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Avito Real Estate Scraper - Properties, Prices & Rentals

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from $1.40 / 1,000 listing records

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Avito Real Estate Scraper - Properties, Prices & Rentals

Avito Real Estate Scraper - Properties, Prices & Rentals

Scrape Avito real estate: apartments and rooms for sale or rent with rooms, area, floor, price per square metre, mortgage chips and the owner-vs-agent seller signal. City search with the site's own facet filters or paste links. Resume, incremental updates and MCP export included.

Pricing

from $1.40 / 1,000 listing records

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Abot API

Abot API

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Avito Real Estate Scraper - Apartments for Sale & Rent

Avito Real Estate Scraper turns Avito's real-estate section into a clean data API. Search apartments and rooms for sale or rent by city with the site's own facet filters (room count, resale vs new-build, price range, owner-only), or paste search links - and get structured records with rooms, area, floor, price per square metre, mortgage chips, the full attribute table and the owner-vs-agent seller signal - then export to JSON, CSV or Excel, or pull the results straight into your app through the API.

Why This Scraper?

  • Two ways in. Search by city and property filters, or paste Avito search and category links.
  • Sale and rental listings. Search apartments and rooms for sale or long-stay rent, with short-stay apartment rentals also available.
  • Property filters. Narrow searches with room count, property features, price range, keywords and private-owner filters.
  • Listing details. Enable detail reads for seller type, descriptions, property attributes, coordinates and available price history.
  • Built for schedules. Resume interrupted runs or use incremental mode to return new and changed listings.
  • App exports. Download JSON, CSV or Excel, use the dataset API, or send records to connected apps through MCP.

Use Cases

  • Who: property researchers - compare asking prices, floor areas and price per square metre across city searches.
  • Who: rental analysts - collect rental listings by city, price range and keyword.
  • Who: listing-monitoring teams - track new and changed properties with recurring runs.

Data You Get

Sample shape: one property listing; values illustrate the record format.

FieldExample
id8062141126
title4-к. квартира, 305,9 м², 11/11 эт.
price590968210
pricePerSqm1931888
rooms4
areaSqm305.9
floor11
totalFloors11
realtyBenefitИпотека 12,39%
categorykvartiry
subcategoryprodam
regionmoskva
sellerTypeprivate
sellerName(detail read)
urlhttps://www.avito.ru/moskva/kvartiry/4-k._kvartira_3059_m_1111_et._8062141126
changeTypeNEW

How to Use

  1. Pick a mode: Search builds tokenized real-estate searches from your filters; URL scrapes exactly the avito search links you paste (the site's own filter links work as-is).
  2. Pick the category (apartments or rooms) and the deal type (sale, long-stay rent, short-stay rent), then narrow with rooms, feature, price and owner filters.
  3. Set Max items for the run cap (20 by default) and keep Fetch detail pages on for the seller signal and the full attribute table.
  4. Run the actor and export the dataset, or select an MCP connector to send records into your apps.

Apartments for sale in Moscow:

{"mode": "search", "regions": ["Moscow"], "category": "kvartiry", "dealType": "prodam", "maxListings": 30}

Two-room resale with owner-only:

{"mode": "search", "regions": ["Moscow"], "rooms": 2, "features": "vtorichka", "ownerOnly": true, "maxListings": 20}

Cheap long-stay rentals, cheapest first:

{"mode": "search", "regions": ["Moscow"], "dealType": "sdam", "maxPrice": 60000, "sortBy": "price_asc", "maxListings": 20}

Watch a search on a schedule:

{"mode": "search", "regions": ["Moscow"], "rooms": 2, "incrementalMode": true, "stateKey": "are-watch", "maxListings": 0}

Run it from your code

Run it from Python:

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("abotapi/avito-real-estate-listings-scraper").call(run_input={
"mode": "search",
"regions": ["Moscow"],
"maxListings": 5,
})
items = client.dataset(run["defaultDatasetId"]).list_items().items

Run it from JavaScript:

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('abotapi/avito-real-estate-listings-scraper').call({
mode: 'search', regions: ['Moscow'], maxListings: 5,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Tips

  • Residential proxies are required: the listing routes refuse datacenter IPs. The exit country rotates per session for maximum reliability.
  • Room, feature facets are the site's own sale-scoped filters; rent listings filter by price and keyword.
  • Other real-estate categories (houses, commercial, land, garages) work in URL mode: paste a tokenized link from the site.

Send results into your apps (MCP connectors)

Optionally send records into the apps you already use through MCP connectors: set MCP connectors (for example a Notion database) and cap the export with Max records to connectors. The export is a gated side channel: it never changes the dataset.

