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WikiCasa.it Real Estate Agency Scraper: Extract Italian Agency Data

What Is WikiCasa.it?

WikiCasa.it is Italy's comprehensive real estate agency directory, listing thousands of accredited agencies across all regions. Each agency profile includes contact details, service descriptions, property portfolio metrics, and premium listing indicators. For real estate professionals, market researchers, and proptech companies, manually compiling agency data is tedious — the WikiCasa.it Agency Scraper automates this, extracting structured agency records in minutes rather than hours.

Overview

The WikiCasa Agency Scraper extracts detailed agency listings from WikiCasa.it's regional agency directories, converting unstructured web pages into clean, queryable datasets. It serves:

• Real estate aggregators building comprehensive agency databases
• Market researchers analyzing regional agency distribution and market structure
• Sales teams generating leads from agency networks in target regions
• Competitive analysts tracking competitor agency portfolios and subscription tiers
• Business intelligence platforms enriching real estate market data

Key strengths include region-based URL targeting (e.g., Lazio, Tuscany, Lombardy), configurable scraping limits, and robust error handling to ensure uninterrupted data collection.

Input Format

The scraper accepts a JSON configuration object:

{
"urls":[
"https://www.wikicasa.it/agenzie-immobiliari/regione-lazio/",
"https://www.wikicasa.it/agenzie-immobiliari/regione-toscana/"
],
"ignore_url_failures":true,
"max_items_per_url":200
}

Tip: Use region-specific URLs (e.g., Lazio, Campania, Piemonte) to scope your data collection. WikiCasa organizes agencies by Italian administrative regions for efficient filtering.

Output Format

Sample output

{
"id":234679,
"name":"REALTY ONE GROUP",
"agency_extra_visibility":false,
"prestigious":false,
"top_agency":false,
"subscription_type":2,
"address":"Via Ferdinando di Savoia 3",
"city_name":"Roma",
"zip":"00196",
"image_id":null,
"company_name":"ZONE CENTER SRL",
"description":"Realty ONE Group A Modern, Lifestyle Real Estate Brand! Il marchio immobiliare in più rapida crescita nel mondo! 21K+ professionisti in oltre 62 Stati.\n\nPuoi trovarci a Roma in:\nVia Ferdinando di Savoia, 3\nVia Massa di San Giuliano, 251 \nVia Trinitapoli, 28\nVia Flavio Stilicone, 316 \nVia Benedetto Croce, 49\n\n Pomezia:\nVia Largo Plinio, 2\n\nMonte Porzio Catone:\nViale Guglielmo Marconi, 9/11\n\nMarina di Ardea in:\nViale delle Pinete, 154",
"hidden_display_phone":"068637",
"io_vox_phone":"0686373031",
"website":"https://www.realtyonegroup.it",
"active_real_estates":297,
"visible_real_estates":297,
"premium":true,
"from_url":"https://www.wikicasa.it/agenzie-immobiliari/roma/"
}

Each scraped agency returns a rich profile with 18+ fields:

Identification & Profile

Location & Contact

Subscription & Status

Portfolio Metrics

How to Use

1. Identify target regions — Navigate to WikiCasa.it's agency directory and identify regional URLs (e.g., /regione-lazio/, /regione-campania/).
2. Prepare URL list — Paste region URLs into the urls array. You can target single or multiple regions in one run.
3. Set item limits — Adjust max_items_per_url based on your needs (e.g., 50 for quick sampling, 200 for comprehensive regional coverage).
4. Enable error handling — Set ignore_url_failures: true for robust multi-region runs.
5. Execute and export — Run the scraper and download results as JSON, CSV, or Excel.

Best practices:

• Spread large runs across multiple URLs to avoid timeouts.
• Use max_items_per_url: 50-100 for incremental testing before scaling to full regions.
• If a regional URL is unavailable, the scraper gracefully skips it and continues with remaining URLs.

Use Cases & Business Value

• Agency database building: Create a master directory of Italian real estate agencies with subscription levels and contact info
• Market segmentation: Analyze premium vs. basic agency distribution by region to identify market concentration
• Lead generation: Extract contact details and portfolios for outreach and partnership development
• Market research: Track agency growth, property inventory trends, and subscription adoption across regions
• Competitive benchmarking: Compare your agency's portfolio size and visibility to competitors in the same region

The WikiCasa Agency Scraper transforms time-consuming manual research into actionable market data, enabling data-driven decision-making in Italy's real estate sector.

Conclusion

The WikiCasa.it Agency Scraper is an essential tool for anyone seeking to understand Italy's real estate agency landscape. By automating data extraction across regions, it uncovers market structure, competitive positioning, and growth opportunities in seconds. Whether you're building an aggregator, conducting market research, or generating qualified leads, this scraper delivers comprehensive, clean agency data ready for analysis.