OnionSearch – Navigating The Depths Of The Dark Web

OnionSearch is a powerful Python3 tool designed for scraping URLs from various “.onion” search engines on the dark web.

Ideal for researchers and cybersecurity professionals, this script offers a streamlined approach to accessing hidden services.

With support for multiple search engines and customizable search parameters, OnionSearch is an essential utility for deep web exploration.

Currently Supported Search Engines

ahmia
darksearchio
onionland
notevil
darksearchenginer
phobos
onionsearchserver
torgle
onionsearchengine
tordex
tor66
tormax
haystack
multivac
evosearch
deeplink

Installation

With PyPI

pip3 install onionsearc

With Github

git clone https://github.com/megadose/OnionSearch.git
cd OnionSearch/
python3 setup.py install

Usage

Help:

usage: onionsearch [-h] [--proxy PROXY] [--output OUTPUT]
                  [--continuous_write CONTINUOUS_WRITE] [--limit LIMIT]
                  [--engines [ENGINES [ENGINES ...]]]
                  [--exclude [EXCLUDE [EXCLUDE ...]]]
                  [--fields [FIELDS [FIELDS ...]]]
                  [--field_delimiter FIELD_DELIMITER] [--mp_units MP_UNITS]
                  search

positional arguments:
  search                The search string or phrase

optional arguments:
  -h, --help            show this help message and exit
  --proxy PROXY         Set Tor proxy (default: 127.0.0.1:9050)
  --output OUTPUT       Output File (default: output_$SEARCH_$DATE.txt), where $SEARCH is replaced by the first chars of the search string and $DATE is replaced by the datetime
  --continuous_write CONTINUOUS_WRITE
                        Write progressively to output file (default: False)
  --limit LIMIT         Set a max number of pages per engine to load
  --engines [ENGINES [ENGINES ...]]
                        Engines to request (default: full list)
  --exclude [EXCLUDE [EXCLUDE ...]]
                        Engines to exclude (default: none)
  --fields [FIELDS [FIELDS ...]]
                        Fields to output to csv file (default: engine name link), available fields are shown below
  --field_delimiter FIELD_DELIMITER
                        Delimiter for the CSV fields
  --mp_units MP_UNITS   Number of processing units (default: core number minus 1)

[...]

Multi-Processing Behaviour

By default, the script will run with the parameter mp_units = cpu_count() - 1. It means if you have a machine with 4 cores, it will run 3 scraping functions in parallel.

You can force mp_units to any value but it is recommended to leave to default. You may want to set it to 1 to run all requests sequentially (disabling multi-processing feature).

Please note that continuous writing to csv file has not been heavily tested with multiprocessing feature and therefore may not work as expected.

Please also note that the progress bars may not be properly displayed when mp_units is greater than 1. It does not affect the results, so don’t worry.