Njuskalo Scraper

Reading Njuskalo by hand means scrolling page after page and copying out each ad's title, price, and location one at a time. This scraper skips all of that. Paste a category or search URL from njuskalo.hr and every ad comes back as a tidy row, with price, area, posted date, seller, and photos already split into fields. It runs fast, costs little, needs no code, and you pay only for the ads you pull.

What you get

Each ad comes back as one row, grouped into three kinds of data:

• The ad itself — adId, adTitle, adUrl, categoryName, adBadges, and the full adDescription when Njuskalo shows it
• Price and place — priceLabel, currencyCode, areaName, publishedDate
• Seller and media — sellerName, coverImage, imageLinks, plus a collectedAt timestamp and an errorMessage field for any row that could not be read

Quick start

1. Open njuskalo.hr, pick a category or run a search, and apply your filters.
2. Copy the URL from the address bar.
3. Hit Try for free, then paste that URL into Ad listing URLs.
4. Set Ads per URL to cap how many ads you pull from each link.
5. Press Start, then download the results as JSON, CSV, Excel, or XML.

Use cases

• Price research — track what cars, phones, or apartments are asking across a category and watch where prices move
• Market sizing — count how much stock is live in a category or region at any moment
• Resale and arbitrage — spot underpriced ads early and compare them against the wider listing pool
• Lead building — gather sellers and their areaName for a category you work in
• Dashboards — feed live Njuskalo data into your own sheet, BI tool, or app

Input

Field	Type	Required	Description
targetUrls	array of strings	Yes	njuskalo.hr category or search URLs to scrape; each one runs through full pagination. Prefilled with an apartments-for-sale search.
resultsLimit	integer	No	How many ads to pull from each URL. Default 50.
timeoutSeconds	integer	No	Seconds to wait on each request before it times out. Default 45.

Example input

{
    "targetUrls": [
        "https://www.njuskalo.hr/prodaja-stanova"
    ],
    "resultsLimit": 50,
    "timeoutSeconds": 45
}

Output

Every ad on the results page becomes one row, with pagination handled for you up to your limit. Fields Njuskalo does not show for a given ad come back absent rather than guessed.

Example output

{
    "adId": "47215983",
    "adTitle": "Prodaja stana, Zagreb, Trešnjevka, 62 m2",
    "priceLabel": "159.000 €",
    "currencyCode": "EUR",
    "areaName": "Zagreb, Trešnjevka",
    "publishedDate": "2026-06-24",
    "adUrl": "https://www.njuskalo.hr/nekretnine/prodaja-stana-zagreb-tresnjevka-oglas-47215983",
    "coverImage": "https://www.njuskalo.hr/image-thumbs/orig/example-cover.jpg",
    "adDescription": "Svijetao trosoban stan na drugom katu, blizu tramvaja i tržnice.",
    "sellerName": "Agencija Dom Plus",
    "imageLinks": [
        "https://www.njuskalo.hr/image-thumbs/orig/example-1.jpg",
        "https://www.njuskalo.hr/image-thumbs/orig/example-2.jpg"
    ],
    "categoryName": "Nekretnine",
    "adBadges": ["Istaknuto", "Provjereno"],
    "collectedAt": "2026-06-30T09:15:00.000000+00:00",
    "errorMessage": null
}

Output fields

Field	Type	Description
adId	string	Njuskalo's own identifier for the ad
adTitle	string	Headline of the ad as shown on Njuskalo
priceLabel	string	Asking price as printed, including the currency symbol
currencyCode	string	Three-letter currency code, usually EUR
areaName	string	Town or region tied to the ad or seller
publishedDate	string	When the ad went live or was last bumped
adUrl	string	Direct link to the ad page on Njuskalo
coverImage	string	Link to the ad's preview thumbnail
adDescription	string	Full body text of the ad when available
sellerName	string	Display name or handle behind the ad
imageLinks	array	Every photo URL from the ad gallery
categoryName	string	Njuskalo category the ad sits under
adBadges	array	Promo labels such as Top, Istaknuto, or Provjereno
collectedAt	string	ISO 8601 timestamp of when the row was captured
errorMessage	string	Reason an ad could not be read; null when clean

Tips for best results

• Filter on njuskalo.hr first. A tighter search URL (category, region, price band) gives you a cleaner, more relevant dataset.
• Start small with resultsLimit. Pull 50 ads to confirm the output fits your pipeline, then raise it for the full run.
• Any category works. Cars, real estate, phones, jobs — paste the URL for whichever section you need.
• Some fields are sparse. adDescription and imageLinks only appear when Njuskalo publishes them; those rows still carry everything else.
• Raise timeoutSeconds if large result pages start timing out.

How can I use Njuskalo ad data?

How can I use the Njuskalo Scraper to track classified ad prices? Paste a category or search URL and run it on a schedule. Each row carries priceLabel, currencyCode, adTitle, and publishedDate, so you can chart asking prices over time and catch new ads the day they post.

How can I export Njuskalo listings to a spreadsheet? Run the scraper, then download the dataset as CSV or Excel. Every ad arrives as a structured row — title, price, area, seller, photos — so it drops straight into a sheet with no cleanup.

How can I build a Croatian classifieds dataset for market research? Feed in one or more category URLs, set resultsLimit to the volume you want, and let pagination do the rest. The result is a tidy database of ads (adId, areaName, categoryName, sellerName) you can slice by region or category.

How can I monitor a specific Njuskalo category for new listings? Point targetUrls at the category you care about and rerun it regularly. Compare the adId values between runs to surface only the ads that are new since last time.

Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses or private contact information. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

Support

Questions, feature requests, or a field you'd like added? Reach out at data.apify@proton.me and we'll get back to you.