Pricing

from $1.14 / 1,000 locations

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E-commerce Location Scraper

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Collect every store unit (location) for a restaurant chain from its store-locator URL.

Pricing

from $1.14 / 1,000 locations

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E Commerce

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E-commerce Location Scraping

Collect every store location for a restaurant chain. Pick one or more supported chains and the scraper returns each chain's store units — name, full address, coordinates, phone, opening hours, and store attributes — as clean schema.org Restaurant records.

What it does

Each selected chain maps to a dedicated location source that enumerates all of that chain's store units and returns them page by page, up to your per-chain limit. Every source has its own native data format; this Actor normalizes them all into a single schema.org shape, so opening hours, addresses, and coordinates look the same regardless of which chains you select. You are charged per location returned.

Supported chains

Coverage is United States unless noted.

Chain	Coverage	Chain	Coverage
Subway	US	Baskin Robbins	US
Taco Bell	US	Jack in the Box	US
Domino's	US	Panera Bread	US
Little Caesars	US	Tropical Smoothie Cafe	US
Pizza Hut	US	Waffle House	US
Burger King	US	IHOP	US
Wendy's	US	Applebee's	US
Starbucks	US, Canada	Five Guys	US
Popeyes	US, Canada	Hardee's	US
McDonald's	US	Auntie Anne's	US
Dunkin'	US	Smoothie King	US
Chipotle	US	Buffalo Wild Wings	US
KFC	US	Denny's	US
Dairy Queen	US	Marco's Pizza	US
Chick-fil-A	US	Firehouse Subs	US
Papa Johns	US	Chili's	US
Jersey Mike's	US	Whataburger	US
Jimmy John's	US	Dutch Bros Coffee	US
Wingstop	US	Culver's	US
Panda Express	US	Zaxby's	US
Papa Murphy's	US	Cold Stone Creamery	US
Tim Hortons	US

Input

Field	Type	Description
`locationsUrls`	array (required)	The chains to collect locations for, chosen from the supported list. Defaults to Subway. Starbucks and Popeyes offer separate US and Canada options.
`maxLocationsPerChain`	integer	Maximum locations to collect per chain. Applied independently to each chain, not as a shared run total. Default 1000.

Output

Each dataset item is one store location, structured 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",
  "identifier": 10086,
  "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 }
  ]
}

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 / store identifier
`identifier`	—	Internal chain identifier
`address`	PostalAddress	`streetAddress`, `addressLocality` (city), `addressRegion` (state), `postalCode` (ZIP), `addressCountry` (`US`/`CA`)
`geo`	GeoCoordinates	`latitude`, `longitude`
`openingHoursSpecification`	OpeningHoursSpecification[]	One entry per open interval. `dayOfWeek`, `opens`/`closes` as 24-hour `HH:MM:SS`. A day with no entry is closed; overnight hours are represented by `closes` earlier than `opens`. Empty when a chain does not publish hours.
`amenityFeature`	LocationFeatureSpecification[]	Store attributes the chain advertises (e.g. Drive Thru, Breakfast, Delivery)

Any field the source does not provide is null (or an empty array for openingHoursSpecification / amenityFeature).

Pricing

This Actor uses pay-per-event pricing. You are charged once per store location returned to the dataset (event location-scraped).

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