01
Residential sale and rental results
Build spanish housing inventory mapping from residential sale and rental results, carrying property, location, listing state, price, and capture-time context into delivery.
All Data API targets
Data API•Managed extraction
Fotocasa Scraper API
Transform Fotocasa sale, rental, property, and agency pages into structured Spanish housing data for inventory, pricing, and portfolio intelligence.
Structured output · Source-aware fields · Parser maintenance included
Available data
Start spanish housing inventory mapping with the right Fotocasa views.
Use residential sale and rental results, property detail pages, and agency profiles and listing portfolios to capture sale or rental property type, address, neighborhood, and map context, and asking price, rent, and price per square meter for spanish housing inventory mapping. Track active sale and rental supply by city, neighborhood, property type, size, and condition.
02
Property detail pages
Capture property detail pages for neighborhood asking-price benchmarks and retain property, location, listing state, price, and capture-time context in the output.
03
Agency profiles and listing portfolios
Use agency profiles and listing portfolios to support agency portfolio intelligence, with property, location, listing state, price, and capture-time context attached to each record.
Business use cases
Turn Fotocasa observations into sharper business decisions.
Build spanish housing inventory mapping, neighborhood asking-price benchmarks, and agency portfolio intelligence on one maintained Fotocasa record model. Build comparable price and rent views with floor area, room count, condition, and location attached.
Structured output
Bring sale or rental property type, address, neighborhood, and map context, and asking price, rent, and price per square meter into one Fotocasa schema.
Bring sale or rental property type, address, neighborhood, and map context, and asking price, rent, and price per square meter together with property, location, listing state, price, and capture-time context for reliable downstream analysis. Compare agency inventory, listing freshness, geographic coverage, and property specialization.
01
Listing ID and source URL
Keep listing ID and source URL consistent across Fotocasa collections so records remain easy to join and compare.
02
Sale or rental property type
Keep sale or rental property type connected to its Fotocasa source view and collection context.
03
Address, neighborhood, and map context
Use address, neighborhood, and map context as a source-linked text input for Fotocasa classification and comparison workflows.
04
Asking price, rent, and price per square meter
Keep asking price, rent, and price per square meter connected to its offer, market, and capture context for comparable Fotocasa data.
05
Bedrooms, bathrooms, and floor area
Keep bedrooms, bathrooms, and floor area attached to each Fotocasa record for location-aware analysis and comparison.
06
Floor, condition, and property features
Use floor, condition, and property features to compare Fotocasa products, listings, entities, or results on the attributes that matter.
07
Amenities and energy-certificate context
Keep amenities and energy-certificate context alongside its Fotocasa page or entity context for richer downstream analysis.
08
Advertiser, publication date, and update date
Use advertiser, publication date, and update date to order Fotocasa observations and measure change across refreshes.
How it works
Collect residential sale and rental results, structure sale or rental property type, and deliver for agency portfolio intelligence.
WebScrapingAPI turns residential sale and rental results into sale or rental property type and address, neighborhood, and map context records while maintaining collection and parsers.
- 01
Choose source views
Start with residential sale and rental results, property detail pages, and agency profiles and listing portfolios, then choose the locations, property types, listings, and market views required for spanish housing inventory mapping.
- 02
Select data fields
Focus the output on Listing ID and source URL, Sale or rental property type, and the additional context your application uses.
- 03
Receive structured records
Send sale or rental property type, address, neighborhood, and map context, and asking price, rent, and price per square meter to property intelligence, inventory, and market-analysis systems, with property, location, listing state, price, and capture-time context attached.
- 04
Scale with managed quality
WebScrapingAPI maintains access, extraction logic, parsers, and product-level monitoring as your workload grows.
Managed maintenance
One managed extraction layer for address, neighborhood, and map context and asking price, rent, and price per square meter.
We maintain residential sale and rental results and property detail pages, map sale or rental property type, address, neighborhood, and map context, and asking price, rent, and price per square meter, and monitor record quality for agency portfolio intelligence.
Your team receives sale or rental property type, address, neighborhood, and map context, and asking price, rent, and price per square meter ready for spanish housing inventory mapping.
WebScrapingAPI
Managed Fotocasa collection
- Residential sale and rental results access
- Listing ID and source URL and Address, neighborhood, and map context mapping
- Parser maintenance for property detail pages
- Quality monitoring for spanish housing inventory mapping
Ready for your team
Fotocasa data built to move
- Apply Listing ID and source URL and Address, neighborhood, and map context to neighborhood asking-price benchmarks
- Connect floor, condition, and property features to your applications
- Build neighborhood asking-price benchmarks into dashboards, models, or alerts
- Scale agency portfolio intelligence by volume and refresh cadence
Get started
Begin with property detail pages for agency portfolio intelligence.
Start with residential sale and rental results and property detail pages and see sale or rental property type, address, neighborhood, and map context, and asking price, rent, and price per square meter in structured output for neighborhood asking-price benchmarks.
Sample data
Start with representative Fotocasa records.
Choose residential sale and rental results and see sale or rental property type, address, neighborhood, and map context, and asking price, rent, and price per square meter in structured output shaped for spanish housing inventory mapping.
Talk to a data expertFAQ
Fotocasa Scraper API FAQs.
Learn what data is available, how maintenance works, and how to get started.
What does the Fotocasa Scraper API cover?
Fotocasa Scraper API turns residential sale and rental results, property detail pages, and agency profiles and listing portfolios into structured records for spanish housing inventory mapping, neighborhood asking-price benchmarks, and agency portfolio intelligence.
Which Fotocasa pages or entities can I collect?
Choose from Residential sale and rental results, Property detail pages, and Agency profiles and listing portfolios, then select the locations, property types, listings, and market views and fields required for spanish housing inventory mapping.
Which fields can Fotocasa records contain?
Available field families include Listing ID and source URL, Sale or rental property type, Address, neighborhood, and map context, Asking price, rent, and price per square meter, Bedrooms, bathrooms, and floor area, and Floor, condition, and property features. Request a sample shaped around sale or rental property type, address, neighborhood, and map context, and asking price, rent, and price per square meter.
How do I start collecting Fotocasa data?
Start free or request sample Fotocasa data. Our team can help you choose the source views, fields, and delivery option that fit your workflow.
Who maintains Fotocasa source access and parsing?
WebScrapingAPI handles Fotocasa source access, extraction, parser maintenance, and product-level quality monitoring so your team can focus on spanish housing inventory mapping.
How can Fotocasa data fit my existing workflow?
Send sale or rental property type, address, neighborhood, and map context, and asking price, rent, and price per square meter to property intelligence, inventory, and market-analysis systems. Start with sample Fotocasa data, then scale volume and refresh cadence as your workflow grows.
How is Fotocasa Scraper API priced?
Pricing depends on source, volume, frequency, fields, and delivery method. Start free for an initial test or talk to a data expert for a plan matched to your workload.
Your Fotocasa data
Put sale or rental property type and address, neighborhood, and map context to work for neighborhood asking-price benchmarks.
Start with neighborhood asking-price benchmarks, or request sample Fotocasa records built around sale or rental property type, address, neighborhood, and map context, and asking price, rent, and price per square meter for agency portfolio intelligence.