dealscrap.com

What It Is

DealFlow IDF, under DealScrap, is positioned as a real estate “deal sourcing” service for Île-de-France, aimed at property developers and investors. It delivers a weekly selection of potential property opportunities filtered through data. This is not general-purpose business software, but a vertical data service built around local French listings, official DVF transaction data, and AI analysis. Its goal is to help users quickly assess discounts, profit potential, and strategy.

Core Features and Workflow

Its core workflow is fairly clear: it continuously scrapes Île-de-France listings from platforms such as Leboncoin, SeLoger, and PAP, with automated scheduling via Apify and n8n. It then cross-checks these listings against DVF transaction data from data.gouv.fr to calculate market prices, discount rates, and potential profit. Claude AI/GPT-4 is then used for strategic analysis, including subdivision, resale, rental potential, risk identification, and opportunity scoring. Finally, deals are manually verified, and only 5 to 15 priority deals per week are delivered to users via Notion cards, Telegram, and Email. Airtable is used to store and enrich data fields, while Notion is used to generate client-readable property fiches.

Pricing and Trial

The business model is not a SaaS subscription, but an “apporteur d'affaires” commission model: €0/month, with a 15% commission charged when the preliminary purchase agreement is signed. The page also promises 3 free deals for testing. This model is friendly for initial trials, but the text does not specify the calculation basis for the 15% commission, so contract terms should be confirmed before entering into a formal partnership.

Pros and Cons

Its main strength is that the data sources are highly relevant to real estate investment decisions in France. In particular, real DVF transaction data can help identify gaps between listing prices and market prices. The combination of automated scraping, AI scoring, and manual filtering can also significantly reduce time wasted on low-quality property viewings. The limitations are that the service is highly regional and only covers Île-de-France; it lacks explanations of standard SaaS capabilities such as multi-user permissions, team collaboration, an enterprise dashboard, or an open API. Its financial simulations are also explicitly described as indicative, so users still need to conduct their own independent due diligence.

Who It’s For and Access from China

It is suitable for marchands de biens, renovation-and-resale investors, and individuals or small teams in Île-de-France who want to quickly identify discounted assets. It is not suitable for the Chinese real estate market or for cross-region investors. The text does not provide information about access from China, and payment methods are not disclosed. For users looking for alternatives in China, more realistic options would be local real estate platforms such as Beike, Anjuke, and Fang.com, or building an in-house data collection and valuation workflow, though the business models and data availability differ significantly.