Locations from Google Map

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This question on Stack Overflow was a fun challenge: extract the markers off an embedded Google Map.

This is what the original map looks like:

Delving into the API calls behind the site I found a GET request to https://cdn.storelocatorwidgets.com/ that retrieved the required data. A quick Python script retrieved the data.

import json
import requests
import re

UA = "Mozilla/5.0 (X11; Linux x86_64) Gecko/20100101 Firefox/125.0"

headers = {
    "User-Agent": "",
    "Accept": "*/*",
    "Accept-Language": "en-US,en;q=0.5",
    "Connection": "keep-alive",
    "Referer": "https://silkroadmed.com/",
    "Sec-Fetch-Dest": "script",
    "Sec-Fetch-Mode": "no-cors",
    "Sec-Fetch-Site": "cross-site",

params = {
    "callback": "slw",
    "_": "1716699895443",

response = requests.get(

data = response.text

# The JSON is wrapped in "slw(...)".
data = re.sub("^slw\(|\)$", "", data)

data = json.loads(data)

with open("hospital-locations.json", "wt") as file:
    json.dump(data, file, indent=2)

with open("hospital-locations.csv", "wt") as file:
    for location in data["stores"]:
        file.write('"%s", %f, %f\n' % (

I dumped it to both JSON (including some metadata) and CSV (just the names and locations).

To validate the data I loaded it into R.


locations <- read_csv("hospital-locations.csv")

Checked the first few records.

# A tibble: 6 × 3
  name                  lat    lon
  <chr>               <dbl>  <dbl>
1 Aashish P Gupta, MD  28.1  -80.6
2 Abdallah Naddaf, MD  40.9  -79.9
3 Abindra Sigdel, MD   38.2  -85.8
4 Adam D. Levitt, MD   28.5  -81.4
5 Adam Keefer, MD      32.8  -79.9
6 Adam Ring, MD        37.5 -122. 

And plotted.


leaflet(locations) |>
  addTiles() |>
  addCircleMarkers(popup = ~name) |>
    lng = -96,
    lat = 37,
    zoom = 3.5

Looks good.

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