使用场景

分析酒店或餐厅的 Tripadvisor 住客评论

Q: 可以读取哪些页面的评论？

Tripadvisor 的酒店、餐厅和景点页面。把页面链接粘贴到 startUrls 即可。

Q: 可以只获取某一时段的评论吗？

可以。since 接受 YYYY-MM-DD 格式的日期，只返回该日期之后的评论。

Q: 可以按星级过滤吗？

可以。ratings 字段用来选择包含哪些星级，默认包含全部。

Q: 一次运行最多能返回多少条评论？

maxItems 限制评论数量，该工具单次运行最多 500 条。

以 JSON 获取 Tripadvisor 评论的评分、标题、正文、日期和出行类型，看清住客夸什么、抱怨什么。

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

酒店和餐厅的经理们一条一条地读 Tripadvisor 评论，却看不出规律：每个月都有的噪音投诉、所有人都提到的那位员工。分析师和旅游采购方也想以同样的视角看一看竞争对手。Lovely Router 把评论作为数据交给你。发送地点链接，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。可以从脚本、报表任务或 AI 智能体中调用。

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。

分析酒店或餐厅的 Tripadvisor 住客评论. 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

复制地点链接
使用你自己物业的 Tripadvisor 页面，以及你要对比的那些地点的页面：酒店、餐厅或景点均可。
设置上限后运行工具
把链接发送到 POST /v1/tools/tripadvisor-reviews/run，在输入中带上 maxItems，在请求上带上 max_results。用 since 只读取近期评论，用 ratings 选择星级。
找出主题
用模型按话题对评论文本分组。统计每个话题的提及次数，并按评分和出行类型拆分。

一次请求获取 Tripadvisor 评论

Tripadvisor 评论在 startUrls 中接受页面链接。maxItems 限制评论数量：

Shell

curl https://lovelyrouter.com/v1/tools/tripadvisor-reviews/run \
  -H "Authorization: Bearer $LOVELY_API_KEY" \
  -H "content-type: application/json" \
  -d '{
  "input": {
    "startUrls": [
      "https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html"
    ],
    "maxItems": 3
  },
  "max_results": 3
}'