# 7Timer Weather Forecast Scraper (`parseforge/seventimer-weather-scraper`) Actor Pull weather forecasts from 7Timer for any location by coordinates. Each forecast step returns the time, temperature, weather type, cloud cover, wind direction and speed, humidity, and precipitation type. Useful for trip planning, outdoor scheduling, and building a weather feed. - **URL**: https://apify.com/parseforge/seventimer-weather-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** Developer tools, Automation, Travel - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.52 / 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. 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.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 ![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true) ## 🌤️ 7Timer Weather Forecast Scraper > 🚀 **Export a multi-day weather forecast for any coordinates in seconds.** Pull 3-hour forecast slots with temperature, cloud cover, wind, humidity, precipitation, and weather label on every record. 7Timer turns global numerical weather models into simple forecasts. This Actor reads the public 7Timer API for any latitude and longitude and returns a clean, ready to use feed with each forecast slot's real UTC timestamp already computed. | 🎯 Target Audience | 💡 Primary Use Cases | |---|---| | Outdoor and travel apps | Plan around the weather | | Stargazers and astronomers | Check seeing and transparency (astro product) | | Data analysts | Compare model forecasts across locations | | Hobby developers | Prototype a weather widget | ### 📋 What it does - Fetches a multi-day forecast for any latitude/longitude in 3-hour slots. - Computes the real forecast timestamp (UTC) for every slot from the model init time. - Returns temperature, cloud cover, wind direction and speed, humidity, and precipitation. - Supports the Civil (general weather) and Astro (astronomy seeing and transparency) products. ### ⚙️ Input | Field | Type | Description | |---|---|---| | `lat` | string | Latitude in decimal degrees. Defaults to Berlin (52.52). | | `lon` | string | Longitude in decimal degrees. Defaults to Berlin (13.405). | | `product` | select | `civil` (general weather) or `astro` (astronomy). | | `maxItems` | integer | How many forecast slots to return. Free plan is capped at 10. | **Example. Forecast for Tokyo** ```json { "maxItems": 24, "lat": "35.68", "lon": "139.69", "product": "civil" } ```` ### 📊 Output | Field | Description | |---|---| | `latitude` / `longitude` / `product` | Echoed request parameters | | 🕒 `forecastTime` / `timepointHours` | Slot timestamp (UTC) and hours from model init | | 🌡 `temp2m` | Temperature at 2m in °C | | ☁️ `cloudCover` | Cloud cover on a 1-9 scale | | 🧭 `windDirection` / 💨 `windSpeed` | Wind direction and 1-8 speed scale | | 💧 `humidity2mPct` | Relative humidity at 2m (%) | | 🌧 `precType` / `precAmount` | Precipitation type and amount | | 🌤 `weather` | Weather label, e.g. clearday, lightrainnight | | `liftedIndex` / `seeing` / `transparency` | Stability index and astronomy metrics (astro only) | | 🕒 `scrapedAt` | When the record was collected | | ❌ `error` | Null on success | ### 🚀 How to use 1. Create a free Apify account with [this sign up link](https://console.apify.com/sign-up?fpr=vmoqkp). 2. Open the 7Timer Weather Forecast Scraper in the Apify Console. 3. Enter latitude and longitude, pick a product, set how many slots you want, and run. 4. Collect the results from the output table or the API. ### ❓ FAQ **Do I need an API key?** No. The 7Timer API is public and keyless. **What is the time resolution?** The civil product returns 3-hour slots over several days. **Why are seeing and transparency empty?** They are only provided by the astro product. **🆘 Need Help?** [Open our contact form](https://tally.so/r/BzdKgA) > **⚠️ Disclaimer:** This is an independent tool, not affiliated with 7Timer. Only publicly available data is collected. # Actor input Schema ## `lat` (type: `string`): Latitude in decimal degrees, for example 52.52 for Berlin. Defaults to Berlin when empty. ## `lon` (type: `string`): Longitude in decimal degrees, for example 13.405 for Berlin. Defaults to Berlin when empty. ## `product` (type: `string`): Which 7Timer forecast to pull. Civil is a general weather forecast; Astro adds astronomy seeing and transparency for stargazing. ## `maxItems` (type: `integer`): Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000 ## Actor input object example ```json { "lat": "52.52", "lon": "13.405", "product": "civil", "maxItems": 10 } ``` # 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 = { "lat": "52.52", "lon": "13.405", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/seventimer-weather-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 = { "lat": "52.52", "lon": "13.405", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("parseforge/seventimer-weather-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 '{ "lat": "52.52", "lon": "13.405", "maxItems": 10 }' | apify call parseforge/seventimer-weather-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/seventimer-weather-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "7Timer Weather Forecast Scraper", "description": "Pull weather forecasts from 7Timer for any location by coordinates. Each forecast step returns the time, temperature, weather type, cloud cover, wind direction and speed, humidity, and precipitation type. Useful for trip planning, outdoor scheduling, and building a weather feed.", "version": "0.1", "x-build-id": "RpZ94gxBTfR3vyfXZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~seventimer-weather-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-seventimer-weather-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~seventimer-weather-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-seventimer-weather-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~seventimer-weather-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-seventimer-weather-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "lat": { "title": "Latitude", "type": "string", "description": "Latitude in decimal degrees, for example 52.52 for Berlin. Defaults to Berlin when empty." }, "lon": { "title": "Longitude", "type": "string", "description": "Longitude in decimal degrees, for example 13.405 for Berlin. Defaults to Berlin when empty." }, "product": { "title": "Forecast Product", "enum": [ "civil", "astro" ], "type": "string", "description": "Which 7Timer forecast to pull. Civil is a general weather forecast; Astro adds astronomy seeing and transparency for stargazing.", "default": "civil" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000" } } }, "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 } } } } } } } } } } ```