FieldWhat it does
mcpConnectorsConnector ids to export to (empty = no export).
notionParentPageUrlURL or id of the Notion parent page (required for the Notion connector).
maxNotifyListingsCap on records written to each connector per run.

Input Parameters

ParameterTypeDefaultDescription
modestringsearchFilter-driven search, or paste your own avito links.
regionsarray["Moscow"]City names (Москва / Moscow) or avito slugs.
categorystringkvartiryApartments or rooms. Houses/commercial/land/garages work in URL mode.
dealTypestringprodamSale, long-stay rent, or short-stay rent.
roomsinteger-Room facet 1-5 (site's own values; sale listings only).
featuresstring-Resale / new-build / free plan / renovated / courtyard windows / mortgage / market price.
minPriceinteger-Price range floor in rubles.
maxPriceinteger-Price range ceiling in rubles.
querystring-Free-text keyword.
sortBystringdefaultRelevance, newest, price up, price down.
ownerOnlybooleanfalseExclude agencies and professional sellers.
urlsarray[{"url": "https://www.avito.ru/moskva/kvartiry/prodam-ASgBAgICAUSSA8YQ"}, {"url": "https://www.avito.ru/moskva/kvartiry/prodam-ASgBAgICAUSSA8YQ?p=2"}, {"url": "https://www.avito.ru/moskva/kvartiry/sdam-ASgBAgICAkSSA8gQ8AeQUg"}]Tokenized avito search links (url mode).
maxListingsinteger20Hard global cap on records per run (0 = billing cap only).
maxPagesinteger0Cap on pages per search (0 = no page cap).
fetchDetailsbooleantrueRead each listing's page for seller type, attributes, coordinates, price history.
proxyobject{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}Residential required - datacenter is refused on listing routes.
resumeFromRunIdstring-Paste a previous run ID to continue without re-collecting or re-charging.
incrementalModebooleanfalseTrack changes across scheduled runs; suppress and never bill unchanged records.
stateKeystring-Optional name for the incremental baseline.
emitUnchangedbooleanfalseAlso return unchanged records, marked and billed.
emitExpiredbooleanfalseAlso return disappeared records, marked and billed.
ignoreFieldsForChangesarray-Extra top-level fields excluded from change detection.
mcpConnectorsarray-Connector ids to export to (empty = no export).
notionParentPageUrlstring-URL or id of the Notion parent page (required for the Notion connector).
maxNotifyListingsinteger50Cap on records written to each connector per run.

Output Example

Sample shape: one listing record, from a live record.

Live record: 4-к. квартира, 305,9 м², 11/11 эт.

{
"id": "8062141126",
"title": "4-к. квартира, 305,9 м², 11/11 эт.",
"price": 590968210,
"pricePerSqm": 1931888,
"rooms": 4,
"areaSqm": 305.9,
"floor": 11,
"totalFloors": 11,
"realtyBenefit": "Ипотека 12,39%",
"category": "kvartiry",
"subcategory": "prodam",
"region": "moskva",
"url": "https://www.avito.ru/moskva/kvartiry/4-k._kvartira_3059_m_1111_et._8062141126"
}

Plan Requirement

Charges include a start fee per run, a per-record fee for every listing returned, and a detail surcharge for each listing whose page was read for full enrichment. Listings returned as search cards without the detail read carry no detail surcharge. Exact prices are on the actor's Pricing tab.

FAQ

How much does it cost?

Charges include a start fee per run, a per-record fee for every listing returned, and a detail surcharge per enriched listing. Max items caps the records a run returns, so it also caps the bill. Exact prices are on the actor's Pricing tab.

The actor reads publicly accessible Avito property listings and listing details. It does not access private accounts or checkout. You are responsible for using the data in line with the site's terms of use, privacy law such as GDPR or CCPA, and applicable regulations; personal data of identifiable individuals requires a lawful basis.

Does it scrape comments or reviews?

No. This actor returns property listings and optional listing details; it does not collect comments or reviews.

Can I get only new or changed listings on a schedule?

Yes. Turn on Incremental mode and schedule the actor. The first run returns everything matching as NEW; later runs return only NEW and UPDATED records. Listing content changes are tracked; rotating photo URLs and view counters are excluded as noise by default. Use State key to keep a monitoring campaign stable, and Emit unchanged or Emit expired only if you also want those rows (they return and bill extra rows).

Why did my run fail instead of returning an empty dataset?

A run that never got a single readable answer fails loudly with a connection message instead of reporting an empty dataset. Check the city, property filters, links and proxy settings before retrying.

Can I use it with AI agents or MCP?

Yes. Every record is plain JSON over the dataset API, and the MCP connector export sends rows straight into tools like Notion. Point an agent at the dataset items endpoint with the input above.

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