We extract residential listings, pricing metrics, property attributes, and broker intelligence from Etuovi. 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 Property Listings objects from etuovi.com. All fields typed and schema-versioned.
"id": "1234567", "property_type": "apartment", "location_city": "Helsinki", "living_area": 45.5, "rooms": "2h+kt+s", "build_year": 2018, "sauna": true
| # | id | url | property_type | building_type | location_city | location_district |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Costs objects from etuovi.com. All fields typed and schema-versioned.
"selling_price": 145000.0, "debt_free_price": 215000.0, "maintenance_fee": 225.5, "financing_fee": 150.0, "price_per_sqm": 4725.27, "total_costs": 375.5
| # | id | selling_price | debt_free_price | price_per_sqm | maintenance_fee | financing_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Building & Company objects from etuovi.com. All fields typed and schema-versioned.
"company_name": "As Oy Helsingin Esimerkki", "heating_system": "Kaukolämpö", "plot_ownership": "Oma", "upcoming_renovations": "Linjasaneeraus 2028", "parking_spaces": 24, "roof_type": "Harjakatto"
| # | id | company_name | property_manager | heating_system | roof_type | plot_ownership |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Broker & Agency objects from etuovi.com. All fields typed and schema-versioned.
"broker_name": "Matti Meikäläinen", "broker_title": "Kiinteistönvälittäjä LKV", "agency_name": "Kiinteistömaailma Helsinki", "lkv_certified": true, "active_listings_count": 14, "broker_phone": "0401234567"
| # | id | broker_name | broker_title | broker_phone | broker_email | agency_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Media & Open Houses objects from etuovi.com. All fields typed and schema-versioned.
"main_image_url": "https://etuovi.com/images/...", "floor_plan_url": "https://etuovi.com/floorplans/...", "open_house_date": "2026-05-15", "open_house_start": "14:00", "open_house_end": "14:45", "open_house_type": "Yleinen näyttö"
| # | id | main_image_url | image_urls | floor_plan_url | video_url | virtual_tour_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Etuovi scraper handles the Finnish real estate market complexities: dynamic map searches, complex pricing structures, housing company details, and broker directories - with JavaScript rendering and anti-bot circumvention built in.
Rooms, area, condition, energy class, sauna/balcony flags, and every metadata field Etuovi surfaces - scraped at the listing level.
Extract debt-free price (velaton hinta), selling price (myyntihinta), maintenance fees (hoitovastike), and financing costs (rahoitusvastike).
Capture upcoming pipeline renovations (putkiremontti), plot ownership status, heating systems, and property manager details.
Extract LKV certification status, agency mapping, contact details, and active listing counts for every broker.
Extract listings via coordinate bounding boxes and precise geolocations, bypassing standard pagination limits.
Monitor public and private open house dates, times, and types of showings (asuntonäyttö).
Extract high-resolution image arrays and floor plan document URLs directly from the listing gallery.
Support for apartments (kerrostalo), row houses (rivitalo), detached houses (omakotitalo), cottages (mökki), and plots (tontti).
Track price drops, status changes, and days on market via hash-based diffing across continuous pipeline runs.
Brief in. Clean data out.
Provide target municipalities, property types, or bounding box coordinates. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, Finnish proxy rotation, session management, and rate-limit handling for etuovi.com.
Schema validation, null-rate checks, price normalisation, and sample listings before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Real estate portals aggressively block automated traffic. Here is how we maintain steady extraction rates without triggering rate limits.
Etuovi restricts traffic originating outside Finland and flags standard data centre IPs. Our crawlers use Finnish ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management.
Map-based searches load data via undocumented API endpoints. We intercept XHR traffic to extract structured JSON payloads directly, bypassing DOM parsing overhead and capturing exact coordinate data.
Etuovi limits search results to a fixed number of pages. For dense areas like Helsinki, we subdivide the map into micro-bounding boxes, ensuring total extraction coverage without hitting pagination ceilings.
Property listings contain unstructured Finnish text for critical fields. We apply regex and mapping dictionaries to normalise terms like 'velaton hinta', 'hoitovastike', and 'putkiremontti' into structured data types.
We maintain a hash index of last-seen values per listing. Subsequent runs only push diffs - allowing you to track exactly when a property price dropped or when it was removed from the market.
PropTech firms use historical pricing and property attributes to train Automated Valuation Models (AVMs).
Analysts track price per square metre trends, days on market, and supply volume across Finnish municipalities.
Institutional investors identify high-yield rental targets by correlating asking prices with estimated rental income.
Real estate agencies monitor competitor listings, broker performance, and market share at the district level.
Contractors track upcoming housing company renovations (linjasaneeraus) to target B2B sales efforts.
Banks audit collateral values and monitor housing market liquidity for risk management.
"Etuovi holds the definitive record of Finnish residential real estate - but extracting structured pricing and renovation data requires navigating strict rate limits and complex DOM structures."
Most teams underestimate the investment required: reliable Etuovi scraping requires Finnish residential proxies, map API reverse-engineering, daily selector maintenance, and complex pagination handling. DataFlirt absorbs that complexity so your engineers can focus on the analysis - not the infrastructure.
Everything supported by our etuovi.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across Finnish regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About etuovi.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Etuovi is generally permissible under Finnish and EU law, provided it complies with GDPR. DataFlirt targets only public, non-authenticated property and pricing data. We do not extract personal data beyond publicly listed broker contact info. Clients should review Etuovi's ToS and consult legal counsel for specific use cases.
We use Finnish residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for rate limits in real time and trigger pool rotation automatically.
Daily catalogue refreshes complete within a 4-8 hour window depending on the target municipality scope. Real-time streaming pipelines can achieve sub-60-minute latency for specific high-priority districts.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series table per listing for price, status, and availability from the date your pipeline starts.
Yes. Our schema explicitly splits debt-free price (velaton hinta), selling price (myyntihinta), and various maintenance fees (vastikkeet) into separate typed fields.
Etuovi limits results on broad searches. We bypass this by programmatically subdividing the map into smaller coordinate grids, extracting all listings per grid, and deduplicating the final dataset.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily sync of Helsinki apartments or a continuous feed of national property listings - we scope, build, and operate the pipeline. Tell us what you need.
