Sahibinden Land Listings: 226K Plots for Sale, Plus 86K from HepsiEmlak
Land for sale across Turkey from Sahibinden and HepsiEmlak for a land investor: 226,000 plots in the first file and 86,200 HepsiEmlak rows.
InfoCasas Scraper for Peru Sale, Rent and Project Listings
Our InfoCasas scraper turns the labelled property sheet of every listing into columns. Where an advertiser left a field blank and the site prints ¡Pregúntale!, the cell stays empty.
Plans from €169 a month · Free project assessment · Reply within 1 business day
CSV · Excel · JSON · XML · FTP · SFTP · Amazon S3 · Google Cloud
infocasas.com.pewhat you get
Typical fields for property portals
addresspriceproperty_typebedroomsarea_m2agentlisted_at
Delivery
API, JSON feed or CSV, XLSX and JSON files
ScheduleOne-time, monthly, weekly, daily or 3 times a day
How We Scrape InfoCasas for You
- You send
InfoCasas pages, filters, fields and a schedule
- We run the scrapers
Built, monitored and repaired by our team
- You receive the data
API, JSON feed or CSV, XLSX and JSON files
Describe the slice - Venta, Alquiler or Proyectos, the cities and districts, the property types, the price band - and we write the InfoCasas extractor, run it and fix it when the site changes. Proxy rotation, request pacing, CAPTCHA handling and page rendering come with the service, so nothing on your side has to cope with blocks.
The listing id at the end of each InfoCasas address is the key we join on, which keeps a listing's history on one line across runs. You receive CSV, Excel or JSONLines, an endpoint we host, or files on SFTP, Amazon S3 or Google Drive - once, or daily, weekly or on demand - with a field guide that maps each Spanish label to its column.
InfoCasas Data Scraper: The Property Sheet as Columns
Every InfoCasas listing carries a Detalles de la Propiedad (property details) sheet with fixed labels, which makes the site straightforward to tabulate once the blanks are handled. We return one row per listing:
- Identitythe numeric listing id, the Referencia (the advertiser's reference code, also shown in the page title as Ref #), operation (Venta, Alquiler, Alquiler temporal), property type and title.
- Pricethe amount with the currency the advertiser chose, U$S or S/, the Precio de Venta or rent label, and the maintenance add-on printed after the price as mant. and repeated in the sheet as Gastos Comunes.
- Size and roomsM² edificados (built area), M² de terraza, Dormitorios (bedrooms), Baños (bathrooms), Garajes (garages), Planta (floor) and Cantidad de Plantas.
- Condition and positionEstado, Antigüedad, Orientación, Disposición (Al frente, Contrafrente, Interior or Lateral), Sobre (the type of street, such as Avenida), plus the Penthouse and Apto para Oficina flags.
- TermsFinanciación, Acepta permuta (open to a property swap) and Vivienda Social.
- CoastDistancia al Mar and Vista al Mar, the fields that matter for beach districts south of Lima such as Asia and Punta Hermosa, both among the site's locations.
- Locationthe address when the advertiser shows it, Zona (district), city and the map position.
- Advertiserthe inmobiliaria (agency) name with a link to its agency page, or the owner status that the site's Publicado por el dueño filter selects.
- Dates, text and mediathe listing date, given in the summary sentence at the foot of the page as the day the listing was entered, the Destacado badge, the description and the photo set.
Where InfoCasas prints ¡Pregúntale! we leave the cell empty, so a missing value never passes for data.
InfoCasas Price Tracker and Project Progress
Single listings are only part of the site. These layers come on request:
- Project progressProyectos pages carry an Información del proyecto block: Porcentaje terminado (share built), Porcentaje vendido (share sold), Ocupación, Desarrollador, Formas de pago, Cuota inicial, Aplica subsidio and Fecha de Finalización, beside the Desde price and the list of Unidades. Where the developer fills it in, the percentage sold read month after month becomes a sales-pace series per building.
- Agency stockeach agency has a page under /inmobiliarias/ listing all its properties with a result count, so stock per broker and its mix of sale and rent come straight from the source.
- Alojamientosthe temporary rentals section lists houses and flats with Huéspedes (guest capacity) beside bedrooms and price.
- Search slicesresult pages per operation, type and city, such as /venta/departamentos/lima, sort by Mayor precio, Menor precio, Más Recientes and size, and filter by Estado (En Pozo, En construcción, A estrenar, Usados) and Fecha de publicación.
- Price trackerrepeated runs keyed on the listing id store each price and currency with the run date, giving a price history per listing and the day it left the site.
About InfoCasas Peru and Its Sister Sites
- Source
- infocasas.com.pe
- Category
- property portals
- Delivery
- API, JSON feed, CSV, XLSX
- Plans
- From €169 a month
InfoCasas Peru (infocasas.com.pe) is a property portal organised in three sections - Venta (sale), Alquiler (rent) and Proyectos (new developments) - plus Alojamientos for temporary rentals. Its property types run from Departamentos, Casas and Terrenos to Locales Comerciales, Oficinas, Chacras o Campos (farmland) and whole Edificios. The home page leads to Lima, Arequipa, Trujillo, Callao, Piura and La Libertad, and the breadcrumb of a Lima listing runs down to districts such as Miraflores, Santiago de Surco and Chorrillos.
