Subway Restaurant Scraper

Overview

Find Subway restaurant locations and menu items. Search by location to get store addresses, phone numbers, hours, and features (drive-thru, delivery, catering). Also scrape menu items with prices, calories, and nutritional info.

Features

• Search by keywords to find specific results
• Filter results by category or type
• Export data in JSON, CSV, or Excel formats
• Captures pricing information
• Extracts contact information
• Includes location and address data

Use Cases

• Monitor - Monitor competitor menu prices and offerings
• Aggregate - Aggregate restaurant data for food delivery platforms
• Track - Track menu changes and seasonal offerings across chains
• Build - Build restaurant databases for market research and analytics

Input Parameters

Parameter	Type	Description	Default
mode	string	What to scrape	stores
location	string	City, ZIP code, or address for store search	New York, NY
radius	integer	Search radius for stores	10
menuCategory	string	Menu category to scrape
limit	integer	Maximum number of items to return	50
proxyConfiguration	object	Proxy settings	{...}

Output Example

Each result contains structured data like this:

{
  "type": "Standard",
  "storeId": "ABC-12345",
  "name": "Subway Restaurant Sample Item",
  "address": "123 Main St",
  "coordinates": "Sample coordinates",
  "phone": "(555) 123-4567",
  "hours": "Mon-Fri: 9AM-5PM",
  "features": [
    "Feature 1",
    "Feature 2",
    "Feature 3"
  ],
  "distance": "Sample distance",
  "scrapedAt": "2025-01-15"
}

Pricing

This actor uses pay-per-result pricing:

• $0.002 per result
• $2.00 per 1,000 results

No monthly fees. You only pay for what you scrape. Apify Free plan includes $5/month in platform credits.

How to Run

Apify Console

1. Go to the Subway Restaurant Scraper actor page
2. Configure your input parameters
3. Click Start and wait for the results
4. Download data in JSON, CSV, or Excel format

API

curl -X POST "https://api.apify.com/v2/acts/fortuitous_pirate~subway-scraper/runs?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"maxItems": 10}'

Python SDK

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("fortuitous_pirate/subway-scraper").call(
    run_input={"maxItems": 10}
)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Integration

Connect Subway Restaurant Scraper with your existing tools and workflows:

• API access - Programmatic access via Apify API
• Webhooks - Get notified when scraping completes
• Scheduling - Set up recurring runs on any schedule
• Zapier / Make - Connect with 5,000+ apps via Apify integrations
• Python / Node.js SDKs - Native client libraries for easy integration