We extract property listings, vehicle specifications, pricing signals, and seller profiles from Sahibinden. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Real Estate (Emlak) objects from sahibinden.com. All fields typed and schema-versioned.
"listing_id": "1093847192", "title": "Kadikoy Moda'da Deniz Manzarali 3+1", "price": 12500000.0, "currency": "TRY", "city": "Istanbul", "district": "Kadikoy", "room_count": "3+1", "gross_sqm": 145, "building_age": "5-10"
| # | listing_id | title | category | price | currency | city |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Vehicles (Vasita) objects from sahibinden.com. All fields typed and schema-versioned.
"listing_id": "1098234567", "brand": "Volkswagen", "series": "Golf", "model": "1.5 TSI Impression", "year": 2021, "km": 45000, "fuel_type": "Benzin", "price": 1350000.0, "color": "Beyaz"
| # | listing_id | title | brand | series | model | year |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & History objects from sahibinden.com. All fields typed and schema-versioned.
"listing_id": "1093847192", "current_price": 12500000.0, "original_price": 13000000.0, "price_drop_pct": 3.8, "listing_date": "2023-09-15", "days_on_market": 24, "status": "Active"
| # | listing_id | current_price | original_price | price_drop_pct | currency | listing_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Seller & Agency Data objects from sahibinden.com. All fields typed and schema-versioned.
"seller_id": "8472910", "seller_name": "Ahmet Yilmaz", "account_type": "Corporate", "agency_name": "Yilmaz Emlak", "active_listings": 42, "verified_account": true, "location_city": "Istanbul"
| # | seller_id | seller_name | account_type | agency_name | account_creation_date | total_listings |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from sahibinden.com. All fields typed and schema-versioned.
"keyword": "satilik daire", "category_path": "Emlak > Konut > Satilik", "position": 4, "listing_id": "1093847192", "price": 12500000.0, "promoted_badge": true, "urgent_badge": false
| # | keyword | category_path | page_number | position | listing_id | title |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Sahibinden scraper handles every layer of the platform. Storefront listings, dynamic pricing, agency intelligence, and vehicle specifications with anti-bot circumvention built in.
Title, attributes, location, square meterage, and heating types scraped at the listing level.
Extract detailed automotive data including brand, model, mileage, transmission, and damage history records.
Capture current price, historical price drops, and listing status changes timestamped per crawl.
Monitor agency portfolios, active listing counts, and account verification status.
Track promoted listings and organic search positions across primary and sub-categories.
Extract precise city, district, and neighborhood data for spatial analysis and mapping.
Bypass strict Cloudflare protections and custom rate limits using residential ISP proxies and session management.
Maintain a time-series database of closed and sold listings to calculate true market clearing prices.
Configure continuous pipelines at daily or hourly cadences with change-detection diffing.
Brief in. Clean data out.
Provide category URLs, geographic filters, or agency IDs. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, session management, and CAPTCHA handling for sahibinden.com.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Sahibinden employs aggressive anti-scraping measures and strict rate limits. Here is how we maintain pipeline stability.
Sahibinden blocks non-Turkish IPs and data center proxies immediately. Our crawlers use localized Turkish residential ISP proxies with realistic browser fingerprints.
The platform enforces strict request quotas per session. We distribute load across thousands of unique sessions with randomized timing delays.
Phone number reveals and dynamic map coordinates require JavaScript execution. We run full browser sessions to interact with these elements.
Category attributes vary wildly between real estate and vehicles. Our schema normalisation engine adapts to varying DOM structures automatically.
For large city-wide sweeps, we maintain a hash index of last-seen values. Subsequent runs only push diffs to reduce compute cost and storage bloat.
PropTech firms ingest asking prices and time-on-market metrics to build automated valuation models (AVMs).
Dealerships and insurance companies track vehicle depreciation curves and market averages by make and model.
Analysts track housing supply volume across districts to identify macro-economic trends and investment opportunities.
Real estate franchises audit competitor portfolios, listing quality, and market share per neighborhood.
Service providers target new homeowners or vehicle buyers based on recently closed listings.
Researchers correlate housing density and price fluctuations with infrastructure developments.
"Sahibinden holds the definitive record of the Turkish property and automotive markets. Accessing it requires navigating some of the strictest bot protections in the region."
Most teams underestimate the investment required to extract data from Sahibinden. Reliable scraping requires localized Turkish residential proxies, full JavaScript rendering, CAPTCHA handling, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis.
Everything supported by our sahibinden.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and retry logic. Playwright handles JavaScript rendering and interaction flows.
We maintain pools of Turkish residential ISP proxies. Rotation happens per-request with sticky sessions to avoid geographic blocks.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About sahibinden.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated listing data. We do not extract personal data beyond what is publicly listed by sellers. Clients should review Sahibinden's Terms of Service and consult legal counsel for specific use cases.
We use Turkish residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for 403 blocks in real time and trigger pool rotation automatically.
Yes. Phone numbers on Sahibinden require a user click to reveal. Our Playwright integration executes the necessary JavaScript interaction to render and extract the contact information.
Full category refreshes at daily cadence complete within a 6-12 hour window. Hourly pipelines can be configured for specific high-velocity districts or vehicle models.
Yes. If the seller has included Tramer information in the structured attributes or description, our parsers extract and normalise this data.
Our packages start at defined category or regional sweeps (typically 10,000-50,000 listings) with weekly delivery. Contact us with your specific data requirements for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off real estate dataset or a continuous vehicle pricing feed, we scope, build, and operate the pipeline. Tell us what you need.
