TORpedo

A simple python package to provide a TOR proxy for scraping sites

Prerequisites

You need to have a docker installed on your system. Also, currently the package only works for linux

Instalation

pip3 install git+https://github.com/mipo57/torpedo.git

Proxy Usage

import torpedo

with torpedo.new_session() as session:
    print(session.get("http://api.myip.com/").text)

The session object is derivative of requests.Session so u can use it exactly like you would use requests.Session normally. Mind that initialization (torpedo.new_session()) can take some time, so it's best to use single session for as long as possible. Also keep in mind that requests going through tor can be MUCH slower than direct ones. It's best to use this package in distributed context, where you would have number of scraping processes running in pararell, so that you don't wait too long for single request.

How it works?

Under the hood, for every session new docker container is started. This docker container will provide a proxy that the http and https requests will go through.

Runner Usage

import torpedo

def scrape(request_result):
    # Your custom scraping function

    return {'price': 13, 'weight': 15, 'name': "meat"}


sites = [
    "https://example.com/example1",
    "https://example.com/example2",
    "https://example.com/example3",
    "https://example.com/example4"
]

torpedo.run(
    scraping_func = scrape,
    urls = sites,
    num_workers = 15,
    max_retries = 4,
    request_timeout = 5.0
)

# results = [
#   {'price': 13, 'weight': 15, 'name': "meat"},
#   {'price': 13, 'weight': 15, 'name': "meat"},
#   {'price': 13, 'weight': 15, 'name': "meat"},
#   {'price': 13, 'weight': 15, 'name': "meat"}
# ]