# USGS Mineral Commodity Summaries Scraper (`jungle_synthesizer/usgs-mineral-commodity-summaries-scraper`) Actor Scrape production, reserves, import-reliance, and pricing data from the USGS Mineral Commodity Summaries — the authoritative annual source for ~85 minerals including lithium, cobalt, rare earths, and graphite. Returns normalised long-format rows from official USGS ScienceBase data-release ZIPs. - **URL**: https://apify.com/jungle\_synthesizer/usgs-mineral-commodity-summaries-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Business, Other - **Stats:** 3 total users, 2 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 ## USGS Mineral Commodity Summaries Scraper Scrapes structured production, reserves, import-reliance, and pricing data from the [USGS Mineral Commodity Summaries](https://www.usgs.gov/centers/national-minerals-information-center/mineral-commodity-summaries) — the authoritative annual dataset covering ~85 critical and nonfuel minerals including lithium, cobalt, rare earth elements, graphite, nickel, and more. Data is sourced directly from USGS ScienceBase data-release ZIPs and output as normalised long-format rows with commodity, year, metric, value, and unit. ### What you get Each row represents one **commodity + year + metric** observation. Salient rows contain US-centric statistics; World rows add country-level production and reserves. **Output fields:** | Field | Description | |---|---| | `commodity` | Commodity name (e.g. "Lithium", "Cobalt", "Rare Earths") | | `commodity_code` | USGS 5-letter code from filename (e.g. "lithi", "cobal", "rareee") | | `year` | Data year | | `metric` | Metric column name (e.g. "USprod_t", "Imports_t", "Price_dt", "NIR_pct") | | `value` | Metric value as string — preserves qualifiers like ">50", "W" (withheld), "E" (estimated) | | `unit` | Unit derived from metric suffix (metric tonnes, $/tonne, %, $/kg, count) | | `country` | Country for world-production rows; blank for US salient rows | | `estimate_flag` | USGS qualifier (E=estimated, W=withheld, NA=not available) | | `mcs_year` | MCS annual release year (e.g. 2025) | | `source_zip` | Dataset origin: `Salient_Commodity_Data` or `World_Data` | | `metadata_abstract` | Commodity definition from FGDC XML metadata (salient rows only) | ### Key use cases - **Supply-chain risk analysis** — track US net import reliance for critical minerals - **Investor research** — historical production, price, and reserve trends for lithium, cobalt, REEs - **Policy briefings** — world production by country for strategic materials - **ESG / compliance** — identify dependency on concentrated mineral supply chains ### Input | Field | Type | Default | Description | |---|---|---|---| | `maxItems` | integer | all | Maximum records to return | | `commodity` | string | all | Comma-separated filter (e.g. "lithium,cobalt,rare earths") | | `source_zip` | select | `all` | `all`, `salient` (US stats), or `world` (country production/reserves) | | `mcs_year` | integer | `2025` | Which MCS annual release to fetch | ### Example output — salient row (lithium, US imports) ```json { "commodity": "Lithium", "commodity_code": "lithium", "year": 2024, "metric": "Imports_t", "value": "3430", "unit": "metric tonnes", "country": "", "estimate_flag": "", "mcs_year": 2025, "source_zip": "Salient_Commodity_Data", "metadata_abstract": "This data release contains the U.S. salient statistics and world production data extracted from the LITHIUM data sheet of the USGS Mineral Commodity Summaries 2025." } ```` ### Example output — world row (lithium reserves by country) ```json { "commodity": "Lithium", "commodity_code": "", "year": 2024, "metric": "Mine production, lithium content_reserves_2024", "value": "1800000", "unit": "metric tons", "country": "United States", "estimate_flag": "", "mcs_year": 2025, "source_zip": "World_Data", "metadata_abstract": "" } ``` ### Data coverage - **~85 commodities** including all US-designated critical minerals - **5 years of salient data** per commodity (typically 2020–2024) - **1,250+ world production/reserve rows** across dozens of countries per commodity - **Annual update cadence** — new MCS release typically published each January ### Technical notes - No proxy required — USGS ScienceBase is a US government open-data portal - Downloads ZIPs in-memory; typical run completes in under 30 seconds - Memory: 512 MB ### Data source [USGS Mineral Commodity Summaries 2025 Data Release](https://www.sciencebase.gov/catalog/item/677eaf95d34e760b392c4970) Published by the USGS National Minerals Information Center. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `maxItems` (type: `integer`): Maximum number of records to return. Leave blank to return all records. ## `commodity` (type: `string`): Comma-separated list of commodity names or codes to filter (e.g. "lithium,cobalt,rare earths"). Leave blank for all ~85 commodities. ## `source_zip` (type: `string`): Which USGS data-release ZIP(s) to process: "salient" (US production/imports/ exports/price/NIR per commodity), "world" (world production and reserves by country), or "all" (both). Default is "all". ## `mcs_year` (type: `integer`): Which annual MCS release to fetch (e.g. 2025). Defaults to the latest available release (2025). Future releases will be auto-detected from the ScienceBase catalog. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 15, "commodity": "lithium,cobalt", "source_zip": "all", "mcs_year": 2025 } ``` # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 15, "commodity": "lithium,cobalt", "source_zip": "all", "mcs_year": 2025 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/usgs-mineral-commodity-summaries-scraper").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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 15, "commodity": "lithium,cobalt", "source_zip": "all", "mcs_year": 2025, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/usgs-mineral-commodity-summaries-scraper").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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 15, "commodity": "lithium,cobalt", "source_zip": "all", "mcs_year": 2025 }' | apify call jungle_synthesizer/usgs-mineral-commodity-summaries-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/usgs-mineral-commodity-summaries-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "USGS Mineral Commodity Summaries Scraper", "description": "Scrape production, reserves, import-reliance, and pricing data from the USGS Mineral Commodity Summaries — the authoritative annual source for ~85 minerals including lithium, cobalt, rare earths, and graphite. Returns normalised long-format rows from official USGS ScienceBase data-release ZIPs.\n", "version": "0.1", "x-build-id": "z0yL3pRjXqCy2ndLR" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~usgs-mineral-commodity-summaries-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-usgs-mineral-commodity-summaries-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~usgs-mineral-commodity-summaries-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-usgs-mineral-commodity-summaries-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~usgs-mineral-commodity-summaries-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-usgs-mineral-commodity-summaries-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of records to return. Leave blank to return all records." }, "commodity": { "title": "Commodity Filter", "type": "string", "description": "Comma-separated list of commodity names or codes to filter (e.g. \"lithium,cobalt,rare earths\"). Leave blank for all ~85 commodities.\n" }, "source_zip": { "title": "Source ZIP", "enum": [ "all", "salient", "world" ], "type": "string", "description": "Which USGS data-release ZIP(s) to process: \"salient\" (US production/imports/ exports/price/NIR per commodity), \"world\" (world production and reserves by country), or \"all\" (both). Default is \"all\".\n" }, "mcs_year": { "title": "MCS Year", "type": "integer", "description": "Which annual MCS release to fetch (e.g. 2025). Defaults to the latest available release (2025). Future releases will be auto-detected from the ScienceBase catalog.\n" } } }, "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 } } } } } } } } } } ```