About

We built the tool we needed

Finding a rental in a new city is stressful. Doing it in a foreign country, in a second language, from the other side of the world — with scammers, inflated prices, and no way to verify a listing is real — is something else entirely. ClickCasa was built to fix that.

What we do

Paste a listing. Get the full picture.

ClickCasa analyses rental listings from major Latin American property portals. Paste a URL and within minutes you get a structured report covering four dimensions that matter most when renting abroad.

Safety

Neighbourhood crime context, expat safety consensus, and proximity to services that matter.

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Price fairness

Is the asking rent in line with comparable listings in the area? We flag when you're being overcharged.

Scam detection

Red flags in the listing text, pricing anomalies, and signals that correlate with fraudulent posts.

Neighbourhood intelligence

Walkability, internet quality, expat infrastructure, and cost of daily life — all in one place.

How the AI works

Transparent by design

ClickCasa uses a combination of large language models — including Claude by Anthropic and GPT-4 — to extract structured data from listing text, cross-reference it against neighbourhood datasets, and generate scored verdicts with cited reasoning. We don't hide the AI or pretend the output is infallible.

Every report shows you the sources behind each score. If we couldn't find reliable data for a dimension, we say so rather than fabricating a number. Our goal is to give you a faster, better-informed starting point — not to replace your own judgement.

Listing extraction

We pull the listing text, price, location, and photos from the URL you provide.

Data enrichment

We layer in neighbourhood data: crime context, walkability scores, comparable rents, internet quality from our growing database of analysed listings.

AI scoring

LLMs evaluate the enriched data against our scoring rubrics for each dimension, generating a verdict with cited evidence.

Your report

A structured, human-readable report with scores, red flags, a summary verdict, and — for paid plans — a Spanish message template to send the landlord.

Data sources

Where the numbers come from

OpenStreetMap

Walkability, points of interest, amenity proximity, and map data.

ClickCasa listing database

Aggregated and anonymised data from listings we've analysed — used to benchmark rent and score comparables.

Public neighbourhood data

Official Colombian stratum classifications, utility cost ranges, and publicly available safety data.

Expat community consensus

Curated signals from established expat community sources to inform neighbourhood character assessments.

We don't resell or share your listing queries. Reports are used in aggregate, anonymised form to improve scoring accuracy. Read our privacy policy for full details.

Who built this

A small team with first-hand experience

ClickCasa is an independent product built in the UK, focused entirely on making the Latin American rental market more navigable for people moving there from abroad. We're not a real estate agency and we don't earn referral fees from landlords. Our only incentive is to give you accurate, unbiased information.

We started with Medellín because it's one of the most popular cities for expats in the region and one of the most active scam markets for foreign renters. Bogotá, Cartagena, Cali, Mexico City, and Buenos Aires are on the roadmap.

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