🍳 Yandex Eda Scraper: Restaurant, Menu & Price Data Extractor

FAST AND RELIABLE RESTAURANT DATA. Extract complete menus, active pricing, rating scorecards, and precise delivery addresses from Russia's leading food delivery marketplace. For retail monitoring, pricing intelligence, and market research.
YANDEX MARKETPLACE SUITE   •  A specialized line of scrapers covering Yandex's largest e-commerce and local directories
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Extract restaurant listings, active pricing lists, menus, rating, and precise coordinates from Russia's leading food-delivery platform Yandex Eda. Get up-to-date competitive pricing data, item availability, and catalog structures from any restaurant across all covered cities. Powered by same-origin API fetches to ensure absolute data consistency and ultra-low run costs.

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🔍 What does Yandex Eda Scraper do?

Yandex Eda Scraper enables you to extract full restaurant menus, details, and active price tags from the eda.yandex.ru marketplace.

By extracting data directly through the platform's high-speed same-origin endpoint layers, this scraper runs at maximum speed while bypassing aggressive page-reputation gates. It extracts complete catalog datasets city-by-city or directly from individual store URLs without requiring user accounts or logins.

⚡ Extract menus at maximum speed with zero proxy overhead. Directly captures structured restaurant catalog metadata and full menu item arrays anonymously, ready for scheduling and automated pricing pipelines.

Key Features

• Complete Menu Datasets: Retrieves every item name, description, active price, weight, measure details, availability status, and product image.
• Restaurant Metadata: Extracts the restaurant name, unique ID, precise street address, rating metrics, rating count, cuisine tags, price level category, and minimum delivery criteria.
• Autonomous Sitemap Discovery: Translates the platform's official sitemaps to discover and crawl up to 60,000 restaurant URLs across 286+ distinct cities automatically.
• Price Comparison Ready: Outputs exactly one row per menu item, making it easy to feed into BI databases, Excel, Google Sheets, or price monitoring triggers.

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🛠️ How to use Yandex Eda Scraper

To begin extracting data from Yandex Eda, follow these simple steps:

1. Set your targets: Enter either the main sitemap index, specific sitemap shards, or direct restaurant links (e.g. https://eda.yandex.ru/spb/r/ripasso).
2. Apply filters: Specify a city filter (e.g. moscow, spb, ekaterinburg) to limit the extraction scope if crawling through sitemaps.
3. Adjust the limits: Set your maximum target restaurant count and item limits to match your budget.
4. Run and extract: Execute the scraper and download your structured datasets in JSON, CSV, Excel, or HTML format.

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📥 Input

Field	Type	Required	Description
startUrls	array of URLs	No	List of places-sitemap.xml URLs, individual place shards, or direct restaurant detail pages. If left empty, defaults to parsing the entire active sitemap.
maxItems	integer	No	Maximum number of restaurants to scrape. Useful for capping your runs during broad city catalog sweeps. Defaults to 20.
cityFilter	string	No	Optional filter to target only restaurants in a specific city. Matches the city path segment in sitemap links (such as moscow or spb). Case insensitive.
maxItemsPerRestaurant	integer	No	Maximum number of menu items to extract from a single restaurant to prevent menu listings from inflating your run size. Defaults to 100.
proxyConfiguration	object	No	Proxy settings. Standard datacenter proxy rotation is highly recommended for scaling your runs.

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📤 Output

The scraper outputs structured data with one row per menu item. This flat layout allows for instant imports into database schemas, price analysis models, or visual spreadsheet tools.

