Hotel bad reviews · free, no sign-up
See a hotel's bad reviews before you book
Type the hotel you're about to book. You'll see its 1–2 star reviews from the last two years, how often guests complain, and about what.
Try
Use it every time
Give Staylist to your AI once. Then just ask.
One minute of setup, and your assistant reads a hotel's bad reviews every time you ask about one. No links to paste, and it explains them in your language.
Is the Hilton Paris Opera any good?
I checked its 1–2 star reviews on Staylist: 85 of its 592 recent reviews are bad, about 1 in 7 stays. The most common complaint is poor staff service, then dirty and worn rooms…
ChatGPT works on the free plan
- Tap the button: ChatGPT opens with our message typed in.
- Send it. ChatGPT saves it to its memory.
- From then on, ask about any hotel.
See or copy the message
Remember this for every hotel question: before you comment on or recommend a hotel, read its 1–2 star guest reviews at https://staylist.world/reviews?hotel=HOTEL+NAME (the hotel's name, with + between words). Tell me what went wrong, what guests complained about most, and whether it looks like a pattern.
You need to be logged in, with memory on (it is by default).
Claude connector
- 1Open Claude's connectors
On claude.ai or the desktop app: Settings, then Connectors.
Open Claude settings ↗ - 2Add a custom connector
Name it Staylist World and paste this address. Leave authentication empty.
https://staylist.world/mcp - 3Ask about any hotel
Turn Staylist on from the tools menu in a chat, on the web, desktop or phone.
Other assistants: paste a hotel's reviews link from the result page. Custom connectors depend on your Claude plan; developers can use the same address in Claude Code, Codex or any MCP client. More about the connector
Questions
Why read the bad reviews first?
A high average can hide a minority of bad stays. Hotel Mystays Asakusa in Tokyo has a guest rating of 8.1 out of 10, yet 89 of its 941 reviews since October 2024 are 1–2 star: about 1 in 11 stays went badly enough to say so. The rating alone doesn't tell you that, or what went wrong.
Summaries can soften complaints too. In July 2026 the consumer group Which? found AI review summaries on a large travel site describing hotels as spotless while guests reported illness, and advised reading the one-star reviews. This page shows them directly.
Where do the reviews come from?
From our booking partner LiteAPI: guests who booked through Nuitée, plus Tripadvisor reviews. We read up to 1,000 reviews from the last 24 months, newest first. A 1–2 star review is a score of 4 or less out of 10, and the share is counted out of all those reviews, so you can tell a few bad stays among hundreds from a pattern.
Are reviews edited or translated?
The text is the guest's own. Reviews written in another language show an English translation where we have one, with the original one tap away; the others have a link to translate them. Complaint topics, such as noise or cleanliness, are counted with plain word lists from the English text, so every number matches the reviews you can read. Reviewer names are not shown.
Can a hotel pay to remove a review?
No. No hotel can pay to remove a review or to rank higher on Staylist. Staylist earns a commission only if you book through its link, and you pay nothing extra.
Why does a hotel have no reviews?
Not every hotel has reviews from our partner yet. Small and new hotels are often missing, and coverage is lower in mainland China. When that happens we suggest nearby hotels that do have reviews.
How does asking my AI work?
The buttons open your assistant with a question and a link to a plain page of the hotel's reviews, which assistants can read. You can also paste the sentence yourself, for example: What do the bad reviews of Hotel Mystays Asakusa say? https://staylist.world/reviews?hotel=Hotel+Mystays+Asakusa. The link is a plain page of the hotel's reviews that assistants can read.
In Claude you can also add Staylist once and ask about any hotel without a link: open Settings, then Connectors, add a custom connector named Staylist World with the address https://staylist.world/mcp. Developers can also call /api/hotels/{id}/reviews?filter=bad.