Pizza Hut Store Locator — US Locations & Details avatar

Pizza Hut Store Locator — US Locations & Details

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from $10.00 / 1,000 scraped items

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Pizza Hut Store Locator — US Locations & Details

Pizza Hut Store Locator — US Locations & Details

Scrape Pizza Hut store locations from locations.pizzahut.com — address, coordinates, phone, hours, carryout/delivery/dine-in flags. Walk state and city pages or paste direct store URLs. JSON or CSV out.

Pricing

from $10.00 / 1,000 scraped items

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0.0

(0)

Developer

Muhamed Didovic

Muhamed Didovic

Maintained by Community

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0

Bookmarked

2

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1

Monthly active users

2 days ago

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Pizza Hut Store Locator

Pizza Hut Store Locator — US Locations & Details

Extract every Pizza Hut store location in the US from locations.pizzahut.com. Give the actor a state or city URL and it walks the directory, returning one clean row per store: name, brand type, full address, coordinates, phone, hours, and carryout/delivery/dine-in flags.

How the Pizza Hut Store Locator works

Why use this Pizza Hut Store Locator

  • Walks the full directory — state → city → store, no manual URL list needed.
  • Full store details — address, coordinates, phone, timezone, hours.
  • Service flags — carryout, delivery, dine-in per store.
  • Brand type — Pizza Hut vs Pizza Hut Express.
  • No browser automation — parses the Yext pageProps JSON directly.
  • Accessible from datacenter IPs — the locations subdomain isn't behind Cloudflare.

Overview

Pizza Hut's store locator lives at locations.pizzahut.com, a Yext-powered Next.js site with a 3-level hierarchy: state → city → store. Listing pages have links in the HTML; store pages embed a pageProps JSON block with the full store record. This actor walks the directory and parses the JSON — no headless browser needed.

Supported inputs

You provideExample
A state pagehttps://locations.pizzahut.com/ca
A city pagehttps://locations.pizzahut.com/ca/anaheim
A direct store URLhttps://locations.pizzahut.com/ca/anaheim/116-s-state-college-blvd

Use cases

  • Build a complete US Pizza Hut locations dataset.
  • Geocode stores for mapping or proximity search.
  • Track which stores offer delivery, carryout, or dine-in.
  • Feed a restaurant locator or aggregator product.
  • Monitor store openings and closures over time.

How it works

  1. You supply state, city, or store URLs.
  2. The actor classifies each URL and walks the directory (BFS: state → city → store).
  3. For each store page, it extracts the pageProps JSON block.
  4. The JSON is normalized into a clean store record.
  5. Results are written to the dataset as one row per store.

Input configuration

FieldTypeDefaultDescription
startUrlsarray—Pizza Hut locations URLs (state, city, or store).
maxItemsinteger1000Maximum stores to scrape.
maxConcurrencyinteger10Parallel store page fetches.
proxyobjectresidentialOptional proxy override.

Output overview

Each dataset item is a normalized store:

FieldDescription
storeIdYext business ID.
storeUrlCanonical store page URL.
nameStore name (e.g. "Pizza Hut Express").
brandTypeBrand type (PIZZA_HUT, PIZZA_HUT_EXPRESS).
addressLine1Street address.
city / state / stateName / postalCodeAddress components.
latitude / longitudeStore coordinates.
phoneStore phone number.
timezoneStore timezone.
offersCarryout / offersDelivery / offersDineInService flags.
carryoutHours / deliveryHours / dineInHoursHours by day.
googleMapsUrlGoogle Maps link.
imageStore image URL.

Notes

  • The locations.pizzahut.com subdomain is accessible from datacenter IPs — no residential proxy required.
  • The main www.pizzahut.com site is behind Cloudflare, but the locator subdomain is not.
  • Store hours are returned as a nested object keyed by day of week.