AutoTor

Table of Contents

1. About the Project
   • Contents
   • Dependencies
2. Getting Started
   • Installation
   • Coding
3. Contributing

About the Project

Simple high-level API to make parallel requests throughout Tor in an automated way, with circuit renewal and randomised user-agents. It can be used to easily navigate in an anonymus way or to get information from webs. At the moment, AutoTor is not OS-agnostic as it is tailored to Windows but is expected to become compatible with, at least, Linux in the short-term.

Contents

The most important source code elements in the project are outlined and described as follows:

• main.py: Implements an example of how the library should be used.
• AutoTor module:
  • autotor_base.py: Implements a class that takes care of all the logic to automate Tor download, Tor configuration, Tor initialisation, getting request sessions, Tor circuit renewal, releasing Tor resources and performing parallel runs with a pool of threads.
  • autotor_ip.py: Implements an example class to override the request function that actually takes care of the requests. In this case, the function tries to get the IP in use by Tor.

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Dependencies

Among others, the project has been built around the following Python libraries:

• requests[socks] (>=2.27.1)
• stem (>=1.8.0)
• fake-useragent (>=0.1.11)

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Getting Started

Installation

Option 1 - setup.py

To install with pip by using the setup.py, one should just follow two steps:

1. Clone the project:

  git clone https://github.com/salvaba94/AutoTor.git

2. Run the following command to install the dependencies and AutoTor:

  pip install .

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Option 2 - PyPI

Installing AutoTor from PyPI is the simplest. It only requires the following command:

  pip install autotor

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Coding

Create your class

The main class of the package is TorRequests. It is a class with an abstract method request that should be implemented in any derived class to customise the request as desired by the user. TorIP is an example class illustrating how the derived class could be potentially implemented. Below is the metacode for a sample implementation:

from autotor import TorRequests
from threading import Lock

GLOBAL_LOCK = Lock()

class MyClass(TorRequests):

    # Override the initialisation function (if needed).
    def __init__(self, another_arg = 5, *args, **kwargs):
        # Initialise superclass.
        super(MyClass, self).__init__(*args, **kwargs)
        # Initialise other parameters.
        self.another_arg = another_arg

    # Override the request function and implement custom functionality. 
    # This function gets as inputs the elements the current thread should 
    # take care of and the ID of the current thread. Naturally, the 
    # function should be thread-safe.
    def request(self, elem, n_id):
        
        # Get Tor session.
        session = self.get_tor_session(n_id)
        # Renew Tor circuit.
        self.renew_tor_ip(n_id)

        # Use the session to get information.
        # Use elem to characterise the differences between requests.
        # Use GLOBAL_LOCK to handle non-atomic operations.
        ...

Note: In order to make the requests with another IP and user-agent just get another session and call the renew method. It is also recommended to randomise the waiting time between requests.

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Usage

Once one has implemented the request method in the derived class, one can use the threaded request version within a with statement to implicitly call the request method. Any opened resources will be automatically cleared upon exiting the statement.

from autotor import MyClass
import numpy as np

# Use threaded_request within a with statement. This function will 
# take care of allocating the list of requests among the thread pool.
with MyClass(another_arg = 20, n_process = 5, tor_root = ".") as tor:
    result = tor.threaded_request(np.arange(10))

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Contributing

Any contributions are greatly appreciated. If you have suggestions that would make the project any better, fork the repository and create a pull request or simply open an issue. If you decide to follow the first procedure, here is a reminder of the steps:

1. Fork the project.
2. Create your branch:

  git checkout -b branchname

3. Commit your changes:

  git commit -m "Add some amazing feature"

4. Push to the branch:

  git push origin branchname

5. Open a pull request.

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Disclaimer: The authors won't be hold accountable of any irresponsible misuse of the high-level API as per the MIT License. So, use it with care.

If you like the project and/or any of its contents results useful to you, don't forget to give it a star in GitHub! It means a lot to me .