Corona Data Scraper pulls COVID-19 Coronavirus case data from verified sources, finds the corresponding GeoJSON features, and adds population data.
All sources are cited right in the same row as the data.
Select a file on the left to view and download it.
Contribute a scraper and your data will appear here tomorrow.
Join the Slack and chat in
#scraper-dev if you have any questions
File an issue on Github with complete details of the issue.
Cite this website and file an issue to have your project's URL added.
Corona Data Scraper pulls information from a variety of openly available world government data sources and curated datasets.
The ratings for the data sources here are based on how machine-readable, complete, and granular their data is — not on the accuracy or reliability of the information. We’re using a rating system like this because we’re trying to make governments more accountable for their data practices.
Take a look at the code to learn more about how the rating system works.
First, please have a look at our example format.
As the data itself is most important, please publish cumulative counts for cases, deaths, hospitalized, discharged, recovered, and total tests administered. If you cannot publish in JSON or CSV, at a minimum, please include a HTML
<table> with one row per locality at the most granular level you have.
Have a column for the name of this locality, and a column for each additional data point.
The best published sources include timestamps, allowing citizens and researchers alike better understand the data you have, over time, within your specific geographic region(s).