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I am working a small project related to fast food industry. I am trying find GIS data for fast food chains like subway, MC Donald's, Arby's, etc in state of Ohio. Basically, I am looking for point location of each facility (for each fast food chain). I know that I could digitize them but that would be painful. Is there a faster way of getting this information? Excel files with the address details will also help.

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+1 Given the way fast food franchises are clustered, this dataset would be a good testbed for some interesting algorithms. E.g. A client side query that finds all clusters that have 3 or more restaurants but don't have a KFC. – Kirk Kuykendall Mar 26 '11 at 16:17
up vote 14 down vote accepted

Ian Spiro at scraped these data nationally in 2007. His site has a great interactive map; maybe you can get the data too (or scrape them!). Another place where you can find pubs and restaurants, at this time, is TheWebMiner Geo

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...beat me by 38 seconds :). I'll delete my post. – Derek Swingley Mar 25 '11 at 18:46
It came up when I Google it. I think I should send an e-mail and ask them if I can get the data in GIS format. Thanks! – Raj Mar 25 '11 at 19:54
This dataset sure isn't very accurate for my neighborhood. – Kirk Kuykendall Mar 25 '11 at 20:19
@Kirk It's good for mine--I wouldn't have recommended it without performing some kind of check!--but little has changed here since 2007. – whuber Mar 25 '11 at 20:48
@Raj I was just wondering how you made out with your request for these data. Did any of the solutions offered here work for you? – whuber May 20 '11 at 14:17

KFC have a store locator. Behind this is a FindNearBy web service that can be sent lat longs.

You can issue SOAP requests to this and get a nice list of stores in JSON. Alternatively just manually run a query for Ohio and copy the JSON reponse in FireBug.

    "Latitude": 40.393947,
    "Longitude": -82.488953,
    "Distance": 11.704096790435619,
    "Address": "301 West High Street",
    "City": "Mount Vernon",
    "StateProvince": "OH",
    "PostalCode": "43050",
    "Country": "US",
    "cssProperties": [
            "Name": "BusinessPhone",
            "Value": "(740)392-4900"
            "Name": "Buffet",
            "Value": false
            "Name": "LateNightHours",
            "Value": false

A similar approach can probably be taken with other chains. For example, the McDonalds Restaurant Locator performs an AJAX request based on the coordinates of the map, and returns the matching restaurants in a JSON payload. You can send a request with your given coordinates, eg:

"address":"<h3>329 WASHINGTON ST<\/h3>, BOSTON MA 02108 (617)557-0089 "
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+1 For showing how to do the scraping. – whuber Mar 27 '11 at 16:24
Just be aware of any "terms of service" on the websites being scraped - using the information in this manner is (probably) against their rules. I do it too, and am in a constant state of fear ;) – Stephen Lead Apr 18 at 6:49

Another potential data source could be OpenStreetMap. Look for features with amenity="fast_food" :)

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How do I do this? Just tried based on – giorgio79 May 24 '13 at 2:23

There are a number of paid-for datasets that you may need to consider. Often State Govt has listings of their businesses, as well as vendor's like InfoUSA or Dun & Bradstreet. I posted a similar question a while back with limited response.

Update: A quick Google search came up with Ohio Business Gateway as a likely candidate. Have you tried contacting them for an address list?

This article talks about likely options for all states in the US. "All 50 states make some level of corporate and business filings available online. In a few instances only limited information (such as name availability) is retrievable. The majority of the states, however, use their Web presence to disseminate a range of public business records -- and most of them offer access at no charge."

They suggest the checking with the Secretary of State for Ohio.

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August 1, 2011 blog posting:

"SimpleGeo’s CC0 Places data set is now available for download at no cost. If you’d like to get your hands on 21M+ POIs that cover 63 countries, we’re ready to hand that over to you in one file. The file is about 2GB in .ZIP format, and remember, with the CC0 license, this data becomes yours – free and clear – to do whatever you want. We hope you do awesome things with it!"

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January 12th, 2012: After SimpleGeo was acquired by Urban Airship in Oct 2011, Urban Aiship said “wind down the availability of the current versions of [SimpleGeo's] Places, Context, and Storage over the next few months.”...The target date for pulling the plug officially will be March 31, 2012. Link – RyanDalton Feb 7 '13 at 18:36

I've mentioned here previously that ESRI business analyst is a source for this. If you are in a university, perhaps they could get access to it.

Alternatively, InfoUSA is a possible source, either through a university license, or by paying directly per point (~20c per data point).

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POI Factory could give you some very good sources of data. You can download the data in CSV format with X,Y, and possibly some additional meta fields like address, city, state, zip, and phone. Being a crowd-sourced dataset, you have to take it with a grain of salt, but it also could theoretically be updated and verified by individuals more often than commercial data sources. It might take a little work to put them all into a single data layer, but I wouldn't imagine it would be terribly difficult.

Uncategorized POI Files- (where they have McDonald's, KFC, Subway data layers).

Note on Terms of Use: It does state that "The content and services on web site are provided for your personal, non-commercial use only. You may not use content or services from this web site to sell a product or service."

This site was referenced in the previous question: Does a national(USA) interstate rest stop/rest area dataset exist?

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I recommend either using the Factual APIs:{"$and":[{"region":"oh"},{"country":"us"},{"name":{"$bw":"McDonald's"},"category_ids":{"$includes":338}}]}&limit=50&offset=450

Or contacting them and asking them for a download. For a preview of the data, see here.

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Check out Red Lion Data a commercial supplier of accurate and up to date location data for the retail and restaurant markets.

They have a Fast food category here:

hope this helps.


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