目录
- 快捷采集
- 初级教程(新版)
- 初级教程(老版)
- 数据转Excel处理
- 爬虫规则管理
- 高级教程(新版)
- 高级教程(老版)
- 用爬虫群分布式高效采集
- 爬虫关键知识拓展
- 问题集锦
- 实战演练案例
- 爬虫安装说明
- 关于集搜客
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采集猫途鹰三星评论
如何做到仅采集猫途鹰网站不同旅游景点的三星评论呢:'(大神求教!
猫途鹰部分评论无法抓取
任务名《武夷山猫途鹰评价》 数据网址:[url]https://www.tripadvisor.cn/Attraction_Review-g424920
猫途鹰游客评论该怎样爬取
猫途鹰的游客评论需点击“更多” 才可以获取完整评论 , url没变化 , 这样改怎样爬取?
【猫途鹰_景点搜索列表】#GooSeeker数据DIY#
本帖最后由 scraper 于 2016-12-20 16:07 编辑 [/i] [list] [*][b]标题:[/b]【猫途鹰_景点搜索列表】#GooSeeker数据DIY# [*][b]类别:[/b]旅游 [*][b]网站:[/b]猫途鹰B9%B0_%E6%99%AF%E7%82%B9%E6%90%9C%E7%B4%A2%E5%88%97%E8%A1%A8]猫途鹰
求助猫途鹰网站无法匹配问题
想请问下,为什么猫途鹰这个网站,抓取数据之后永远显示这个页面,然后提示匹配失败?
【猫途鹰_酒店点评信息】#GooSeeker数据DIY#
[list] [*][b]标题:[/b]【猫途鹰_酒店点评信息】#GooSeeker数据DIY# [*][b]类别:[/b]旅游 [*][b]网站:[/b]猫途鹰 [*][b]采集字段:[/b]名称、电话、点评人、点评人地址、点评关键词B9%B0_%E9%85%92%E5%BA%97%E7%82%B9%E8%AF%84%E4%BF%A1%E6%81%AF]猫途鹰
猫途鹰抓取文本无法样例复制
[i=s] 本帖最后由 ohyoo1 于 2019-2-20 18:25 编辑 [/i] 快捷采集下来文本全都没有显示完整,好像只能自己写规则,但是试了很多次都没有办法样例复制(出现了红蓝的闪框,也选择了绝对定位),请问是我节点选择错了吗?规则名是qingchengshan9
【猫途鹰_酒店搜索列表】#GooSeeker数据DIY#
本帖最后由 scraper 于 2016-12-20 16:12 编辑 [/i] [list] [*][b]标题:[/b]【猫途鹰_酒店搜索列表】#GooSeeker数据DIY# [*][b]类别:[/b]旅游 [*][b]网站:[/b]猫途鹰B9%B0_%E9%85%92%E5%BA%97%E6%90%9C%E7%B4%A2%E5%88%97%E8%A1%A8]猫途鹰
【猫途鹰_景点点评信息】#GooSeeker数据DIY#
本帖最后由 scraper 于 2016-12-20 16:08 编辑 [/i] [list] [*][b]标题:[/b]【猫途鹰_景点点评信息】#GooSeeker数据DIY# [*][b]类别:[/b]旅游 [*][b]网站:[/b]猫途鹰B9%B0_%E6%99%AF%E7%82%B9%E7%82%B9%E8%AF%84%E4%BF%A1%E6%81%AF]猫途鹰
猫途鹰英文点评抓取需要点击更多才能显示完全,怎么抓
如图,该怎么抓,看了教程之后抓取的还是不完整的
猫途鹰的评论星级抓取不成功,只有与我样本同星级的评论才有星级显示
