Ctrip 携程酒店评价 & Trip.com Hotel Reviews Scraper | Global
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from $2.49 / 1,000 reviews
Ctrip 携程酒店评价 & Trip.com Hotel Reviews Scraper | Global
Extract guest reviews from Ctrip 携程 and Trip.com: review text, overall and per-dimension ratings, stay date, room type, traveller type, reviewer country and tier, photos, video and the hotel's own reply. 61 fields per review, plus a per-hotel rating summary. Search by link, name, district or city.
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from $2.49 / 1,000 reviews
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Ctrip Hotel Reviews Scraper 携程酒店评价采集 | China & Worldwide (2026)
每条评价 61 个字段,每家酒店另有 73 个字段的评分摘要。 中国大陆与全球酒店都能采。61 fields per review, plus a 73-field rating summary per hotel.
⚡ 两份输出,互不干扰:评价一条一行写入默认数据集,每家酒店的评分摘要写入summary数据集。
Reviews in the default dataset, per-hotel rating summaries in a separate one.
| Zen Studio 住宿与出行数据 • 酒店、机票与租房:住一晚要多少钱,住过的人怎么说 | |||
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Ctrip 携程 酒店评价 ➤ You are here |
房价与房型 Rates & rooms |
机票与酒店 Flights & hotels |
677 城租金 Rents, 677 cities |
Copy to your AI assistant
zen-studio/ctrip-hotel-reviews-scraper on Apify. Scrapes guest reviews for Chinese and worldwide hotels from Ctrip 携程 / Trip.com, with review text, per-dimension ratings, reviewer detail, photos, video and the hotel's reply. Call ApifyClient("TOKEN").actor("zen-studio/ctrip-hotel-reviews-scraper").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items for reviews. Per-hotel rating summaries live in a SECOND dataset: read run["output"]["summaries"], or open the "summary" dataset in Storage. Provide hotels (links, IDs, names, or a district/landmark) and/or city; at least one is required. Full spec: GET https://api.apify.com/v2/acts/zen-studio~ctrip-hotel-reviews-scraper/builds/default (Bearer TOKEN) → inputSchema, actorDefinition.storages.datasets, readme. Token: https://console.apify.com/account/integrations
核心功能 Key Features
- 每条评价 61 个字段 — 正文、总分与四项分项评分、入住日期、房型、出行类型、有用票数、酒店官方回复。
- 评价者资料 — 国家、累计评价数、贡献者等级、会员等级、头像。
- 照片与视频 — 每张照片三种尺寸,视频带封面与时长。
- 每家酒店一份评分摘要 — 分项评分对比同类型酒店均值、好评差评拆分、官方评价总结、住客最常提到的主题。
- 网站自带筛选器 — 按语言、出行类型、主题标签、关键词筛选,四种排序。
- 输入随便填 — 酒店链接、名称,或
外滩这样的商圈地标;中国大陆与全球酒店都能采。
三步开始 How to scrape Ctrip hotel reviews in 3 steps
- 打开 Ctrip Hotel Reviews Scraper 的 Input 页,把酒店链接粘进
hotels,或在city里填一个城市。 - 设定
maxReviews(每家酒店最多取多少条),需要的话再选排序与筛选。 - 点 Start,运行结束后在 Storage 标签导出 JSON、CSV、Excel、XML 或 HTML。评分摘要在
summary数据集里,用 Storage 标签的数据集下拉切换。
如何采集携程酒店评价 How to scrape Ctrip hotel reviews
基础:单家酒店 Basic: one hotel
{"hotels": ["https://hotels.ctrip.com/hotels/75329189.html"],"maxReviews": 100,"sortBy": "recent"}
酒店链接、酒店 ID、酒店名称都可以,也能混着填:
{"hotels": ["https://hotels.ctrip.com/hotels/75329189.html","https://hk.trip.com/hotels/detail/?hotelId=759807","75329189","上海外滩璞硯酒店"],"maxReviews": 50}
只看差评 Only the complaints
按评分从低到高排序,是最快找出问题的方式:
{"hotels": ["75329189"],"maxReviews": 100,"sortBy": "rating_asc"}
按城市采集 By destination
