Sutochno.ru Scraper

Scrape Sutochno.ru, Russia's largest short-term-rental platform and the domestic alternative to Airbnb: apartment and house listings with real stay prices, availability, ratings, guest reviews, amenities and owner profiles. Search any city with your dates and guest count, or paste listing, hotel and search links.

Why This Scraper?

• Real stay pricing, not brochure rates. Every listing is priced for your exact check-in and check-out dates: per-night rate, stay total, season price rows, long-stay tiers, prepayment and service fee.
• Reviews behind pagination. Guest reviews are collected past the first page (up to your per-listing limit) with ratings, stay dates, party size and text, into a dedicated Reviews tab.
• Detail records, not just cards. House rules, check-in and check-out windows, the full amenity set, owner response stats and the complete photo gallery come off each listing's detail record.
• Availability signals per stay window. Booking availability, rooms left and max guests are read for your dates, so occupancy analytics work out of the box.
• Filters as first-class inputs. Housing types, hotel stars, guest score, instant booking and the site's own sort orders reach the site server-side, not as post-hoc guesses.
• Built for schedules. Incremental mode tracks listings between runs and returns only new or changed ones; resume continues an interrupted run; both are first-class inputs.

Use Cases

• Who: Price analysts and revenue managers tracking daily rates across Russian cities for specific stay windows.
• Who: Investors and hosts benchmarking occupancy signals (availability, rooms left) and competitor amenities in their market.
• Who: Travel and relocation researchers comparing neighborhoods by price, rating, reviews and transit notes.
• Who: Data teams feeding RU rental inventory into dashboards or alerts through the dataset, API or MCP connectors.

Data You Get

Sample shape: values are illustrative placeholders, not from a live record.

Fields (highlights)

Field	Example
objectId, recordId, url	12345678, sutochno:12345678, listing link
title, typeTitle, hotelTitle, hotelStars	Студия, квартиры, апартаменты, hotel block for hotels
pricePerNight, fullPrice, periodNights, currency	5000, 10000, 2, RUB
prepayment, serviceFee, bonus	stay cost breakdown
seasonPrices, extPrices	per-period and long-stay price tiers
busyStatus, roomsAvailable, maxGuests	unbusy, 1, 3
rating, countReviews, reviewsTotal	4.9, 27, 27
reviews[]	rating, text, author, dates, stay size, images
address, cityTitle, lat, lng, metroStations	location block
area, bedrooms, beds, guests, roomsCount, floor	capacity block
checkInAfter, checkOutUntil, minNights, earlyCheckIn	house rules
wifi, parking, airConditioning, washmachine, tv	amenity flags
ownerName, ownerAnswerRate, ownerAnswerTimeMinutes, ownerSince	owner profile
mediaUrls, photoCount	full photo gallery
changeType, changedFields, firstSeenAt, lastSeenAt	incremental bookkeeping

Output tabs: Listings (overview), Full listing details, Reviews (one row per review), Changes (incremental mode).

How to Use

Search a city with dates and guests:

{
    "mode": "search",
    "location": "Санкт-Петербург",
    "checkIn": "2026-12-04",
    "checkOut": "2026-12-07",
    "guestsAdults": 2,
    "maxItems": 50
}

Search with filters and sorting:

{
    "mode": "search",
    "location": "Сочи",
    "sortings": "price_asc",
    "housingTypes": ["apartment", "hotel"],
    "minReviewScores": ["8", "9"],
    "maxItems": 100
}

Read pasted links:

{
    "mode": "urls",
    "urls": ["https://sochi.sutochno.ru/998663"],
    "fetchDetails": true,
    "fetchReviews": true
}

Supported link shapes (URLs mode):

Link	What it reads
sochi.sutochno.ru/998663, sutochno.ru/998663, m.sutochno.ru/998663, sutochno.ru/front/searchapp/detail/858763	one listing
sutochno.ru/hotels/144264 (optional ?occupied=2026-12-10;2026-12-13)	one hotel listing; the dates set its stay and price window; a window that starts before today is ignored with a warning and the relative default window is used
sutochno.ru/front/searchapp/search?term=...	a search; occupied, guests_adults, sortings (0 relevance, 1 price up, 2 price down), is_hotel/is_house/... flags, id+type and page are honoured
spb.sutochno.ru/, spb.sutochno.ru/?page=2	everything listed for that city
spb.sutochno.ru/hotels (also house and hostel categories)	that city, narrowed to the category
spb.sutochno.ru/1-komnatnye	the whole city: room-count categories have no server-side filter, so a warning is logged and the scope counts as partial
sutochno.ru/armenia	everything listed for that country

A link with ?page=N (N above 1) starts at that page and counts as a partial scope, so incremental runs never mark unseen listings as expired. If you leave the URL list untouched, URLs mode scrapes one example of each shape above. Search mode ignores the list.

