Yandex Maps Scraper

Yandex Maps Scraper: businesses from Yandex Maps with phones, hours and coordinates

Type a search and a city, the way you would into Yandex Maps, and get one row per business: name, category, full address, coordinates, rating, review count, phone, website, social links and opening hours. Paste organisation or search URLs instead if you already have them.

The directory behind Yandex Maps is strongest where Yandex is strongest: Russia, Kazakhstan, Belarus, Turkey and the rest of the CIS. It is a Russian product, so Russian-language search terms return more places than English ones, and some fields come back in Russian whatever response language you pick.

🗺️ What Yandex Maps Scraper does

Two ways in, and they work together in one run.

Search. A term and a city, like кафе in Moscow, and it pages through the results until it reaches your limit or the list stops producing new places. Give it coordinates instead and it searches around that point rather than a whole city, and add radiusKm to keep only the places that close to it. Set a minimum rating and Yandex leaves out every place under it before anything reaches your dataset.

URLs. Paste a Yandex Maps search page or a single organisation page and it reads that.

The same business found by two of your searches is written once and counted once. Duplicates are removed before your maxItems cap is applied, so you get the number you asked for.

📥 What you give it

{
  "searchQueries": ["кафе", "стоматология"],
  "city": "Moscow",
  "maxItems": 50,
  "language": "ru_RU"
}

Run it with everything empty and you get one labelled sample row.

📤 What you get back

A real place row from a recent run, with the raw hours array trimmed:

{
  "placeId": "19464848293",
  "name": "Рыба моя",
  "categoryPrimary": "Ресторан",
  "categories": ["Ресторан", "кафе", "бар"],
  "address": "Москва, Славянская площадь, 2",
  "addressDetail": "Рыба моя, этаж -1",
  "country": "Россия",
  "city": "Москва",
  "street": "Славянская площадь",
  "postalCode": "109012",
  "latitude": 55.753391,
  "longitude": 37.633956,
  "phone": "+74957846858",
  "phones": ["+74957846858"],
  "website": "https://rybamoya.ru/",
  "socialProfiles": [{"type": "telegram", "url": "https://t.me/perelmanrestaurants"}],
  "rating": 4.9,
  "ratingCount": 6097,
  "reviewCount": 2726,
  "openingHoursText": "Mon: 12:00-00:00; Tue: 12:00-00:00; Wed: 12:00-00:00; ...",
  "openingHoursRaw": "ежедневно, 12:00 PM–12:00 AM",
  "isOpenNow": false,
  "priceRange": {"text": "от 3000 ₽", "lower": 3000, "upper": 3500, "currency": "₽"},
  "nearestMetro": {"name": "Китай-город", "distanceMeters": 36},
  "verifiedOwner": true,
  "status": "open",
  "url": "https://yandex.com/maps/org/ryba_moya/19464848293/",
  "searchQuery": "кафе",
  "position": 1,
  "scrapedAt": "2026-09-21T01:46:00.148Z"
}

🧾 Reading the output

Three kinds of row can land in your dataset.

Diagnostic rows are never charged.

▶️ How to run it

1. Open Yandex Maps Scraper and click Try for free. 2. Put your searches into Search terms. Russian terms find more than English ones, even in Turkey and Kazakhstan. 3. Type the City, spelled however you like. 4. Set Maximum places low for the first run, then click Start. 5. Download the dataset as JSON, CSV or Excel, or read it from the Apify API.

💰 How much does it cost?

$0.40 per 1,000 places. Flat on every Apify plan, no volume tiers.

One row is one place. A business that turns up under two of your searches is charged once. The sample row, every diagnostic row, a search that finds nothing, places under your minimum rating and places outside your radius are not charged.

💡 What people use it for

• Building a local lead list with phone numbers and websites already on the row.
• Mapping how many branches a chain has in a city, with coordinates ready to plot.
• Checking rating and review counts across a category before choosing a location.
• Finding which listings have no claimed owner, through verifiedOwner.
• Joining Yandex data to your own records on placeId, on a schedule.

🚧 What it does not do

• No review text and no photos. This returns the listing, not the reviews. There is a separate

actor for those.

• No email addresses. Yandex does not publish them on a listing.
• Zoom does not tighten a point search. Yandex searches around the point at any zoom level.

radiusKm is what sets an edge.

• Filters set inside a pasted Yandex link are not carried over. Use minRating for the rating.
• Some fields stay in Russian whatever language you pick. Category names especially.
• Result totals are Yandex's estimate, not a count you can trust.
• Paging stops when the results do. Yandex keeps serving pages past the end of a list, so the

run stops after two pages with nothing new rather than collecting repeats.

• A search Yandex will not answer ends that job with an uncharged row. Re-running is worth one

try.

• Phone and website are only there when the listing has them, which for small businesses is

often not the case.

• Rows are a snapshot. Hours change, places close, ratings move.

🧭 Which maps scraper do you need?

❓ Questions people ask

Do I need a Yandex account or an API key? No. Nothing to apply for and no quota.

Should I search in Russian or English? Russian, wherever you can. Yandex indexes Russian names most completely, and that holds in Almaty and Istanbul too.

Can I search a neighbourhood instead of a city? Yes. Put in latitude and longitude, and radiusKm for how far out to go. Without a radius there is no edge: around the Kremlin, 14 of the first 24 cafes were within 1 km and the farthest was 2.5 km out. With radiusKm at 1, every row is inside 1 km.

Will I get the same place twice? Not within a run. Places are deduplicated on placeId before your limit is applied.

Can I run it on a schedule? Yes. placeId is stable, so diffing hours, ratings or closures between runs is a join.

Is scraping Yandex Maps legal? These are public business listings. Apify's write-up on scraping and the law is a good starting point, and we are not lawyers.

🆘 If something breaks

Open the Issues tab on the actor page. Send the search term, the city and the run ID. The errorCode on the diagnostic row usually names the problem on its own.