使用场景

从住客评论中找出他们喜欢和不满意酒店的地方

Q: 可以只获取差评吗？

可以。用 reviewScores 按 Booking.com 上显示的评分筛选，或者把 sortReviewsBy 设为 f_score_asc 并限制评论条数。

Q: 可以先获取最新的评论吗？

可以。把 sortReviewsBy 设为 f_recent_desc。

Q: 一次运行可以读取多家酒店的评论吗？

可以。startUrls 是一个列表。maxReviewsPerHotel 分别限制每家酒店，所以设置 max_results 时请按总数考虑。

以 JSON 获取 Booking.com 住客评论，含评分、优点、缺点、旅客类型和日期，找出住宿需要改进和值得宣传的地方。

获取 API 密钥查看文档

预付费，无订阅REST 或 MCP一个密钥搞定模型、数据和智能体

酒店的平均分掩盖了背后的原因。原因都在文字里：人们提到的噪音、夸赞的早餐、提醒别人避开的房间。Booking.com 把住客评论分成喜欢和不喜欢两部分，但评论有成千上万条，又没法统计。Lovely Router 为你选定的酒店取回这些评论：发送酒店链接，每条评论返回一个 JSON 对象，按评论条数从预付费余额中计费。

交给你的 AI 智能体

把这段提示词复制到 Claude Code、Cursor、Codex 或任何编程智能体中。它会告诉智能体文档在哪里，以及如何使用你的 API 密钥。

从住客评论中找出他们喜欢和不满意酒店的地方. Use the Lovely Router data tools: each returns JSON and is billed per result.

- Docs (read first): https://lovelyrouter.com/docs/tools/find.md and https://lovelyrouter.com/docs/tools/run.md
- Plan first: POST https://lovelyrouter.com/v1/tools/suggest with `{"task": "<my task in plain words>"}` (free). It returns the tools to run in order, each with an example `input`, the `input_required` fields, an estimated cost and a ready-made `run` request. Replace the example values with my task's; if a field is unclear, read the tool with GET https://lovelyrouter.com/v1/tools/<id>. To browse instead, POST https://lovelyrouter.com/v1/tools/discover searches the catalog.
- Show me the plan and its estimated cost (`total_est_cost_usd`) before running anything large.
- Run: POST https://lovelyrouter.com/v1/tools/<id>/run with `{"input": {...}, "max_results": N}`. A 200 has the finished run with `items`; a 202 means it is still running, so poll the `poll` path until `status` is `succeeded`, `failed`, `timed_out` or `stopped`.
- Only delivered results are billed. Keep max_results small on the first run, check the output, then scale up.
- If you support MCP, connect https://lovelyrouter.com/mcp instead (Streamable HTTP, same key; https://lovelyrouter.com/docs/tools/mcp.md) and use suggest_tools, get_tool and run_tool.
- Auth: read my API key from the LOVELY_API_KEY environment variable and send it as `Authorization: Bearer $LOVELY_API_KEY`. Never print or commit the key. If it is not set, ask me to create one at https://lovelyrouter.com/app/keys.
- Billing is prepaid: every call is charged to my balance, so test with a small request before running anything large.
- Every docs page is plain Markdown; the full index is https://lovelyrouter.com/llms.txt.

My task: <the inputs (links, keywords or accounts) and how many results you need>

工作原理

收集酒店链接
取你自己酒店的 Booking.com 页面，以及三四家竞争对手酒店的页面。
设置上限后运行工具
把链接发送到 POST /v1/tools/booking-reviews/run。在输入中设置 maxReviewsPerHotel，并在请求体中设置 max_results。运行会从你的余额中预留它的最高费用，并以 JSON 返回评论。
统计主题
让模型给每段喜欢和不喜欢的文字打上主题标签，例如噪音、清洁、早餐和员工，再按酒店、月份和旅客类型统计数量。

一次请求获取酒店评论

Booking.com 酒店评论在 startUrls 中接受酒店页面。maxReviewsPerHotel 限制每家酒店的评论数，sortReviewsBy 决定排序，reviewScores 按评分筛选：

Shell

curl https://lovelyrouter.com/v1/tools/booking-reviews/run \
  -H "Authorization: Bearer $LOVELY_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "input": {
      "startUrls": [
        {"url": "https://www.booking.com/hotel/cz/jeromehouse.en-gb.html"}
      ],
      "maxReviewsPerHotel": 3
    },
    "max_results": 3
  }'