SS.LV Latvia Classifieds Scraper

Pull classified ads from SS.LV — Latvia's dominant marketplace — across every section: real estate, cars and transport, jobs, electronics, home goods, animals and services. Every ad comes back with its title, price and price-per-m², map coordinates, full photo gallery, per-category specifications and its own SS.LV id, in English, Latvian or Russian. Built for property analysts, car dealers, market researchers and lead-generation teams who need clean, structured Latvian classifieds data without copying ads out of SS.LV's tables one page at a time.

Why This Scraper?

• All dozen-plus SS.LV sections, not just real estate — real estate, transport, jobs, electronics, construction, home goods, animals, agriculture, children, clothing, and services all flow through one actor with the same clean output shape.
• Three interface languages from one setting — request English, Latvian, or Russian results and get correctly rendered Cyrillic and Latvian-diacritic text (Рига, Pārdod, Sērija, Комнат) with no mojibake.
• Map coordinates on every mapped ad — real latitude and longitude pulled straight from each listing's map pin, ready to plot on a map or filter by radius.
• Per-category specifications captured automatically — a car ad returns make, year, mileage and gearbox; a flat returns rooms, area, floor and building series — all in one structured attributes map, with no per-category setup.
• Price and price-per-m² parsed for you — a numeric price, its currency, the exact price string as shown on the site, and the €/m² figure wherever SS.LV publishes it.
• Keyword search across the whole marketplace — type "audi" or "iphone" and search all of SS.LV at once, or paste several category, filtered-search, or single-ad URLs in one run (the competitor takes exactly one URL and no keywords).
• A stable SS.LV ad id on every row — dedupe cleanly across repeat runs and follow the same ad over time.
• Full-detail mode on demand — flip one switch to add the complete description, the full photo gallery, map coordinates, the listing date, and every seller-filled specification.
• A built-in result cap — set a maximum and the run stops itself at the next page boundary, so a broad category never runs up an open-ended bill.

Use Cases

Real Estate Research

• Track flat and house prices and price-per-m² by city, district and street across Latvia
• Map listings by their coordinates to study a neighbourhood or catchment area
• Compare building series and house types within a district
• Monitor new listings in Riga Centre and other hot areas over time

Automotive & Vehicle Market

• Build a live catalogue of cars by make and model with year, mileage and gearbox
• Benchmark asking prices for a specific model across the whole country
• Spot newly listed vehicles for dealer sourcing and trade-in valuation
• Watch trucks, trailers, motorcycles and parts alongside passenger cars

Price Monitoring & Reselling

• Track electronics, phones and home-goods prices for arbitrage and resale
• Follow a keyword ("iphone", "playstation") across every section at once
• Detect underpriced listings the moment they appear
• Compare the same item across categories and languages

Lead Generation & Market Entry

• Map who is advertising services, jobs and businesses in a region
• Size a category by pulling its full inventory with a single result cap
• Assemble structured datasets of sellers and their listings for outreach
• Localise research in English, Latvian or Russian to match your team

Data Enrichment & Integration

• Enrich an existing property or vehicle database with fresh SS.LV pricing
• Feed classifieds data into dashboards, alerts and comparison tools
• Power market reports with per-category specifications and coordinates
• Schedule recurring runs to keep a downstream dataset current

Getting Started

Scrape a Category Page

The simplest run — paste any SS.LV category or filtered-search URL:

{
    "startUrls": ["https://www.ss.lv/en/real-estate/flats/riga/centre/sell/"],
    "maxResults": 50
}

Search by Keyword

Skip the URL and just say what you're looking for:

{
    "searchQueries": ["audi", "iphone"],
    "language": "en",
    "maxResults": 100
}

Full Details, Multiple Sources, Latvian

Mix category URLs and keywords, switch the output language, and turn on full detail enrichment for descriptions, galleries, coordinates and specs:

{
    "startUrls": [
        "https://www.ss.lv/en/transport/cars/audi/",
        "https://www.ss.lv/en/real-estate/flats/riga/centre/sell/"
    ],
    "searchQueries": ["dzīvoklis Rīgā"],
    "language": "lv",
    "includeDetails": true,
    "maxResults": 500
}

Input Reference

What to Scrape

Parameter	Type	Default	Description
startUrls	string[]	["https://www.ss.lv/en/real-estate/flats/riga/centre/sell/"]	One or more SS.LV category pages, filtered-search pages, or individual ad pages. The easiest way: set your filters on ss.lv, then copy the address from your browser's address bar. Every page of results is followed automatically.
searchQueries	string[]	[]	Keywords to search across the whole of SS.LV, for example "audi", "dzīvoklis Rīgā", or "iphone". Every page of results is collected.
language	select	English	Which language version of SS.LV to read — English, Latvian, or Russian. This changes the wording of labels and categories; the ads are the same in all three. Any URL you paste is switched to this language automatically.

Output Detail

Parameter	Type	Default	Description
includeDetails	boolean	false	Open each ad's own page to add the full description, the complete photo gallery, map coordinates, the listing date, and every extra specification the seller filled in (rooms, area, floor, house type, car year and mileage, and so on). Leave off for fast, inexpensive runs that still return the title, price, thumbnail and results-page columns.

Options

Parameter	Type	Default	Description
maxResults	integer	100	The largest number of ads to collect in total, across all URLs and keywords. Set to 0 for no limit (an internal ceiling of 50,000 ads still applies). Ads are collected a full page at a time, so the final count may go slightly over this number.

