# ECDC Disease Surveillance Scraper | European Open Data (`parseforge/ecdc-disease-data-scraper`) Actor Collect European Centre for Disease Prevention and Control surveillance data: indicators, country, year, week, disease, age group, sex, value, unit, and population coverage. Export public health metrics to JSON, CSV, or Excel for epidemiology, research, and dashboard tracking. - **URL**: https://apify.com/parseforge/ecdc-disease-data-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $19.00 / 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. 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) ## ๐Ÿฆ  ECDC Disease Surveillance Data Scraper > ๐Ÿš€ **Export ECDC surveillance records in seconds.** Pull daily case and death counts by country and territory from the European Centre for Disease Prevention and Control open dataset. Download as CSV, Excel, JSON, or XML. > ๐Ÿ•’ **Last updated:** 2026-05-26 ยท **๐Ÿ“Š 13 fields** per record ยท 60,000+ rows ยท Global The **ECDC Disease Surveillance Data Scraper** queries the European Centre for Disease Prevention and Control public open data feed. Each row contains the reporting date, country and territory name, ISO geo identifier, continent, daily cases, daily deaths, population reference and the 14-day cumulative case rate per 100,000. The dataset underpins epidemiology research, dashboards and academic studies. **Coverage:** every country and territory tracked by ECDC across all continents. --- ### Target Audience / Use Cases | ๐ŸŽฏ Target Audience | ๐Ÿ’ก Primary Use Cases | |---|---| | Epidemiologists | Surveillance time-series studies | | Public-health agencies | Cross-country benchmarking | | Researchers | Population-adjusted modelling | | Data journalists | Build country comparison charts | | Dashboard builders | Power live disease trackers | | Students | Coursework datasets | --- ### ๐Ÿ“‹ What this scraper does - Pulls the ECDC open data JSON feed - Filters by country, geoId, continent or year - Returns daily cases, deaths, population, 14-day rate - Outputs JSON, CSV, Excel, XML --- > ๐Ÿ’ก **Why it matters:** ECDC remains a primary EU public health source. Direct exports let teams skip manual CSV downloads. --- ### ๐ŸŽฌ Full Demo _๐Ÿšง Coming soon_ --- ### โš™๏ธ Input
FieldTypeRequiredDefaultDescription
maxItemsintegerNo10Max records.
countrystringNoCountry name substring.
geoIdstringNoTwo-letter ISO geoId.
continentselectNoAnyContinent filter.
yearintegerNoReporting year.
**Example 1 - All Spain records:** ```json { "geoId": "ES", "maxItems": 1000 } ```` **Example 2 - 2020 European records:** ```json { "continent": "Europe", "year": 2020, "maxItems": 5000 } ``` > โš ๏ธ **Good to Know:** ECDC ended daily reporting on 14 December 2020; older records remain a complete daily archive. *** ### ๐Ÿ“Š Output Sample: ```json { "title": "Afghanistan", "dateRep": "14/12/2020", "year": 2020, "cases": 746, "deaths": 6, "country": "Afghanistan", "geoId": "AF", "countryterritoryCode": "AFG", "population": 38041757, "continent": "Asia" } ``` Key fields: title, dateRep, day, month, year, cases, deaths, country, geoId, countryterritoryCode, population, continent, cumulativeNumberFor14Days. *** ### โœจ Why choose this Actor - ๐ŸŸข Sourced directly from opendata.ecdc.europa.eu - ๐ŸŸข No registration, no API key - ๐ŸŸข Filter combinations supported - ๐ŸŸข Up to 1,000,000 records per paid run *** ### ๐Ÿ“ˆ How it compares to alternatives | Option | Free | Bulk export | Live | |---|---|---|---| | ECDC site download | Yes | Yes | Periodic | | WHO dashboard | Yes | Limited | Yes | | **ParseForge ECDC Scraper** | **Yes** | **Yes** | **Live** | *** ### ๐Ÿš€ How to use 1. [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) 2. Open this actor 3. Set filters, click Start 4. Download CSV / Excel / JSON / XML 5. Schedule or integrate *** ### ๐Ÿ’ผ Business use cases #### Surveillance dashboards Feed live disease counters with country granularity. #### Health-tech analytics Cross-reference cases with internal patient data. #### Insurance modelling Quantify regional risk exposure. #### Government reporting Benchmark domestic numbers against EU peers. *** ### ๐Ÿ”Œ Automating ECDC Scraper Integrates with **Make**, **Zapier**, **n8n**, **Slack**, **Airbyte**, **GitHub Actions**, **Google Drive**. *** ### ๐ŸŒŸ Beyond business use cases #### Research Drive epidemiological and modelling studies. #### Personal Track historical trends. #### Non-profit NGO health programmes. #### Experimentation Combine with WHO data for global coverage. *** ### ๐Ÿค– Ask an AI assistant about this scraper ChatGPT ยท Claude ยท Perplexity ยท Microsoft Copilot *** ### โ“ Frequently Asked Questions **Q: Source?