# Usgs Data Info Parser Spider (`getdataforme/usgs-data-info-parser-spider`) Actor The Usgs Data Info Parser Spider efficiently extracts and parses data from USGS URLs, offering structured JSON output. It features automated extraction, customizable parameters, scalable performance, and user-friendly setup, ideal for market research, academic projects, and business automation.... - **URL**: https://apify.com/getdataforme/usgs-data-info-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 1,000 results 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 Data Info Parser Spider ### Introduction The Usgs Data Info Parser Spider is a powerful tool designed to efficiently extract and parse data from specified USGS URLs. It provides reliable and structured access to valuable datasets for various applications. ### Features - **Automated Data Extraction**: Seamlessly scrape data from multiple USGS URLs. - **Customizable Input Parameters**: Tailor the spider's behavior with configurable options. - **High-Quality Output**: Receive well-structured JSON output for easy integration. - **Scalable Performance**: Adjust item limits to manage large datasets effectively. - **User-Friendly Setup**: Simple configuration and execution process. ### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|---------|----------|-----------------------------------------------------------------------------|----------------------------------------------| | DataUrls | array | Yes | The data URLs for the spider. Must be valid HTTP/HTTPS URLs. | `["https://www.usgs.gov/data/example"]` | | item_limit | integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | ### Example Usage #### Input JSON ```json { "DataUrls": [ "https://www.usgs.gov/data/survival-and-bioaccumulation-data-arctic-grayling-thymallus-arcticus-exposed-6ppdq", "https://www.usgs.gov/data/usgs-national-and-global-oil-and-gas-assessment-project-berkine-illizi-hamra-murzuq-and-erdis" ], "item_limit": 5 } ```` #### Output JSON ```json [ { "title": "Data summaries and visualizations for projected Canadian Forest Fire Danger Rating System (CFFDRS) metrics within Fire Danger Rating Areas in Alaska (1980–2099)", "date": "July 30, 2025", "details": "Customized products were created for fire management partners...", "reference": "Reference: Young, A.M., Littell, J., and Rupp, S., 2025...", "citation_information": { "Publication Year": "2025", "Title": "Data summaries and visualizations...", "DOI": "10.5066/P1AAMRUF", "Authors": "Katherine A Kurth, Andrew Maguire, Sarah E Whipple", "Product Type": "Data Release", "Record Source": "USGS Asset Identifier Service (AIS)", "USGS Organization": "National Climate Adaptation Science Center", "Rights": "This work is marked with CC0 1.0 Universal" }, "contact": { "name": "National Climate Adaptation Science Center", "address": "12201 Sunrise Valley Drive, MS 516, Reston, VA, 20192, United States", "email": "casc@usgs.gov", "phone": "" }, "actor_id": "CZz1iHBkAIfjlANgO", "run_id": "JOk6FhE8czEXinwXM" } ] ``` ### Use Cases - **Market Research and Analysis**: Extract data for market insights. - **Competitive Intelligence**: Monitor competitor activities through USGS datasets. - **Price Monitoring**: Track changes in relevant datasets over time. - **Content Aggregation**: Compile information from multiple sources into a single dataset. - **Academic Research**: Access structured data for research projects. - **Business Automation**: Automate data retrieval processes. ### Installation and Usage 1. Search for "Usgs Data Info Parser Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters as needed. 4. Click "Start" to begin extraction. 5. Monitor progress in the log. 6. Export results in your preferred format (JSON, CSV, Excel). ### Output Format The output is a JSON array containing objects with fields such as `title`, `date`, `details`, `reference`, `citation_information`, and `contact`. Each object represents a dataset extracted from the specified URLs. ### Error Handling Information - **Invalid URLs**: The spider will log errors for any invalid or unreachable URLs. - **Exceeding Item Limit**: If the item limit is reached, no further data will be scraped in that run. - **Network Issues**: Temporary network issues may cause retries; persistent failures will be logged. ### Rate Limiting and Best Practices - **Respectful Scraping**: Ensure compliance with USGS's terms of service regarding scraping frequency and volume. - **Adjust Item Limits**: Use the `item_limit` parameter to manage load on both the spider and target servers. - **Monitor Logs**: Regularly check logs for any errors or warnings during execution. ### Limitations and Considerations - **Data Availability**: The spider's effectiveness depends on the availability and structure of data at the specified URLs. - **Rate Limits**: Be mindful of potential rate limits imposed by USGS to avoid being blocked. - **Customization Needs**: Some datasets may require additional customization for optimal extraction. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: [Get Data For Me](https://getdataforme.com/contact/) We're here to help you get the most out of this Actor! # Actor input Schema ## `DataUrls` (type: `array`): The data urls for the spider. ## `item_limit` (type: `integer`): Maximum items to scrape per actor run. Set to 0 for no limit. ## Actor input object example ```json { "DataUrls": [ "https://www.usgs.gov/data/survival-and-bioaccumulation-data-arctic-grayling-thymallus-arcticus-exposed-6ppdq", "https://www.usgs.gov/data/usgs-national-and-global-oil-and-gas-assessment-project-berkine-illizi-hamra-murzuq-and-erdis", "https://www.usgs.gov/data/data-summaries-and-visualizations-projected-canadian-forest-fire-danger-rating-system-cffdrs" ], "item_limit": 10 } ``` # Actor output Schema ## `results` (type: `string`): Scraped data items from dataset # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/usgs-data-info-parser-spider").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 = {} # Run the Actor and wait for it to finish run = client.actor("getdataforme/usgs-data-info-parser-spider").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 '{}' | apify call getdataforme/usgs-data-info-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/usgs-data-info-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Usgs Data Info Parser Spider", "description": "The Usgs Data Info Parser Spider efficiently extracts and parses data from USGS URLs, offering structured JSON output. It features automated extraction, customizable parameters, scalable performance, and user-friendly setup, ideal for market research, academic projects, and business automation....", "version": "0.0", "x-build-id": "ZhJKEeP1kUJwcuLOX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~usgs-data-info-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-usgs-data-info-parser-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~usgs-data-info-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-usgs-data-info-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~usgs-data-info-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-usgs-data-info-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "DataUrls": { "title": "Data Urls", "minItems": 1, "type": "array", "description": "The data urls for the spider.", "default": [ "https://www.usgs.gov/data/survival-and-bioaccumulation-data-arctic-grayling-thymallus-arcticus-exposed-6ppdq", "https://www.usgs.gov/data/usgs-national-and-global-oil-and-gas-assessment-project-berkine-illizi-hamra-murzuq-and-erdis", "https://www.usgs.gov/data/data-summaries-and-visualizations-projected-canadian-forest-fire-danger-rating-system-cffdrs" ], "items": { "type": "string" } }, "item_limit": { "title": "Item limit", "minimum": 0, "type": "integer", "description": "Maximum items to scrape per actor run. Set to 0 for no limit.", "default": 10 } } }, "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 } } } } } } } } } } ```