# OGC API Coverages Extractor (`datamule/ogc-api-coverages-extractor`) Actor Point at ANY OGC API - Coverages endpoint (the JSON/CoverageJSON successor to WCS) — pygeoapi, GNOSIS, ldproxy, GeoServer. List coverage collections, describe their schema (axes, params, CRS), or summarize CoverageJSON (axis shape + value count) as flat rows. Pay per record. - **URL**: https://apify.com/datamule/ogc-api-coverages-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 Coverages Extractor A generic **"point at any OGC API - Coverages endpoint"** scraper. [OGC API - Coverages](https://ogcapi.ogc.org/coverages/) is the modern **JSON / CoverageJSON** REST standard for gridded and raster coverage data — the successor to the older XML **Web Coverage Service (WCS)**. Earth observation, climate reanalysis, elevation / DEM, land-cover, weather grids and satellite imagery are all published as *coverage collections* by national mapping agencies, space agencies, research data centres and spatial data infrastructures. **One actor spans them all.** Point it at any OGC API landing/root URL and it lists every coverage collection, describes their schema, or summarizes the CoverageJSON — with the **same normalized row shape regardless of the server software** (pygeoapi, Ecere GNOSIS, ldproxy, GeoServer, …). No per-server scraper needed. ### Three modes | Mode | What you get (one flat row per…) | |------|----------------------------------| | **collections** (default) | …coverage collection — `collectionId`, `title`, `coverage_available`, WGS84 `wgs84_bbox`, `temporal_interval`, `crs`, `coverageUrl` | | **describe** | …collection's schema — `domainType`, `axisLabels`, `axisSizes`, `referenceSystems`, `rangeParameters`, `parameterCount` | | **coverage** | …range **parameter** — `param`, `axis_shape`, `value_count`, `dataType`, `axisNames`, `unit`, `observedProperty` | Every row also carries provenance (`_sourceService`, `_ogcApi`, `_serverSoftware`, `_mode`) and a lossless, size-capped `_raw`. ### Why the coverage summary is safe (and fast) A single CoverageJSON grid can be **100 MB+** — the raw pixel/cell array is enormous. This actor never downloads it. The CoverageJSON `domain`, `parameters` and range headers all precede the giant `ranges.values` array, so the fetch is **byte-capped and streamed**: it reads just enough to summarize the axes, the range parameters and their shape (and computes `value_count` as the product of the grid axes), then stops. You get the full structure of a multi-million-cell coverage as one compact row — **never one row per cell**. ### Input ```json { "sources": ["https://demo.pygeoapi.io/master", "https://maps.gnosis.earth/ogcapi"], "mode": "collections", "collectionIds": ["gdps-temperature"], "maxRecords": 1000 } ```` - **sources** (required) — one or more OGC API landing/root URLs. Point at the root, not `/collections` or `/coverage`. - **mode** — `collections` (default), `describe`, or `coverage`. - **collectionIds** — restrict `describe` / `coverage` to specific collection ids; leave empty to process every coverage collection the endpoint exposes. - **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 (collections mode, example row) ```json { "_mode": "collection", "collectionId": "gdps-temperature", "title": "Global Deterministic Prediction System sample", "coverage_available": true, "wgs84_bbox": [-180.0, -90.0, 180.0, 90.0], "temporal_interval": null, "crs": ["http://www.opengis.net/def/crs/OGC/1.3/CRS84"], "coverageUrl": "https://demo.pygeoapi.io/master/collections/gdps-temperature/coverage", "_sourceService": "https://demo.pygeoapi.io/master", "_ogcApi": "coverages", "_serverSoftware": "pygeoapi" } ``` ### Behaviour & honesty - **Coverage-only.** Feature and record collections are filtered out — a coverage collection is detected by an `itemType: "coverage"` or a `coverage` link relation, so feature endpoints are never mis-scraped. - **Zero coverages is a real state.