Raising Cane's Store Locator Link Scraper

Extract every Raising Cane's restaurant location link in the US in a single click — no code, no browser, no manual copy-pasting. This Actor turns the official Raising Cane's store locator into a clean, downloadable dataset of restaurant page links, ready for JSON, CSV, or Excel export, or for feeding straight into another tool via the Apify API.

What is Raising Cane's Store Locator Link Scraper?

Raising Cane's Store Locator Link Scraper is an Apify Actor that collects the restaurant location page link for every US Raising Cane's location listed in the chain's official, publicly available store locator data. Each result is a direct, unique URL pointing to that restaurant's own location page — the building block you need before pulling addresses, phone numbers, hours, or geolocation for each store. It requires no input at all to run: just click Start and let it collect links, or optionally cap the number of results, skip a starting range, or exclude links you already have.

What can Raising Cane's Store Locator Link Scraper do?

• 🔗 Collect restaurant location links for Raising Cane's stores across the United States, deduplicated automatically.
• 🎛️ Cap results with a simple maximum-links input, or leave it uncapped to collect everything available.
• ⏭️ Resume and paginate across runs using a start index or an exclude list, so repeat runs don't re-download links you already have.
• 📤 Export to JSON, CSV, Excel, HTML, or XML directly from the Apify platform, no extra tooling required.
• ⏰ Schedule recurring runs on the Apify platform to keep a fresh, up-to-date list of restaurant links over time.
• 🔌 Access results via the Apify API to plug this data straight into your own app, spreadsheet, or pipeline.
• 🔗 Integrate with Zapier, Make, and other automation tools so new links trigger downstream workflows automatically.
• 🌐 Built-in proxy rotation on the Apify platform to keep runs reliable at scale.
• 📊 Monitor every run from the Apify Console, with logs and run history for troubleshooting.

What data does Raising Cane's Store Locator Link Scraper extract?

Each dataset item represents one Raising Cane's restaurant link, with metadata about when and how it was found:

Field	Description	Example
url	Direct link to the restaurant's location page	https://locations.raisingcanes.com/al/tuscaloosa/1241-mcfarland-blvd-e
coordinate	Label identifying which source/search point surfaced this link	static source
extraction_datetime	UTC timestamp (ISO 8601) when the link was extracted	2026-07-21T14:30:00.123456+00:00
extraction_date	Extraction date in mm-dd-yyyy format	07-21-2026

This link dataset pairs well with Raising Cane's Store Details Scraper, a companion Actor that visits each link and pulls full restaurant details (address, phone number, hours, and geolocation).

How do I use this Raising Cane's restaurant location scraper?

Getting a full list of Raising Cane's restaurant links takes just a few steps:

1. Open the Actor's Input tab in Apify Console.
2. Leave every field at its default to collect all available links, or set Max restaurant links to cap how many you collect.
3. Optionally set Start index or Exclude URLs if you're pulling links incrementally across multiple runs and want to avoid paying for links you already have.
4. Click Start and watch the run progress live in the Log tab.
5. Once finished, open the Output or Dataset tab and export your results as JSON, CSV, Excel, HTML, or XML — or pull them programmatically via the Apify API.

Input

The Actor needs no input to run — click Start and it collects links using sensible defaults. All fields are optional:

• Max restaurant links (maxResults) — the maximum number of unique restaurant links to collect this run. Leave at 0 to collect every available link with no limit.
• Start index (startIndex) — skip this many links from the beginning before saving any, useful for paginating across multiple runs without re-collecting links you already have.
• Exclude URLs (excludeUrls) — a list of restaurant link URLs you already have; any URL in this list is never saved again, regardless of collection order.

Free-plan runs are capped to a small number of links per run, with the start-index and exclude-list fields correspondingly limited — upgrade to a paid plan to remove these caps.

Output example

Every item pushed to the dataset looks like this:

{
    "url": "https://locations.raisingcanes.com/al/tuscaloosa/1241-mcfarland-blvd-e",
    "coordinate": "static source",
    "extraction_datetime": "2026-07-21T14:30:00.123456+00:00",
    "extraction_date": "07-21-2026"
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel, or fetch it directly through the Apify API for use in another application.

Use cases

• Building a Raising Cane's restaurant directory for a location-finder app or website.
• Feeding a downstream metadata scraper that needs a starting list of restaurant links before it can pull addresses, hours, and phone numbers.
• Market research and expansion tracking — monitor how many Raising Cane's locations exist and where new links appear over time by scheduling recurring runs.
• Data enrichment pipelines that join restaurant link data with other datasets (demographics, foot traffic, competitor locations).
• QA and monitoring for teams who need a lightweight, always-current list of live restaurant location URLs.

Raising Cane's-related Actors

Looking for more than just links? Pair this Actor with the companion Actor below, which visits each link and extracts full restaurant details — address, phone number, hours, and geolocation.

Actor	What it does
Raising Cane's Store Details Scraper	Takes Raising Cane's location URLs and extracts full store details: address, phone number, opening hours, and geolocation.

FAQ

Is it legal to scrape Raising Cane's restaurant location data?

This Actor only collects publicly available restaurant location links — the same information anyone can browse without logging in. Scraping publicly accessible data is generally permissible, but you're responsible for reviewing the target site's terms of service and applicable laws before using this data, especially for commercial purposes. This Actor does not collect any personal or private data.

Does this Actor require any input to start?

No. Every input field is optional. Click Start with the default input and the Actor will begin collecting restaurant links immediately.

Can I get only new links since my last run?

Yes. Use Start index to skip a known number of already-collected links, or Exclude URLs to list specific links you already have. Both help you avoid re-collecting (and re-paying for, under pay-per-result pricing) links you already own.

Can I access the results via API?

Yes. Every Apify Actor run — including this one — exposes its dataset through the Apify API, so you can integrate results into your own application, script, or automation tool such as Zapier or Make.

What happens if a run is interrupted?

The Actor checkpoints its progress as it runs. If a run is migrated or restarted mid-crawl, it resumes from where it left off instead of re-collecting links it already pushed.

Support

Found a bug or have a feature request? Open an issue in the Actor's Issues tab in Apify Console and the maintainer will follow up. Need a custom scraper or a tailored data pipeline built around this data? Reach out through the Actor's contact details on its Apify Store page.