{"city": "上海","maxHotels": 25,"maxReviews": 50,"sortBy": "recent"}
按好评优先排序,因此先拿到的是该城市口碑最好、评价最多的酒店。
按商圈或地标 By landmark or district
{"hotels": ["外滩"],"maxHotels": 20,"maxReviews": 30}
填 外滩、西湖、三里屯 这类地名,会自动搜索该区域内的酒店。
按语言与出行类型筛选 Filter by language and traveller type
只要英文评价,且只要商务出行的:
{"hotels": ["75329189"],"maxReviews": 200,"reviewLanguages": ["2"],"travellerTypes": ["10"]}
reviewLanguages 与 travellerTypes 在 Input 页是下拉多选,不用记 ID。
按主题标签与关键词筛选 Filter by topic and keyword
{"hotels": ["75329189"],"maxReviews": 100,"topicTags": ["前台熱情好客"],"keyword": "早餐"}
主题标签因酒店而异——每家酒店有自己的一组标签。填名称即可,会自动与该酒店实际拥有的标签匹配;某家酒店没有的标签会被跳过,不会让运行失败。每家酒店的完整标签列表(含各自条数)都在评分摘要里。
海外酒店 International hotels
{"hotels": ["Grand Nikko Tokyo Daiba", "Le Meurice Paris"],"maxReviews": 50,"language": "en-XX"}
输入参数 Input Parameters
| 参数 Parameter | 类型 Type | 说明 Description |
|---|---|---|
hotels | array | 酒店链接、酒店 ID、酒店名称,或城市/商圈/地标。可混合填写。 |
city | string | 搜索整个城市,例如 上海、成都、Shanghai。 |
maxHotels | integer | 搜索最多采集多少家酒店,整轮运行合计。默认 10。直接指定的酒店不占用此额度。 |
maxReviews | integer | 每家酒店最多采集多少条评价。默认 100,上限 10000。 |
sortBy | string | recent 最新(默认)、relevant 最相关、rating_desc 评分由高到低、rating_asc 评分由低到高。 |
reviewLanguages | array | 只要这些语言写的评价,多选。留空表示不限。 |
travellerTypes | array | 家庭、情侣、商务、好友、独自、为他人预订、其他。多选。 |
topicTags | array | 只要提到这些主题的评价,填标签名称。 |
keyword | string | 只要包含该关键词的评价,例如 早餐、停车、隔音。 |
language | string | 输出语言:酒店名称、房型、标签的语言。不翻译评价正文。 |
hotels 与 city 至少填一个。
能采集哪些数据 What data can you extract from Ctrip reviews?
评价数据集(默认) — 一条评价一行,61 个字段:
| 组别 Group | 字段 Fields |
|---|---|
| 酒店定位 | hotelId hotelName hotelNameEn star city cityEn district address score scoreLabel reviewCount hotelUrl ctripUrl hotelRatingOverall hotelRatingLabel |
| 评价本体 | reviewId posted stayed rating ratingScale ratingLabel subRatings text language recommend |
| 住宿情境 | travelType travelTypeId roomName roomId |
| 评价者 | nickname userId country countryCode userReviewCount userPhotoCount userHelpfulVotes userGrade userGradeTitle userGradeDescription isAnonymous avatar memberTier memberTierCode memberTierType |
| 互动 | helpfulVotes canMarkHelpful hotelReply hotelReplyDate hotelReplies |
| 媒体 | images photos videos |
| 溯源 | source sourceId sourceFromCode isTripComment status shareCommunityStatus outputLanguage sortBy scrapedAt |
评分摘要数据集(summary) — 一家酒店一行,73 个字段,其中最有价值的几个:
| 字段 Field | 内容 What it is |
|---|---|
ratingDimensions | 四个分项评分,每项带该酒店的分数和同类型酒店的平均值 |
sentiment | 好评 / 差评 / 带图评价 / 全部 的数量拆分 |
aiSummary | 网站自己发布的评价总结,按主题分条,每条带依据的评价条数 |
recommendTags | 住客最常提到的主题,带条数、正面比例和代表性原句 |
filterMenus | 全部语言、出行类型、房型、主题标签,各自带评价条数 |
collapsedReviews | 网站折叠掉、不计入可筛选列表的评价条数 |
totalReviews / filterableReviews | 评价总数,以及其中可翻页筛选的条数 |
输出示例:一条评价 Output example: one review