1.我有几个问题想请教,首先我的样本内容选完之后,星级是//*[@class='ui_bubble_rating bubble_30'],我看其他人的class值是“class 3”或者“grade,class”这种。 1.jpg 2.测试的输出信息出来的是这样,只显示'ui_bubble_rating bubble_30'的星级,然后输出窗口的星级甚至出现了好几个表达式 2.jpg 2.1.jpg 3.昨天把这个“显示XPATH”的绝对定位改成偏好class,星级那里就正常是'ui_bubble_rating bubble_ 30 40 50这样,但从EXCEL复制数据到文本文档进行ROSTCM6情感分析时,格式完全错了,我只用了22条进行分析,结果出来有40条,重复计算了 [img]data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAvoAAABNCAIAAABYLVdmAAAS90lEQVR4nO2d7W8TRx7H51+BvAnGddT3FS+C8jrQRmZ1OC9QDqS+QOIFJgJKEgcpjtsXBFWkhQsPSqnR6S5OyBPkGtLq0uv5xIsjvqg9jh69pkAhdopjOwHiTbgX+zSzO7u21+vEXn8/+gnWs7OzMxOH3ycz60D+srD8l4QWMwvLGYd4+vTpWwAAAACAnYZAdwAAAADgbji6cwMAAAAAwEVwdGenDQwAAAAAwEk4upMGAAAA7HLjxg1j4bvvdmx/T2oa3YxxZxUUD3QHAACAkxgT87vvdkhhrPz27VscqAcqxhmD7pQJdAcAAICT6BKzmrmNxqO+xAENd8agO2UC3QEAAOAkSMyVALNaJtAdAAAAALgcju58CAAAAADgIrC6AwAAAABXcePGDd0D4NAdAAAAALgKO7pz7NOp5vMT73XfRtRoNJ+fOPbplMXb4vsfHn51769/GplAIBAIRC3GV/f++v0PDwtKwMDAQGdn5wm30NnZOTAw4IzuCB+Pfnh1/qdkdmNzC1Gj8VMy++HVeeHjUbNvgKVfll+k0hX/lZYAAAAqw4tU+tFPz6xdJ9zff/HixefPn4tu4fnz5xcvXgz39zugO/t6xn9eyb3Kby2vbyJqNF7lt35eye3rGbfQnZ3+VgUAAFAWBXUnGAwuLy9vbGw49R+B7zgbGxvLy8vBYNAB3Xmv+/abza3n65uImo43m1vvdd+G7gAAgFspqDsnTpwQRXGnFcVhRFE8ceKEQ7ojbj1b20TUdLwRoTsAAOBmitGdfD6/6i7y+bxjuvNa3HqSExE1Ha+hOwAA4GqK1B3rOjUHdAfBBHQHAADcDXSHxo7uvBK3fs6KiJqOV1WuO2PtpCmyWE03Xow0kfaxMpsprdgZym68ZkcOQJ1TpO68dIK/93gPfakdk0OHDhG1gMOX1qfLwGHdeZwRtbgVICbs6U08zoiPM4nOd8yqEPJOeIZuzZlIdL5DDt6yfXnsINWrywIhQszQfuByRnycEWd6fcWO6FagMoO1E/Z0R5/4tGS1GGmiToy1E0IImyPlMplCOa5iabBQ7obuGKiqkatvI937UPe2kttdjDQZ34kA1AvF6M7GxsaKE/yt2+u/ubKyctNPCPF2/23lpp/4/X7pO9N/U6phLgJyHSfY2NiooO4oWqPP7vxyMxUgvs5/KC//Ed5DyMFb8oFK0QZTnu7cCuzpjfEVTfYVxocYT7LoZM3rji43yWlwMdJEmiKRSCTSruSVsXYmwSxGmvSCM9ZurTyV1B17DVdV0i9AaX11trVKjlyT6jH1vSa//xbZUuod6OxkAFBDbJfu3PRr0uL3y+JyUzlQRMhwjWOCw+Kk7qznt35cFbWImq/uhBJMTcv4XCBEiKnH8rXx8B4S+FyqEw/vIb5TcbMWYge0s4lTXnIgWuyt2Uic8vpOxaU/2VPx8B5v+PMQvZyj9E3uAP3SENEA8Ybv2OmS87GeL113+LajHlM5hdEdNQcpP2o3NTUpP3mbpqHKrXeMtUN3KtnaNo1cvZDpnfqCWm2E7oC6pUjdSTnBt917/V+kUqkvlAUdv5/4u7v3Si++SKW+lY/N2Nv9rSMdSTmpO2v5rYdpUYtooDGUYEqsy00j1kpIa1R8GA0QEhiUCuPhRvU4LQ4KpDVqcbkvGJeOE0GvRU3LkO+eCHLX3bzhSW1oiaC3yL4pLUuXb0tw31Dq2bXSdce4ZKNtZJH2MboCXVU55uQnXTWZpsgimwa1U4xdaZU5VbQahK1JD0cr0l4U2MwybJtYNTOmdkLpuFWxYbRmHjDWTpoikXa1hm426F1D+ctCTzxnN0hroD3CcYPqGbluDpT7sduo+ouhO6BuKVJ3kk4w37XXP5xMJof9xD+cpA/kM0qFZHK+a+/ervlkcthPCFFr7+2ad6QjycrqDjezEkIUJzA7r6BKQDRAvIFW2lQY3aElJtaqXN0alarRrUk11TqalGgRDzdqesQol6I7xrNyTIZ8rVHxYTrWSumLUXcmtXWgwKBOd7RJo8VOQr7voKBUEWKOGA99qmTdMX9shwO7laDYDpXipEP1R3Dj1hadzvSp0ZC/bC0R2NEdJk3rLM7QjDYkbbvFvFg1ErU10zQ91k515O1ipJ1qT51YRiRpLdJqGHaA9E1X3cipFUKTutAdADSK0Z319fX/OsHdzj2EEHLw4EFOjj94Wal2mTq9p/OuI7fWsb6+7pjuvHyzNfdss4wYbfH0X+OfShzzENI2qpV83d9AAuel4+sBohyfb6MK5dZGW0jTsa+pduTKiWMe0vBRQn+vr/sbtPpa4bHroy0kcP5Z4pinqaVNv0RA5FOB81ILbYEWzpeWtFzfvPZRk9rbOWNXlTGeb5P6ljjmIS3XuZXLCrVLuvKXb0rTnZJsh+M2VDbTDg0LPybtU0s11K4YdYm0LlBaTrO3ukO/NCxDmTdjMlJ9sWFNitsVYxf16yLmumPc9mFb47lB9Yyc7ZMqTNAdALhsl+7IDqNJjVzIFlBnNNG5fNBx7XFSd357vTX7VFQi1uIJDz0VZ58mjnp8R+e4JeLsU3H2WqDhbIK+ZOisTymRY+isj7SFj3pIyzWlcC7cQKlGr64yUx5rIertEnQjQ2d9pC1G38gyYi0k0Ps0cdQTOHrW13JN7G0jLdcSRz2BXvmU9Ke+/71tVLfZDqgzQOSZkSvItMXU4VANxloMQ7YXhBBj4W+vS9Idi8d2eLCrO2xyVBcQmE0tM92hn3I2/iBPjFsyVF3r/Fmm7ij1imqmkFuYrluZzS5zS3US+GLjtO7s4Mh5s2AQ4wLdB6B+KFJ3HjnB9KnGA589evToswOGn/8bT03LlTgnVQ585kg/Hj2qnO6Is9cCpC1m1B3GBubCDVqmV32IVYS5cIPkK9cCWpqfCzcYU/5cuEE1A62Cs7oTayGBo2cNHzLX7qV3keJ1Z+isjyhd1fWtt40QYrA9beoci9J0p0TbYX/ipvKS7CfyEZuz1eWgCJ3EqDOUJ0XY7S3pkmI6RkFt59BOZb2ZZdyNMW+Gs/9jUWxojd7GM8wus5djvH0pusM8ZW6+mVUNI9c9f2y0YO4XD7oD6pYidec/TjAVbDwwKB0OHiCNwSmllCjFhvpKJYdxUndWXm/N/JKno+cDX8e9hQ6Pr+NefuaXkf2e8JWrAfLBiFJBPSXFyH5P+Ir+1EKHh+w+s6AUEvnye+HdJNDD3m7maoAohT0fEOV4ZD9R77LQ4SH7r8r1r5zxUZ1R4l54N6F7RXWPBHruhXd7wj1nfPuv5ns+IPuvLnR4Aj3SKbVNonZY7ol6R7mCMswrZ8I9Urc94StSn+X+jOwn0vFCx5kRtZ3dZxZmroblvnFnoOxYKUV3SrUd3QYDP4myUE/LGtOgfEJ7jFb/2Kz+6uKgWokUuboT4dzIvJkI/9fBmBQbHtg1GwvbRe7t6d83U0B32FuaPqpcFSM3bGvqS3kXQndA3VKM7qytrf3bCSZPNrZeol8RQghpPDnJVrvUKhdOnmxsPDn570utvFplsba25pjupF5vTS1tGOLBEY/vyOzG1NJIs6dvkDp17n3SPETVnO3bRVeY7dvl6TvyPiHk8Dm6kJDmIemAKtfuJf/71nxaq3DufUIIIZ6+waUHRzzaTQdP+8j7I/oOz/btIlKHdTHSTA4fOe3bdfrB4Glf85DU/wdHPIfPLY00k8PnpAYNd9EPU+0PIbtOP5ha2pgaOkykgc/27ZLPHD6i9m3osFwmTw41xiFjJ8uNVPG6U9pjO0oVfYLRclnpXgK2jSK+uLUGdAfULdumO5daCSGk9ZJiOZrSKP/it56UjlsvcVRIKnFKeiqlO2pGN4UyG336r9IYaSaye0m6I5dLOuLpGxw6zMqT6iVGLaveKF53bNgOtW9Vo+gf/dk5Bai8Jmof7WJ3lHYaJ0ZOr3IBUHcUqTvfuwtHdefV5vj/3iBqOlKvNqv6/8wC2wh/iwgAUOMUozu5XG7RXeRyOcd0J/lqc/Txa0RNRxK6AwAArga6A91BQHcAAMDlFKk7CXfhpO4sr2/++cdXiJqO5XXoDgAAuJlidCebzS64i2w265juvFjf/OOjdURNxwvoDgAAuJqCuhMMBpeWllKp1D/dQiqVWlpaCgaDDujOvtD4v55lfkznbz1cQ9Ro/JjO/+tZZl9oHLoDAABupaDu9Pf3X7hw4cmTJ1m38OTJkwsXLvT39zugO7/7ZOz3f5hf/DX7fE1E1Ggs/pr9/R/mf/fJmIXuvEild/pbFQAAgE1epNIFdSedTvf19QWDwRNuIRgM9vX1cUdasu6k0+lDH4/u6xl/r/s2okZjX8/4oY9HLb4BksnffnnxEoFAIBC1G8nkbwV1p36wozsAAAAAADUEdAcAAAAALge6AwAAAACXA90BAAAAgMuB7gAAAHAnd76aG528MzI+5ZoYnbxz56s5TJGN+YHuAAAAcCG3p+5+M//daiYjuojVTOab+e9uT93FFHGxmB/oDgAAABcSm5jOZLL5fD7nIvL5fCaTjU1MY4q4WMwPdAcAAIALGRmfEkVxp/Ov84iiODI+hSkyw2x+oDsAAABciCtzeQ66UwjoDgAAgDrClbk8B90pBHQHAABAHeHKXJ6D7hTCad2Jh7zEG4orx0JU/cuMAqeLrhMV1Bsbr6bP6F4aKxPTe0UF7Rz/fnQNs0pRgXCx6BUAAABnKDOX3x/u6hq+b/bSTnPHjw9M2m9ApTp1Z3LguIzdQU4OHD9e1hTLVGJ1R87xvKzOyej2dcdMGxTkS3QXG9uKh7xWzWh9jgpM/2m1Y2vwe6bcVteM2pjDusN0Qm2bGiwzDVFBX8JUhooBAFxC2bl8ckBNv9ShLe4Pdx0fGB7uckJ4qkF3NLlRKFdUJgeOdw0PlznNuVyugptZ2jKH0S+sPUWqbOkgUhWuNujub8j5bLveULyAaVA3iQreUNys79I6liDV1a3x6Iq2aXWHt7IUFWgLlM/HQ15CvIKgW9ayXOcCAIAaxWYuN2bycjP7/eEu5ZpytSmXqxbdcWIdhmpOWRS6X74SOqs7skuwWZanO1QN9rT6iinmv5CbkbK13