Sadly, Freebase has been made "read only" March 31st 2015.
Actively maintained by a large community and used by a broad range of apps under a propriatary license that states free use:
TMDb is committed to free and open access to our APIs for commercial and non-commercial purposes. However, providing the APIs ...
Not sure if this would classify as a comment or an answer, but it's useful information nonethelss:
So in reading this question I HAVE to point this out - ever heard of the paper?:
Arvind Narayanan and Vitaly Shmatikov. "Robust De-anonymization of Large Datasets (How to Break Anonymity of the Netﬂix Prize Dataset)".
The University of Texas at Austin ...
I'm chosing to answer this from the perspective of "what open datasets are there for movies/songs".
Its worth noting that IMDB and MusicBrainz offer commercial usage agreements, assuming you're happy to pay.
MusicBrainz is an excellent starting point for music metadata. The Core data, which covers the artists, releases, songs is all in the public domain ...
MusicBrainz is available for commercial use, although not all of it is free.
Freebase has the majority of the information that's in MusicBrainz (imported from and linked back to MusicBrainz).
The largest source of open movie information is almost certainly Freebase. It is not as strong as IMDB for U.S. movies, but is likely stronger for Bollywood & ...
I don't have an answer but your request reminds me of a Slate.com article about characters shared scenes in Friends. The journalist explained his method:
To determine which characters shared scenes, I downloaded transcripts of all 236 episodes from this remarkably comprehensive fan site. For the purposes of this inquiry, I treated these transcripts as ...
Check out Wolfram Alpha API for things like:
This is the free (public) interactive form interface. You can get a download as raw data with a Pro Subscriber (paid) license.
Try these screenplay datasets:
But, perhaps, you may use subtitles to train only talks:
There is the Internet Movie Script Database (IMSDb) where you can view movie scripts online. You might be able to download enough pages to train your bot.
Alternatively, there's also OpenSubtitles, which is a collection of film subtitles that you might be able to use. These look like they're in a format meant to be used while watching a film, so you might ...
Have you taken a look at http://www.imdb.com/interfaces which includes a link to FTP mirrors where you can get data files that can presumably be joined in a RDBMS or other type of database system. Files you probably want to investigate are actors.list.gz, movies.list.gz, and release-dates.list.gz
Hope this helps!
For movies, in addition to DBPedia or Freebase (which are both heavily wikipedia derived) there is also http://www.omdb.org/ (though it may be shutting down).
See also http://datahub.io/dataset?q=movies
Edit: as Tom Morris points out Freebase whilst using some Wikipedia material has a lot of additional movie info.
Hmm I don't know if you could find something for a commercial use. But here are a few suggestions.
1) imdb if you do not want to play with api, you can download all the database. But not for commercial use.
2) An alternative api for movie database rotten tomatoes
3) An alternative api for movie database anditson
Since you need a commercial use, read very ...
I haven't seen any evidence of an API or official data set.
AggData.com has a CSV of Oscar winners from 1927-2010. Actually, they have two (see also this, which are similar but not the same. Both cover the same years and have the same row count, but I notice what looks like some CSV quoting issues from a little poking with csvkit. Also, frustratingly, the '...
The Cinemetrics database actually does have historical data from more than 14,000 movies dating from 1899 and the screen time for a variety of actors and actresses in these movies. You just need to look at this view of the database. However, for many movies, the focus is on the length of the shots, rather than the screen time for the actors.
The dataset is not available, it could be useful in several projects and this Sunday evening was boring: three good reasons to scrape this site.
Here is the file.
It contains the nominees and the winners from 1970* to 2016 (two sheets). Before merging both, I would prefer that someone take a look at it to check the data quality.
* I wonder why the ...
1) I would like to point you to a dataset and an API that provides IMDB information.
Here are some queries to get the information from your example, and to show you what kind of data to expect from the dumps.
Get the imdb_id (generic) of a movie, given the movie's name:
You can either query for that information like shown or download one of:
a) The ...
You can get all Wikidata items which are:
instance of (P31): film (Q11424)
origin from (P495): India (Q668)
with the following:
https://wdq.wmflabs.org/api?q=claim[31:11424] AND claim[495:668]
The last returns 21,595 entries.
About the TV shows I know a great site (eztv) with a list of airplay, info, trailers etc, but I cannot find anywhere about copywrite. Maybe you can contact with them and ask them about it.
You can refer to Cinemalytics Bollywood Movie APIs. Its free and is community driven, plus you can use it for commercial purpose as well. They also have Songs & Singers information linked with the movies data. Check out their API showcase for Bollywood Movies here.
One of my goals is to represent the Academy Awards completely in
Wikidata. Each person, film, song, production company needs an item.
Each nomination and award has to be represented in Wikidata. Most of
the work was done until the Oscars 2016.
This SPARQL query retrieves all the data about the ...
The IMDB data dump contains theater release dates (warning, 46MB file):
Unfortunately this is only cinema releases, and won't include TV showings or DVD releases. To get TV releases, the data source will probably be TV-specific.
If you are going to (have to) scrape this, take a look at OpenRefine (formerly Google Refine). In their second video tutorial they describe how to convert and massage a Wikipedia list.
The data on your Wikipedia page is a table, not a list, so it will be more complicated (especially, you'll have to deal with the different colspans).
You might find the MovieLens Datasets helpful. Here's how they describe the structure of their ratings data file:
All ratings are contained in the file ratings.csv. Each line of this file after the header row represents one rating of one movie by one user, and has the following format:
The lines within this file ...