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Yandex Maps Reviews Scraper

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from $25.00 / 1,000 results

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Yandex Maps Reviews Scraper

Yandex Maps Reviews Scraper

Extract reviews from any Yandex Maps business listing. Includes automatic RU→EN translation, sentiment analysis (-1 to 1 score), star ratings, photos, business replies, and metadata. Filter by date range and rating. Search by query or direct URL.

Pricing

from $25.00 / 1,000 results

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Yuliia Kulakova

Yuliia Kulakova

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Yandex Maps Reviews Scraper

Yandex Maps Reviews Scraper

Extract Yandex Maps reviews with English translation and sentiment analysis. $25 per 1,000 reviews.

Yandex Maps is the dominant mapping platform across Russia and CIS — the equivalent of Google Maps for over 100 million users. Every business listing accumulates reviews that directly influence purchasing decisions. There is no official Yandex API for review data. This scraper is the only maintained solution that delivers translated, sentiment-scored review data ready for analysis.


What you get

For every review scraped, you receive:

  • Original Russian text — complete, untruncated review content
  • English translation — automatic RU→EN translation, already-English text is detected and skipped
  • Sentiment analysis — positive / neutral / negative label, a continuous score from -1.0 to 1.0, and the specific keywords that drove the classification
  • Star rating — 1–5 stars per review
  • Review date — parsed to ISO format (YYYY-MM-DD)
  • Reviewer profile — name and link to their Yandex profile
  • Photos — count and direct URLs of all photos attached to the review
  • Business reply — owner response text when present
  • Reaction counts — helpful, unhelpful, and funny counts per review
  • Business metadata — name, address, phone, website, working hours, overall rating, and total review count

Key features

Automatic RU→EN translation

Every review is translated from Russian to English using the Google Translate API with LRU caching for efficiency. Your team works directly with the English output — no manual translation step required.

Sentiment scoring

Each review receives a sentiment label (positive / neutral / negative), a continuous score from -1.0 to 1.0, and a list of the keywords that influenced the score. The score combines the star rating (primary signal) with a bilingual keyword scan of the review text.

Search-based discovery

Provide search queries instead of URLs — for example "coffee shop Almaty center" — and the scraper finds matching businesses and collects their reviews automatically. Useful for competitor research and market mapping without knowing exact listing URLs in advance.

Date and rating filters

Filter reviews by date range (dateFrom / dateTo) and minimum star rating (minRating). Run scheduled incremental scrapes to capture only new reviews since your last run. Billing applies only to reviews that pass all filters.

Sort order

Request reviews sorted by newest first (by_time), lowest rating first (by_rating_asc), or highest rating first (by_rating_desc).


Why Yandex data is valuable

Yandex controls the dominant share of search and maps traffic across Russia and CIS markets. A business's Yandex Maps rating directly influences local visibility and foot traffic — in the same way Google Maps reviews drive decisions in Western markets. Yet the entire review corpus is in Russian, making it operationally inaccessible to most English-speaking teams without translation infrastructure.

This scraper delivers that data in English, structured, and sentiment-scored — ready to drop into your analytics pipeline, BI tool, or spreadsheet.


Use cases

Market research and competitive analysis Pull reviews for any set of businesses in a city or category. Compare sentiment scores, identify recurring complaints, and benchmark ratings across competitors — without reading Russian.

Reputation monitoring Track your own listings across multiple locations without logging into Yandex Business per branch. Set up scheduled runs with dateFrom filtering to capture only reviews posted since the last run.

NLP dataset creation Yandex Maps reviews are Russian-language ground truth: star ratings provide reliable sentiment labels. Export textOriginal + rating + sentimentScore to build or validate Russian-language NLP models.

Lead generation and B2B prospecting Use businessPhone, businessWebsite, businessAddress, and category context to build targeted lists of businesses by region and vertical.


