It’s sort of like Apple’s Find My Friends and Facebook’s Live Location feature-only, you know, on Snapchat. Others can zoom in and find exactly where you are, down to the street address. Snap Map tracks your current location and places your Bitmoji avatar on a map like a pin. This week, though, Snapchat unveiled a feature that leverages your location data in a whole new way, and it’s got a lot of people freaked out. Sure, the app uses your whereabouts to help marketers sell you stuff, but what social media behemoth doesn't? What, you thought everyone saw that “Greetings from the Brooklyn Bridge” filter? Until recently, Snapchat didn’t do much with your location data beyond serving up geofilters and pushing location-specific stories. r 20000 will download all Snaps within a 20km radius of your coordinates.Snapchat has always known exactly where you are. The radius from the coordinates you provide that will be included for downloads. It will write archive.json to the specified output directory. You can export a JSON file with info about downloaded snaps with the –write-json argument, which will contain information like the time the Snap was posted, and the Snap location. `sh snapmap-archiver -o ~/Desktop/snap 'Example' ` You can also just pass 1 or more normal Snap URLs or IDs to the package to download it individually like this:
`sh snapmap-archiver -o ~/Desktop/snaps -f ~/Desktop/snaps.txt `
With -f or –file, you can specify a file containing a list of line-separated Snap URLs or IDs. It can also be used multiple times to download Snaps from multiple locations in one command. l is not required if an input file or Snap URL is provided. Unfortunately you have to use the arbitrary -l=”lat,lon” rather than just -l “lat,lon” when parsing negative numbers as argsparse interprets said numbers as extra arguments. # Setup (for working in a Python environment) This project will not work on Python 3.9 or below! A tool written in Python 3.10 to download all Snapmaps content from a specific location.īe sure to check that you’re using a version of Python that is 3.10 or above.
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