Python module for interacting with Netgear's Arlo camera system.
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Latest commit da7e519 Nov 17, 2018


Python module for interacting with Netgear's Arlo camera system.

Now in Golang!

If you love the Go programming language, check out arlo-golang. My goal is to bring parity to the Python version asap. If you know what you're doing in Go, I would appreciate any feedback on the general structure of the library, and contributions, etc.

This just a personal utility that I created out of necessity. It is by no means complete, although it does expose quite a bit of the Arlo interface in an easy to use Python pacakge. As such, this package does not come with unit tests (feel free to add them) or guarantees. All contributions are welcome and appreciated!

If you have a specific Arlo device that you want to improve support for, please consider sending me one! Since this project is solely maintained by yours truely and I don't have unlimited funds to support it, I can only really test and debug the code with the first gen Arlo cameras and basestation that I have. I also highly encourage and appreciate Pull Requests!

Please, feel free to contribute to this repo or buy Jeff a beer! Donate

Generous Benefactors (Thank you!)

Awesomely Smart Contributors (Thank you!)

  • kimc78 - Aug 16, 2018 - Added method to get CVR recording list.
  • jurgenweber - Apr 25, 2018 - Added Arlo Baby APIs!
  • pliablepixels - Apr 3, 2018 - Fixed up issues with the README.
  • manluk - Mar 2, 2018 - Squashed a couple of bugs.
  • notalifeform - Feb 10, 2018 - Fixed bug and formatting in example script.
  • erosen - Jan 27, 2018 - Added the ArloQ camera schema to the wiki.
  • deanmcguire - Dec 7, 2017 - Unravelled the mysteries of RTSP streaming video.
  • andijakl - Jul 24, 2017 - Added Python 3 support and cleaned up examples.
  • cemeyer2 - Nov 26, 2016 - Fixed setup issues.
  • LenShustek - Sep 14, 2016, - Added Logout().

If You'd like to make a diffrence in the world and get your name on this most prestegious list, have a look at our help wanted section!

Filing an Issue

Please read the Issue Guidelines and Policies wiki page BEFORE you file an issue. Thanks.


# Install latest stable package
$ pip install arlo


# Install from master branch
$ pip install git+

NOTE 1: requires TLS 1.2 for their API. So, if you're getting ssl errors, it's most likely related to your version of openssl. You may need to upgrade your openssl library. If you're running this library on OSX or macOS, they ship with openssl v0.9.x which does not support TLS 1.2. You should follow the instructions found here to upgrade your openssl library.

NOTE 2: Please ensure you don't have ANY other sseclient packages installed in addition to sseclient 0.0.18! This may cause this package to fail in unexpected ways. A common one that is known to cause issues is the sseclient-py 1.7 package. If you have a hard requirement to have more than one, please let me know and we can look into making that work.

After installing all of the required libraries, you can import and use this library like so:

from Arlo import Arlo

from datetime import timedelta, date
import datetime
import sys

PASSWORD = 'supersecretpassword'

	# Instantiating the Arlo object automatically calls Login(), which returns an oAuth token that gets cached.
	# Subsequent successful calls to login will update the oAuth token.
	# At this point you're logged into Arlo.

	today = ("%Y%m%d")
	seven_days_ago = ("%Y%m%d")

	# Get all of the recordings for a date range.
	library = arlo.GetLibrary(seven_days_ago, today)

	# Iterate through the recordings in the library.
	for recording in library:

		videofilename = datetime.datetime.fromtimestamp(int(recording['name'])//1000).strftime('%Y-%m-%d %H-%M-%S') + ' ' + recording['uniqueId'] + '.mp4'
		# The videos produced by Arlo are pretty small, even in their longest, best quality settings,
		# but you should probably prefer the chunked stream (see below). 
		#    # Download the whole video into memory as a single chunk.
		#    video = arlo.GetRecording(recording['presignedContentUrl'])
		#	 with open('videos/'+videofilename, 'wb') as f:
		#        f.write(video)
		#        f.close()
		# Or:
		# Get video as a chunked stream; this function returns a generator.
		stream = arlo.StreamRecording(recording['presignedContentUrl'])
		with open('videos/'+videofilename, 'wb') as f:
			for chunk in stream:

		print('Downloaded video '+videofilename+' from '+recording['createdDate']+'.')

	# Delete all of the videos you just downloaded from the Arlo library.
	# Notice that you can pass the "library" object we got back from the GetLibrary() call.
	result = arlo.BatchDeleteRecordings(library)

	# If we made it here without an exception, then the videos were successfully deleted.
	print('Batch deletion of videos completed successfully.')

except Exception as e:

For more code examples check out the wiki