Instapy: Error from Digital Ocean Docker

[ericxor61a0c0d]

Not too familiar with docker but I ran into this issue, tried the possible solution (uncommenting) and didn't work!

Traceback (most recent call last): File "quickstart.py", line 14, in <module> InstaPy(username="***********",password="*******")\ File "/InstaPy/instapy/instapy.py", line 37, in __init__ self.browser = webdriver.Chrome('./assets/chromedriver', chrome_options=chro me_options) File "/usr/local/lib/python3.5/dist-packages/selenium/webdriver/chrome/webdriv er.py", line 69, in __init__ desired_capabilities=desired_capabilities) File "/usr/local/lib/python3.5/dist-packages/selenium/webdriver/remote/webdriv er.py", line 90, in __init__ self.start_session(desired_capabilities, browser_profile) File "/usr/local/lib/python3.5/dist-packages/selenium/webdriver/remote/webdriv er.py", line 177, in start_session response = self.execute(Command.NEW_SESSION, capabilities) File "/usr/local/lib/python3.5/dist-packages/selenium/webdriver/remote/webdriv er.py", line 236, in execute self.error_handler.check_response(response) File "/usr/local/lib/python3.5/dist-packages/selenium/webdriver/remote/errorha ndler.py", line 192, in check_response raise exception_class(message, screen, stacktrace) selenium.common.exceptions.WebDriverException: Message: unknown error: Chrome fa iled to start: exited abnormally (Driver info: chromedriver=2.29.461571 (8a88bbe0775e2a23afda0ceaf2ef7ee74e822c c5),platform=Linux 4.4.0-71-generic x86_64)

[timgrossmann]

@ericchenmelt How much does your Droplet have?

[ericxor61a0c0d]

512 mb ram, I got the cheapest $5 a month one

[tibor]

You have to use a version with at least 1GB RAM, more would be better.

[ericxor61a0c0d]

Upgraded, still didn't work!

[timgrossmann]

@ericchenmelt You should start posting the error with every comment.
We can't read your mind...

Please post what error is thrown.

[pekapa]

@ericchenmelt
Have you tried adding nogui=True to your InstaPy constructor?

[calebfornari]

@ericchenmelt When running with Docker you need a bit more than 1 GB memory. It works for me on a 2 GB server (AWS T2.Small), but was failing with this exact same error on a 1 GB DO droplet.