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Yandex Eats Data Scraper

yandex-eats-data-scraper
Food & Restaurant

Yandex Eats Data Scraper allows businesses to collect restaurant and food delivery intelligence from the Yandex Eats platform. Automatically extract restaurant profiles, menu pricing, cuisine categories, customer ratings, and delivery coverage across Russia and CIS countries. This supports market research and restaurant analytics with reliable structured data.

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yandex-eats-data-scraper

What is Yandex Eats Data Extraction?

Yandex Eats is a leading food delivery platform operating across Russia and several CIS countries, connecting millions of hungry customers with thousands of local restaurants, cafes, and cloud kitchens. As part of the broader Yandex ecosystem and one of Europe's largest tech companies, Yandex Eats offers an extensive range of cuisines, real-time order tracking, and seamless payment integration, making it one of the most dominant food delivery services in the region.

Our Yandex Eats data scraper is a scalable restaurant data extraction tool that gathers structured food delivery insights from Eda.Yandex.ru and Eats.Yandex.com. It enables businesses to collect restaurant profiles, menu catalogs, pricing intelligence, customer ratings, delivery timelines, and promotional offers accurately. The scraper supports large-scale restaurant intelligence and market analysis.

What Data Can You Extract from Yandex Eats?

Yandex Eats data scraper is designed to extract the following data:

restaurant_listings menu_pricing restaurant_location delivery_info reviews_ratings promotions_offers contact_data

Key Features of Yandex Eats Data Scraper

Yandex Eats data scraper developed by us is not just a tool; it is a proactive approach that is leveraged by hospitality professionals and food businesses to make informed decisions. It helps them develop robust strategies and improve overall business outcomes.

  • Real-Time Food Data Collection
  • Automated Restaurant & Food Listings Extraction
  • Structured Data Output for Easy Use
  • Location-Based Food Delivery Data Extraction
  • Scalable Crawling for Large Food Platforms
  • Custom Data Field Selection Based on Requirement
  • Multi-Platform Data Support Across Food Apps

How Does Yandex Eats Data Scraper Work?

Our Yandex Eats data scraper is designed for simplicity and automation. With just a few inputs, you can extract large-scale data efficiently:

Step

Initiate Advance Search

Provide restaurant names, dish keywords, or target URLs to scrape food data from Yandex Eats. The crawler will extract details like restaurant id, name, address, city, state, postal code, country code, aggregate ratings, cost, cuisines, email id, menu and opening hours.

Step

Download Structured Data

Export scraped Yandex Eats restaurant and food delivery data in structured formats like CSV, Excel, or JSON for analysis and reporting.

Step

Schedule Automated Crawlers

Schedule the Yandex Eats Scraper to run hourly for real-time menu/pricing updates, daily for review trends, or weekly for competitor benchmarking.

Benefits of Using the Yandex Eats Data Scraper

Our Yandex Eats data scraper is useful to:

  • Get real-time food & dining trend awareness
  • Seamlessly improve menu quality and offerings
  • Perform customer review and feedback analysis
  • Expand restaurant visibility & reach
  • Track reservation and occupancy levels

Use Cases of Yandex Eats Data Scraper

Yandex Eats restaurant data scraper helps data teams to automate large-scale restaurant and dining data collection for applications, analytics, and market intelligence.

  • Forecast Restaurant Trends: Evaluate local dining trends, including cuisine trends, and customer preferences.
  • Food Delivery Platform Expansion: Identify restaurants to onboard for delivery or aggregation platforms.
  • Competitive Pricing Analysis: Compare menu pricing and offers across different restaurants.
  • Location Intelligence & Expansion: Discover areas with high demand to open any restaurant or branch.
  • Lead Generation for B2B Sales: Build customized restaurant contact lists for long-term business success.
  • AI & Data Analytics Projects: Feed structured restaurant data into machine learning and analytics systems.

We ensure that you receive actionable insights within defined time frames so that you can use them for your business.

Looking for a Custom Yandex Eats Data Scraping Solution?

Get in Touch

Get a Free Sample of Yandex Eats Scraped Data

The extracted Yandex Eats data can be easily downloaded or integrated into your systems. Supported formats include CSV, Excel, XML, MySQL, MS Access, and other database formats, making it convenient for analysis and reporting.

.CSV
JSON
Download Sample Data
#
Name
Type
Rating
Review
Address
Contact Info
Delivery Time
Delivery Cost
Opening Hrs.
1
Amsterdam Burger House
Burgers, American, Fast Food
4.4
1,842
Ferdinand Bolstraat 112, 1072 LT Amsterdam, Netherlands
+31 20 445 7812, contact@aburgerhouse.nl
25 min
$1.99
Mon–Sun 11:00–23:00
2
La Piazza Milano
Italian, Pizza, Pasta
4.2
2,316
Via Torino 48, 20123 Milan, Italy
+39 02 7745 2190, info@lapiazzamilano.it
35 min
$0.00 – $3.99
Mon–Sun 12:00–22:30
3
Nordic Wok Express
Asian, Thai, Noodles
4.6
964
Nørrebrogade 87, 2200 Copenhagen, Denmark
+45 33 287 910, hello@nordicwok.dk
30 min
$2.49
Mon–Fri 10:30–22:00; Sat–Sun 12:00–23:00
 
[
    {
        "#": "1",
        "Name": "Amsterdam Burger House",
        "Type": "Burgers, American, Fast Food",
        "Rating": "4.4",
        "Review Count": "1,842",
        "Address": "Ferdinand Bolstraat 112, 1072 LT Amsterdam, Netherlands",
        "Contact Info": "+31 20 445 7812, contact@aburgerhouse.nl",
        "Delivery Time": "25 min",
        "Delivery Cost": "$1.99",
        "Opening Hrs.": "Mon–Sun 11:00–23:00"
    },
    {
        "#": "2",
        "Name": "La Piazza Milano",
        "Type": "Italian, Pizza, Pasta",
        "Rating": "4.2",
        "Review Count": "2,316",
        "Address": "Via Torino 48, 20123 Milan, Italy",
        "Contact Info": "+39 02 7745 2190, info@lapiazzamilano.it",
        "Delivery Time": "35 min",
        "Delivery Cost": "$0.00 – $3.99",
        "Opening Hrs.": "Mon–Sun 12:00–22:30"
    },
    {
        "#": "3",
        "Name": "Nordic Wok Express",
        "Type": "Asian, Thai, Noodles",
        "Rating": "4.6",
        "Review Count": "964",
        "Address": "Nørrebrogade 87, 2200 Copenhagen, Denmark",
        "Contact Info": "+45 33 287 910, hello@nordicwok.dk",
        "Delivery Time": "30 min",
        "Delivery Cost": "$2.49",
        "Opening Hrs.": "Mon–Fri 10:30–22:00; Sat–Sun 12:00–23:00"
    }
]
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