E-commerce Location Scraper: store locations for major chains

Collect every store location for major restaurant and retail chains - name, full address, coordinates, phone, opening hours, and store attributes - as clean schema.org Restaurant records, with no API required.

What does E-commerce Location Scraper do?

E-commerce Location Scraper enumerates every store unit for the chains you select and returns them as structured schema.org Restaurant records. Each chain has its own native data format; the Actor normalizes them all into one consistent shape, so address, coordinates, opening hours, and store attributes look the same no matter which chains you pick. Point it at one or more supported chains and export to JSON, CSV, or Excel.

• 📍 Full location detail - name, address, coordinates, phone, and store code
• 🕒 Opening hours - normalized per-day open and close intervals
• 🏪 Store attributes - drive-thru, delivery, breakfast, and other advertised features
• 🔗 schema.org output - clean Restaurant records ready for POI and mapping tools
• 📊 101 chains - one normalized schema across every supported chain

What data can you extract?

Field	schema.org type	Description
name	Text	Store name
url	URL	Store page URL
telephone	Text	Store phone number
branchCode	Text	The chain's store code
address	PostalAddress	Street, city, region, postal code, country
geo	GeoCoordinates	Latitude and longitude
openingHoursSpecification	OpeningHoursSpecification[]	Per-day open and close intervals in 24-hour time
amenityFeature	LocationFeatureSpecification[]	Store attributes such as Drive Thru, Breakfast, or Delivery

Any field the source does not publish is null, or an empty array for hours and attributes.

Which chains does it support?

101 chains. Coverage is United States unless the name says otherwise: Starbucks and Popeyes have separate US and Canada options, and Currys is United Kingdom.

Chain	Chain	Chain	Chain
Subway	Taco Bell	Domino's	Little Caesars
Pizza Hut	Burger King	Wendy's	Starbucks (US)
Starbucks (Canada)	Popeyes (US)	Popeyes (Canada)	McDonald's
Dunkin'	Chipotle	KFC	Dairy Queen
Chick-fil-A	Papa Johns	Jersey Mike's	Jimmy John's
Wingstop	Panda Express	Baskin Robbins	Jack in the Box
Panera Bread	Tropical Smoothie Cafe	Waffle House	IHOP
Applebee's	Five Guys	Hardee's	Auntie Anne's
Smoothie King	Buffalo Wild Wings	Denny's	Marco's Pizza
Firehouse Subs	Chili's	Whataburger	Dutch Bros Coffee
Culver's	Zaxby's	Papa Murphy's	Cold Stone Creamery
Tim Hortons	Arby's	Krispy Krunchy Chicken	Crumbl Cookies
Togo's	Sonic Drive-In	Hunt Brothers Pizza	Round Table Pizza
Longhorn Steakhouse	Foxtail Coffee Co	Pizza Patron	Walk-On's Sports Bistreaux
Manhattan Bagel	Arctic Circle	Jim 'N Nick's Bar-B-Q	McMenamins
The Original Pizza King	Dirty Dough	Moge Tee	Chicken Kitchen
East Coast Wings + Grill	Gravity Coffee	Don Tortaco Mexican Grill	The Tin Roof
Oregano's Pizza Bistro	Earl of Sandwich	Bono's Bar-B-Q	Loving Hut
Swenson's Drive-In	Roly Poly	Culinary Dropout	Noches de Colombia
Pinspiration	City Bites	Larry's Pizza	Del Frisco's Grille
Russ' Restaurant	Abuelo's	Georgio's Oven Fresh Pizza	Scoops Ice Cream
3 Margaritas	Crema Gourmet Espresso Bar	Kaldi's Coffee	SPIN! Pizza
Noble Roman's	U.S. Pizza Co.	Finney's Crafthouse	V Pizza
KazuNori	Buzz Inn Steak House	Riko's Pizza	Matchbox
Egg Tuck	Ramunto's Brick Oven Pizza	Cafe Du Monde	Kopan Sushi and Ramen Bar
Currys

How does E-commerce Location Scraper work?

1. Select one or more supported chains
2. Set maxLocationsPerChain to cap how many locations to collect per chain
3. The Actor enumerates each chain's store units and normalizes them to schema.org
4. Results stream to a dataset you can preview or export as JSON, CSV, or Excel

How to use E-commerce Location Scraper

1. Create a free Apify account
2. Pick the chains to collect locations for
3. (Optional) Set the maximum locations per chain
4. Click Start
5. Download your data from the Dataset tab

Input

Field	Type	Default	Description
locationsUrls	array	required	The chains to collect locations for, from the supported list. Defaults to Subway.
maxLocationsPerChain	integer	1000	Maximum locations per chain, applied independently to each chain.

