Useful tools for crawling study resources. Supports Python library operations and command-line usage, with additional proxy options and cache support.
# python >= 3.7
pip install jvav -U
- DmmUtil
- JavDbUtil
- JavLibUtil
- JavBusUtil
- AvgleUtil
- MagnetUtil
- SukebeiUtil
- WikiUtil
- TransUtil
- RankUtil
# A sample for DmmUtil
import jvav
util = jvav.DmmUtil()
util.get_nice_avs_by_star_name('小倉由菜')
util.get_score_by_id('cawd-441')
util.get_all_top_stars()
usage: cmd.py [-h] [-v] [-av1 AV1] [-av2 AV2] [-av3 AV3] [-sg SG] [-auth AUTH]
[-nc] [-uc] [-sr SR] [-srn SRN] [-tg TG] [-pv1 PV1] [-pv2 PV2]
[-tp] [-p PROXY]
optional arguments:
-h, --help show this help message and exit
-v, --version Check version
-av1 AV1 Followed by a code, search this code on JavBus
-av2 AV2 Followed by a code, search this code on Sukebei
-av3 AV3 Followed by a code, search this code on JavDb
-sg SG Followed by a code, search the explainer video of this
code
-auth AUTH Followed by a authentication code for JavBus, get it
from cookie key: bus_auth
-nc Filter out high-definition subtitles magnet links
-uc Filter out uncoded magnet links
-sr SR Followed by an actress name, get a list of high-rated
codes based on the actress name
-srn SRN Followed by an actress name, get a list of the most
recent codes based on the actress name
-tg TG Followed by a keyword, search for codes based on the
keyword
-pv1 PV1 Followed by a code, get the corresponding preview
video of the code on DMM
-pv2 PV2 Follow a code, get the corresponding preview video of
the code on Avgle
-tp Get the top 25 ranking of DMM actresses
-p PROXY, --proxy PROXY
Followed by a proxy server address (by default reads
the value of the environment variable http_proxy)
I use python-3.7.12 for development, please use python <= 3.7.
And it is recommended to use python virtual environment to avoid some unnecessary problems.
Here is my developing steps:
git clone https://github.com/akynazh/jvav.git
cd jvav
~/.pyenv/versions/3.7.12/bin/python -m venv .venv
source ./.venv/bin/activate
pip3 install -r requirements.txt
And then you can enjoy coding! Remember to write or run test cases in tests/test.py
.
Please make sure the test is okay before submitting your code~
The following are some functions to be implemented, and I look forward to your contribution~
- support RankUtil in CMD
- cache the successful query results locally (Thanks: @akynazh)
- support javdb.com (Thanks: @Steven-Fake)
- support db.msin.jp
- support JavDbUtil in cmd (Thanks: @akynazh)
Thanks to JetBrains for their support to this project!