SS.com Scraper

Scrape classified listings from SS.com (also known as SS.lv) -- Latvia's largest and most popular classifieds platform. Extract cars, real estate, electronics, jobs, and more across 12 categories. No login or cookies required.

Why use this actor?

SS.com is the dominant classifieds marketplace in Latvia with hundreds of thousands of active listings. It covers every major category from vehicles and real estate to jobs, electronics, and agriculture. This actor navigates the site using a headless browser, handles pagination, and extracts structured data from both listing pages and individual detail pages.

Use cases:

• Car market analysis -- monitor used car prices across all brands in Latvia's largest vehicle marketplace
• Real estate monitoring -- track apartment and house listings in Riga, Jurmala, and across Latvia
• Price intelligence -- compare prices for electronics, furniture, and household goods in the Baltic market
• Job market research -- extract vacancy listings and salary data from Latvia's top jobs board
• Lead generation -- identify active sellers, dealers, and businesses advertising on SS.com
• Market research -- analyze listing volumes, pricing trends, and supply across the Latvian market
• Cross-border sourcing -- find deals on vehicles, electronics, and goods in Latvia for Baltic region buyers

No cookies, no login, no session management -- configure your category and get back structured JSON.

Input

Field	Type	Required	Description
searchQuery	String	No	Search term (e.g. "BMW", "iPhone", "dzivoklis")
category	String	No	Main category: transport, real-estate, electronics, work, construction, clothes-footwear, home-stuff, production-work, for-children, animals, agriculture, entertainment
subcategory	String	No	Subcategory path (e.g. "cars", "flats/riga", "phones/apple-iphone")
transactionType	String	No	Filter: "sell" (default), "buy", "hand_over", "all"
startUrls	Array	No	Direct SS.com URLs to scrape (overrides category settings)
maxResults	Integer	No	Maximum listings to return (default: 100, max: 10,000)
scrapeDetails	Boolean	No	Visit detail pages for full data (default: true)
proxyConfiguration	Object	No	Proxy settings for reliable access

Output

Each result contains:

Field	Type	Example
listingTitle	String	"BMW 530d 258zs. , automātiskā ātrumkārba"
price	Number	6990
currency	String	"EUR"
location	String	"Riga"
category	String	"transport"
attributes	Object	{"Year of issue": "2012", "Engine": "3.0 diesel", "Run, km": "335 000"}
sellerType	String	"private" or "company"
imageUrl	String	Image URL
url	String	Full listing URL
listingDescription	String	Full description text from the detail page
postedDate	String	"09.06.2026"
scrapedAt	String	ISO 8601 timestamp

Example output

{
    "listingTitle": "BMW 530d 258zs., automātiskā ātrumkārba",
    "price": 6990,
    "currency": "EUR",
    "location": "Tukums and reg.",
    "category": "transport",
    "attributes": {
        "Year of issue": "2012 june",
        "Engine": "3.0 diesel",
        "Gearbox": "Automatic",
        "Run, km": "335 000",
        "Color": "Grey metalic",
        "Body type": "Sedan",
        "Checkup": "07.2027"
    },
    "sellerType": "company",
    "imageUrl": "https://i.ss.com/gallery/8/1508/376885/75376881.800.jpg",
    "url": "https://www.ss.com/msg/en/transport/cars/bmw/530/cdofkd.html",
    "listingDescription": "Tikko no Vācijas, pilna servisa vēsture...",
    "postedDate": "09.06.2026",
    "scrapedAt": "2026-06-09T12:00:00.000Z"
}

Tips for best results

Browse by category (default): Set category to "transport" and subcategory to "cars" to get all car listings. Works well for broad market scans.

Use start URLs for specific pages: If you know the exact SS.com page you want (e.g. BMW listings in Riga), paste the URL into startUrls for precise targeting.

Disable detail scraping for speed: Set scrapeDetails to false to only extract data from list pages. Much faster but returns less data per listing.

Transaction types matter: SS.com separates "sell", "buy", and "hand_over" (rent) listings. Default is "sell" which shows items for sale.

Categories available

Category	Description	Example subcategories
transport	Cars, trucks, motorcycles, bicycles	cars, cargo, motorcycles, bicycles
real-estate	Apartments, houses, land, offices	flats, houses, land, offices
electronics	Phones, computers, audio, TV	phones, computers, audio-video
work	Jobs, vacancies, courses, services	vacancies, job-search, courses
construction	Building materials, tools, plumbing	building-materials, tools
clothes-footwear	Men's, women's, children's clothing	womens-clothes, mens-clothes
home-stuff	Furniture, health, antiques, gifts	furniture, health-beauty
for-children	Toys, baby items, school supplies	toys, clothing, carriages
animals	Dogs, cats, birds, exotic animals	dogs, cats, fish, birds
agriculture	Machinery, livestock, seeds, gardening	machinery, animal-husbandry
entertainment	Sports, music, books, tourism	sports, music, books

Cost estimate

It costs $0.02 per run plus $0.002 per result — about $0.22 per 100 results — regardless of whether detail page scraping is on.

Limitations

• SS.com content is primarily in Latvian. The English version (/en/) has translated navigation but listing content remains in Latvian.
• Some attribute names may vary between categories (cars have "Engine", real estate has "Rooms").
• The attributes field is a flexible key-value object that adapts to whatever data the listing contains.
• Data is scraped from the public website and structure may change without notice.
• Respect the website's terms of service and use responsibly.

How to scrape SS.com data

1. Go to this actor's page on the Apify Store.
2. Click Try for free to open it in Apify Console.
3. Choose a category (transport, real-estate, electronics, etc.) and optionally enter a search query.
4. Set the maximum number of results and adjust proxy settings if needed.
5. Click Start and wait for the run to finish.
6. Download your data in JSON, CSV, Excel, or connect it to your workflow via API.

You can also schedule regular runs, set up webhooks for real-time notifications, or integrate the results directly into your application using the Apify API.