** A reachable endpoint that exposes no coverage collections 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: **pygeoapi** (ECCC weather grids) and **Ecere GNOSIS** (NaturalEarth rasters + CMIP/ERA5 climate coverages), confirming identical normalized output across vendors. # Actor input Schema ## `sources` (type: `array`): One or more root URLs of ANY OGC API - Coverages endpoint (the modern JSON/CoverageJSON successor to WCS for gridded/raster coverage data). Examples: https://demo.pygeoapi.io/master (pygeoapi reference server, weather grids) and https://maps.gnosis.earth/ogcapi (Ecere GNOSIS, NaturalEarth + climate rasters). Point at the landing/API root — do NOT include /collections or /coverage. ## `mode` (type: `string`): What to extract. "collections" (default): one row per COVERAGE collection the endpoint exposes (id, title, WGS84 bbox, temporal interval, CRS, coverage URL). "describe": one row per collection with its coverage schema (domain type, axis labels + sizes, reference systems, range parameter list). "coverage": one row per range PARAMETER with its grid axis\_shape + value\_count (the CoverageJSON is summarized from a byte-capped stream — never the multi-GB pixel array). ## `collectionIds` (type: `array`): Coverage collection id(s) to describe / summarize (used by the "describe" and "coverage" modes), e.g. gdps-temperature. Leave EMPTY to process EVERY coverage collection the endpoint exposes. Ignored in "collections" mode. ## `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 (pygeoapi, 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.pygeoapi.io/master" ], "mode": "collections", "collectionIds": [ "gdps-temperature" ], "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.pygeoapi.io/master" ], "collectionIds": [ "gdps-temperature" ], "maxRecords": 1000 }; // Run the Actor and wait for it to finish const run = await client.actor("datamule/ogc-api-coverages-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.pygeoapi.io/master"], "collectionIds": ["gdps-temperature"], "maxRecords": 1000, } # Run the Actor and wait for it to finish run = client.actor("datamule/ogc-api-coverages-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.pygeoapi.io/master" ], "collectionIds": [ "gdps-temperature" ], "maxRecords": 1000 }' | apify call datamule/ogc-api-coverages-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=datamule/ogc-api-coverages-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "OGC API Coverages Extractor", "description": "Point at ANY OGC API - Coverages endpoint (the JSON/CoverageJSON successor to WCS) — pygeoapi, GNOSIS, ldproxy, GeoServer. List coverage collections, describe their schema (axes, params, CRS), or summarize CoverageJSON (axis shape + value count) as flat rows. Pay per record.", "version": "0.1", "x-build-id": "rxcLxmS9Od9egOhit" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/datamule~ogc-api-coverages-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-datamule-ogc-api-coverages-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/datamule~ogc-api-coverages-extractor/runs": { "post": { "operationId": "runs-sync-datamule-ogc-api-coverages-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/datamule~ogc-api-coverages-extractor/run-sync": { "post": { "operationId": "run-sync-datamule-ogc-api-coverages-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 - Coverages endpoint (the modern JSON/CoverageJSON successor to WCS for gridded/raster coverage data). Examples: https://demo.pygeoapi.io/master (pygeoapi reference server, weather grids) and https://maps.gnosis.earth/ogcapi (Ecere GNOSIS, NaturalEarth + climate rasters). Point at the landing/API root — do NOT include /collections or /coverage.", "items": { "type": "string" } }, "mode": { "title": "Mode", "enum": [ "collections", "describe", "coverage" ], "type": "string", "description": "What to extract. \"collections\" (default): one row per COVERAGE collection the endpoint exposes (id, title, WGS84 bbox, temporal interval, CRS, coverage URL). \"describe\": one row per collection with its coverage schema (domain type, axis labels + sizes, reference systems, range parameter list). \"coverage\": one row per range PARAMETER with its grid axis_shape + value_count (the CoverageJSON is summarized from a byte-capped stream — never the multi-GB pixel array).", "default": "collections" }, "collectionIds": { "title": "Collection id(s)", "type": "array", "description": "Coverage collection id(s) to describe / summarize (used by the \"describe\" and \"coverage\" modes), e.g. gdps-temperature. Leave EMPTY to process EVERY coverage collection the endpoint exposes. Ignored in \"collections\" mode.", "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 (pygeoapi, 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 } } } } } } } } } } ```