Run it from your code

Python (Apify client 3.x):

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("abotapi/sutochno-ru-scraper").call(run_input={
    "mode": "search",
    "location": "Санкт-Петербург",
    "checkIn": "2026-12-04",
    "checkOut": "2026-12-07",
    "maxItems": 50,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"], item["pricePerNight"], item["fullPrice"])

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('abotapi/sutochno-ru-scraper').call({
    mode: 'search',
    location: 'Санкт-Петербург',
    checkIn: '2026-12-04',
    checkOut: '2026-12-07',
    maxItems: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.map((i) => [i.title, i.pricePerNight, i.fullPrice]));

Tips

• Set both dates to see real prices. Prices on the site depend on the stay window; without dates the actor prices a default 30-night window for availability.
• Min/Max price are applied after collection (the site filters price in the browser the same way), so Max items counts listings before the price filter narrows them.
• Unknown location? Use the city name as the site spells it; the actor resolves your text against the site's own location directory and fails with a clear message when it is not there.
• Incremental schedules: keep the same location, dates and filters so the scope hash stays stable; new and changed listings are billed, unchanged ones are not.

Send results into your apps (MCP connectors)

Optionally send results into the apps you already use through Model Context Protocol (MCP) connectors. This is an extra delivery step after the scrape; the dataset is never changed and the full record always stays in it.

1. Authorize a connector once under Apify -> Settings -> Integrations.
2. Select it in the mcpConnectors field.
3. For Notion, also set notionParentPageUrl. maxNotifyListings caps how many listings each connector receives per run.

Leave the field empty to skip.

Input Parameters

Parameter	Type	Default	Description
mode	select	search	search walks a location; urls reads pasted links.
location	string	Санкт-Петербург	Search mode: city, region or address the site knows.
checkIn	date	none	Check-in date (YYYY-MM-DD).
checkOut	date	none	Check-out date; defaults to one night after check-in.
guestsAdults	integer	2	Adult guests the search should fit.
guestsChildrens	array	[]	Child guest ages (0-17), e.g. [4, 9].
pets	boolean	false	Only listings that accept pets.
sortings	select	relevance	relevance, price_asc or price_desc as the site serves it.
maxItems	integer	20	Maximum listings per run; 0 walks to the natural end.
maxPages	integer	0	Page cap per scope; 0 walks until results run out.
housingTypes	multi-select	[]	apartment, hotel, house, room, bed, mini_hotel, aparthotel (applied by the site).
stars	multi-select	[]	Hotel star ratings; none = unrated hotels.
minReviewScores	multi-select	[]	Guest score filter values 6-9 (the site's own filter).
bookingNow	boolean	false	Only instantly bookable listings.
priceMin	integer	none	Minimum price per night, RUB, applied after collection.
priceMax	integer	none	Maximum price per night, RUB, applied after collection.
urls	URL list	one example of each shape	URLs mode: listing, hotel, search-app, city and country page links. Leave it untouched and URLs mode scrapes one example of each supported shape (see the Supported link shapes table above); it never rides a search-mode run.
fetchDetails	boolean	true	Read each listing's detail record (description, amenities, rules, owner, full gallery).
fetchReviews	boolean	true	Collect guest reviews into a nested field.
maxReviews	integer	20	Review cap per listing (0 to 1000); 0 skips reviews.
fetchAvailability	boolean	true	Price the stay window: total, season rows, prepayment, availability.
availabilityDays	integer	30	Stay window length when no dates are set (1-90 nights).
proxyConfiguration	proxy	Apify proxy	The site is open; the default connection works. Residential supported if selected.
resumeFromRunId	string	none	Continue a previous unfinished run.
incrementalMode	boolean	false	Scheduled runs return only NEW or CHANGED listings.
stateKey	string	auto	Named incremental baseline (advanced).
emitUnchanged	boolean	false	Also return UNCHANGED listings in incremental mode.
changeScope	string	all	Incremental mode: all compares the whole record; priceAndStock compares only price and availability fields (pricePerNight, priceFull, priceWithoutDiscounts, fullPrice, busyStatus, roomsAvailable, bookingNow, extPrices, seasonPrices). Photo host rotation and review order never count as a change. Fields are compared after the run has read the listing's detail, availability and reviews (as far as those are switched on), so a changed availability or price shows up as UPDATED; re-reading an unchanged listing is not billed, only delivered rows are. Without fixed dates the moving window totals and season price segments (which shift with the run date) are ignored, so a plain re-run does not re-flag every listing as CHANGED.
emitExpired	boolean	false	Label listings that disappeared from the scope as EXPIRED. EXPIRED means the listing no longer appears in the results, not that it is unavailable for your dates (see busyStatus and roomsAvailable).
compactUpdates	boolean	false	Return UPDATED and EXPIRED listings as slim rows: identifiers, current price and availability, plus priceChanges and variantChanges with old and new values. NEW listings stay full. A slim UPDATED row bills the availability read only, never a detail record or reviews it does not carry.
expireAfterMissedScans	integer	1	With Emit expired: label a listing EXPIRED only after it was missing from this many complete scans in a row.
ignoreFieldsForChanges	array	[]	Dataset fields excluded from change detection. A dotted path such as seasonPrices.type drops that key from every element of the list.
mcpConnectors	array	[]	Send results into your apps (MCP connectors).
notionParentPageUrl	string	none	Notion connector only: page under which listing pages are created.
maxNotifyListings	integer	50	Cap on listings exported to each connector per run (1 to 1000). Does not affect the dataset.

