for public OGC API endpoints (ldproxy, GNOSIS demos), leave empty. Never logged." }, "extraHeaders": { "title": "Extra request headers", "type": "object", "description": "Optional extra HTTP headers to send with every request, as a JSON object, e.g. {\"api-key\": \"...\"} for a service that takes an API key in a header. Leave empty for public services." } } }, "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 } } } } } } } } } } ```