# Changelog of Sahibinden Scraper - Turkish Property Listings & Agent Contacts (`sian.agency/sahibinden-property-scraper`) Actor

- **URL**: https://apify.com/sian.agency/sahibinden-property-scraper/changelog.md
- **Full Actor documentation**: https://apify.com/sian.agency/sahibinden-property-scraper.md

## Changelog

All notable changes to the Sahibinden Scraper will be documented in this file.

### \[2026-09-06]

#### 🎉 Sahibinden Scraper — Launch!

- **Paste-a-URL search** — set your filters on sahibinden.com, copy the address-bar URL, and get every satılık daire or kiralık daire listing behind it as clean rows.
- **All of Turkey, every real-estate category** — satılık and kiralık konut, arsa, iş yeri, devremülk and turistik tesis, verified against four different category layouts.
- **Agent phone numbers included** — contact name, agency, sahibinden storefront, licence number and mobile number arrive with the detail record, at no extra charge.
- **The full 25-field attribute table** — net m², building age, floor, heating, deed status, monthly dues, furnished, parking and the rest, plus the raw attribute set exactly as published.
- **Map coordinates and full photo galleries** — latitude and longitude on every detail row, and the complete image set rather than the thumbnail.
- **50 listings per request** — a 1,000-listing sweep is 20 requests, which is what keeps the price at $3.99 per 1,000 listings.
- **Six orderings** — site default, newest first, cheapest first, most expensive first, smallest m² first or largest m² first.
- **Turkish formats handled properly** — prices read out of the 3.650.000 TL form, room counts kept as 2+1, listing dates read from Turkish month names.

#### 💎 User Benefits

- Turkish property data at $3.99 per 1,000 listings, with the price falling further on higher Apify plans.
- The agent's phone number is part of the detail record instead of a second charge on top of it.
- No sahibinden account, no key to manage, no filter language to learn — the URL you already use is the input.
- Rows land as JSON, CSV or Excel, so they drop straight into a spreadsheet, a database or a CRM.
- Failed items are never charged, and every run ends with a report showing what came back and what it cost.

#### 🎯 Use Cases

- Estate agency owners building a contact list of the agencies listing in their districts this week.
- Buy-to-let investors running satılık and kiralık over the same district to get gross yield from one source.
- Buyer's agents scheduling a newest-first run daily and diffing on listing ID to catch new stock first.
- Valuation surveyors pulling comparables with building age, floor, deed status and coordinates on each row.
- Developers screening satılık arsa across a province by area, price per m² and deed status before a site visit.
- Proptech analysts tracking listing counts and prices per city and category to build a Turkish housing supply index.