# EPA UV Index Forecast Scraper (Envirofacts) (`compute-edge/epa-uv-index-scraper`) Actor Hourly UV index forecast and daily peak UV by U.S. ZIP code from the EPA Envirofacts SunWise UV Index API. - **URL**: https://apify.com/compute-edge/epa-uv-index-scraper.md - **Developed by:** [Compute Edge](https://apify.com/compute-edge) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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 ## EPA UV Index Forecast Scraper Fetch official **hourly and daily UV index forecasts** for any U.S. ZIP code straight from the **EPA Envirofacts SunWise** API. Perfect for **weather apps, outdoor recreation platforms, sunscreen and skincare brands, agriculture, occupational safety, and health-tech**. The U.S. Environmental Protection Agency partners with the National Weather Service to publish official UV index forecasts. This Actor wraps the Envirofacts UV endpoints and returns clean, structured records — no API key required. ### What you get | Field | Description | | --- | --- | | `zip` | 5-digit U.S. ZIP code | | `city` / `state` | Locality lookup | | `forecastType` | `hourly` or `daily` | | `dateTime` | Forecast hour or date | | `uvValue` | UV Index (0–11+) | | `uvAlert` | EPA UV alert flag (daily mode) | | `fetchedAtUtc` | When the forecast was pulled | ### How to scrape EPA UV Index data 1. Open the Actor and provide an array of **ZIP Codes** — defaults to a national sample. 2. Pick a **Forecast Mode**: - `hourly` — 24-hour-by-hour UV forecast (~24 records per ZIP). - `daily` — single peak UV reading and alert flag (~1 record per ZIP). - `both` — return both. 3. Click **Start**. Each ZIP costs one HTTP request per mode. ### Use cases - **Skincare / sunscreen e-commerce** — Trigger localized push notifications on high-UV days. - **Outdoor recreation** — Surface UV warnings in hiking, beach, and golf apps. - **Occupational safety** — Daily UV briefings for construction, agriculture, lifeguards. - **Insurance / health-tech** — Personalized sun-exposure risk modeling. - **Wearables** — Pair with location to enrich UV-exposure data. ### Pricing Priced at **$0.003 per result**. A 50-ZIP daily run costs about $0.15 plus Apify compute. ### Input example ```json { "zipCodes": ["10001", "90210", "60601", "33101", "75201"], "mode": "hourly" } ```` ### Output example ```json { "zip": "10001", "city": "New York", "state": "NY", "forecastType": "hourly", "dateTime": "May/15/2026 12 PM", "uvValue": 7 } ``` ### Related Actors - **Open-Meteo Weather Scraper** — full weather forecast pairing. - **NWS Weather Alerts Scraper** — official severe-weather alerts. - **NDBC Marine Buoy Scraper** — ocean conditions. ### FAQ **Do I need an API key?** No — the EPA Envirofacts SunWise API is public. **How fresh is the data?** Forecasts refresh daily from the National Weather Service. **Can I batch hundreds of ZIPs?** Yes. The Actor calls each ZIP sequentially; throughput is roughly 60 ZIPs per minute. ### Legal Data is provided by the U.S. Environmental Protection Agency under federal open-data policy. No authentication is bypassed. Users should comply with [EPA Envirofacts terms](https://www.epa.gov/enviro/about-envirofacts). Support: bciccarelli6@gmail.com # Actor input Schema ## `zipCodes` (type: `array`): List of U.S. 5-digit ZIP codes to fetch UV forecasts for. Example: \['10001', '90210', '60601']. ## `mode` (type: `string`): Hourly (full-day hour-by-hour) or Daily (peak UV summary). ## Actor input object example ```json { "zipCodes": [ "10001", "90210", "60601", "33101", "75201" ], "mode": "hourly" } ``` # Actor output Schema ## `dataset` (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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("compute-edge/epa-uv-index-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 = {} # Run the Actor and wait for it to finish run = client.actor("compute-edge/epa-uv-index-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 '{}' | apify call compute-edge/epa-uv-index-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=compute-edge/epa-uv-index-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "EPA UV Index Forecast Scraper (Envirofacts)", "description": "Hourly UV index forecast and daily peak UV by U.S. ZIP code from the EPA Envirofacts SunWise UV Index API.", "version": "0.1", "x-build-id": "mc31qWjmq7KnfcprU" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/compute-edge~epa-uv-index-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-compute-edge-epa-uv-index-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/compute-edge~epa-uv-index-scraper/runs": { "post": { "operationId": "runs-sync-compute-edge-epa-uv-index-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/compute-edge~epa-uv-index-scraper/run-sync": { "post": { "operationId": "run-sync-compute-edge-epa-uv-index-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", "properties": { "zipCodes": { "title": "ZIP Codes", "type": "array", "description": "List of U.S. 5-digit ZIP codes to fetch UV forecasts for. Example: ['10001', '90210', '60601'].", "default": [ "10001", "90210", "60601", "33101", "75201" ], "items": { "type": "string" } }, "mode": { "title": "Forecast Mode", "enum": [ "hourly", "daily", "both" ], "type": "string", "description": "Hourly (full-day hour-by-hour) or Daily (peak UV summary).", "default": "hourly" } } }, "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 } } } } } } } } } } ```