📦 OLX Scraper

Scrape classified listings from OLX by keyword — title, description, price, city/district/region, seller (private or business), attributes, photos and listing URL — across OLX country sites (Poland, Portugal, Romania, Bulgaria, Ukraine and more). Powered by OLX's own JSON API (with Chrome TLS impersonation), so it's fast and reliable: no browser, no login, no API key.

Built for real-estate, car and product research, price monitoring, reselling and lead generation across Central & Eastern Europe. Export to JSON/CSV/Excel, run on a schedule, call via API, or connect to Make, Zapier or n8n.

🔎 What is the OLX Scraper?

Give it a keyword and a country, and it returns matching listings as structured rows, paginated to your requested limit — with price, location, seller and attributes.

What data does it extract?

• Title and description
• Price, currency and negotiable flag
• City, district and region
• Seller name and private vs business flag
• Attributes (rooms, area, condition, etc.)
• Photos count and main image URL
• Category, created time and listing URL

⬇️ Input

Field	Type	Description
query	string	Keyword to search, e.g. mieszkanie.
country	string	OLX country: pl, pt, ro, bg, ua, kz, uz.
maxResults	integer	Max listings to return. Default 50.
useApifyProxy	boolean	Use residential proxy if you hit blocks.

Example input

{
  "query": "mieszkanie",
  "country": "pl",
  "maxResults": 100
}

⬆️ Output

One record per listing:

{
  "id": 744570745,
  "title": "Mieszkanie 2 pokoje, Łódź Bałuty",
  "description": "Przytulne mieszkanie po remoncie...",
  "price": 2200,
  "currency": "PLN",
  "price_label": "2200 zł",
  "negotiable": false,
  "city": "Łódź",
  "district": "Bałuty",
  "region": "Łódzkie",
  "is_business": false,
  "seller_name": "Anna",
  "attributes": {"furniture": "Tak", "rooms": "2", "area": "48 m²"},
  "photo_count": 15,
  "image_url": "https://ireland.apollo.olxcdn.com/.../image.jpg",
  "url": "https://www.olx.pl/d/oferta/...",
  "source": "olx.pl",
  "query": "mieszkanie"
}

💡 Use cases

• 🏠 Real-estate research — track rental/sale listings and prices by city.
• 🚗 Car & product research — monitor inventory and pricing.
• 📉 Price monitoring — schedule runs and detect changes.
• 🎯 Lead generation — find private sellers and businesses by category.

❓ FAQ

Do I need an API key or login? No — it uses OLX's public JSON API.

Which countries are supported? Poland, Portugal, Romania, Bulgaria, Ukraine, Kazakhstan and Uzbekistan.

Can I search any category? Yes — any keyword works (property, cars, electronics, …).

Do I get the price and location? Yes — price with currency, plus city, district and region.

Private vs business sellers? Yes — a business flag and seller name are included.

How does pricing work? Pay per listing returned. No subscription.

Is it legal? It collects publicly available listings. Scrape responsibly, respect OLX's terms, and follow privacy/anti-spam laws (GDPR) when contacting sellers.

⚙️ How it works

The OLX Scraper talks directly to OLX's own JSON API and returns clean, structured rows — there is no headless browser, no login and no API key to juggle. That keeps each run fast, cheap and dependable, and it's why the actor keeps passing its automated daily health check instead of breaking on an anti-bot wall. You point it at a search (and optional filters), tell it how many results you want, and it paginates through the results automatically until it reaches your limit, de-duplicating as it goes. Whether you need 20 rows for a quick check or thousands for a full market sweep, the same input shape works — only maxResults changes.

👥 Who uses OLX data?

Listings from OLX across Poland, Portugal, Romania and more are valuable to resellers, market researchers, real-estate and lead-gen teams. A market analyst tracks how prices and inventory move week over week; an agency builds targeted contact lists and enriches its CRM; an investor screens for under-priced stock; a proptech or AI product feeds the structured data into a model, dashboard or app. Because every record is plain JSON with consistent field names, it drops straight into whatever stack you already run — spreadsheets, a database, a BI tool or an LLM pipeline — with no custom parsing.

📤 Export, schedule & integrate

Every run is saved to a dataset you can export to JSON, CSV, Excel, XML or RSS, or pull through the Apify API. Wire it into Make, Zapier, n8n, Google Sheets, Slack or your own database, run it on a schedule (hourly, daily or weekly) so your data stays fresh, and call it from AI agents through the Apify MCP server. Combine it with the related scrapers below to cover several markets from one workflow.

💡 Tips for best results

• Start with a small maxResults to preview the shape of the data, then scale up.
• Narrow the search (location, type, price range) for more relevant, higher-quality rows.
• Schedule recurring runs and diff the output to catch price drops and new listings early.
• Always respect the source's terms of use and local privacy/anti-spam law (e.g. GDPR) when storing or contacting anyone.

❓ More FAQ

How fresh is the data? It is scraped live on every run, so it reflects what is on OLX at that moment. Schedule runs to keep a fresh copy.

Can I get more than the default number of results? Yes — raise maxResults; the actor paginates automatically up to the amount you ask for.

Can I run it automatically? Yes — use Apify Schedules (cron) to run it hourly, daily or weekly with no manual steps.

Are duplicates removed? Yes — records are de-duplicated within each run by their unique id.

Which export formats are supported? JSON, CSV, Excel, XML and RSS, plus programmatic access via the Apify API.

Can I use it with AI agents or LLMs? Yes — the dataset is available through the Apify API and the Apify MCP server, so agents can call it directly.

🔗 You might also like

• Marktplaats Scraper — Dutch marketplace data.
• Subito Scraper — Italian marketplace data.
• Kleinanzeigen Scraper — German marketplace data.

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