Good afternoon All,
I've been asked to supply a list of all SIP devices within our network.
We user "Polycom" IP phones as the SIP devices in this case.
Within the Meraki Cloud environment, we have a few dozen or so sites, all with Polycoms and it would take days or even weeks to manually access each individual site & manually record all of our Polycoms.
I've tried a general dashboard search for 'Polycom_6416' (the 'Description' name all of these devices start with) and received only 6 total results. A nice start, but obviously isn't enough.
How can I go about exporting the full list of one specific device type, across the whole of our network within the cloud?
Solved! Go to solution.
If I am not mistaken you could try the Download as button in the Clients Monitor section of the dashboard. It will export the Manufacturer data from the dashboard, which is a decent place to start. Below are some snips of those. Choose CSV and then use Excel to filter the data. This might be a more manual process, but might be quicker/easier for non coders.
You are going to have to write a script to walk across all the networks and extract this info. Go for Python.
https://developer.cisco.com/meraki/api/#/rest/guides/python-sdk-quick-start
If you don't have the skills consider bringing in someone experienced with Python. I'm guessing you could get a student to do the work for not very much.
I'm with @PhilipDAth here, the API is the way to go.
These are the steps you'll need:
If I am not mistaken you could try the Download as button in the Clients Monitor section of the dashboard. It will export the Manufacturer data from the dashboard, which is a decent place to start. Below are some snips of those. Choose CSV and then use Excel to filter the data. This might be a more manual process, but might be quicker/easier for non coders.
Hi Everyone,
Thanks for your assistance in coming to resolve on this.
As a non-coder, it looks likes SoCalRacer's suggestion is what I've gone with.
Of course, I'll have to go through each of my org's areas, as illustrated here, from 1 - 75, individually and then combine then into an Excel sheet. It's not as time consuming as I'd expected to be & about 30 minutes in I'm nearly halfway through.
So far so good. Thanks to all, for your assistance.