Sample output item

{
  "restaurantId": 2037044,
  "restaurantName": "Dana",
  "restaurantSlug": "dana_n8qdj",
  "restaurantRating": 4,
  "restaurantRatingCount": "6",
  "city": "Екатеринбург",
  "address": "Опалихинская улица, 15",
  "latitude": 56.848655,
  "longitude": 60.564443,
  "cuisineTags": [
    "Shawarma",
    "Shish kebab"
  ],
  "priceCategory": "₽",
  "minimalOrderPrice": 0,
  "minimalDeliveryCost": 0,
  "currency": "₽",
  "categoryId": 72775374,
  "categoryName": "Овощи на мангале",
  "itemId": 1557234259,
  "itemName": "Грибы на мангале",
  "itemDescription": "Грибы шампиньоны, подсолнечное масло, специи",
  "itemPrice": 230,
  "itemDecimalPrice": "230",
  "itemOldPrice": null,
  "itemWeight": "100 g",
  "itemMeasureValue": "100",
  "itemMeasureUnit": "g",
  "itemImage": "https://avatars.mds.yandex.net/get-eda/images/3439028/6a7c739a86ac4baf8a08947bef889aee-500x500.jpeg",
  "scrapedAt": "2026-07-10T08:15:00.000Z"
}

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📊 Data table

Field	Type	Description
restaurantId	integer	Unique internal identifier of the restaurant.
restaurantName	string	Name of the restaurant.
restaurantSlug	string	URL-friendly slug of the restaurant.
restaurantRating	number	Average customer rating score on a 1 - 5 scale.
restaurantRatingCount	string	Number of submitted customer ratings.
city	string	City name where the restaurant is located.
address	string	Street address of the restaurant location.
latitude	number	Precise geographic latitude coordinate.
longitude	number	Precise geographic longitude coordinate.
cuisineTags	array	List of cuisines and food tags associated with the place.
priceCategory	string	Price bracket rating (e.g. ₽, ₽₽, ₽₽₽).
minimalOrderPrice	number	Minimum order amount to qualify for delivery.
minimalDeliveryCost	number	Starting cost for courier delivery.
currency	string	Currency symbol (e.g., ₽).
categoryId	integer	Unique identifier of the menu section.
categoryName	string	Name of the menu category (such as Desserts or Main Dishes).
itemId	integer	Unique internal identifier of the menu item.
itemName	string	Title of the menu item.
itemDescription	string	List of ingredients, description, or recipe details.
itemPrice	number	Active price of the item.
itemDecimalPrice	string	Exact price representation as a string.
itemOldPrice	number	Original retail price before active discount promotions are applied.
itemWeight	string	Unstructured weight or volume text (e.g., 100 g).
itemMeasureValue	string	Numeric weight or volume value.
itemMeasureUnit	string	Weight or volume unit (e.g., g or ml).
itemImage	string	High-resolution direct product image URL.
scrapedAt	string	ISO timestamp of the extraction moment.

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💰 Pricing & Cost

Pricing is pay-per-result and is billed per row successfully saved to your dataset. Empty runs cost absolutely nothing, there are no fixed monthly subscriptions, and no hidden maintenance fees.

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❓ FAQ

Does it get blocked?

No. Because the scraper fetches data directly through the platform's high-speed same-origin API routes rather than loading heavy browser sessions, it bypasses the aggressive page-reputation gates. For high-volume operations, standard proxy rotation is recommended as an extra safety measure.

Does it extract private contact details?

No. This scraper only extracts publicly available public storefront catalog information: restaurant profiles, menu categories, active prices, and business addresses. It does not access or extract any personal customer information or private phone numbers.

How fresh is the data?

All menu details, availability parameters, active promotions, and price tags are retrieved in real-time directly from Yandex Eda's database servers. The data returned matches exactly what a user would see on the active website at the moment of execution.

Are all cities and categories supported?

Yes. By using the platform's official sitemaps, the scraper discovers and traverses restaurant links across all 286+ active cities. It fully extracts all types of food-delivery partners, including local restaurants, major fast-food chains, bakeries, and grocery providers.

🔗 Other actors

• Yandex Lavka Scraper ↗ - pulls grocery prices and stock from Yandex's quick-commerce service.
• Yandex Market Scraper ↗ - searches Yandex Market by keyword for pricing and seller data.
• Yandex Realty Scraper ↗ - extracts real estate listings across Russian cities.
• Detmir Scraper ↗ - collects product and pricing data from the Detsky Mir marketplace.
• Magnit Market Scraper ↗ - extracts product data from the Magnit/KazanExpress marketplace.