{"hotelId": "75329189","hotelName": "上海外灘璞硯酒店","hotelNameEn": "The Bund Puyan Hotel, Shanghai","star": 5,"city": "上海","cityEn": "Shanghai","district": "上海 | 鄰近南京路步行街","address": "外灘核心區","score": 9.4,"scoreLabel": "非常好","reviewCount": 16663,"hotelUrl": "https://hk.trip.com/hotels/detail/?hotelId=75329189","ctripUrl": "https://hotels.ctrip.com/hotels/75329189.html","hotelRatingOverall": 9.4,"hotelRatingLabel": "非常好","outputLanguage": "zh-HK","sortBy": "recent","scrapedAt": "2026-08-10T18:31:18+00:00","reviewId": 2036714689,"posted": "2026-07-26 14:07:12","stayed": "2026-07-01 00:00:00","rating": 10,"ratingScale": 10,"ratingLabel": "傑出","subRatings": {"location": 10,"facility": 10,"service": 10,"room": 10},"text": "來上海遊玩入住外灘江景大床房,體驗感超出預期!酒店設施嶄新完善,房間打掃乾淨舒適。推開窗就能望見東方明珠,傍晚華燈初上,璀璨夜景盡收眼底,氛圍感十足。\n地理位置優越,散步可達外灘,出行遊玩十分方便。整體環境安靜宜人,非常適合度假。美景令人難忘,真心推薦!下次來上海,還打算帶上小朋友再次入住欣賞迷人江景。👌🏻","language": "zh","travelType": "家庭旅遊","travelTypeId": 30,"recommend": true,"roomName": "外灘江景大床房","roomId": 313820735,"nickname": "訪客","userId": "","country": "中國內地","countryCode": "CN","userReviewCount": 1,"userPhotoCount": 3,"userHelpfulVotes": 0,"userGrade": 1,"userGradeTitle": "新晉評價之星","userGradeDescription": "已發佈1–4條評價的用戶。為多間酒店撰寫評價即可提升等級。","isAnonymous": false,"avatar": "https://ak-d.tripcdn.com/images/27c2u12000na9jl4c55A2_C_130_130_Q70.jpg","memberTier": null,"memberTierCode": null,"memberTierType": null,"helpfulVotes": 1,"canMarkHelpful": true,"images": ["https://ak-d.tripcdn.com/images/0230n12000taen3iu6E42_W_1280_853_R5_Q70.jpg?proc=autoorient","https://ak-d.tripcdn.com/images/0231r12000taemg90C5F5_W_1280_853_R5_Q70.jpg?proc=autoorient","... 1 more"],"photos": [{"imageId": 705820625,"small": "https://ak-d.tripcdn.com/images/0230n12000taen3iu6E42_W_350_350_R5_Q70.jpg?proc=autoorient","medium": "https://ak-d.tripcdn.com/images/0230n12000taen3iu6E42_C_600_600_R5_Q70.jpg?proc=autoorient","large": "https://ak-d.tripcdn.com/images/0230n12000taen3iu6E42_W_1280_853_R5_Q70.jpg?proc=autoorient","subject": "周边","subjectId": 12,"qualityScore": 4.614,"status": 0},{"imageId": 705820627,"small": "https://ak-d.tripcdn.com/images/0231r12000taemg90C5F5_W_350_350_R5_Q70.jpg?proc=autoorient","medium": "https://ak-d.tripcdn.com/images/0231r12000taemg90C5F5_C_600_600_R5_Q70.jpg?proc=autoorient","large": "https://ak-d.tripcdn.com/images/0231r12000taemg90C5F5_W_1280_853_R5_Q70.jpg?proc=autoorient","subject": "周边","subjectId": 12,"qualityScore": 3.6934,"status": 0},"... 1 more"],"videos": [{"videoId": 9631325,"url": "https://video.c-ctrip.com/videos/230ecn14x9a49011t2FEC.mp4","cover": "https://ak-d.tripcdn.com/images/0205312000taf4yfv35EA_W_350_350_R5_Q70.jpg?proc=autoorient","seconds": "19.25","status": 0}],"hotelReply": "尊敬的賓客您好,由衷感謝您在上海度假行程之餘,用心寫下這份真摯飽滿的入住體驗,前廳部全體同仁仔細品讀了您的留言,能夠看到外灘江景大床房帶給您超出預期的旅居感受,我們心中滿是欣喜與感動。十分榮幸您選擇外灘江景大床房開啟這段上海旅程。客房潔凈舒適的環境、嶄新完備的設施能夠得到您的認可,是酒店客房部與工程部持續堅守工作標準最好的回報。客房團隊始終嚴格執行標準化清潔流程,不放過任何一處邊角細節,力求每位賓客步入房間之時,都能擁有清爽放鬆的休憩空 ...","hotelReplyDate": "2026-07-26 00:00:00","hotelReplies": [{"text": "尊敬的賓客您好,由衷感謝您在上海度假行程之餘,用心寫下這份真摯飽滿的入住體驗,前廳部全體同仁仔細品讀了您的留言,能夠看到外灘江景大床房帶給您超出預期的旅居感受,我們心中滿是欣喜與感動。十分榮幸您選擇外灘江景大床房開啟這段上海旅程。客房潔凈舒適的環境、嶄新完備的設施能夠得到您的認可,是酒店客房部與工程部持續堅守工作標準最好的回報。客房團隊始終嚴格執行標準化清潔流程,不放過任何一處邊角細節,力求每位賓客步入房間之時,都能擁有清爽放鬆的休憩空 ...","date": "2026-07-26 00:00:00","language": "zh","type": 3,"collapsed": true,"images": []}],"source": "ctrip","sourceId": 1,"sourceFromCode": 1,"isTripComment": false,"status": 3,"shareCommunityStatus": 0}