{
  "locationsUrls": ["Chick-fil-A", "Starbucks (US)"],
  "maxLocationsPerChain": 500
}

What does the output look like?

Each dataset item is one store location as a schema.org Restaurant:

{
  "@context": "https://schema.org",
  "@type": "Restaurant",
  "name": "Chick-fil-A",
  "url": "https://www.chick-fil-a.com/locations/va/leesburg",
  "telephone": "+17037771200",
  "branchCode": "02710",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "1002 Edwards Ferry Rd NE",
    "addressLocality": "Leesburg",
    "addressRegion": "VA",
    "postalCode": "20176",
    "addressCountry": "US"
  },
  "geo": { "@type": "GeoCoordinates", "latitude": 39.114553, "longitude": -77.536868 },
  "openingHoursSpecification": [
    { "@type": "OpeningHoursSpecification", "dayOfWeek": "https://schema.org/Monday", "opens": "06:00:00", "closes": "22:00:00" }
  ],
  "amenityFeature": [
    { "@type": "LocationFeatureSpecification", "name": "Drive Thru", "value": true }
  ]
}

Why use E-commerce Location Scraper?

Feature	Manual or per-chain scripts	E-commerce Location Scraper
Coverage	One chain at a time	101 chains in one run
Format	A different shape per chain	One normalized schema.org shape
Detail	Address only	Hours, coordinates, and store attributes
Effort	Build and maintain each parser	Pick chains and run
Export	None	JSON, CSV, Excel

What can you do with location data?

• Site selection and expansion - map a competitor's footprint before opening in a market
• Territory and logistics planning - use coordinates and hours to plan delivery zones and routes
• POI and mapping databases - feed clean schema.org records into a places dataset
• Market and density analysis - measure how many units a chain runs per city or state

For ongoing monitoring, schedule the Actor weekly to keep a location database current.

How much does E-commerce Location Scraper cost?

E-commerce Location Scraper uses Apify's pay-per-event pricing: you are charged once per store location returned to the dataset. Apify gives you $5 in free usage credits every month on the free plan, so light runs cost nothing. See the Actor's Pricing tab for the current rate on each plan.

How do I run E-commerce Location Scraper via the Apify API?

curl -X POST "https://api.apify.com/v2/acts/e-commerce~e-commerce-location-scraper/runs?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "locationsUrls": ["Chick-fil-A"],
    "maxLocationsPerChain": 500
  }'

Or with the apify-client package for Node.js:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('e-commerce/e-commerce-location-scraper').call({
  locationsUrls: ['Chick-fil-A'],
  maxLocationsPerChain: 500,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

What can I integrate E-commerce Location Scraper with?

The Actor runs on the Apify platform, so its data flows into the tools your team already uses:

• Google Sheets and Excel - build a store-location database
• Make, Zapier, and n8n - trigger a workflow when locations change
• Google Maps and BI tools - plot coordinates and hours on a map
• LangChain and MCP - feed location data into AI agents and apps
• Apify API and webhooks - load records into your own data warehouse

Troubleshooting

• No results for a chain - Confirm the chain is on the supported list and spelled exactly as shown, and that maxLocationsPerChain is above 0.
• Empty hours or attributes - Some chains do not publish opening hours or store features, so those fields come back empty.
• Slow or blocked runs - Some chains rate-limit heavy traffic. Keep Apify Proxy enabled and open an issue on the Issues tab if a chain stops returning data.

FAQ

How many chains can I scrape in one run?

As many as you like. Select several chains and the Actor collects each one up to maxLocationsPerChain, applied per chain rather than as a shared total.

Is the output the same across chains?

Yes. Every chain is normalized to the same schema.org Restaurant shape, so addresses, coordinates, and hours are consistent regardless of source.

Does it include opening hours and coordinates?

Yes, when the chain publishes them. Hours come as per-day open and close intervals, and coordinates as latitude and longitude.

Can I run E-commerce Location Scraper with the Apify API?

Yes. Start and schedule runs over the Apify REST API and collect results with the apify-client packages for Node.js and Python.

Does it work with MCP and AI agents?

Yes. Expose the Actor through the Apify MCP server so your AI agents can pull store locations on demand.

Is it legal to scrape store locations?

Store locations are public business data, and collecting it is generally legal. This Actor reads only publicly published location information, not private personal data. Keep your use case lawful and read is web scraping legal? if you are unsure.

Related Actors

• 🛒 E-commerce Scraping Tool - get product data from Amazon, Walmart, eBay, and any other e-commerce site
• 🍔 Food Delivery Scraper - scrape restaurant menus, prices, and reviews from major delivery platforms

Your feedback

Found a bug or want a chain added? Open an issue on the Issues tab - we read every one.