tagada

French software engineer — 14 years, security background. I build Actors around one theme: French data that's a pain to get, delivered as clean structured records.

🏠 Real estate Listings from France's big portals, with the fields that matter for prospecting: advertiser phone number, agence / particulier flag, price and €/m².

• SeLoger & Logic-Immo scrapers — phone numbers on every listing
• PAP — owner-direct ads (no agencies)
• DVF — the government's record of actual sold prices
• Deal Score — asking prices vs. DVF reality, spots mispriced listings

🏛️ Companies & tenders Official open data (INSEE, BODACC, DILA, TED).

• French Company KYC — name or SIREN → identity, VAT, officers, financials, insolvency red flags
• French & EU Public Tenders — BOAMP + TED in one call, with monitoring, alerts and optional AI scoring

How they're built

• One flat schema per actor — nulls where the source is silent, never guesses
• Pay per useful result; empty runs cost next to nothing
• REST + MCP on everything: the same actor works from a script, a sheet, or Claude/Cursor
• Portals change — I watch my actors and fix breakage fast

Custom work (scraping, data pipelines, AI agents): github.com/tagadanar