Glovo Restaurant & Menu Scraper

What does Glovo Restaurant & Menu Scraper do?

This Actor extracts restaurants, stores, and full menus with prices from Glovo — the delivery platform serving 1,500+ cities across 20+ countries in Europe, Africa, and Western Asia. Paste any Glovo category, city, or store URL and get clean JSON: store ratings, delivery fees, ETAs, and promotions, or complete menus with item names, descriptions, prices, and images.

It reads Glovo's server-rendered pages directly — no browser, no clicking — so runs are fast and work identically for every Glovo country.

Why use this Actor?

• Any Glovo country — Bucharest, Madrid, Milan, Warsaw, Lisbon, Kyiv: the same input format works everywhere, prices come back in local currency.
• Full menus with prices — every item with name, description, numeric price, currency, image, and active promotions, each row carrying its store context.
• Store intelligence — ratings (with vote counts), cuisine tags, delivery fees, effective fees after promos, ETAs, top-rated/new/sponsored badges, open status.
• Competitor-friendly URLs — output rows link straight back to the public store pages.
• Built for pipelines — every row always has every field (null when Glovo doesn't provide it), numeric prices with separate currency, ISO 8601 timestamps.

Pairs with our Wolt Restaurant & Menu Scraper and Bolt Food Restaurant & Menu Scraper for cross-platform delivery price comparison.

How much does it cost?

You pay per row returned. A store-list run over a category page (up to 50 stores) costs about a cent. A menus run returns 50–250 items per restaurant — scraping 10 full menus typically yields 1,000–2,000 rows. Use maxStores and maxItemsTotal to bound any run.

Input

Field	Type	Description	Example
startUrls	array	Glovo category pages, city pages, or store pages.	https://glovoapp.com/en/ro/bucharest/categories/restaurants_1
mode	string	stores (one row per store, default) or menus (one row per menu item, fetching every store found).	"menus"
maxStores	integer	Cap on stores scraped (and menus fetched).	10
maxItemsTotal	integer	Hard ceiling on billed rows — the most reliable cost bound.	1000

Note: a Glovo listing page carries its top 50 ranked stores for that category — the ranking Glovo itself shows first. Use several category or cuisine-filter URLs to widen coverage.

Output

Menus mode — one row per menu item:

{
    "storeId": "27726",
    "storeName": "McDonald's",
    "storeSlug": "mcdonald-s",
    "storeUrl": "https://glovoapp.com/en/ro/bucharest/stores/mcdonald-s",
    "storeRatingPercent": 96,
    "storeOpen": true,
    "city": "bucharest",
    "countryCode": "RO",
    "productId": "000e7d6c-a1da-468d-8e4f-638ade5227cc",
    "externalId": "1855",
    "name": "Meniu Maxi Big Mac™",
    "description": "Pentru informatii privind Gramaje, Ingrediente, Alergeni si Nutritie, consulta https://www.mcdonalds.ro/alergeni",
    "price": 32.9,
    "currency": "RON",
    "priceText": "32,90 RON",
    "imageUrl": "https://d24h0jjm4wjxvq.cloudfront.net/TPO-1855.png",
    "promotions": [],
    "scrapedAt": "2026-08-27T14:30:00.000Z",
    "runId": "AbC123..."
}

Stores mode — one row per store:

{
    "storeId": "27726",
    "name": "McDonald's",
    "slug": "mcdonald-s",
    "url": "https://glovoapp.com/en/ro/bucharest/stores/mcdonald-s",
    "city": "bucharest",
    "countryCode": "RO",
    "ratingPercent": 96,
    "ratingVotes": "2k+",
    "cuisine": "Burgers",
    "eta": "30-40 min",
    "distance": "<100m",
    "deliveryFeeText": "4,99 RON",
    "effectiveDeliveryFeeText": "Free",
    "isFreeDelivery": true,
    "promotions": ["-40%"],
    "isOpen": true,
    "isTopRated": false,
    "isNew": false,
    "isSponsored": false,
    "imageUrl": "https://glovo.dhmedia.io/image/stores-glovo/stores/35d5...",
    "sourceUrl": "https://glovoapp.com/en/ro/bucharest/categories/restaurants_1",
    "scrapedAt": "2026-08-27T14:30:00.000Z",
    "runId": "AbC123..."
}

A run produces only one of the two shapes (per the mode), so exports are always uniform.

Tips and tricks

• Price monitoring: schedule a menus run on the same store URLs and diff by productId — runId and scrapedAt keep runs apart after export.
• Market overview: stores mode over a few category URLs gives a city's delivery landscape (ratings, fees, promos) in one cheap run.
• Cross-platform comparison: run this together with the Wolt and Bolt Food scrapers over the same city and join on store names.
• Cuisine pages work too: any Glovo listing URL is fine, including cuisine filter pages — whatever URL shows store cards.
• Cost control in menus mode: maxItemsTotal is a hard ceiling; maxStores bounds how many menus are opened.

Integrations

The dataset works with every Apify integration: export to JSON, CSV, Excel, push to Google Sheets, trigger webhooks on finish, or query via the Apify API from Python/Node — for example a weekly menu-price snapshot feeding a pricing dashboard.