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I'm looking for a dataset which translates US store name and numbers to (geo) locations or street addresses.

For example:

Chick-Fil-A #2193 is located at 1845 Main St, Chester, MD 21619.
Panda Express #2529 is located at 4506 N Main St, Roswell, NM 88201.
Wendy's #5218 is located at 13430 W Maple Rd, Omaha, NE 68164.
Chipotle #1720 is located at 865 Market Street, Space C10, San Francisco, CA 94103.
J. Crew #508 is located at 3222 M St NW, Washington DC, 20007.
Nordstrom #736 is located at 9607 Research Boulevard, Austin, TX 78759.

It looks like there are a couple of (spammy) websites which try to do something similar, e.g. storelocations411.com and chargeprotect.com (not hyperlinked to avoid more link spam).

I'm surprised that there's nothing obvious out there, so I'm hoping I missed something - any help would be great!

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    What do you mean with "number"? Ordered by what?
    – RoyalTS
    Commented Apr 18, 2017 at 4:38
  • Good point, @phillbaker these does not look like UIDs (unique identifiers).
    – marfi
    Commented Apr 18, 2017 at 5:23
  • @RoyalTS many large chains identify each location by a number - these numbers are determined by the companies themselves and may be unique per region or globally. I gave a few examples in the question.
    – phillbaker
    Commented Apr 18, 2017 at 14:36
  • Ah, it looks like Foursquare may have some of this data as answered here: opendata.stackexchange.com/a/3241/15889. storeId in the venue response (developer.foursquare.com/docs/responses/venue) might work.
    – phillbaker
    Commented Apr 18, 2017 at 14:40

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