🇷🇴 Storia Scraper

Scrape property listings from Storia.ro — Romania's largest real-estate portal — for sale or to rent. Get title, price, price per m², area, rooms, floor, full address, agency vs private, images and listing URL as clean structured rows. Powered by Storia's data with Chrome TLS impersonation, so it's reliable: no browser, no login, no API key.

Built for Romanian real-estate research, lead generation, price tracking and market analysis. Export to JSON/CSV/Excel, run on a schedule, call via API, or connect to Make, Zapier or n8n.

🔎 What is the Storia Scraper?

Choose a transaction (sale/rent), property type and optional location, and it returns matching Romanian properties as structured rows, paginated to your requested limit.

What data does it extract?

• Title and property type (apartment, house, …)
• Price, price per m² (with currency)
• Area (m²), rooms and floor
• Full address: street, city, province
• Private owner vs agency (and agency name)
• Image, image count and listing URL

⬇️ Input

Field	Type	Description
transaction	string	vanzare (sale) or inchiriere (rent).
estate	string	apartment, house, studio, land, commercial…
location	string	Optional region/city slug (empty = all Romania).
maxResults	integer	Max listings to return. Default 50.

Example input

{
  "transaction": "inchiriere",
  "estate": "apartament",
  "location": "bucuresti",
  "maxResults": 100
}

⬆️ Output

One record per property:

{
  "id": 87654321,
  "title": "Apartament 2 camere, Bucuresti",
  "url": "https://www.storia.ro/ro/oferta/...",
  "estate": "FLAT",
  "transaction": "RENT",
  "price": 500,
  "price_per_m2": 9,
  "currency": "EUR",
  "area_m2": 55,
  "rooms": 2,
  "city": "București",
  "province": "București",
  "is_private_owner": true,
  "agency": null,
  "image_url": "https://.../image.jpg"
}

💡 Use cases

• 🏠 Real-estate research — track Romanian sale/rental prices and inventory.
• 🎯 Lead generation — build agency and seller lists by city.
• 📉 Price monitoring — schedule runs and detect changes.
• 📊 Market analysis — analyze price/m² by region and type.

❓ FAQ

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

Sale and rent? Yes — set transaction to vanzare or inchiriere.

Which property types? Apartments, houses, studios, land, commercial and more.

Do I get price per m²? Yes — plus total price and area.

Private vs agency? Yes — a private-owner flag and agency name are included.

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

Is it legal? It collects publicly available listings. Scrape responsibly, respect Storia's terms, and follow GDPR.

⚙️ How it works

The Storia Scraper talks directly to Storia's data feed 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 Storia data?

Property listings from Storia across Romania are valuable to estate agents, investors, proptech teams and lead-gen agencies. 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 property 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 Storia 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

• Otodom Scraper — Polish real estate.
• Imovirtual Scraper — Portuguese real estate.
• Immoweb Scraper — Belgian real estate.

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