输出示例:评分摘要 Output example: the rating summary
{"hotelId": "75329189","hotelName": "上海外灘璞硯酒店","hotelNameEn": "The Bund Puyan Hotel, Shanghai","star": 5,"hotelType": "SINGLE","propertyType": "酒店","hourlyRoom": false,"score": 9.4,"scoreOutOf": 10.0,"scoreLabel": "非常好","subScores": {"衛生程度": "9.4","設施": "9.2","位置": "9.4","服務": "9.4"},"reviewCount": 16663,"reviewQuote": "在黃埔灘欣賞東方明珠的夜景,距離黃埔灘非常近。","reviewTags": ["前台熱情好客"],"award": "入選上海全球旅客精選酒店","awardRank": 24,"highlights": ["東方明珠夜景","適合打卡","... 8 more"],"city": "上海","cityEn": "Shanghai","cityId": 2,"provinceId": 2,"countryId": 1,"isOversea": false,"address": "外灘核心區","district": "上海 | 鄰近南京路步行街","lat": 31.246224,"lon": 121.488844,"coordinateSystem": "BD09","leadPrice": "CNY906","isAd": false,"hotelImages": ["https://ak-d.tripcdn.com/images/1mc2w12000riejmmg0E02_R_600_600_R5_D.jpg_.webp","https://ak-d.tripcdn.com/images/02011120009lt12n7F86E_R_600_600_R5_D.jpg_.webp","... 3 more"],"hotelVideo": "https://video.c-ctrip.com/videos/u00ccn14x98cxs2s6DABC.mp4","hotelImage": "https://ak-d.tripcdn.com/images/1mc2w12000riejmmg0E02_R_600_600_R5_D.jpg_.webp","hotelUrl": "https://hk.trip.com/hotels/detail/?hotelId=75329189","ctripUrl": "https://hotels.ctrip.com/hotels/75329189.html","ratingOverall": 9.4,"ratingScale": 10,"ratingLabel": "非常好","positiveTip": "連續獲58名住客好評","ratingType": 1,"tripRating": "T","commentRatingType": "UNKNOW","tagType": "DEFAULT","totalReviews": 16663,"filterableReviews": 10885,"collapsedReviews": 5763,"shownReviewCount": 16663,"packageReviewCount": 0,"commentsBeforeDecoration": 0,"commentsDuringTrialOperation": 0,"sentiment": {"all": 16663,"positive": 16366,"negative": 282,"withMedia": 2712},"sentimentBreakdown": [{"id": 1,"name": "所有評價","count": 16663},{"id": 2,"name": "正面評價","count": 16366},"... 2 more"],"aiSummary": {"title": "評價摘要","label": "由 AI 提供","excitationText": "58位住客給予高評分。","disclaimer": "我們使用 AI 根據真實的 Trip.com 評價生成此總結。AI 總結更新需時,因此可能未包括最新評價。","items": [{"title": "地理位置","conclusion": "酒店地處市中心,鄰近南京東路步行街、外灘、人民廣場等熱門地點,步行即可到達多個景點和商圈。交通非常便利,酒店緊鄰地鐵2號線和10號線換乘站,出行無需煩惱。不僅適合觀光遊客,也非常便利商務出行。周邊擁有豐富的餐飲和購物選擇,生活配套完善。(基於4,630則評價)","positive": true,"reviewCount": 4630,"tagIds": [77,85,"... 5 more"],"sceneId": null},{"title": "房間景觀","conclusion": "房間景觀極佳,許多房間可以直接看到外灘、東方明珠塔和陸家嘴三件套。落地窗設計讓客人在房間內即可欣賞美麗的城市夜景,夜晚燈光璀璨,氛圍感滿分。這樣的觀景體驗讓入住變得更加愉快和難忘。(基於29則評價)","positive": true,"reviewCount": 29,"tagIds": [25,37,"... 1 more"],"sceneId": null},"... 2 more"],"sceneSummary": [{"title": "與您相似用戶的點評","conclusion": "酒店位置極佳,步行5至10分鐘可到南京東路步行街及外灘,周邊有多家食店及便利店,出行十分方便。房間乾淨整潔,部分房型可看到東方明珠塔及陸家嘴三件套的夜景,景觀優美。工作人員服務熱情,主動幫忙拿行李,甚至送到房間或裝上車,門口禮賓部每次見面都親切打招呼。酒店設施齊全,有機器人送餐及洗衣房,適合家庭及旅遊居住。","positive": false,"reviewCount": 8865,"tagIds": [14,25,"... 6 more"],"sceneId": 1019}]},"aiSummaryFilters": [{"id": "6","name": "附有相片或影片之評價","count": 2712},{"id": "75329189_zh_hk_14db4000-9c57-41c9-b4ec-f4f66d09e590","name": "與您相似用戶的點評","count": 8865},"... 