This speed run walks you through creating a research agent that visits mobile.de, searches for Toyota Hilux listings, and returns a clean table with prices and specifications. No coding, no scraping scripts — just a prompt and the agent's built-in browser tools.
We'll search for Toyota Hilux models from 2010 onwards, under 200,000 km, in the 24,100 area code.
Before you start, you just need the search URL — everything else is handled by the agent's built-in browser tools:
https://suchen.mobile.de/fahrzeuge/search.html?dam=false&fr=2010%3A&isSearchRequest=true&ml=%3A200000&ms=24100%3B17%3B%3B&od=down&ref=srpHead&refId=cddf5d0a-d19d-3d0a-72aa-4323de29d7cb&s=Car&sb=doc&vc=CarWe configured two prompts on the agent's dashboard at app.derez.ai. The first enables the agent's browser and web tools. The second tells it exactly what to do.
https://suchen.mobile.de/fahrzeuge/search.html?dam=false&fr=2010%3A&isSearchRequest=true&ml=%3A200000&ms=24100%3B17%3B%3B&od=down&ref=srpHead&refId=cddf5d0a-d19d-3d0a-72aa-4323de29d7cb&s=Car&sb=doc&vc=Car
The first prompt enables the agent's browsing capabilities. The second prompt tells it where to go, what to look for, and how to present the data — structured, not just a wall of text.
In under 10 Minutes you went from nothing to a research agent that browses real websites and returns structured data. The same pattern works for any listing site — eBay, Autoscout, Immobilienscout, or your own industry directories.
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