We extract property listings, agency details, DPE energy ratings, and historical pricing from Seloger. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your defined schedule.
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 seloger.com. All fields typed and schema-versioned.
"listing_id": "194827491", "property_type": "Apartment", "transaction_type": "Sale", "price": 450000.0, "area_sqm": 65.5, "rooms": 3, "location_city": "Paris", "location_postal": "75011", "dpe_rating": "D", "ges_rating": "B"
| # | listing_id | property_type | transaction_type | price | currency | area_sqm |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Agency Data objects from seloger.com. All fields typed and schema-versioned.
"agency_id": "847291", "name": "Century 21 Bastille", "address": "14 Rue de la Roquette", "postal_code": "75011", "city": "Paris", "active_listings_count": 42, "agency_fees_pct": 5.0, "siret": "39482910200014"
| # | agency_id | name | address | postal_code | city | phone_number |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Market objects from seloger.com. All fields typed and schema-versioned.
"listing_id": "194827491", "current_price": 450000.0, "original_price": 465000.0, "price_drop_pct": 3.2, "days_on_market": 45, "price_per_sqm": 6870.2, "property_tax": 950.0, "hoa_fees": 120.0
| # | listing_id | current_price | original_price | price_drop_pct | days_on_market | price_per_sqm |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Building & Amenities objects from seloger.com. All fields typed and schema-versioned.
"listing_id": "194827491", "year_built": 1975, "floor_number": 4, "total_floors": 6, "has_elevator": true, "has_balcony": false, "parking_spaces": 1, "heating_type": "Collective electric"
| # | listing_id | year_built | floor_number | total_floors | has_elevator | has_balcony |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from seloger.com. All fields typed and schema-versioned.
"query_location": "Lyon", "query_type": "Buy", "page_number": 1, "position": 3, "listing_id": "203948172", "is_promoted": true, "new_build_flag": false, "scraped_at": "2026-08-14T10:22:00Z"
| # | query_location | query_type | page_number | position | listing_id | is_promoted |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Seloger protects its data with aggressive Datadome integration. We bypass these protections to extract clean property metadata, energy certifications, and agency details at scale.
Extract price, square metres, room counts, floor levels, and detailed textual descriptions for apartments, houses, and commercial spaces.
Capture the official Energy Performance Certificate (DPE) and Greenhouse Gas emission (GES) ratings critical for French real estate compliance.
Monitor listings over time to detect price reductions, calculating the exact percentage drop and tracking days on market.
Map properties to specific real estate agencies. Extract SIRET numbers, contact details, and calculate total portfolio value per agency.
Extract latitude and longitude coordinates hidden in the frontend state for precise mapping and spatial analysis.
Isolate VEFA (Vente en l'Etat Futur d'Achèvement) projects, including delivery dates and eligible tax exemption schemes like Pinel.
Separate the net seller price from agency fees (FAI). Extract monthly HOA charges and estimated annual property taxes.
Retrieve high-resolution image URLs, floor plan links, and virtual tour endpoints associated with each listing.
Run daily diffs on specific postal codes or cities to capture new listings within minutes of publication.
Brief in. Clean data out.
Provide postal codes, cities, or property types. We design the extraction schema covering required fields and update frequency.
We configure Playwright crawlers, implement Datadome bypass logic, and map the Seloger GraphQL API responses.
Schema validation, null-rate checks on critical fields like DPE, and price anomaly detection before full production launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or via Webhook on your defined cadence.
Extracting data from Seloger requires defeating enterprise-grade bot protection and decoding complex frontend state. We handle the infrastructure so you can focus on the data.
Seloger relies on Datadome for bot mitigation. We utilise French residential proxies combined with custom TLS fingerprinting and Playwright stealth plugins to generate valid Datadome clearance cookies without triggering CAPTCHAs.
Rather than scraping the DOM, our pipelines intercept the underlying GraphQL queries used by Seloger's frontend. This provides cleaner data, exposes hidden fields like precise coordinates, and reduces bandwidth overhead.
Seloger limits standard search pagination to 100 pages. For dense areas like Paris, we implement spatial crawling algorithms that divide the map into smaller bounding boxes to ensure 100% listing coverage.
Critical property metadata is often embedded within the Next.js hydration state (__NEXT_DATA__). We parse this JSON blob directly to extract agency SIRETs and DPE scores that may not render immediately in the viewport.
We hash property records to detect changes in price or status. Your downstream systems receive only the modified records, preventing storage bloat and reducing processing costs for daily market monitoring.
Automated valuation models (AVMs) consume price-per-square-metre data and historical transaction trends to price new properties accurately.
Funds and individual investors scan the market for high-yield rental opportunities or properties requiring renovation to improve DPE ratings.
Brokerages monitor competitor portfolios, track average days on market, and identify agencies losing market share in specific districts.
Municipalities and researchers analyse housing supply, energy efficiency distribution (DPE), and rent inflation across different regions.
B2B service providers target real estate agencies based on their active listing volume and specific property types.
Financial institutions assess regional property values and building risks to adjust lending criteria and insurance premiums.
"Seloger contains the definitive dataset for French real estate, but accessing it requires bypassing aggressive Datadome protection and reverse engineering complex GraphQL queries."
Most engineering teams fail at scraping Seloger because Datadome blocks standard HTTP clients immediately. DataFlirt handles the proxy rotation, TLS fingerprinting, and CAPTCHA solving required to maintain a stable pipeline. Your team gets structured property records without managing infrastructure.
Everything supported by our seloger.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.
We maintain custom Playwright stealth configurations and TLS fingerprinting tools specifically tuned to bypass Datadome's behavioural analysis.
Seloger strictly geo-blocks non-French traffic. We utilise exclusive pools of French ISP proxies to ensure high success rates and low latency.
Our pipelines map Seloger's GraphQL schema directly to our normalisation layer, ensuring schema stability even when the visual DOM changes.
Data delivered to where your team already works — no new tooling required.
About seloger.com scraping, legality, and pipeline operations.
Ask us directly →We use a combination of French residential proxies, custom TLS fingerprinting, and Playwright stealth plugins. This approach generates valid behavioural metrics that Datadome accepts, allowing us to extract data without triggering blocks.
Yes. While Seloger obfuscates exact addresses on the frontend, the underlying map state and GraphQL responses often contain precise latitude and longitude coordinates which we extract and normalise.
For targeted postal codes or specific cities, we can run hourly diff pipelines. For full national coverage, we recommend a daily or weekly cadence to manage infrastructure costs effectively.
Yes. Energy Performance Certificates (DPE) and Greenhouse Gas (GES) ratings are mandatory in France and are extracted as structured fields in every property record.
Yes. We use the unique listing IDs to track properties over time. Our change-detection system logs any price reductions, calculating the percentage drop and the total days the property has been on the market.
Extracting publicly available factual data, such as property prices and square footage, is generally permissible. DataFlirt does not extract personal user data or bypass authentication walls. Clients must ensure their specific use cases comply with French laws and GDPR.
20-minute scoping call. Pilot dataset within the week. Production within two. Stop fighting Datadome blocks. Tell us the regions and property types you need, and we will deliver clean, structured Seloger data directly to your infrastructure.
