Idealista Scraper
By
Turn Idealista listings into a structured table. Collect address, URL, price, bedrooms, and size (m²) from a search page. Compare properties faster with export-ready data.
Scrape hundreds of webpages in one click with the Thunderbit Chrome Extension. Prefer to hand this job to AI? Use the Thunderbit API or Thunderbit MCP. Want us to run it for you? Use our Web Scraping Service.
Scrape Idealista Listings With AIUse Thunderbit to automate listing extraction while you browse, including pagination and subpages. Get structured property data fast and export it in a few clicks.
Install fromChrome Web Store
Scrape Idealista Listings With AI
Collect real estate listings from Idealista and other sites using Thunderbit’s AI Web Scraper Chrome extension. Click AI Suggest Fields, then Scrape to capture addresses, prices, bedrooms, sizes, and links into a structured table, even across pagination and subpages.
Thunderbit can also scrape data from subpages, PDFs, docs, and images, then summarize, categorize, or format fields as you need. Export results to Google Sheets, Airtable, or Notion, or download as CSV or JSON for analysis and reporting.
How to Scrape Idealista Listings Using Thunderbit
STEP 1Download and InstallDownload and install the Thunderbit Chrome Extension from the Thunderbit Chrome Extension Download Page. Once installed, log in or create a free account to get started.
STEP 2Open ExtensionOpen Chrome and go to Idealista. Copy an Idealista search results URL or a single property listing URL (for example, https://www.idealista.com/en/venta-viviendas/madrid-madrid/). Click the Thunderbit extension icon to open Thunderbit, then select the Idealista Scraper. In the tab labeled "Enter an Idealista Search or Listing URL," paste the URL into the "url" input field to set the source for extraction.
STEP 3Click the Scrape Idealista listings ButtonClick the "Scrape Idealista listings" button to start the extraction. Thunderbit will generate a table that includes Property Address, Property URL, Price, Bedrooms, and Size (m²). After the table loads, export the results to Excel, Google Sheets, Airtable, or Notion, or download the data as CSV or JSON.
Learn how to extract Idealista property listings into a structured table
Paste an Idealista URL to collect listing data
Idealista Scraper turns an Idealista search results link or a single listing URL into a clean table of property details. It captures key fields such as Property Address, Property URL, Price, Bedrooms, and Size (m²), so you can compare homes without copying and pasting. It’s built for real estate agents, investors, and analysts who need fast, repeatable data collection for research and shortlists.
Standardize key fields for easier comparison
The tool extracts consistent columns across listings, helping you evaluate properties side by side even when pages present details in different layouts. Bedrooms and Size (m²) are captured as numbers to support sorting and filtering, while the Property URL keeps a direct reference back to the source listing. This is useful for market research, portfolio tracking, and building comps for specific neighborhoods or price bands.
Build pricing and inventory snapshots for market research
Use Idealista Scraper to pull multiple listings from a search page and create a snapshot of current inventory for a city, district, or set of filters. Teams can track asking prices, typical sizes, and bedroom counts to spot trends and outliers. This workflow supports real estate professionals preparing client options, investors screening opportunities, and researchers analyzing supply across different areas.
Export the table to your analysis and reporting tools
After scraping, export the table to Excel, Google Sheets, Airtable, or Notion, or download it as CSV or JSON for further analysis. This makes it easy to share shortlists, run pivots, create charts, or combine Idealista data with internal notes and lead pipelines. Keeping Property URL in the output also helps reviewers open the original listing for verification and follow-up.
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What users say about Thunderbit
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
