ctdl 1.5.0

Features

• ctdl can be used as a command line utility as well as a desktop GUI.

• ctdl fetches file links related to a search query from Google Search.

• Files can be downloaded parallely using multithreading.

• ctdl is Python 2 as well as Python 3 compatible.

Installation

• To install content-downloader, simply,

$ pip install ctdl

• There seem to be some issues with parallel progress bars in tqdm which have been resolved in this pull. Until this pull is merged, please use my patch by running this command:

$ pip install -U git+https://github.com/nikhilkumarsingh/tqdm

Desktop GUI usage

To use ctdl desktop GUI, open terminal and run this command:

$ ctdl-gui

Command line usage

$ ctdl [-h] [-f FILE_TYPE] [-l LIMIT] [-d DIRECTORY] [-p] [-a] [-t]
       [-minfs MIN_FILE_SIZE] [-maxfs MAX_FILE_SIZE] [-nr]
       [query]

Optional arguments are:

• -f FILE_TYPE : set the file type. (can take values like ppt, pdf, xml, etc.)

  Default value: pdf

• -l LIMIT : specify the number of files to download.

  Default value: 10

• -d DIRECTORY : specify the directory where files will be stored.

  Default: A directory with same name as the search query in the current directory.

• -p : for parallel downloading.

• -minfs MIN_FILE_SIZE : specify minimum file size to download in Kilobytes (KB).

  Default: 0

• -maxfs MAX_FILE_SIZE : specify maximum file size to download in Kilobytes (KB).

  Default: -1 (represents no maximum file size)

• -nr : prevent download redirects.

  Default: False

Examples

• To get list of available filetypes:

$ ctdl -a

• To get list of potential high threat filetypes:

$ ctdl -t

• To download pdf files on topic ‘python’:

$ ctdl python This is the default behaviour which will download 10 pdf files in a folder named ‘python’ in current directory.

• To download 3 ppt files on ‘health’:

$ ctdl -f ppt -l 3 health

• To explicitly specify download folder:

$ ctdl -d /home/nikhil/Desktop/ml-pdfs machine-learning

• To download files parallely: $ ctdl -f pdf -p python

• To search for and download in parallel 10 files in PDF format containing the text “python” and “algorithm”, without allowing any url redirects, and where the file size is between 10,000 KB (10 MB) and 100,000KB (100 MB), where KB means Kilobytes, which has an equivalent value expressed in Megabytes: $ ctdl -f pdf -l 10 -minfs 10000 -maxfs 100000 -nr -p "python algorithm"

Usage in Python files

from ctdl import ctdl

ctdl.download_content(
file_type = 'ppt',
limit = 5,
directory = '/home/nikhil/Desktop/ml-pdfs',
query = 'machine learning using python')

TODO

• [X] Prompt user before downloading potentially threatful files

• [X] Create ctdl GUI

• [ ] Implement unit testing

• [ ] Use DuckDuckgo API as an option

Want to contribute?

• Clone the repository

$ git clone http://github.com/nikhilkumarsingh/content-downloader

• Install dependencies $ pip install -r requirements.txt

Note: There seem to be some issues with current version of tqdm. If you do not get expected progress bar behaviour, try this patch:

$ pip uninstall tqdm $ pip install git+https://github.com/nikhilkumarsingh/tqdm

• In ctdl/ctdl.py, remove the . prefix from .downloader and .utils for the following imports, so it changes from: python from .downloader import download_series, download_parallel from .utils import FILE_EXTENSIONS, THREAT_EXTENSIONS to: python from downloader import download_series, download_parallel from utils import FILE_EXTENSIONS, THREAT_EXTENSIONS

• Run the python file directly python ctdl/ctdl.py ___ (instead of with ctdl ___)