Welcome to the Algolia repository of datasets.
The goal of this repository is to help you build something with Algolia, even if you don't have data of your own. Maybe you just want to try the API, or maybe you got inspired by some of those datasets to build something of your own.
Each directory of the repository holds json files that contains both the
actual records and the index configuration. You can use them to push data to
your own application on configure your settings through the API.
Most of them also come with credentials to directly query this data from our servers. In that case you won't need to push anything, but you will also be limited to querying as the API key we share only allows reading data, not updating it.
But there is much more data out there than what is in those files. That's what
we've compiled a list of interesting potential datasources. They will each
come in their own format (sometime a zip file to download, sometimes an API
to query).
They're here to give you ideas a of what you could build with Algolia. If you ever build something with any of those datasources, let us known, we'd love to see what you did. If you ever know of another good data source, we're open to Pull Requests as well :)
15.49TB of research data available on torrent format
Non-profit library of millions of free books, movies, software, music, and websites.
https://aws.amazon.com/datasets/
Datasets publicly hosted on AWS and available. Including population of Japan, Wikipedia page traffic, metadata about a million songs, social graph of Marvel Super-Heroes, Open StreetMap and much more.
Here is a Gist referencing curated APIs that would contain interesting data https://gist.github.com/soopa/8225112
And a dedicated repo: https://github.com/toddmotto/public-apis
7 years of crawled data on the web, million of pages and trillions of links between them. Sort of an open-source Google index
French National Library (BNF) online archives. Books, maps, press
http://www.imdb.com/interfaces
List of all actors, movies, shows, etc from IMDB.
https://www.kaggle.com/datasets
Large list of datasets for machine learning
- https://github.com/pixelastic/marvel/tree/master/records
- https://community.algolia.com/marvel-search/
List of all super-heroes and super villains of the Marvel universe. Extracted from sources (Wikipedia, Marvel API, DBPedia and aggregated in Algolia records.
http://commondatastorage.googleapis.com/books/syntactic-ngrams/index.html
List of n-grams extracted from the Google Books corpus. Not a regular dataset, but still worth noting.
http://wiki.openstreetmap.org/wiki/Downloading_data
Open-source alternative to Google Maps. Geolocated point of interestes, streets, etc.
Public domain books, available as both HTML and ebooks. They do not all follow the same format, so custom parsing is needed.
http://dh.library.yale.edu/projects/vogue/
All issues of the Vogue magazine, from 1892 to 2016. Including covers and pages. About 6TB of data.
Downloadable extracts of Wikipedia. In Wikitext, with metadata as embedded XML.