We extract residential, commercial, and land listings, agent intelligence, and Emlak Endeksi valuation data from Hepsiemlak. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Postgres 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 Property Listings objects from hepsiemlak.com. All fields typed and schema-versioned.
"listing_id": "12345678", "title": "Kadikoy Moda 3+1 Deniz Manzarali Daire", "price": 14500000, "currency": "TRY", "city": "Istanbul", "district": "Kadikoy", "room_count": "3+1", "gross_sqm": 145, "building_age": "5-10", "heating_type": "Kombi (Dogalgaz)"
| # | listing_id | title | price | currency | city | district |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Valuation objects from hepsiemlak.com. All fields typed and schema-versioned.
"listing_id": "12345678", "current_price": 14500000, "original_price": 15000000, "price_drop_pct": 3.33, "price_per_sqm": 100000, "dues_amount": 1500, "emlak_endeksi_value": 14250000, "roi_years": 18
| # | listing_id | current_price | original_price | price_drop_pct | price_per_sqm | emlak_endeksi_value |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Location & Map objects from hepsiemlak.com. All fields typed and schema-versioned.
"listing_id": "12345678", "latitude": 40.9801, "longitude": 29.0234, "city": "Istanbul", "district": "Kadikoy", "neighborhood": "Caferaga", "nearby_transit": "['Moda Tram', 'Kadikoy Metro']", "distance_to_center": "1.2 km"
| # | listing_id | latitude | longitude | city | district | neighborhood |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Agent & Agency objects from hepsiemlak.com. All fields typed and schema-versioned.
"agent_id": "A98765", "agent_name": "Ahmet Yilmaz", "agency_name": "Moda Emlak Danismanlik", "agency_id": "AG1234", "mobile_number": "+905551234567", "active_listings_count": 42, "joined_date": "2018-04-12", "office_address": "Caferaga Mah. Moda Cad. No:15 Kadikoy / Istanbul"
| # | agent_id | agent_name | agency_name | agency_id | phone_number | mobile_number |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Features & Amenities objects from hepsiemlak.com. All fields typed and schema-versioned.
"listing_id": "12345678", "interior_features": "['Balkon', 'Ebeveyn Banyosu', 'Parke Zemin', 'Klima']", "exterior_features": "['Asansor', 'Isi Yalitim', 'Su Deposu']", "view": "['Deniz', 'Sehir']", "parking_type": "Kapali Otopark", "security_features": "['7/24 Guvenlik', 'Kamera Sistemi']"
| # | listing_id | interior_features | exterior_features | neighborhood_features | transportation | facade |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Hepsiemlak scraper handles dynamic map searches, heavily paginated listing categories, agent directories, and regional index data with built-in proxy rotation and anti-bot circumvention.
Extract flats, villas, offices, and retail spaces with category-specific attributes like room counts, gross/net square metres, and heating types.
Capture zoning status, floor area ratio (KAKS/TAKS), and parcel numbers for land listings across all Turkish provinces.
Monitor asking prices, rent drops, and per-square-metre valuations across regions. Timestamped per crawl.
Scrape regional property index data, average listing durations, and historical pricing trends by district and neighborhood.
Map the Turkish real estate broker network, tracking listing volumes, contact details, and market share per agency.
Extract precise latitude/longitude coordinates and structural boundary metadata directly from internal map APIs.
Normalise unstructured interior, exterior, and building features into queryable arrays for advanced filtering.
Capture high-resolution image URLs, floor plans, and flags for 3D virtual tour availability.
Track property time-on-market, status changes, and price adjustments over time using hash-based state diffing.
Run broad searches across specific cities like Istanbul, Ankara, or Izmir at scale without hitting pagination caps.
Brief in. Clean data out.
Provide target cities, property types, or agency IDs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for hepsiemlak.com.
Schema validation, null-rate checks, price-outlier detection, and sample listings before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Postgres on agreed cadence.
Hepsiemlak limits pagination depth, monitors request velocity, and obfuscates agent contact details. Here is how we maintain pipeline stability.
We route requests through Turkish residential ISP proxies to bypass regional blocks and WAF rules that target data centre IP ranges.
Hepsiemlak caps search results at 50 pages. We programmatically sub-divide broad city searches into granular neighborhood polygons and price brackets to extract every listing without hitting the cap.
Agent contact numbers are obfuscated on listing pages. We execute JavaScript via Playwright to simulate user clicks, exposing and capturing the underlying phone numbers.
Instead of scraping DOM elements for location data, we intercept XHR requests to the internal map API, extracting precise latitude/longitude coordinates from the JSON payloads.
For daily market sweeps, we maintain a hash index of last-seen values per listing. Subsequent runs only push new listings, sold properties, or price updates, reducing downstream load.
PropTech firms build automated valuation models (AVMs) using historical listing data and Emlak Endeksi trends.
Real estate funds identify undervalued assets and high-yield rental opportunities across Istanbul and Ankara.
Agencies monitor rival broker portfolios, listing durations, and market share per district.
Consultancies track urban expansion, gentrification trends, and housing supply metrics.
B2B service providers extract agency contact details to pitch CRM software, photography, or staging services.
Media and analysts aggregate price-per-square-metre data to publish regional real estate reports.
"Hepsiemlak contains the most comprehensive record of Turkish real estate dynamics, but extracting it requires navigating aggressive pagination limits and dynamic map APIs."
Building a reliable pipeline for Turkish property data means handling complex location hierarchies, bypassing strict request rate limits, and rendering JavaScript to expose contact details. DataFlirt absorbs this infrastructure overhead so your analysts can focus on market trends, not crawler maintenance.
Everything supported by our hepsiemlak.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 deduplication. Playwright handles JavaScript rendering, cookie sessions, and map interactions.
We maintain pools of Turkish residential ISP proxies. Rotation happens per-request to avoid WAF blocks and rate limits.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. State stored in Postgres.
Data delivered to where your team already works — no new tooling required.
About hepsiemlak.com scraping, legality, and pipeline operations.
Ask us directly →Scraping public real estate listings is generally permissible. We extract only public property and agency data, avoiding authenticated user areas.
We programmatically subdivide broad searches into smaller geographic polygons or apply granular price/size filters to ensure every listing is captured without hitting pagination caps.
Yes. We use Playwright to simulate the click interactions required to reveal obfuscated phone numbers on listing pages.
Yes, we extract the regional property index data, including historical price trends and average marketing durations for specific districts.
Pipeline cadences are configurable. We can run daily full-market sweeps or hourly updates for specific high-velocity districts in Istanbul.
Yes. By maintaining state across pipeline runs, we calculate price deltas and flag listings that have been discounted since their original publish date.
Our smallest packages cover specific Turkish provinces or property types with weekly delivery. Contact us for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily feed of Istanbul rental listings or a historical database of Turkish land prices — we scope, build, and operate the pipeline. Tell us what you need.
