pygrab 2.1.1

A secure python library for fetching data with async, JS, and Tor support

PyGrab

PyGrab is a Python library for making HTTP requests. It is designed to be fully interoperable with the popular requests package in Python. All functions in PyGrab that make HTTP requests return requests.Response objects, making it easy to integrate into existing projects that use requests.

References

• GitHub Repo
• PyPi Page
• Documentation

Features

• Simple: PyGrab's API is designed to be straightforward and easy to use. If you're familiar with requests, you'll feel right at home.
• Flexible: Whether you need to make a simple GET request, post data to a server, or download a file, PyGrab has you covered.
• Asynchronous Support: PyGrab includes functions for making asynchronous HTTP requests, allowing you to efficiently grab data from multiple URLs at once.
• JavaScript Support: PyGrab can render JavaScript-enabled websites, allowing you to grab data from dynamic web pages.
• Interface with Tor Network: PyGrab includes built-in support for routing requests through the tor network.
• Automated IP Rotation: PyGrab includes built-in support for rotating connections to the Tor Network.

Installation

You can install PyGrab using pip:

pip install pygrab

Usage

Here's a simple example of how to use PyGrab to make a GET request:

import pygrab

response = pygrab.get('http://example.com')
print(response.text)

In this example, response is a requests.Response object. You can use it just like you would in requests.

Here's an example of how to use PyGrab to make asynchronous GET requests through the Tor Network:

import pygrab

pygrab.Tor.start_tor()

urls = ['http://example.com', 'http://example.org', 'http://example.net']
responses = pygrab.get_async(urls)

for response in responses.values():
    print(response.text)

In this example, responses is a dictionary of urls matched to their respective requests.Response objects. Each response corresponds to the URL at the same index in the urls list.

Contributing

Contributions are welcome. Please submit a pull request with any improvements.