Yandex Maps Reviews Scraper - Stars, Text & Owner Replies

Yandex Maps reviews scraper for organisation links, one row per review: star rating, the full text, who wrote it and their Yandex level, the date, likes, photos, and the owner's reply where there is one. The place itself rides on every row too, so name, address, categories, city, overall rating, review count and the phone numbers and website the business published are included.

The ceiling first. Yandex Maps lists up to 600 reviews of a place in each of its four orders: its default, newest first, highest rated first and lowest rated first. You pick one. Ask for more than 600 and the run reads all four, keeping only reviews it has not seen yet: more of a big place, not all of it. A Moscow restaurant with 1,006 gave 862.

Input	Yandex Maps organisation links, ids, or search terms plus a city
Output	One row per review, with the place's name, address, rating, phones and website on every row
Ceiling	600 a place in the order you pick; up to 2,400 different ones from Yandex's four orders together
Account needed	None, and no Yandex API key
Price	$0.30 per 1,000 reviews on the Free plan, a little less on paid plans. The free plan's $5 a month covers about 16,000

Using an AI agent?
Actor	dami_studio/yandex-maps-reviews-scraper
Set one field	startUrls, labelled "Organisation links or ids" in the Console
Cap the bill	maxTotalChargeUsd on the run, for example 0.10: it never charges past that
MCP, one link	https://mcp.apify.com/?tools=fetch-actor-details,dami_studio/yandex-maps-reviews-scraper
How often	Weekly, or daily for a place you watch

🔍 What Yandex Maps Reviews Scraper does

There are two ways to name the places. Paste links, which can be the organisation page (https://yandex.ru/maps/org/niki_dent/55558183898/), its reviews tab, the bare numeric id 55558183898, or a Yandex Maps search link, which is expanded into the organisations it lists. Or skip links and search: put a name or a category into Search terms, add a City, and each term contributes a few organisations whose reviews are then read.

The filters run on the reviews after they arrive. Anything a filter removes is dropped before it reaches your dataset and is not billed, so setting Maximum star rating to 2 to pull complaints only costs you the complaints, not the praise you threw away.

📋 What data you get from each Yandex Maps review

What you get	Field
Yandex's own stable id for the review	reviewId
Stars, the text verbatim, its language, and whether there is any text	rating, text, textLanguage, hasText
Yandex's own translations of the text, where it has them	textTranslations
When it was published or last edited	publishedAt, publishedAtTimestamp
Who wrote it, their Yandex level, avatar and profile	authorName, authorId, authorLevel, authorAvatarUrl, authorProfileUrl
How other users voted on it	likes, dislikes
The owner's reply and when it went up	businessReplyText, businessReplyAt, hasBusinessReply
Photos and videos attached	photoUrls, photoCount, videoCount, videoUrls
Whether Yandex pinned it, and its place in the list	isPinned, position
The place card, repeated on every row	organizationId, organizationName, organizationAddress, organizationCity, organizationCategory, organizationCategories, organizationRating, organizationRatingCount, organizationReviewCount, organizationUrl, organizationReviewsUrl
The phone numbers and websites the business published on its card	organizationPhones, organizationWebsites
The search term that found the place, when you searched	searchQuery

▶️ How to scrape Yandex Maps reviews

1. Open Yandex Maps Reviews Scraper and click Try for free.
2. Paste organisation links into Organisation links or ids, one per line. Or leave that empty, open Find organisations by search, and type a term plus a city.
3. Set Maximum reviews per organisation and Review order. Start at 20 to see what the rows look like.
4. Open Filters if you only want a star range, written reviews, replied-to reviews, reviews mentioning a word, or a date range.
5. Click Start, then download the dataset as JSON, CSV or Excel, or read it from the Apify API.

💰 How much does it cost to scrape Yandex Maps reviews?

$0.30 per 1,000 reviews on the Free plan. Paid plans pay a little less: $0.295 on Starter, $0.29 on Scale and $0.285 on Business. On the free plan, the $5 Apify gives you each month covers about 16,000 reviews.