GBUkO+v6g61teYNxZlbW/oSb2zW2T8qyIIlCFWyusPTHcremPP68XGUDQAAap/qeDBFv4lFuY9NqkN3nPNB/SaW5j72qMDqjuUiiM5B0kXpDqsC2hnpJtQSBbVwIb9gdUcQvGxGN673mK26aJs9eg9QtEEeMuVajkAtyJR+oU60tDUderq0M1RBVCBCSJ0ZiA8AwC04lcu7hu+ryxmlrWrQqkM/+1PeUyrVoTvOrO7QMzE5oFpOWQ86VUp3pEPFTHTrGSXqjpK3TTfH1NxtXNDgbWZRTxvzFlR4DwrFQ16v16vtszFLRPpns6Uyr0GivKFoIbPimIVt3WGmR+uwanecSWS1iFkyg/AAANxBObqjpVrWc6S/7g93Fd7wGh7Qr+owhmB/DaMWdKfwjqD0KJNuVYeeENvLYJXVHWWVw6A7hfO99rEu5mkeIcrqiLp5pUCt7LCd0SRFXXuhu6W1ytOdqCBEmaeRDEOkPMIrCMpCUlQQotJtGEcqaRfNAVQlY93MYjPL6hUAANQwO7+6Q1PuJ7s0qkd3uFJje5Q63bFNJXVHy61KkeGBmrTl6o4g6J8DkrdYlE2lwgslPN1R78KuQ9EeoFsSUu8d1dfmbluxG0GGlkx3zypmFNR+G39dKs3dzILuAADcR+VWd+zgKt25P9w1MMkTlHJGWb26I6mAyQYKJ2mafBDd/PPp5g8xMz2Qjvm6Y6hHfwzb7M60ACiX6pdpFAXzhqIhi9UdHmbP+9jdSZIenJY7Sz3gROsbYUVT/6iy8hqbWQAA94DVnUpNkTKW+tCdqECI9pRLMZStO7x1EianG0vVc9qjNtLT1fqne7jV6Z6wiyXUA0TxEnXH9Lck2ncNdey6NZxCq020JnEnDgAAahdHV3e4r0rBRbqjfpq+LjazlNUO80878dZiitQdk/Rd6uqO/hNLul+VbNrnqECEqOkOmv6O7CPR3KGzbUEpAABgGyhbd+RsLuVgJbXbzcju0R1N+epjdQcAAACoYqrj9+44z07rTrUD3QEAAFBHuDKX56A7hYDuAAAAqCNcmctz0J1CQHcAAADUEa7M5TnoTiGgOwAAAOoIV+byHHSnENAdAAAAdURsYjqTyebz+Z3Ov06Sz+czmWxsYhpTxMVifqA7AAAAXMjt6Zlv5r/LZnOii8hmc9/Mf3d7egZTxMVifqA7AAAA3MnY1N3YxPTI+JRrIjYxPTZ1F1NkY36gOwAAAABwOdAdAAAAALgc6A4AAAAAXE7JutMbHkAgEAgEAoGo8ihXd94CAACoTTKZzE53oVK4eGg2cNlslDqcTCYD3QEAgPrFZVmQxsVDs4HLZgO6AwAAoARclgVpXDw0G7hsNqA7AAAASmB1dXWnu1ApXDw0G7hsNkodzurqakHd+T/kMwA1s4X+XwAAAABJRU5ErkJggg==[/img] 我对代码一点都不懂,所以看完自定义XPath的内容,试着改,完全出错了,不知道要怎么弄,请大神帮看看!!!
猫途鹰_酒店点评信息快捷工具采集,按教程一步一步操作,为什么采集不到数据?
35 编辑 [/i] [url=https://www.gooseeker.com/res/rule_127.html]猫途鹰
猫途鹰的景点点评信息的采集,没有‘体验时间’这个信息,请问是要定义规则添加进去吗?
[i=s] 本帖最后由 挺你海陆 于 2020-4-13 14:50 编辑 [/i] 猫途鹰的景点点评信息的采集,没有‘
菜鸟山鹰
刚来到这里 ,搞一款爬虫玩玩不知道怎么样。
途牛迪士尼7.15
可以帮我看一下途牛迪士尼7.15任务失败的原因吗,谢谢