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Arby's Menu Scraper

Overview

Scrapes Arby's menu items with prices, nutrition, and descriptions.

Features

• Search by keywords to find specific results
• Export data in JSON, CSV, or Excel formats
• Captures pricing information
• Control output volume with configurable result limits

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

Output Example

Each result contains structured data like this:

{
"name":"Arby's Menu Sample Item",
"description":"Detailed description of the item...",
"price":29.99,
"calories":"Sample calories",
"category":"Standard",
"url":"https://example.com/item/12345"
}

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 Arby's Menu 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~arbys-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/arbys-scraper").call(
 run_input={"maxItems":10}
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)

Integration

Connect Arby's Menu 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