Input options

ParameterTypeDescription
businessUrlsarrayDirect Yandex Maps listing URLs to scrape
searchQueriesarraySearch terms — scraper finds matching businesses automatically
maxReviewsPerBusinessnumberMaximum reviews to collect per business (default: 100)
translateToEnglishbooleanEnable RU→EN translation (default: true)
analyzeSentimentbooleanEnable sentiment scoring (default: true)
sortBystringby_time · by_rating_asc · by_rating_desc
minRatingnumberMinimum star rating to include (1–5, default: 0 = all)
dateFromstringInclude reviews on or after this date (YYYY-MM-DD)
dateTostringInclude reviews on or before this date (YYYY-MM-DD)

Output schema

FieldTypeDescription
reviewIdstringUnique review identifier
businessNamestringBusiness display name
businessUrlstringScraped Yandex Maps URL
businessAddressstringFull formatted address
businessPhonestringBusiness phone number
businessWebsitestringBusiness website URL
businessHoursRawstringWorking hours text
businessRatingOverallnumberOverall average rating (e.g. 4.7)
businessTotalReviewsnumberTotal review count for the business
ratingnumberReview star rating (1–5)
textOriginalstringOriginal Russian review text
textEnglishstringEnglish translation
reviewDatestringISO date (YYYY-MM-DD)
sentimentstringpositive, neutral, or negative
sentimentScorenumberScore from -1.0 (most negative) to 1.0 (most positive)
sentimentKeywordsarrayKeywords that drove the score (negative ones prefixed with -)
reviewerNamestringReviewer display name
reviewerUrlstringLink to reviewer's Yandex profile
hasPhotosbooleanWhether the review includes photos
reviewPhotosCountnumberNumber of photos attached
photoUrlsarrayDirect URLs of review photos
reactionCountsobject{helpful: N, unhelpful: N, funny: N}
businessReplystringBusiness owner response text
scrapedAtstringISO timestamp of when the review was scraped

Quick start examples

Scrape a business by URL

{
"businessUrls": [
"https://yandex.ru/maps/org/your_business/1234567890/reviews/"
],
"maxReviewsPerBusiness": 100,
"translateToEnglish": true,
"analyzeSentiment": true,
"sortBy": "by_time"
}

Find businesses by search query

{
"searchQueries": [
"coffee shop Almaty center",
"sushi restaurant Baku"
],
"maxReviewsPerBusiness": 50,
"translateToEnglish": true,
"analyzeSentiment": true
}

Incremental update — last 30 days only

{
"businessUrls": [
"https://yandex.ru/maps/org/your_business/1234567890/reviews/"
],
"maxReviewsPerBusiness": 500,
"translateToEnglish": true,
"analyzeSentiment": true,
"sortBy": "by_time",
"dateFrom": "2026-04-15",
"dateTo": "2026-05-15"
}

Negative reviews only

{
"businessUrls": [
"https://yandex.ru/maps/org/your_business/1234567890/reviews/"
],
"maxReviewsPerBusiness": 200,
"translateToEnglish": true,
"analyzeSentiment": true,
"sortBy": "by_rating_asc",
"minRating": 0
}

Pricing

$25 per 1,000 reviews — pay only for reviews that pass your filters. No monthly minimums, no setup fees.

VolumeCost
100 reviews$2.50
1,000 reviews$25.00
10,000 reviews$250.00
100,000 reviews$2,500.00

Filtered-out reviews (by date or rating) are not charged.


Competitor comparison

FeatureThis scraperzen-studio actorDIY / open-source
RU→EN translationYesNoNo
Sentiment score + keywordsYesNoNo
Date filteringYesNoNo
Rating filterYesNoNo
Sort order controlYesNoNo
Search-based discoveryYesNoNo
Business phone / website / hoursYesPartialNo
Business overall rating + review countYesPartialNo
Reaction countsYesNoNo
No infrastructure requiredYesYesNo
Actively maintainedYesIntermittentNo

Notes

  • Yandex Maps displays up to approximately 600 reviews per listing regardless of scraping method — this is a platform constraint, not a scraper limitation.
  • Translation and sentiment analysis can be disabled independently to reduce cost or processing time.
  • Scheduled runs with dateFrom filtering are the recommended approach for ongoing monitoring workflows.