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Sahibinden Real Estate Scraper — Sahibinden.com | Lagic

Built For

Current Turkish Real Estate Market Data

Curated by Lagic·Verified working

Configure Agent

URLs of Sahibinden.com real estate category pages. Example:

Maximum number of listings to scrape. Leave empty to scrape all available listings.

If true, it will open each listing's detail page to extract description, all properties, photos, and owner info. If false, it only extracts basic info from the list page.

Maximum number of pages to open concurrently. High values increase the risk of getting banned. Recommended: 3-5.

Optional: BaseRow API token to save data directly to a BaseRow table.

Optional: BaseRow Table ID.

Optional: BaseRow Database ID.

Paste your active Session Cookies JSON (exported from your browser using EditThisCookie or similar) to bypass the mandatory Sahibinden.com login screen.

Results to deliver

800 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

Lagic Proxy

Country auto-rotated. Need a specific region? Contact support.

Pricing

8 credits per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Unique listing identifierProperty priceListing dateMain image URLLocation detailsPrice currency
10095$19.992026-04-05https://...Value...$19.99
10092$19.992026-04-05https://...Value...$19.99
..................
Exports as:CSVXLSXJSON

Overview

This tool extracts real estate listings from Sahibinden.com, Turkey's leading classifieds platform, providing details like price, location, title, and listing URL. It's designed for market analysis, competitive intelligence, and lead generation in the Turkish property sector.

The Sahibinden Real Estate Scraper is built for anyone needing structured data from Turkey's leading classifieds platform, Sahibinden.com. It allows you to gather up-to-date information on properties for sale or rent, directly from category pages. By providing a **Start URL** from any Sahibinden.com real estate category, you can initiate a data collection process. The tool is flexible, allowing you to scrape a specific number of listings using the **Max Items** input, or to collect all available listings if left empty. For a deeper dive, enable the **Include Details** option. This instructs the tool to visit each individual listing page, extracting a richer set of data. This includes the full property description, all listed features and amenities, associated photos, and critical owner contact information. If `Include Details` is set to `false`, the tool will only gather basic information visible on the search results page, such as the listing title, price, and a primary image. To ensure reliable data extraction from Sahibinden.com, which often employs anti-scraping measures, the tool requires **RESIDENTIAL proxies**. You can configure these through the **Proxy Configuration** settings. Using too many concurrent requests can trigger blocks, so a **Max Concurrency** of 3-5 is recommended to balance speed and reliability. For users who need to bypass login screens, the **Session Cookies (JSON)** input allows you to provide active browser session cookies. This is particularly useful if certain content or listing types on Sahibinden.com are only accessible after logging in. The output provides clean, structured data points for each listing, ready for analysis or integration into other systems. Optional integration with **BaseRow** is available if you provide the necessary API token, table ID, and database ID, allowing direct data transfer.

Key Capabilities

  • Unique listing identifier
  • Property price
  • Listing date
  • Main image URL
  • Location details
  • Price currency
  • Raw price string
  • Timestamp of when the data was scraped
  • Source URL of the listing
  • Listing title
  • Direct URL to the listing
  • Real estate market trend analysis for specific Turkish cities or districts.
  • Competitive pricing research for property developers and agencies.
  • Lead generation for real estate agents by identifying new listings or specific property types.
  • Investment opportunity identification by tracking property values and availability.
  • Academic research on Turkish urban development and housing markets.
  • Monitoring new property developments or rental supply in target regions.
  • Building a database of property listings for comparison or historical tracking.

Field Dictionary

How To Run This Extractor

1

Navigate to the tool and paste the Sahibinden.com real estate category URLs you want to scrape into the "Start URLs" field.

2

Optionally, specify the maximum number of listings to extract or leave it empty to collect all available properties.

3

Decide if you need detailed information, photos, and owner contact by setting "Include Details" to `true`.

4

Configure your residential proxy settings under "Proxy Configuration" to ensure reliable access to Sahibinden.com.

5

If necessary, provide your active Sahibinden.com session cookies in JSON format to bypass any login requirements.

6

Run the tool, and once completed, download your structured real estate data in your preferred format.

Frequently Asked Questions

What technical skills do I need to use this tool?
No coding is required. You provide Sahibinden.com category URLs and configure options through a user-friendly interface.
What formats can I export the data in?
Is using this tool compliant with data privacy regulations?
Can I scale my data collection efforts?
Is this tool suitable for client work?
How does this tool handle anti-scraping measures?
How reliable is the data extracted?
Can I schedule runs to get fresh data regularly?
How fresh is the data I receive?
How predictable are the costs?
What if I only need basic listing information without all the details?
Why do I need to provide Session Cookies?