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利用lxml中的etree 查询节点的某些属性值_vwgjk

vwgjk
  1. import urllib2
  2. from lxml import etree
  3. user_agent ='Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.6) Gecko/20091201 Firefox/3.5.6'
  4. headers = { 'User-Agent' : user_agent }
  5. myUrl='https://social.msdn.microsoft.com/Forums/zh-CN/home?searchTerm=win10&sort=relevancedesc&brandIgnore=true&page=1';
  6. req = urllib2.Request(myUrl, headers = headers)
  7. html=urllib2.urlopen(req).read()
  8. print 'size is: ',len(html)
  9. tree = etree.HTML(html)
  10. nodes = tree.xpath("//*[@id='homePageResultsContainer']/ul/*")
  11. items = []
  12. for node in nodes:
  13. n=node.xpath("./div/a/@href")
  14. print n
  15. '''fw=open('G:/java/1.txt','w')
  16. fw.write(html)
  17. fw.close()'''

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H7+2ZFefNFW9SrxDiYazHS/frZsSEo3JeYzT/nzz9nUpo010+5K06c70pw52YQPCjhr7oYvvWTHFnHzKCKCK/iXK2l+UOOV9t584DgauU0hvz6jSpukwuOZ68dgatPSSrF0cJdUDRvmI+atMWP8SpUT2nTBgivC6FZw8NMUFNRNGFCrSOGARggPAwsrC3Jr6E5WPD9Z297bOSo7LZmUgnv70YO65efmlHnluDxpNByLPJgaS+hzS5aEko+PC/XoUccwlZm2yLidIT6UwNybcuZ4jqjDEVTn4bpk72p+soaF5BOzj1DU4UhTxUh/iYCGQKVlwjFQtoxfT16BNcXkBoohAZ3dcrqwojndZ4qQLBawyXJzTrWUCWmSsJCp91Wfl5VBx+Z/QPP7OdGCAVUp5sxec1mJMEwMljzhwjnVcGarnS7iGZM7pDSqZUY8q5YW8UJYty5SfLX7+Cynd945xi/zbJEO0prPPw/mCWW5Jt1Wpc2QqHftuknzL421R+Q7adIpkR/S7tkTIyR12dn5ZG9vSTD7XtSZkzKBeR8yZJeg4cUXC/GBifsff7xoVMoEM/bHj8cLS5mQQq1aFSZogLQMFkKBTf36y4Rl0ORkndoAaJg69RyNGXNQCwM2cJY2VuJu62xLjjWcyNbIx4+IUOTnBkuLlr3kSwsHVKMr234ToegPmyb2oJOLP6PfnvEQYZFHN+rCkm/Rnqkv09xetrT0OW8KPxRE+mLOJJYMgQm3tC6OYZGixV+8mJkPJytbKzFxo7/AQe0hMDCVw5LENWpUoToKpLSqf4sWqWwdVIfBzp15bLE0kz/wRBZ086ZCL7+cTjExikF+3t4ptHgxPgR18eLjFRo9OoPc3ZNFvkuWFKppREUV0CuvpBMkvSgTZcMhzpQpWTRyZIYIGz8+g6DmAZUZ0Iq4PXveMZBsI828edn09NNpoqz//U+nqgGJs4dHsmBocUfaolLoH3/M5jGRSdm6ISHqhLqhjnCoC+oODOCOHMmjxx67I2gbMSJdY4L1sdOvJ9KcPp0vaEP5gwenwUtzsbEKnT+fTx07FjJPYLavXy+gbt1smGYiYHXoUJ7wUxPWqGFB7dpZMV2FTKip+UFNY+qeevMabXjvSbHKgrmqNFJvSE5VKfmf49pTasx1kT1U7vZP/4+Y1xCuL2GNDt4pxgT8S7OagwyN9WN1LHfuvJEWLQplK7orxLhWpZL681pg4FpauvQaq+7o2tPUvKY/T2KO0J9DTeGGNJjjMNdhDsXchzkQ1okvXEii55/3JTs7S6pVy5FefbUJr9DFibDJk0+xOtF5MX/Bou+VKymiCFP5IXDmzAu0cOFVURbmtbVrIzSyrP6aoyCYqVq/Go/5wr6kRSryEHfhEK0Z00a04dbJA7RQSJ7xrkIbYdVt+2eDKCs1QfQJ+F3aOIdX5HqKcFiBxpxmKo2WqYkHY/1BzWv16EC6tvsPmv+UsygLqzJw6JugAxfm0LD9q7XyTaXRf9cizYV1s6ggr3DcGCPP1Fiytrag//u/5jwH1WHhhe7doJ/eVFs4ujuS92M+tGHMn5QSkayfRDwb4znUSJB+R+wLI5+ujVQvsRo+xf1TwY/MCvierm2/KsJAd+On/On4T4fo6qYQfodoSeSDRKA4ArCYWdlccniSsnzQYiVs1zWFvyqNuszEDGXjG38qiFsadzv0tLLjq+FKbmaaFj142TfKgR/eYL90haULyrbPBimIx8uvyqwW3yvfuH2iXeteX63kpOdoaU09fPFFsHLoUJxB8IkT8cqrr+5TYmIyFGZelR9+uKBMn35eKeC6rVx5XWGmW/ifO5eojB59UElJyVH4JaIw06vAD2m++uq0smlTlEG+f/xxTcGlOuT3008Xld27b4q8IyLSOL8DSmRkmsLSKoVN1Sv8shJp0tNz1WTavSjtoPf55/cIGpA3v+wUxIH7888IZenSUCU/v0DQOm7cYeX06QQRhjgo99atTFH2Cy/sUUCLvkO6WbMuKuvXRwpv1GPw4J1KaGiKkpmZp0yceFw5evSWfpIyPe+bPkoJeusx5c6tSCXu4mFl/TtdFH6RKRmJscqK15srp5dPEe1+88weZccXQ5XcjHTl2PwPlbCDf3KfK1CSb1xRNk7sqaTcuKqcWzND+bkbGVzIH273J9u1PqL2l8gD4aWm9fLlfOXddzOUjIziScLD85UxY9KV5OQC5ebNAu5DaeKOmNu25SrTpmWKdtZPmZhYoPz3v+kK0sItXpzN/S2L20k/lsL9QVH+8590Zd26HCW3SFdAmoED7yhXruRz31OU997LUA4fLox0+3aBSIu76pCmT587yrVr+UpSUoHyyitpyokTeSLYWHw1He6g7+23MTZ0vsysKZMmZSg7dujKjI4uUMaOTed+VqCEheUrQ4emKSEh+aJOq1blKOPHp2tpkQNowaU6YDd8eJpy5kyewGvXrlzls88y1WBRtw8+yFBQrurUdgFOS5ZkK2+9lSGuAwcKcUBc1BH4ZBcWp2ZR6nt2eoqy6cPeypXtixSWJBpNh/4WdXyL0TBU6sqOxcqRX98X4Yi348thSl52YR0RgLkPcxz