browserfetch 0.7.0

Usage

1. You’ll run a Python script containing some code like this:

from asyncio import gather, new_event_loop

from browserfetch import fetch, get, post, run_server


async def main():
    response1, response2, reponse3 = await gather(
        get('https://example.com/path1', params={'a': 1}),
        fetch('https://example.com/image.png'),
        post('https://example.com/path2', data={'a': 1}),
    )
    # do stuff with retrieved responses


loop = new_event_loop()
loop.create_task(start_server())
loop.run_until_complete(main())

2. Open your browser, goto http://example.com (perhaps solve a captcha and log in).

3. Copy the contents of browserfetch.js file and paste it in browser’s console. (You can use a browser extensions like violentmonkey/tampermonkey to do this step for you.)

That’s it! Your Python script starts handling requests. The browser tab should remain open of-coarse.

The server can handle multiple websocket connections from different websites simultaneously.

How it works

browserfetch communicates with your browser using a websocket. The fetch function just passes the request to browser and it is the browser that handles the actual request. Response data is sent back to Python using the same WebSocket connection.

Motivations

• browser_cookie3 stopped working on Chrome-based browsers. There is a workaround: ShadowCopy, but it requires admin privilege.

• Another issue with browser_cookie’s approach is that it retrieves cookies from cookie files, but these files are not updated instantly. Thus, you might have to wait or retry a few times before you can successfully access newly set cookies.

• ShadowCopying and File access are slow and inefficient operations.

Downsides

• Setting up browserfetch is more cumbersome since it requires running a Python server and also injecting a small script into the webpage. Using browser_cookie3 might be a better choice if there are many websites that you need to communicate with.