Aggregate office listings from multiple sources and generate a deduplicated Excel file.
npx skills add https://github.com/ysgdepaula/x-deep-os --skill office-search
Please help me install this Agent Skill. Skill: office-search Source: https://github.com/ysgdepaula/x-deep-os/tree/main/.claude/skills/office-search Command: npx skills add https://github.com/ysgdepaula/x-deep-os --skill office-search
This skill automates exhaustive gathering of office space listings across multiple sources, cross-checks entries for duplicates, and compiles a clean, deduplicated Excel dataset to speed up leasing decisions.
Provide a city and arrondissement to begin scraping and generate the cleaned Excel file.
High-intent search queries and answers about installing and using this skill.
You can automate scraping commercial real estate listings by specifying a city and arrondissement to gather cross-source data, deduplicate entries, and output a structured Excel file with attributes like address, surface, price, and broker for leasing decisions.
Yes, cross-source deduplication identifies duplicate office space listings across multiple scraping sources and merges the information into a single clean record, ensuring your final dataset contains no redundant entries.
Office data scraping works for French market scenarios by accepting specific input parameters for city and arrondissement, allowing you to target locations like Paris 9e and receive listings tailored to that district.
The generated Excel file includes structured fields such as address, surface, price, contract type, operator, and broker, providing a ready-to-analyze dataset sorted with price ranges for commercial real estate leasing decisions.
To start an exhaustive office search, provide a target city and arrondissement along with any optional filters, and the skill will automatically scrape listings, cross-check entries, and produce a cleaned dataset ready for analysis.
The best way to clean scraped real estate data is to use a consolidation process that automatically cross-checks aggregated listings, identifies duplicates across sources, and merges them into a single deduplicated record before Excel generation.
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