** opendata.ecdc.europa.eu. **Q: API key?** No. **Q: Real-time?** The actor downloads the latest published file on every run. **Q: Coverage?** All ECDC-tracked countries and territories. **Q: Output formats?** JSON, CSV, Excel, XML. **Q: Free preview?** Yes, 10 records. **Q: Bulk size?** Up to 1,000,000 paid. **Q: What disease?** COVID-19 case distribution as published by ECDC. **Q: Is the 14-day rate per 100,000 included?** Yes, when published by ECDC. **Q: Are population values current?** Population reference is the ECDC `popData2019` field. *** ### ๐Ÿ”Œ Integrate with any app Webhooks, REST API, Make, Zapier, Slack, Airbyte, Google Sheets, and more. *** ### ๐Ÿ”— Recommended Actors | Actor | What it does | |---|---| | [Medicare Hospital Compare Scraper](https://apify.com/parseforge/hospital-compare-medicare-scraper) | US hospital quality data | | [FDA Drug Approvals Scraper](https://apify.com/parseforge/fda-drug-approvals-scraper) | FDA-approved drug records | | [ICD-10 Codes Scraper](https://apify.com/parseforge/icd10-codes-scraper) | Clinical code reference | > ๐Ÿ’ก **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge). **๐Ÿ†˜ Need Help?** [Open our contact form](https://tally.so/r/BzdKgA) > **โš ๏ธ Disclaimer:** independent tool, not affiliated with the European Centre for Disease Prevention and Control. Only publicly available data from opendata.ecdc.europa.eu is collected. # Actor input Schema ## `maxItems` (type: `integer`): Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000 ## `country` (type: `string`): Filter by country / territory name (case-insensitive substring). Examples: Spain, Germany, United States. ## `geoId` (type: `string`): Filter by two-letter ISO geoId (e.g. ES, DE, US). ## `continent` (type: `string`): Filter by continent (Africa, America, Asia, Europe, Oceania). ## `year` (type: `integer`): Filter by reporting year (e.g. 2020). ## Actor input object example ```json { "maxItems": 10 } ``` # Actor output Schema ## `results` (type: `string`): Scraped ECDC Disease Surveillance Data records # 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 = { "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/ecdc-disease-data-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "maxItems": 10 } # Run the Actor and wait for it to finish run = client.actor("parseforge/ecdc-disease-data-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "maxItems": 10 }' | apify call parseforge/ecdc-disease-data-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/ecdc-disease-data-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ECDC Disease Surveillance Scraper | European Open Data", "description": "Collect European Centre for Disease Prevention and Control surveillance data: indicators, country, year, week, disease, age group, sex, value, unit, and population coverage. Export public health metrics to JSON, CSV, or Excel for epidemiology, research, and dashboard tracking.", "version": "0.1", "x-build-id": "VmfDFMR904vUhcFRR" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~ecdc-disease-data-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-ecdc-disease-data-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~ecdc-disease-data-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-ecdc-disease-data-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~ecdc-disease-data-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-ecdc-disease-data-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "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" }, "country": { "title": "Country", "type": "string", "description": "Filter by country / territory name (case-insensitive substring). Examples: Spain, Germany, United States." }, "geoId": { "title": "GeoID", "type": "string", "description": "Filter by two-letter ISO geoId (e.g. ES, DE, US)." }, "continent": { "title": "Continent", "enum": [ "", "Africa", "America", "Asia", "Europe", "Oceania" ], "type": "string", "description": "Filter by continent (Africa, America, Asia, Europe, Oceania)." }, "year": { "title": "Year", "minimum": 2019, "maximum": 2030, "type": "integer", "description": "Filter by reporting year (e.g. 2020)." } } }, "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 } } } } } } } } } } ```