Wendy's Menu Scraper

Overview

Extract Wendy's menu items with location-specific prices and nutritional info. Search by ZIP code to get product names, prices, calories, and categories from nearby stores. Compare pricing across locations.

Features

• Search by keywords to find specific results
• Export data in JSON, CSV, or Excel formats
• Captures pricing information
• Includes location and address data
• 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
zipCodes	array (required)	List of US zip codes to scrape Wendy's menus from. Each zip code will find th...	["10001"]
categories	array	Select which menu categories to scrape. Leave empty to scrape all categories.	[]
proxyConfiguration	object	Proxy settings for avoiding blocks	{...}

Output Example

Each result contains structured data like this:

{
  "name": "Wendy's Menu Sample Item",
  "price": 29.99,
  "calories": "Sample calories",
  "category": "Standard",
  "categoryId": "ABC-12345",
  "store": "Sample store"
}

Pricing

This actor uses pay-per-result pricing:

• $0.003 per result
• $3.00 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 Wendy'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~wendys-menu-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/wendys-menu-scraper").call(
    run_input={"maxItems": 10}
)

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

Integration

Connect Wendy'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