acheong08 / acheong08/apple-corelocation-experiments

go concurrent bssid scanner

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Descrizione

Thanks for this repo!

I "borrowed" code from this repo to implement a go concurrent BSSID scanner.

https://github.com/randomizedcoder/go-bssid-geolocator

Using this overnight I scanned and found ~91million
```
[das@t:~/Downloads]$ cat 2025_03_18_1640 | grep -v generateMACs | grep -v "Lat: -180.000000 Long: -180.000000" | wc -l
91273223
[das@t:~/Downloads]$ ls -lah 2025_03_18_1640
-rw-r--r-- 1 das users 9.2G Mar 19 14:50 2025_03_18_1640
```
Example of output
```

2025/03/18 17:15:17 Worker id:15 BSSID: 9c:5:d6:b:0:2 found at Lat: 41.567009 Long: 2.015902
2025/03/18 17:15:17 Worker id:15 BSSID: 6a:1e:19:9f:be:b6 found at Lat: 41.566376 Long: 2.015917 <--- Location = Barcelona
2025/03/18 17:15:17 Worker id:15 BSSID: 34:57:60:b4:42:7e found at Lat: 41.566753 Long: 2.014822
2025/03/18 17:15:17 Worker id:15 BSSID: 38:22:e2:54:a7:c7 found at Lat: 41.566376 Long: 2.015649
2025/03/18 17:15:17 Worker id:15 BSSID: 3e:93:b2:7f:2e:d0 found at Lat: 41.567039 Long: 2.015907
2025/03/18 17:15:17 Worker id:15 BSSID: 40:ae:30:86:74:4e found at Lat: 41.566380 Long: 2.015485
2025/03/18 17:15:17 Worker id:15 BSSID: 40:ae:30:86:74:aa found at Lat: 41.566505 Long: 2.015411
2025/03/18 17:15:17 Worker id:15 BSSID: 44:ff:ba:2d:88:d0 found at Lat: 41.567024 Long: 2.015716

```

If you are interested, possibly I could send you an MR to add my code into your repo

Thanks again

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