🦠 disease.sh Global Health Stats Scraper

🚀 Pull worldwide public health statistics in seconds. Filter by country, US state, continent, or global totals. No API key, no registration, no manual CSV wrangling.

The disease.sh Global Health Stats Scraper pulls structured public health data from the open disease.sh API, a community-maintained aggregator that surfaces Johns Hopkins, Worldometers, and CDC-style data sources in one unified shape. The actor exposes five scopes: by country, by US state, by continent, global totals, and vaccine coverage by country. Every record carries normalized counts, per-million ratios, population, ISO codes, and lat/long when available, so you can join it to maps, dashboards, or BI tools with no extra cleanup.

Country records include cases, today's cases, deaths, today's deaths, recovered, active, critical, total tests, tests per million, and population. Per-million ratios are also pre-computed for cases, deaths, tests, active, recovered, and critical. State records carry the same metrics scoped to US states. Continent records aggregate up. The vaccine scope returns a country-level coverage timeline. The result is a clean feed ready for epidemiological reports, public-interest dashboards, course material, or a research notebook.

🎯 Target audience	💼 Primary use cases
Public health researchers	Cross-country comparisons of case and death rates
Data journalists	Source up-to-date stats for explainers and visualizations
Educators	Build classroom datasets for data science and epidemiology
NGOs and policy teams	Track vaccine coverage and active case trends
Civic tech projects	Power community dashboards and transparency tools

📋 What the disease.sh Health Stats Scraper does

• 🌍 Scope picker. Choose countries, states, continents, all (global totals), or vaccineCoverage in one click.
• 🔃 Sort modes. Sort countries and states by cases, deaths, todayCases, todayDeaths, active, tests, recovered, or alphabetical country name.
• 🧮 Per-million ratios built in. Cases per million, deaths per million, tests per million, active per million, recovered per million, critical per million.
• 🏳️ ISO codes and geography. Each country record includes ISO 2 and ISO 3, continent name, latitude, longitude, and a flag image URL.
• 💉 Vaccine timelines. The vaccineCoverage scope returns the per-country last-day total dose figures keyed by date.
• 📋 Uniform schema across scopes. A scope discriminator on every record lets you union country, state, continent, global, and vaccine rows in one table.

Each record carries a scope field (country, state, continent, global, or vaccine) and a scrapedAt timestamp. Country and state records use a consistent core set of metrics so dashboards can flip between geographies without re-wiring columns.

💡 Why it matters: Public health data drives policy, research, and journalism. A clean, ready-to-query feed saves you hours of CSV wrangling and lets you focus on insight rather than parsing.

📊 Data fields

Each record includes: active, activePerOneMillion, cases, casesPerOneMillion, continent, country, critical, criticalPerOneMillion, deaths, deathsPerOneMillion, imageUrl, iso2, iso3, latitude, longitude, oneCasePerPeople, oneDeathPerPeople, oneTestPerPeople, population, recovered, recoveredPerOneMillion, scope, scrapedAt, tests, testsPerOneMillion, todayCases, todayDeaths, todayRecovered, updated. All 29 field names come from a real production run, so what you see here is what lands in your dataset.

🚀 How to use

1. 🔐 Create a free Apify account. Sign up at Apify and claim the $5 starter credit.
2. 🌍 Pick a scope. Choose countries, states, continents, global totals, or vaccine coverage.
3. 🔃 Set the sort. For country and state scopes, sort by cases, deaths, today's totals, or alphabetical.
4. ▶️ Run it. Free users get a 10-row preview, paid users can pull up to 1,000,000 records per run.
5. 📤 Export. Download JSON, CSV, or Excel, or push results into Google Sheets, Airtable, Slack, Notion, or a database via Apify integrations.

⏱️ Total time from sign-up to first dataset: about 90 seconds.

🔗 Recommended Actors

• 🌐 Wikidata Entity Search Scraper - enrich country records with structured entity references
• 📚 Open Library Scraper - source epidemiology book metadata for research
• 🔎 CrossRef Scraper - pull peer-reviewed public health research papers
• 🪙 OpenAlex Scraper - open scholarly graph for citation work
• 📈 GitHub Trending Scraper - find open-source health data tooling

💡 Pro Tip: browse the complete ParseForge collection for more data feeds across research, civic, and analytics ecosystems.

This Actor accesses publicly available data only. By using it you accept the responsibility to comply with the source's Terms of Service, rate limits, and applicable laws including data-protection regulations. The data is scraped on-demand from the upstream public API and is not cached or pre-stored by this Actor.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.