4 more"],"excitations": [{"text": "58位住客給予高評分。","highlight": ["58"],"type": "4"}],"recommendTags": [{"id": 181,"name": "動人夜景","count": 570,"topic": null,"positiveRatio": 0,"sentences": null,"parentTagId": 150,"score": 4507.4735686665845},{"id": 155,"name": "河景壯觀","count": 235,"topic": null,"positiveRatio": 0,"sentences": null,"parentTagId": 150,"score": 3799.4385981952596},"... 5 more"],"negativeTags": [],"sameTypeLegend": [{"type": 1,"description": "本酒店"},{"type": 2,"description": "同類型酒店平均值"}],"ratingLevels": [{"ratingStart": 7.6,"ratingEnd": 8,"content": "好"},{"ratingStart": 8,"ratingEnd": 9,"content": "很好"},"... 5 more"],"ratingCalculation": {"entranceText": "如何計算評分","title": "如何計算評分","content": "為確保顯示的評分真實可信,我們不是使用簡單的平均值,而是根據評價的可信度和客人體驗的更新度進行科學計算,得出最終評分。"},"sortOptions": [{"orderby": 0,"name": "最相關"},{"orderby": 1,"name": "最近期"},"... 2 more"],"reviewExplainText": "真實住客評價","filterMenus": {"languages": [{"id": 3,"name": "中文","count": 15223},{"id": 2,"name": "英文","count": 957},"... 16 more"],"travelTypes": [{"id": 10,"name": "商務旅客","count": 4019},{"id": 30,"name": "家庭旅遊","count": 6634},"... 5 more"],"rooms": [{"id": 313820735,"name": "外灘江景大床房","count": 3387},{"id": 313820523,"name": "標準大床房","count": 2692},"... 22 more"],"tags": [{"id": 84,"name": "前台熱情好客","count": 628},{"id": 181,"name": "動人夜景","count": 570},"... 6 more"]},"ratingLocation": 9.4,"ratingFacility": 9.2,"ratingService": 9.4,"ratingRoom": 9.4,"ratingDimensions": [{"key": "location","label": "位置","score": 9.4,"sameTypeAvg": 9.4,"sameTypeLevel": 2},{"key": "facility","label": "設施","score": 9.2,"sameTypeAvg": 9.2,"sameTypeLevel": 2},"... 2 more"],"outputLanguage": "zh-HK","sortBy": "recent","scrapedAt": "2026-08-10T18:31:18+00:00","reviewsCollected": 200,"hasReviews": true}
进阶用法 Advanced Usage
口碑监控 Reputation monitoring
按 recent 排序、每家取 50 条,配合 Apify 的 Scheduler 每天跑一次,就能追踪评分与差评的变化。评分摘要里的 sentiment 与 ratingDimensions 是最适合画趋势线的两个字段。
在 Actor 页面的 Schedules 标签点 Create schedule,选每天或每周。监控类用途建议每天一次;评价的累积速度不需要更密。
竞品对比 Competitive set
用 city 或商圈拉一批酒店,只看 summary 数据集:一行一家酒店,直接对比分项评分与同类型均值。
{"hotels": ["外滩"],"maxHotels": 15,"maxReviews": 1}
maxReviews 设成 1,每家酒店就只取一条评价,其余成本都在那份摘要上——想快速扫一批竞品的评分表现时最划算。
找出具体问题 Surface specific complaints
{"city": "上海","maxHotels": 30,"maxReviews": 100,"sortBy": "rating_asc","keyword": "隔音"}
与房价数据对齐 Join with rate data
hotelId 在携程与 Trip.com 两边一致,也与 Ctrip Hotel Prices Scraper 的 hotelId 一致,可以直接把评价与房价对齐。
集成 Integrations
数据集可以直接推到 Google Sheets、Make、Zapier、Slack,或用 Webhook 在每次运行结束时推给你自己的服务。在 Actor 页面的 Integrations 标签设置。
Apify 官方的集成与定时任务教学视频:
价格 Pricing: Pay Per Event (PPE)
| 事件 Event | 价格 Price | 说明 |
|---|---|---|
| Review | $2.99 / 1,000 | 每条评价。Apify 套餐等级越高单价越低:Silver $2.79,Gold 及以上 $2.49。 |
| Hotel | $3.99 / 1,000 | 每家酒店一次,含那份评分摘要。Silver $3.79,Gold 及以上 $3.29。 |
| Actor start | $0.0049 | 每次运行启动。 |
| Result | $0.00001 | 默认数据集里的每条结果。 |
评分摘要写在第二个数据集里,因此不计入 Result 事件。
常见问题 FAQ
能拿到多少条评价?