Output Example

Sample shape: values are illustrative placeholders, not from a live record.

One listing from a city search (2-night stay window):

{
    "recordId": "sutochno:12345678",
    "kind": "listing",
    "objectId": 12345678,
    "title": "Студия",
    "typeTitle": "квартиры, апартаменты",
    "url": "https://sutochno.ru/front/searchapp/detail/12345678",
    "pricePerNight": 5000,
    "fullPrice": 10000,
    "periodNights": 2,
    "currency": "RUB",
    "busyStatus": "unbusy",
    "rating": 4.9,
    "countReviews": 27,
    "bookingNow": true,
    "photoCount": 21,
    "address": "ул. Примерная, 10",
    "cityTitle": "Санкт-Петербург",
    "area": 26,
    "bedrooms": 1,
    "guests": 2,
    "wifi": true,
    "checkInAfter": "15:00",
    "checkOutUntil": "12:00",
    "ownerName": "Анна",
    "ownerAnswerRate": 100,
    "reviews": [
        {
            "reviewId": 123456789,
            "rating": 5,
            "reviewText": "Все ок, цена качество, соответствует.",
            "reviewAuthor": "Guest",
            "reviewDate": "2026-10-01 10:00:00",
            "stayNights": 3
        }
    ],
    "changeType": "NEW"
}

Plan Requirement

This actor uses Pay Per Event pricing. Four events exist, each charged exactly as follows:

Event	Unit	When it fires
apify-actor-start	one per run	once, when the run starts
apify-default-dataset-item	one per row	each row actually saved to the dataset
detail-enrichment	one per served read	one for a served detail record and one for a served availability/stay-price read, billed with the row they enrich
review-enrichment	one per listing	one per saved listing whose reviews were collected (not one per individual review)

Enrichment events are charged only for rows that were saved, so card-only, suppressed and unchanged rows cost proportionally less. Check the Pricing tab on the actor page for the current per-event prices and your plan's tier rates.

FAQ

How much does a run cost?

The start event fires once per run. Each listing returned bills the dataset-item event; each served detail record and availability read bills one detail-enrichment unit each; a listing with collected reviews bills one review event. Card-only runs (enrichment off) bill the dataset-item event only.

Is it legal to scrape Sutochno.ru?

The actor reads the same public listing pages and JSON interface the site's own web app requests, without logging in and without bypassing any protection. Collect publicly available data responsibly: respect the site's terms, do not request data about private individuals beyond what listings publish, and keep run volumes reasonable.

How do I schedule recurring runs?

Enable Incremental mode and run the actor on a schedule (daily works well). The actor keeps a baseline in its named key-value store keyed by your search scope, returns only NEW or CHANGED listings, and can label disappeared ones as EXPIRED with Emit expired (optionally only after several missed complete scans). Turn on Compact updates for slim price and availability change rows.

Why did my run return fewer results than the site shows?

The site caps its map-lane result counter at 10,000; a walk ends at the natural end of pages. Max items, Max pages and the run time limit also stop a walk early (the status message says so). Min/max price filters apply after collection, so counts before and after the price filter can differ.

Can I use this actor with AI agents or MCP?

Yes. Add an MCP connector to the mcpConnectors input to push results into your connector-enabled app, or read the dataset through Apify's MCP server. The actor's structured fields (prices, availability, reviews, rules) are designed for downstream LLM consumption.

Does the actor log in or need an account?

No. Everything shipped here is public: listings, prices, availability and guest reviews.

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