Subway Store Locator Scraper

Extract every Subway restaurant location URL in the United States from the official Subway store locator — no coordinates, no API key, no code required.

What is Subway Store Locator Scraper?

Subway Store Locator Scraper is a fast, zero-configuration web scraper that collects the page link of every Subway restaurant in the US by crawling the public Subway restaurant directory. It walks the directory's state → city → restaurant hierarchy and returns each location's URL as clean, deduplicated JSON data you can export to CSV, Excel, or JSON.

This Actor is the discovery layer of a two-step Subway data pipeline: it builds the complete list of restaurant pages, which you then feed into a metadata scraper to extract full details for each store. Run it with a single click — the only optional input is a result limit.

What can Subway Store Locator Scraper do?

• 🗺️ Scrape the full US Subway store locator — every state, every city, every restaurant page URL.
• ⚡ Runs without any input — click Start and it crawls the entire public directory.
• 🔢 Limit your results — cap the run with a single Max restaurant links field for fast, cheap test runs.
• 🧹 Automatic deduplication — each restaurant URL appears exactly once in the dataset.
• 📤 Export Subway data as JSON, CSV, Excel, HTML, or XML straight from the Output tab.
• 🔌 Full REST API access — start runs and pull results programmatically from Python, JavaScript, or any HTTP client via the Apify API.
• ⏰ Schedule recurring runs to keep your Subway location list fresh as stores open and close.
• 📊 Monitoring and alerts built into the Apify platform, so you know immediately if a run fails.
• 🔗 Integrations with Zapier, Make, Google Sheets, Slack, and webhooks — push new restaurant links straight into your own stack.
• 🌐 Proxy rotation support through Apify Proxy for reliable, uninterrupted crawling.

What data does Subway Store Locator Scraper extract?

Each dataset item represents one Subway restaurant page discovered in the store locator:

Field	Type	Description
url	string	Full URL of the Subway restaurant page on restaurants.subway.com, including state, city, and street slug
coordinate	string	How the link was discovered. This Actor crawls the static directory, so the value is static source

The url field encodes useful location data on its own — state code, city, and street address all appear in the slug, so you can parse a rough location breakdown without any extra requests.

How do I scrape Subway restaurant locations?

1. Open the Actor and go to the Input tab.
2. (Optional) Set Max restaurant links to a small number such as 100 for a quick first run, or leave it at 0 to scrape the entire US Subway directory.
3. Click Start and watch the log as the scraper walks the state and city directory pages.
4. When the run finishes, open the Output tab and download your Subway restaurant data as JSON, CSV, or Excel — or fetch it through the Apify API.
5. (Optional) Feed the collected URLs into the Subway Restaurant Metadata Actor to extract addresses, phone numbers, geolocation, and opening hours for each store.

Input

The Actor is designed to run with no configuration at all. There is a single optional input:

• Max restaurant links (maxResults) — the maximum number of unique restaurant URLs to collect. Set it to 0 for unlimited, which crawls the whole directory and returns roughly 20,000 US locations. A small value keeps test runs quick. Accounts on the Apify free plan are capped at 10 links per run.

Example input:

{
  "maxResults": 100
}

Output example

Every item in the dataset is one Subway restaurant link:

{
  "url": "https://restaurants.subway.com/united-states/al/abbeville/644-ozark-road",
  "coordinate": "static source"
}

A run returns a list of these records, which you can download in JSON, CSV, Excel, HTML, or XML format from the Output tab, or retrieve through the dataset API endpoint.

Use cases

• 🍽️ Restaurant location intelligence — build a complete map of Subway's US footprint for market and territory analysis.
• 📈 Competitive analysis — compare Subway's store density against other QSR chains by state or city.
• 🏢 Site selection and real estate research — identify underserved cities or saturated markets before opening a new location.
• 🔄 Data pipelines — use these URLs as the input list for a metadata scraper that extracts addresses, hours, and phone numbers.
• 📰 Store opening and closing tracking — schedule recurring runs and diff the results to detect new or removed restaurants.
• 🎓 Academic and journalistic research on fast-food distribution, food access, and franchise growth.
• 🤖 Enriching internal datasets — join Subway locations with your own delivery, logistics, or CRM data.

Subway and restaurant-related Actors

Actor	What it does
Subway Restaurant Metadata	Takes the URLs from this Actor and extracts full restaurant details — address, phone, geolocation, and opening hours

FAQ

Is it legal to scrape Subway restaurant data?

This Actor collects only publicly available information from the same public directory pages that Subway serves to any visitor. It does not collect personal data and does not access anything behind a login. That said, laws and Terms of Service vary by jurisdiction and use case — if you plan to use the data commercially, review Subway's Terms of Service and consult legal counsel. For general guidance, see Apify's ethical web scraping resources.

How many Subway locations will this scraper return?

With Max restaurant links set to 0, the Actor crawls the entire US directory, which currently contains roughly 20,000 restaurant pages. Set a lower limit if you only need a sample.

Can I get Subway restaurant addresses and opening hours?

Not from this Actor — it returns restaurant page URLs only. Pair it with the Subway Restaurant Metadata Actor, which takes these URLs and extracts the address, phone number, geolocation, and hours for each store.

Can I use this Subway scraper through an API?

Yes. Every Apify Actor exposes a REST API, so you can start runs and download results from Python, JavaScript, or any HTTP client. Official API clients are available for both languages, and you can also trigger runs on a schedule or through Zapier, Make, and webhook integrations.

Why did my run return no links?

The most common cause is anti-bot blocking on the target site. Blocked requests are logged as warnings, and the run fails only if no links at all were collected. If this happens, retry the run, or enable Apify Proxy with residential proxies for more reliable access.

Can I scrape Subway locations outside the United States?

Not currently. This Actor targets the US store directory at restaurants.subway.com/united-states. If you need another country, open an issue and it can be considered for a future version.

Support

Found a bug, or is a field missing from the output? Open a ticket on the Issues tab of this Actor — issues are monitored and addressed as quickly as possible.

Need a custom scraping solution, a different output format, or coverage for another restaurant chain? Get in touch through the Issues tab and describe what you need.