# French Drinking Water Quality (Hub'Eau) (`vigilant_jasmine/french-drinking-water-quality`) Actor Official drinking water quality analyses for any French commune: nitrates, pesticides, bacteriology, conformity conclusions. Free — French Ministry of Health open data via Hub'Eau. - **URL**: https://apify.com/vigilant\_jasmine/french-drinking-water-quality.md - **Developed by:** [DEV DEV](https://apify.com/vigilant_jasmine) (community) - **Categories:** Business, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## French Drinking Water Quality (Hub'Eau) — Free **Get official drinking water quality analyses for any French commune** (qualité de l'eau potable). This free actor queries the French government Hub'Eau API (Ministry of Health / SISE-Eaux data) and returns the latest laboratory analyses for the communes you specify: parameters (nitrates, pesticides, bacteriology, lead…), measured results, units, regulatory limits and official conformity conclusions. This actor is **free** — you only pay your own Apify platform usage. ### Input | Field | Type | Description | |---|---|---| | `communeCodes` | array | INSEE commune codes (5 chars, e.g. `75056` = Paris). Required. | | `maxAnalyses` | integer | Max recent analyses per commune (default 20, max 500). | ### Output One dataset item per analysis result: ```json { "status": "found", "communeCode": "75056", "communeName": "PARIS", "parameter": "Nitrates (en NO3)", "result": "24", "numericResult": 24, "unit": "mg/L", "qualityLimit": "50 mg/L", "samplingDate": "2026-06-01T10:00:00Z", "conformityConclusion": "Eau d'alimentation conforme aux exigences de qualité", "distributor": "EAU DE PARIS" } ```` `status` is `found`, `not_found` (no analyses for this commune) or `error` (with an `error` message). The actor never crashes on an invalid input — it pushes an `error` item and continues. ### Use cases - Check tap water safety (nitrates, pesticides, lead, bacteriology) before moving to a commune. - Monitor water conformity across a list of communes for journalism or research. - Enrich real-estate or municipal datasets with water-quality signals. - Build alerts when a commune's water becomes non-conform. ### Limitations & fair use - Data source: [Hub'Eau — Qualité de l'eau potable](https://hubeau.eaufrance.fr/page/api-qualite-eau-potable), French open data (Licence Ouverte / Open Licence Etalab). - The actor applies a polite delay between requests. Please keep input lists reasonable. - Data freshness depends on official publication by health authorities. *** More actors by this developer: [see profile](https://apify.com/vigilant_jasmine) — French open-data toolkit (SIRENE companies, geocoding, fuel prices, schools, and more). # Actor input Schema ## `communeCodes` (type: `array`): List of French INSEE commune codes (5 characters, e.g. 75056 for Paris). One dataset item is pushed per analysis result. ## `maxAnalyses` (type: `integer`): Maximum number of most recent analysis results to return per commune. ## Actor input object example ```json { "communeCodes": [ "75056" ], "maxAnalyses": 20 } ``` # 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 = { "communeCodes": [ "75056" ] }; // Run the Actor and wait for it to finish const run = await client.actor("vigilant_jasmine/french-drinking-water-quality").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 = { "communeCodes": ["75056"] } # Run the Actor and wait for it to finish run = client.actor("vigilant_jasmine/french-drinking-water-quality").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 '{ "communeCodes": [ "75056" ] }' | apify call vigilant_jasmine/french-drinking-water-quality --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=vigilant_jasmine/french-drinking-water-quality", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "French Drinking Water Quality (Hub'Eau)", "description": "Official drinking water quality analyses for any French commune: nitrates, pesticides, bacteriology, conformity conclusions. Free — French Ministry of Health open data via Hub'Eau.", "version": "0.0", "x-build-id": "oRJwcY15LTodX8mo1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/vigilant_jasmine~french-drinking-water-quality/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-vigilant_jasmine-french-drinking-water-quality", "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/vigilant_jasmine~french-drinking-water-quality/runs": { "post": { "operationId": "runs-sync-vigilant_jasmine-french-drinking-water-quality", "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/vigilant_jasmine~french-drinking-water-quality/run-sync": { "post": { "operationId": "run-sync-vigilant_jasmine-french-drinking-water-quality", "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": [ "communeCodes" ], "properties": { "communeCodes": { "title": "INSEE commune codes", "type": "array", "description": "List of French INSEE commune codes (5 characters, e.g. 75056 for Paris). One dataset item is pushed per analysis result.", "items": { "type": "string" } }, "maxAnalyses": { "title": "Max analyses per commune", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of most recent analysis results to return per commune.", "default": 20 } } }, "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 } } } } } } } } } } ```