Little Caesars Scraper

Overview

Scrapes Little Caesars menu items with prices, store locations with hours, and nutrition information.

Features

• Search by keywords to find specific results
• Export data in JSON, CSV, or Excel formats
• Captures pricing information
• Includes location and address data
• Control output volume with configurable result limits
• Built-in proxy support for reliable data collection

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
zipCode	string (required)	ZIP code for store lookup (e.g., '90210'). Used to find nearby stores and get...	90210
scrapeMenu	boolean	Scrape menu items including pizzas, sides, drinks, and nutrition info	true
scrapeStores	boolean	Scrape store locations, addresses, phone numbers, and hours	true
maxItems	integer	Maximum number of items to scrape (menu items + stores combined)	100
proxyConfiguration	object	Proxy settings for the scraper	{...}

Output Example

Each result contains structured data like this:

{
  "name": "Little Caesars Sample Item",
  "price": 29.99,
  "category": "Standard",
  "calories": "Sample calories",
  "description": "Detailed description of the item..."
}

Pricing

This actor uses pay-per-result pricing:

• $0.001 per result
• $1.00 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 Little Caesars 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~littlecaesars-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/littlecaesars-scraper").call(
    run_input={"maxItems": 10}
)

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

Integration

Connect Little Caesars 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