Local Real Estate Intelligence from listings in your area

DataHive collects real estate ad data from the biggest real estate ad sources in Switzerland and can discuss additional sources depending on the client’s needs. The data can include sale and rental listings, listing changes, seller and competitor signals, price movements and other relevant market indicators.

No. ImmoFly is a live showcase that visualizes how real estate ad data appears and moves across Switzerland. It is designed to demonstrate DataHive’s data freshness, coverage and quality. The actual offering is DataHive’s data service, which can be configured and delivered into the workflow that fits each client.

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Yes. Clients can define criteria such as geographic area, drive-time radius, sale or rental listings, price range, property type, seller type, listing age and relevant trigger events. These triggers can include new listings, price reductions, long-running ads, new portal appearances or other changes in the listing lifecycle.

Yes. DataHive can distinguish between agency, commercial and potential private seller listings using signals such as company suffixes, seller type, number of listings and other listing patterns. These signals can support seller outreach use cases, but they can also be combined with broader market and competitor intelligence.

Matching ads and relevant changes can be updated within minutes, depending on the agreed setup and data scope. This helps clients work with fresh market signals, whether they want to identify new seller opportunities, monitor competitor activity or react to pricing and listing changes.

No. DataHive is a data provider, not a broker software vendor. We work with clients to define the data scope and delivery format that fits their existing workflow. Some clients may use a spreadsheet-based setup, while others may prefer a CRM feed, API delivery or another custom integration.

DataHive configures the data feed around the client’s target criteria and applies cleaning logic to reduce irrelevant, duplicate or misleading entries. This includes anti-spoofing and anti-crawler detection logic to identify fake or misleading listings that are designed to confuse automated collection systems. Exact quality rules, duplicate handling and edge cases are confirmed during setup.

Common use cases include identifying seller outreach opportunities to acquire mandates, monitoring private seller signals, tracking competitor activity, understanding local supply, spotting price changes, detecting long-running listings and building a market radar for a specific region.

DataHive’s real estate ad data services are typically priced as a flat monthly fee based on the booked area, data scope, refresh needs and delivery setup. Pricing starts at 30 Francs per month. Within the agreed criteria, clients receive structured data without buying individual leads one by one. Pricing can be discussed based on the region and use case.