The Peruvian site is one country of a network. Flags in the footer lead to infocasas.com.uy in Uruguay, infocasas.com.py in Paraguay and infocasas.com.bo in Bolivia, along with a Colombian sister portal and Casas en el Este, so the same approach can be extended to several markets.
Each listing is priced in one currency, U$S or S/, at the advertiser's choice, and the price filter switches between U$S - Dólares Americanos and S/ - Nuevo sol. Agency listings carry the inmobiliaria's name on the card, while owner listings are published directly and gathered by the Publicado por el dueño filter. Cards marked Destacado lead the default Popularidad order.
25Developers
500+Customers
1.5BPages extracted
15,000+Hours saved for our clients
InfoCasas scraping plans and pricing
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan detailsWhat InfoCasas Listings Are Used For
Most uses come from the structured sheet rather than the free-text description.
- Valuation inputsBuilt area, terrace area, floor, Disposición and Orientación separate an interior unit on a low floor from a front-facing one higher up, which a price per square metre alone cannot do.
- Currency-aware pricingSale prices arrive in US dollars or soles listing by listing; keeping the original currency shows which segments of Lima are quoted in dollars and which in soles.
- New-build trackingCompletion date, Desde price and, where the developer fills them in, the built and sold percentages give developers and lenders a view of competing projects.
- Agency benchmarkingStock per inmobiliaria, its districts and its price levels show who leads a district.
- Regional comparisonAdding the Uruguay, Paraguay and Bolivia sites of the same network puts several markets in one table for a regional investor.
- Coastal and temporary rentalsSea distance, sea view and guest capacity help price beach houses south of Lima.
Related case studies
Apartments.com Data: Unit Prices for 3,000 Buildings Every Day
A daily apartments.com feed for a US apartment locator: about 3,000 buildings from the client's own list, down to each unit's rent and floor plan.
Housing.com Data: 315K Project Pages with Photos and Floor Plans
A one-time Housing.com collection for a real-estate company in India: project cards plus every photo and floor plan, uploaded straight to its cloud drive.
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Benefits of Web Scraping for Real Estate: 6 Use Cases From Our Projects
Six jobs that scraped property data does, each backed by a ScrapeIt project: seller leads, listing monitoring, image datasets, weekly market supply, sold records and unit-level rentals. For every use case - the fields it needs and how often to refresh them.
About ScrapeIt
ScrapeIt collects website data as a managed service - we write, operate and maintain the crawlers, and the dataset lands where you want it. Property portals with fixed field sheets, two currencies and project pages suit that model well. For InfoCasas the first step is a free project assessment, and a sample of your slice can be ordered before you commit. Plans start from EUR 169 a month, or EUR 199 for a one-time extract.
FAQ
Still unsure? Write to info@scrapeit.io
Is a ScrapeIt InfoCasas API available for Peru listings?
Yes. The ScrapeIt InfoCasas API returns the listing id, Referencia, price with its currency, built area, Dormitorios and agency name as JSON from an endpoint we host, updated on the schedule you choose. The same rows are available as Excel or JSONLines files, through a JSON feed or inside your own database.
Is it legal to scrape InfoCasas?
Yes. InfoCasas shows prices, property sheets, agency names and project progress to anyone who opens a listing. We collect only publicly available data - everything a visitor can see on InfoCasas - and we collect it legally. Owners who publish their own listings are private persons, so their names stay out of the dataset by default.
Can you also scrape InfoCasas in Uruguay, Paraguay and Bolivia?
Yes. The footer of the Peruvian site links to infocasas.com.uy, infocasas.com.py and infocasas.com.bo, and each can be added as its own source. Rows carry a country column and keep the local currency, so the markets compare on one schema.
How often is InfoCasas updated with new listings?
New stock is dated: the site's own Fecha de publicación filter slices it down to Hoy (today) and Desde ayer (since yesterday). A daily pass on new arrivals plus a weekly full pass keeps prices current and catches listings that leave the site.
What do you deliver for InfoCasas projects?
Each project row carries the Desde price, Desarrollador, Estado, Fecha de Finalización, Formas de pago, Cuota inicial, Aplica subsidio, Porcentaje terminado and Porcentaje vendido, plus the Unidades list where the developer publishes it. Fields shown as ¡Pregúntale! arrive empty rather than guessed.
How it works
- 1
Make a request
You share your needs, expectations, and desired timeframe. We'll suggest the best solution based on your request and budget.
- 2
We configure the crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
- 3
Collect and deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
- 4
Maintain and support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Request a quote
Tell us which sites, which fields and how often. A couple of lines is enough to start.
- We reply within 1 business day
- A sample dataset before the full run
- We sign an NDA on request
- Delivery by API, JSON feed or files