One billed row per review delivered. The sample row is not billed, diagnostic rows are not billed, an organisation with no reviews produces no billed rows, and anything your filters remove is dropped before the dataset and never billed.

📥 What you give it

{
  "startUrls": ["https://yandex.ru/maps/org/niki_dent/55558183898/"],
  "maxReviewsPerOrganization": 100,
  "order": "newest",
  "maxItems": 500,
  "maxRating": 3,
  "onlyWithText": true,
  "newerThan": "2026-01-01"
}

Field	Default	What it is
startUrls	none, the box starts at one example clinic	Organisation page links, reviews-tab links, bare numeric ids, or a Yandex Maps search link.
maxReviewsPerOrganization	100	Reviews per organisation, 1 to 2,400. Past 600 the run reads Yandex's other orders too, so those reviews do not follow order.
order	relevance	relevance (Yandex's default order), newest, highest or lowest rated first. Anything else is refused before anything is read.
maxItems	500	Hard cap across every organisation in the run, up to 50,000. Use it as the budget stop.
searchQueries	none	Optional. Find organisations by name or category instead of pasting links, like стоматология or Osteria Mario.
city	none	City for those search terms. English, Russian or the local spelling all work: Moscow, Москва, Almaty, Istanbul. So does its geo id, the number in a Yandex Maps link of the city (213 is Moscow).
maxOrganizationsPerQuery	3	How many organisations each search term contributes, 1 to 50.
minRating, maxRating	none	Under Filters. Keep only reviews in a star range. Set maxRating to 2 or 3 for complaints only.
onlyWithText	off	Skip star-only ratings that carry no written review.
onlyWithBusinessReply	off	Keep only reviews the organisation replied to.
newerThan	none	An ISO date like 2026-01-01. Only reviews at or after it. Something that is not a date, like 2 weeks, is refused before anything is read.
olderThan	none	An ISO date like 2026-06-30. Only reviews before it. With newerThan it makes a date range; a range with no room in it is refused before anything is read.
textContains	none	Words or phrases. Only reviews whose text holds at least one of them, capital letters ignored, like парковка or очередь.
language	automatic	Under Advanced. The language for the place name, address and category. Review text always stays in the language it was written in.
proxyConfiguration	leave it alone	Optional. Only if you want the run to go out through a particular network of your own.

📤 What you get back

A real row from a run on 17 October 2026, with the review, the reply and the translation cut short:

{
  "reviewId": "Do3qkCnDnsomk9XhYPTBpIvACtyWNTrH",
  "organizationId": "55558183898",
  "organizationName": "Стоматология на Никитской",
  "organizationAddress": "Москва, Малая Никитская улица, 33",
  "organizationCategory": "Стоматологическая клиника",
  "organizationRating": 5,
  "organizationReviewCount": 83,
  "organizationUrl": "https://yandex.com/maps/org/stomatologiya_na_nikitskoy/55558183898/",
  "organizationReviewsUrl": "https://yandex.com/maps/org/stomatologiya_na_nikitskoy/55558183898/reviews/",
  "rating": 5,
  "text": "Невероятная клиника, стоматология!! Супер! Врачи настоящие профессионалы!! Очень повезло!...",
  "textLanguage": "ru",
  "hasText": true,
  "publishedAt": "2026-05-14T11:42:41.208Z",
  "publishedAtTimestamp": 1778758961208,
  "authorName": "Анна М.",
  "authorId": "0000000000000000000000000",
  "authorLevel": "Знаток города 7 уровня",
  "authorAvatarUrl": "https://avatars.mds.yandex.net/get-yapic/…",
  "authorProfileUrl": "https://yandex.com/maps/user/0000000000000000000000000",
  "likes": 0,
  "dislikes": 0,
  "businessReplyText": "Благодарим вас за такой подробный и эмоциональный отзыв...",
  "businessReplyAt": "2026-05-15T17:39:02.331Z",
  "hasBusinessReply": true,
  "photoUrls": ["https://avatars.mds.yandex.net/get-altay/20218502/2a0000019e26c1d1820a..."],
  "photoCount": 1,
  "videoCount": 0,
  "isPinned": false,
  "position": 1,
  "scrapedAt": "2026-10-17T17:48:12.784Z",
  "textTranslations": { "tr": "İnanılmaz klinik, diş hekimliği!! Süper! Doktorlar gerçek pr..." },
  "videoUrls": [],
  "organizationRatingCount": 96,
  "organizationCategories": ["Стоматологическая клиника"],
  "organizationCity": "Москва",
  "organizationPhones": ["+79150582127", "+74951577878"],
  "organizationWebsites": ["https://nikdental.ru/"],
  "searchQuery": null
}

