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Just Eat Restaurant Menu Scraper

Under maintenance

Try for free

Extract detailed menu data from Just Eat restaurant pages including items, prices, variations, deals, and nutritional information.

Pricing

from $4.99 / 1,000 results

Rating

0.0

(0)

Developer

Coding Frontned

Actor stats

Bookmarked

Total users

Monthly active users

5 hours ago

Last modified

Features

Direct URL mode — scrape specific pages by providing target URLs
Location filtering — narrow results to specific cities, regions, or countries
Cloud-ready — runs on Apify with scheduling, proxy rotation, and webhook support

Use Cases

Restaurant discovery, menu research, and comparison
Recipe database building for cooking or nutrition apps
Menu and pricing competitive analysis
Food trend research and culinary content curation

Input

Field	Type	Default	Description
`mode`	string	`menuUrl`	Scraping mode: search by keyword or provide direct URLs. Options: `menuUrl`, `restaurantSlug`
`startUrls`	array	`—`	Just Eat restaurant menu URLs to scrape (e.g. https://www.just-eat.co.uk/restaurants/nandos-barnet/menu)
`restaurantSlugs`	array	`—`	Just Eat restaurant slugs from the URL (e.g. nandos-barnet). UK site used.
`country`	string	`uk`	Just Eat country domain. Options: `uk`, `ie`, `au`, `nz`, `ca`, `dk`, `no`, `be`
`maxItems`	integer	`20`	Maximum number of items to scrape
`proxyConfiguration`	object	Apify Residential	Proxy settings. Residential proxy is strongly recommended

Output

Each scraped item includes:

Field	Description
`restaurantId`	Restaurant id
`restaurantName`	Restaurant name
`restaurantUrl`	Restaurant url
`categoryId`	Category id
`categoryName`	Category name
`itemId`	Item id
`itemName`	Item name
`itemDescription`	Item description
`price`	Current price as displayed on the site
`currency`	Currency code (e.g. USD, EUR, GBP)
`priceFormatted`	Price formatted
`imageUrl`	Image url
`calories`	Calories
`kJ`	K j
`allergens`	Allergens
`variations`	Variations
`isPopular`	Is popular
`isDeal`	Is deal
`isVegetarian`	Is vegetarian
`isVegan`	Is vegan

Sample Output

{
  "restaurantId": "restaurantId_value",
  "restaurantName": "restaurantName_value",
  "restaurantUrl": "restaurantUrl_value",
  "categoryId": "categoryId_value",
  "categoryName": "categoryName_value",
  "itemId": "itemId_value",
  "itemName": "itemName_value",
  "itemDescription": "itemDescription_value"
}

Notes

Proxy: Residential proxy is highly recommended — set proxyConfiguration: { useApifyProxy: true, apifyProxyGroups: ["RESIDENTIAL"] }
Rate limits: Keep maxItems reasonable per run to avoid IP bans or rate throttling
Scheduling: Use Apify Scheduler to run this actor on a recurring basis for a consistently fresh dataset

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