Output

Each ad is one row. Here is a representative real-estate result with full details enabled:

{
    "adId": "51837462",
    "url": "https://www.ss.lv/msg/en/real-estate/flats/riga/centre/gjcdi.html",
    "title": "Sell, 2-room flat, 54 m², Riga, Centre, Latgales street",
    "category": "Flats",
    "categoryPath": "real-estate/flats/riga/centre/sell",
    "price": 64375,
    "priceCurrency": "EUR",
    "priceRaw": "64 375 € (1 497.09 €/m²)",
    "pricePerSqm": 1497.09,
    "city": "Riga",
    "district": "Centre",
    "street": "Latgales 109",
    "rooms": 2,
    "area": 54,
    "floor": 4,
    "totalFloors": 5,
    "houseType": "Brick",
    "series": "Pre-war",
    "latitude": 56.9421,
    "longitude": 24.1503,
    "listedAt": "2026-07-14T09:32:00",
    "description": "Spacious two-room apartment in the heart of Riga, renovated in 2023...",
    "listingColumns": [
        { "label": "Street", "value": "Latgales 109" },
        { "label": "Rooms", "value": "2" },
        { "label": "m²", "value": "54" },
        { "label": "Floor", "value": "4/5" },
        { "label": "Series", "value": "Pre-war" }
    ],
    "attributes": {
        "tdo_2": { "key": "tdo_2", "label": "House type", "value": "Brick" },
        "tdo_6": { "key": "tdo_6", "label": "Series", "value": "Pre-war" }
    },
    "images": [
        "https://i.ss.lv/gallery/6/153/38200/7639901.800.jpg",
        "https://i.ss.lv/gallery/6/153/38200/7639902.800.jpg"
    ],
    "imageThumbnail": "https://i.ss.lv/gallery/6/153/38200/7639901.t.jpg",
    "language": "en",
    "scrapedAt": "2026-07-17T12:00:00+00:00"
}

Core Fields — on every ad

Field	Type	Description
adId	string	The ad's own SS.LV id. Stable key for deduplication across runs.
url	string	Direct link to the ad page.
title	string	Ad title as shown in the results.
category	string	Leaf category, e.g. Flats or Cars.
categoryPath	string	Full category path, e.g. real-estate/flats/riga/centre/sell.
language	string	Which language the row was collected in (en, lv, or ru).
scrapedAt	string	ISO-8601 timestamp of the run.

Pricing — on every ad

Field	Type	Description
price	number	Parsed numeric price.
priceCurrency	string	Currency, usually EUR.
priceRaw	string	Price exactly as shown, preserving forms like "by agreement" or monthly rent.
pricePerSqm	number	Price per square metre, where the site shows it (real estate).

Results-Page Data — on every ad

Field	Type	Description
listingColumns	object[]	The label/value columns SS.LV shows on the results page (street, rooms, area, floor, and so on) — lightweight structured basics without a per-ad detail fetch.
imageThumbnail	string	Thumbnail image from the results row.

Location — with full details

Field	Type	Description
city	string	City.
district	string	District or neighbourhood.
street	string	Street and house number.
latitude	number	Latitude from the ad's map pin (ads with a map location).
longitude	number	Longitude from the ad's map pin (ads with a map location).

Property & Category Specs — with full details

Field	Type	Description
rooms	number	Number of rooms (real estate).
area	number	Area in m² (real estate).
floor	number	Floor number.
totalFloors	number	Total floors in the building.
houseType	string	Building material or house type.
series	string	Building series (real estate).
attributes	object	Every seller-filled specification, keyed by its stable SS.LV field id — carries per-category data like car year, mileage, engine and gearbox, or job details, without a fixed schema.

Rich Detail — with full details

Field	Type	Description
description	string	Full ad body text.
images	string[]	The complete photo gallery as full-size image URLs.
listedAt	string	ISO-8601 date and time the ad was listed.

Fields under "with full details" are populated when includeDetails is enabled; on the fast default run each ad still returns its core fields, pricing, results-page columns and thumbnail.

Tips for Best Results

• Pre-filter on SS.LV, then copy the URL — set the region, price band and other filters directly on ss.lv, then paste the resulting address. The actor keeps every filter you applied, so you collect exactly the slice you want.
• Point at a category that lists ads, not a top-level index — an index page (like a section landing page) has no ads of its own; give the actor a leaf category or a filtered search and it goes straight to the listings.
• Turn on full details for description, coordinates, listing date and specs — leave it off for fast, low-cost runs, and switch it on when you need geo data, the listing date, the full gallery, or the structured attributes map.
• Set maxResults to a multiple of 30 — SS.LV serves 30 ads per page and the run overshoots to the next page boundary rather than trimming, so round numbers of pages give you a predictable count.
• Get structured basics for free — even with details off, listingColumns carries the street, rooms, area and floor SS.LV shows on the results page, so you get usable structure without paying for a per-ad detail fetch.
• Match the language to the labels you want — the ads are identical across English, Latvian and Russian; only the field labels change, so pick the language your downstream tools expect.
• Combine keywords and URLs in one run — mix a keyword search with several category URLs to assemble a broad, cross-section dataset in a single pass.

Pricing

From $3.00 per 1,000 results — full coverage of every SS.LV section at well below the going rate for a real-estate-only alternative. Bronze, Silver, and Gold subscribers pay progressively less; the table below shows total cost at each discount tier.

Results	No discount	Bronze	Silver	Gold
100	$0.36	$0.34	$0.32	$0.30
1,000	$3.60	$3.40	$3.20	$3.00
10,000	$36.00	$34.00	$32.00	$30.00
100,000	$360.00	$340.00	$320.00	$300.00

A "result" is one ad row in the output dataset. No compute or time-based charges — you pay per result, plus a small fixed per-run start fee.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This actor is designed for legitimate market research, price monitoring, and data analysis. You are responsible for complying with applicable laws and SS.LV's Terms of Service. Collect only publicly available information, respect personal data and privacy regulations, and do not use extracted data for spam, harassment, or any unlawful purpose.