Field	How to read it
reviewId	Yandex's own stable id. The right key for deduping across runs.
text, hasText	The review verbatim, in whatever language it was written. hasText is false on star-only ratings.
publishedAt	Yandex's timestamp for the review. It moves when the reviewer edits, so an edited old review reads as recent.
authorLevel	Yandex's own badge text, like Знаток города 7 уровня.
businessReplyText, businessReplyAt	The owner's reply and when it was posted. When there is no reply, hasBusinessReply is false.
isPinned	Whether Yandex pinned this review to the top of the place's list.
textTranslations	Language code to text, exactly as Yandex has it, or null. Which languages you get depends on the place, not on language.
videoUrls	Links to Yandex's player for each video. Nothing is downloaded.
organizationPhones, organizationWebsites	What the business itself put on its Yandex card. Empty when it published none.

🧾 Reading the output

Row	How to spot it	Billed
A review	It has a reviewId	yes
The sample row	_sample: true	no
A diagnostic	It carries an errorCode	no

There is no charged field on these rows. Filter on reviewId being present.

Code	What it means
NO_REVIEWS	That organisation has none.
BAD_URL	Not a Yandex Maps organisation link or a usable id. A bare id needs at least six digits.
CITY_NOT_FOUND	The city could not be placed: Yandex did not know it, matched only businesses with that name, or has no such geo id. Nothing was searched.
BAD_INPUT	newerThan or olderThan is not a date, the two leave no room between them, or order is not one of the four. Nothing was read.
FEWER_REVIEWS	A place came back with fewer reviews than you asked for. reviewsAsked and reviewsRead give the numbers. Past 600 it can also mean Yandex's four orders held no more different reviews of that place.
FILTER_STOP	Few reviews matched the words filter or the end date, so that place, or the rest of the run, was not read further. Whether this happens depends on how many match and how quickly the pages load, so a place with no match can also be read to the end and simply give no rows.
NO_ORGANIZATIONS	A search term matched no organisations in that city.
SEARCH_FAILED	That search could not be run.
NOT_FOUND	Yandex has no such organisation.
NOT_SERVED	This review was not served this run. Re-run it later. Until 12 October 2026 this code was called CAPTCHA. With a reviewsRead count, the reviews of that place before it arrived and were billed, and the run read no further place.
NO_REVIEW_BLOCK, NO_STATE	The page loaded but the reviews were not in it.
FETCH_FAILED, HTTP_ERROR	Yandex was unreachable or answered badly.
UNEXPECTED_ERROR	The run stopped early on an unexpected error. The results before this row are kept.

If your filters remove every review for an organisation, you get zero rows for it. That is a filter doing its job, not a failure.

💡 What people use it for

• Reputation monitoring for your own locations, on a schedule, with newerThan set to the last run and reviewId for deduping.
• Checking how responsive a business is, using hasBusinessReply and the gap between publishedAt and businessReplyAt.
• Surveying a category across a city, by searching стоматология in Moscow and reading every organisation's reviews in one run.
• Feeding review text into a translation or sentiment step of your own, with textLanguage already filled in.

