rhgarcia / tropescraper

A tropes scraper
GNU Lesser General Public License v3.0
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Project status made-with-python GitHub license Github all releases GitHub issues PyPI version DOI

tropescraper

A tool to scrape all the films and their tropes from the website TV Tropes.

Requirements

This tool uses python >= 3.6

Install as library

If you want to use this tool, you don't need to download the sources or clone the repository. Just install the latest version through PyPi:

pip install tropescraper

This will create an executable called scrape-tvtropes

Running the executable

Try to execute

scrape-tvtropes

The script can take a few hours can take a long time, from hours to days, to finish, but don't worry, it can be stopped at any moment because it relies in file cache, so it will not try to re-download the same page twice even in different executions. You will notice because you will see thousands of "Cache hits" with the format:

INFO:tropescraper.adaptors.file_cache:Cache hit for https://tvtropes.org/pmwiki/pmwiki.php/Main/RulesOfTheRoad

The script will create a folder in the same directory called scraper_cache with thousand of small compressed files.

When the script finishes, you will also see a file called tvtropes.json with a JSON content in the following format:

{
  "film_identifier":[
    "trope_identifier", 
    "trope_identifier"
  ],
  ...
}, 

Dealing with unstructured data

The first version of the script considered that:

It is "very" straightforward to build the films->tropes map and we got ~12567 films scraped with ~40 tropes on average.

However, we discovered that some of the most popular tropes in DBTropes were missing in tropescraper, and this is because of the unstructured nature of the wiki.

The next version of the script considers that:

The assumptions above imply that the crawl is more intense now.

Considering all the new relations discovered, the average number of tropes by film goes up to ~104. Whilst the number of tropes and films do not grow much (on 2020/03, 12567 films and 26969 tropes) the dataset doubles the density in term of relations.

** Manual checks:

Due to the very nature of the wiki, it is hard to evaluate if we are missing films, tropes or relations. The code includes some basic integration tests.

Also, some manual tests are covered:

The log

The output should look like this:

INFO:tropescraper.tvtropes_scraper:Process started
* Remember that you can stop and restart at any time.
** Please, remove manually the cache folder when you are done

INFO:tropescraper.tvtropes_scraper:Scraping film ids...
INFO:tropescraper.adaptors.file_cache:Building cache directory: ./scraper_cache
INFO:tropescraper.adaptors.file_cache:Cache miss for https://tvtropes.org/pmwiki/pmwiki.php/Main/Film
INFO:tropescraper.adaptors.file_cache:Cache set for https://tvtropes.org/pmwiki/pmwiki.php/Main/Film
INFO:tropescraper.adaptors.file_cache:Cache miss for https://tvtropes.org/pmwiki/pmwiki.php/Main/Tropes
INFO:tropescraper.adaptors.file_cache:Cache set for https://tvtropes.org/pmwiki/pmwiki.php/Main/Tropes
...
...
INFO:tropescraper.adaptors.file_cache:Cache set for https://tvtropes.org/pmwiki/pmwiki.php/Film/ZyzzyxRoad
INFO:tropescraper.tvtropes_scraper:Saved dictionary <film_name> -> [<trope_list>] as JSON file tvtropes.json
INFO:tropescraper.tvtropes_scraper:Summary:
- Films: 12147
- Tropes: 26479
- Cache: CacheInformation(size=179513467, files_count=12290, 
  creation_date=datetime.datetime(2019, 9, 15, 14, 59, 2))

The tool is verbose so you can know the progress and estimate the duration of the process. You will be able to see a message in the form Status: {film_index}/{total} films scraped.

As result of improving the accuracy of the dataset by performing a hard-crawl of the tropes and sub-pages, the process can take longer and it is impossible to predict when the crawl will end. For this reason, a new log is included periodically to let you know how things are going:

INFO:tropescraper.use_cases.scrape_tropes_use_case:Status: 94645/inf tropes scraped. Average tropes by film: 104.3337312007639

Apart from this, ths output is not really interesting unless anything goes bad :-) and it can be ignored.

Work with the original code

If you are a developer and you want to work and improve the code you only need clone the project and install all the dependencies with:

git clone https://github.com/rhgarcia/tropescraper.git
cd tropescraper
pip install -r requirements.txt

To build the module,

  1. Don't forget to modify the version in setup.py according to the standard Semantic Versioning.

  2. Then, just run in the project folder:

    python3 setup.py sdist bdist_wheel
    pip install dist/tropescraper-<version>.tar.gz