6fFGHPqv2X/WOvl2SY+ZVmTDhGPffQvCYHDHHYZ7D3IV55OWX9ynMfJud10JDU0W86Oh0hVcUFf05RaWj6BzF6jDKRx+dEPFzcwuU3367KuZAY3RdvpzMbXVMuXEjXenXb5syf/4VMdds2RIl/FlQwf3LeH4oX39eY+EE9/F9PDaNt5dKr6n7nbgI5c/xHZW4S0fEfIN5R51T9NMU8MA9vvBjJWTrQs3bbF/gWMbSaIn1Hsz1B0Qz9s7USy4eMU9u/rifmFvNpbm8eZ5yds10QVtmcrxIE3v+4F29a1Ee2kT/HSiIKuEn+vgN5Y8Bvylx52O1mCXxHNd2XFUOTdtnkh9B+g2j1ypZyYVjLiMhQ1k3crXCaohc78K5UitUPjyQCKSkpDCPV3iV/LlenG+/pz5YMtr6zgYKGB5I3l18DMrCl+rOj7ZSyPpLlJ+dR1XqVKV2b3Q0iFPaP/jaTwgNpsBhE8ja3lF8yasSTvcmHjT6zPjSZlVivODgBPHV7uWlW8bCEtr8+SEEaXJRxy8wfeGrFgwJDc/H2n9jD6mpubRvX6yB3nbt2o6iHCcna5o8uTUxQ06//HJZlP/jj49Q48ZVjWUl/KDv6etbhZo1cxXSQFtb3cJJTk4BHTgQK6RbkOqrDkvGqoMEqnp1eyH9ql/fhWJjM4Q0auHCK0KCHh+v08nVV6l5+mlvathQpy701VcPqVmV+956+AfkXL0uWVnb8jKxgyZ5ca5Rjxp3e1G0e80WjxOu7DuJdOPkNgr+40utPPsqHpTL/QQqAbggUWzQcQDVeaiHFqfz5CcJV0W5q1cLWOqbQVu25NKdO8TLrdZi85+XlwW3gxVdvJhPNWpYC2lw7946KS2k3ZMmZQqVCugxt2xpxSsOOooCAqyEXjMz2jRokC3VqWMp2vLGjQJycrJgqZ6NUK0oSv8zz9hy2+vae8oU88uvatrhw21ZGqlL8/DD1hQams/qHMUlVWp89f7GG4ZqXVacBLrZW7fmUufO1nTpUj7TYkWurhZ04kS+qF/jxrpyEL59ey6rRCgs8WSRtRF3/Xo+93NLAhaQatsW0VSBpN3e3oJQrr5jxlpI93m+ZN1iB7FpUz8cz87OFmK8qisPRcNL8/9OTBjZ2DuTd8eBpV5lQaEh2xbS8QUfUUbiTVGMqrJSpVYjwqrNodnjya/3SFabCiQLS0tW5XKk6r5taP/MMRQ45D2q3+EpsnNxFWnrdqxP7ydMLg25JcaBFPzatVR6441mQgqNea9799rCr1EjQ3VAc/Ma5sKS5rzz55N4LrsiLpWw0qis1K3rRP371+N2t6IWLdxZXSWCV3vyeEXEfH7qvGbFq1xIy8IEtdgy3aE77VrPn2o0eZiXGixYhcVeSw8JMQsJ6OzKqawOopPQPzJ6hhZu7MFcGkjK17/TmZKjLoukyAvzmbn+YKwM1S8x/DztnfYq3b56UqjFVKvbVJtb1Tj69/zcbIo6sYWu71tJh7lPqq75U2PJ86GKfdeqeZu713qoNnV853HayBLxp359Rqg5muI5kE8+ryKzQJACX2jDbVWYc+LVBNo+cTNF7g/j+hdQzTa1xV2N4eDmQF2/7ElBr64kC2tLaj60hRok7xIBDYFKx4Q7ejhSj6l9mRHfSA6uvHzUmRm7vzr+md9PUZXaVen/wiYQf1myvvg2rSLleuAXk5o5f5IRi9ZENlB7WTFkMaXe0E2A8PR/JoB6Tu9nUrdXJCzHDxjUn366RHPnXqYGDVzo66/bUtWqNrw0X0B4ebEEiZf9s/jemLp0qWm2BLy03NxsmVEZQDVrFmecwIDUr+/MDMVD9Ouvl8VGpQ8/DDSbJ1RLkA5OXU5GOfDfurUnNW+ue4nrYhT/1X1UKOToaE1Qbdm2LZo2beohGHJ16bp4qr/fB21vV8WdRvwezipG9UtNADbmHp150CD+iHUvEZiasroc1hSZPTtLMKDLljkL/eMPWQ0DDm3QvbuNYExbtMCmQIWaNtVxjSz1ZTwtWX2jGkH/evLkwo1DiLtxowurB+XR++9nUqtWVvTWW4Uv/LLSWNr4LNnnPqhjlEubRj8ePjg2bMhh1QGFWILNHyOlUwHSz0P/GUyT2o+LMsxgvlkKL9ReVEbczc2C1Xx0zP/EifYCVzD6YNb1nc6vOGOvH+dePKfcDKVza2dQ90/WUo2mDwsVAZamiqKq1GpIA384SlB3gNoVdLqfmLCYPzqdKHDo+9So67NChWDN2DbU6b+zqG7bnmJpfelTCw1IbTeuY4V+YCJzzAOm5jU3Nzv+tlCod++tlJOTzyoHAcwguxnQVPRPVlYeffppa3rttSYGQTExmYQPfV7x01QWoqLSWVXKTvuvJmAJupjPMKeZyk+NW5F3C0vueH91yoJ8naoV8ueVOwo/uJaemRNMLl4NSFUDMVe2uTQOrp40ZN6l4sm5bFP9oXhknQ8Y6lPcpxo+PoQGzDhMWSnxtGfaK6aiC3/MrRYWljRg5hHuq+0M4v6d71q14Jsnoung1L3UZ9YAcm/sIbxN8RwIjDsXI/YiuTYs7Iv53D+PsbpJk75+NGTFs2Kz5o6JW9QixD0zkVXoPtxCzYe0pGaDAwzC5B+JgIpApWPCQRh06vryANk+YTPru2WQ38DmglfO4wnXsTrvvOL3IL5MeVmJ2rxuOKjVipV0hxTAztmVbp7dQ1XrNKYLQT9SzNm91Iqlp3cjCYfONaQp7dpVFxM76IB0d9mya7zpsSbrsdqyLmE41a3rLF4G27bdYClmK5b41VTnY0E6JNZ4OezY0Vsw5SXVB+Eo29PTkZmXSNaFbCQkNcbSQT8cLyhXV0MJZNG4Hh72dPVqKkuxM4mXm3kj6FnWa68u8vXzq8aS1zCqV8+Z61ScQYK0HFKuM2cS6PbtLNbvdOK8Ulj6ai1exJCUrVkTznq63kWL/Uf+27JE0MmjNrFKAGETL1ZHSuMqUhIOBhp60dA1xj0oKJcgsVadt7cVbxLM4VWIPGamrRlLXUgWLyp4ePBeBeZ5WYVDMNyvvlrYtogHiTEkyb//zputmNlHGTExOj3nJ56wFmnVcsp7x9F+aPNr1wr4gyufj7zUiZyxiRFMLjYwursXETdzYdAJDw8v4BUcB5ac6koHzQ0aWIm64hjARo106WrVsuBTSvJYyl4gpO6bN+eKerm4GDLH+nXw8LBknd987scK92OFvv02i8dn4dRXr54V3bqVIz56gCMcmPCOHW24f+tWDoA58FIl/Wr+rLZCTZpYFZOiq+GluTu516L0hGixEuP9yAAhtS4pXQFvmrO0siaHatUp7VYknV/3Ezm519aSWdnYUa3ALoKJ2z/jP8SqB4IJxySD1aHmA8bxxrtsSrlxRTDh5ZWE29lZ8cdfhhjjkC7DQUJcrRo2rd7klRdfIURgtfoY+zYAACAASURBVDN6770WYiXO1LzG6iJiPvn