From a category to its complaints, in three steps:

1. Run Yandex Maps Scraper on стоматология in Moscow and copy the url column.
2. Paste those links into startUrls here, with maxRating at 2 and onlyWithText on.
3. Group the rows by organizationName and read the complaint that keeps coming back.

🚧 What it does not do

• Not every review of a big place. Yandex lists up to 600 in each of its four orders. Past the first 600 the reviews come from the other orders, not yours, and reading that deep takes minutes.
• No reviewer contact details. Name, level, avatar and profile link are what Yandex publishes.
• No business e-mail. Yandex's place cards carry phone numbers and websites, not e-mail addresses.
• No topic counts and no summary of the place. The page this reads does not carry them.
• publishedAt follows Yandex's own timestamp, which moves when a review is edited. An edited old review can look recent and will pass newerThan.
• We translate nothing. textTranslations is whatever Yandex has: Turkish only on the Moscow places we tried, English too on an Almaty one.
• A city name has to be a place to Yandex. One it only matches to businesses is refused rather than searched somewhere else: Springfield came back as shops in Belgrade. A geo id always works.
• A place can come back short. When part of a place's reviews does not load, you get what loaded plus a free FEWER_REVIEWS row with the numbers. Only delivered reviews are billed.
• Rows are a snapshot. Ratings, reply text and review counts all move.
• It is not an official Yandex tool. Dami's Studio is independent and is not affiliated with or endorsed by Yandex, or by any other company named on this page.

🧭 Which Yandex scraper do you need?

If you want	Use
Businesses on Yandex Maps, with phones, hours and coordinates	Yandex Maps Scraper
Reviews for a place on Yandex Maps	This one
Yandex search results by keyword and region	Yandex Search Engine Scraper
Products and prices on Yandex Market	Yandex Market Scraper
Reviews of a place on 2GIS	2GIS Reviews Scraper
Reviews of a place on Google Maps	Google Maps Reviews Scraper

❓ Questions people ask

Do I need a Yandex API key to scrape Yandex Maps reviews?

No. Nothing to apply for and no quota to watch.

Can I get more than 600 reviews for one place?

Up to 2,400 different ones: set Maximum reviews per organisation above 600. How many a place gives depends on how much Yandex's four orders overlap.

Can I get the newest reviews only?

Yes: Review order newest first, plus Published after for a cut-off. Each place stops at the first older review, so you pay for the new ones only.

Which countries does this cover?

Wherever Yandex Maps has an organisation directory, which includes Russia, Kazakhstan, Turkey and the wider CIS.

Can I call it from code or connect it to an AI assistant?

The API tab has code for Python, JavaScript and the CLI. MCP clients like Claude and ChatGPT use https://mcp.apify.com/?tools=fetch-actor-details,dami_studio/yandex-maps-reviews-scraper; coding assistants can load our skill file. All three bill your Apify account at the same price.

# pip install apify-client
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("dami_studio/yandex-maps-reviews-scraper").call(
    run_input={
        "startUrls": ["https://yandex.ru/maps/org/niki_dent/55558183898/"],
        "maxItems": 50,
    },
    max_total_charge_usd=0.10,  # the most this run may spend
)
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    if row.get("ok") is False:  # free note rows, not results
        continue
    print(row.get("rating"), (row.get("text") or "")[:80])

Is scraping Yandex Maps reviews legal?

These are public reviews and the phone numbers and websites businesses published on Yandex, read the way a signed-out visitor sees them. They carry personal data, and a sole trader's phone number can be personal data too: GDPR, Canada's PIPEDA and similar laws cover it, so keep only what you need. Anti-spam laws such as CASL, the EU's e-privacy rules and CAN-SPAM decide how you may contact anyone, and Yandex's own terms still apply to what you do with the data. Apify's write-up on the legality of web scraping is a good starting point, and we are not lawyers.

🆘 If something breaks

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