热门酒店可达上万条。测试用的上海外滩酒店有 16,663 条评价,其中 10,885 条可以翻页取到,其余被网站折叠(collapsedReviews 会告诉你折叠了多少)。
评价会被翻译吗?
不会。评价正文始终是住客写下时的原文,language 字段标明语种。language 输入参数只影响酒店名称、房型、标签这些界面文字。
为什么摘要里的数字和我筛选后拿到的条数不一样?
摘要描述的是整家酒店,与筛选无关——这样你既能看到全貌,也能拿到筛选后的样本。totalReviews 是全部,filterableReviews 是可翻页的部分。
主题标签为什么要填名称而不是 ID? 标签是每家酒店各自一套的,同一个 ID 在不同酒店代表不同主题。填名称,采集器会与每家酒店自己的标签列表匹配。语言和出行类型则是全站通用的,所以直接下拉多选。
能只要带照片的评价吗?
目前不能按「有照片」筛选,但每条评价都带 photos 和 videos,导出后自行过滤即可;摘要里的 sentiment.withMedia 会告诉你这家酒店总共有多少条带图评价。
海外酒店支持吗?
支持。东京、巴黎、新加坡等地的酒店都能采,用 language: "en-XX" 输出英文界面文字更顺手。
为什么有的酒店返回 0 条评价?
可能是新开业酒店确实还没有评价,也可能是你的筛选条件在这家酒店上没有匹配。无论哪种情况,这家酒店仍会在 summary 数据集里留下一行,hasReviews 为 false,不会静默消失。
能导出成什么格式? 在运行页的 Storage 标签可以导出 JSON、CSV、Excel、XML 或 HTML,也可以用 Apify API 拉取。嵌套字段(分项评分、照片、摘要里的主题标签)建议用 JSON,CSV 会把它们压平。评价与评分摘要是两个数据集,分别导出。
需要自己配代理吗? 不需要。代理由采集器内部处理。
数据是公开的吗? 是。采集的是任何访客都能在网页上看到的公开评价,不需要登录,也不涉及任何账号数据。
More Zen Studio scrapers for Chinese platforms
🎬 Short-video & social
Douyin 抖音
RedNote 小红书
Xigua 西瓜视频
Bilibili 哔哩哔哩
🛒 E-commerce
Shopee
Taobao 淘宝
JD.com 京东
1688 阿里巴巴
Goofish 闲鱼
Coupang 쿠팡
🏠 Real estate & autos
Anjuke 安居客
58.com 58同城
Autohome 汽车之家
✈️ Travel & stays
Ctrip 携程
Support
有问题或需要新字段?在 Apify 的 Issues 标签提出即可。
Legal Compliance
本采集器只获取无需登录、任何访客都能看到的公开评价内容,不采集私人数据,不绕过任何登录。评价文本的著作权属于其作者与平台;请自行确认您的用途符合当地法律与平台条款,尤其是转载与再发布场景。GDPR 意义上的个人数据(如昵称、头像)请按您自己的合规要求处理。
携程与 Trip.com 酒店评价采集:评价正文、分项评分、入住日期、房型、出行类型、评价者资料、照片与酒店回复,另附每家酒店的评分摘要。