110d5dcZ0e2qV5Ad/f1f67LNgMX9inv2LpxWrcJhjIeF+7jkdDdio+dZb/C5hB+EAhAoQdmzffoM/aKuJecxUfiJRBf44uHpRUsQFSouPotyMO3R03gTyatZJlFCQn0vWDs4s8KlCkDpf2f6bWLlTi7d1qkq3Lh+j2q27aX2lpDRq2mJ3E/0B8TAHpt+K4r55k6rW9hVJwVDn5WSJvpbPd9CG/qc6Y2ng596oFV3cMIfzaaytviDN3bxr1TJLfee5KXzPdTo26zD1mv6U4DPUtKZ4Dki4r2y8TL69mvAqVaFQAZsvwYhjnw8k5ZeDLlJKVLKaHaVGp9KO9zdRwIhWIq0qSNQiyAeJwF8IFPaqSgYJmG1InmNPx1DiNd3pKH7PNKcLK8/S997f0PWdoeTWyL1EqnHkIDYg6W8YERuVePLx7zeaQjbP43APHlBZ5NmsfKot+kT06VOXJ/VoZrKXaRszH33USzCv3bpt5tMXVvLEn8+nN+gmtcBAd35J7OGXlW4jEjYYnTx5W7xEwPxiAxA2KGHTETZsYkOUupHy7bePis2NCMfGULy4xo71E4yvmg4bIfXTIG779usEI6zSgHzhr24qVTeAQjL/yCM1+FpHrHfJGzR9tKoOHtxAnDzQvn1QsQ1U2AT15puHRZ2+++4cb7oLYEbJVqi1QEWlZcs1NHHiCVYxMFya1jL/Bx7A0LR96XN+uR2lhQOriU1HRTfy3muy7FlAPWyYrZBY+/mlMMOSz/2gkBkBY/rQQ9a8gpHDGzsLmdmnn7al1atzWMKYTLt25WkMK+jFJkhsRsTFeteskmLDH38kGNf33rPnNs9iBtJwY6apeuKIQWzI1N9oqb+pFJspLS2TePNmOp/VbUfe3rrppUoVCxowwJZeeild0FF0Y6ap8vDhgLpC4q8y5zga8Nln7XjMpDGjl8TqV3lCsg8VE2zGRD2fey5dXHjGZs2GDS25D1tz/0vhfpdJQ4ca6qPUrGkhTkWB+ovqIBEfNcqOP2jB5Cfxh0IWffyxg8BNjYPNm4cP5xls6FTDynK3Z0a6/WvfUvDSL3kjnpXoe+rGTHXzpboZT91MCcFB7cAnaPnLTWjdW4+RS43ClRf9Yw2Dxnekhp2HMbNeQ2zgw0Y+bKib18eeYs/tJ5/HB5eF1GJxMdY7dfLilYrNYh7A3KTOQ1DDw3zXv/92xtxHSLUx/k3Na3XqOIlNlti0jfkIcxhUTcAsm5qjIAwYMaKhWDFU51D9uRBzaePGK1gosYdef70JtW6tk3xCKt6q1Vq+1vDHVaZYaeRXAtNrPL9iFb9LD9f6/lS7VVda9kJDVu14hZr2fFXLsXqTtuTITPrvQzxpz7cvUrV6floYHnyffI43jf8p+oq6MbOkNAYZ/PVH/9ACY/3BxdOb6rTpTqtHBYo+g34FhrpZ39F04Mc3aNHg6pQSHSr6lpq/sTQIw7sWaoFLRtQReal0q+nKetfvD3gPqu8sc/mwjjaF77suBHxguos6YzxHalQKr5Ar5NWylkF0a3troTK7nRntH5tNI9YJFww5IoFBv7LuIrUd+wj59uYVmsIp3CAP+UciAAQsoBkvofhnEIAO4jvvHOWXSCM+v9uTJZQFghGGRDMgwE1IiqdM4QmZl3AhkQYj/N137VhapJM4/TNUy1IrCgGMvE2bcoWU9v/+796riFQU3cbyUU8jefZZQwbXWNzK6IdzwqGL//bbDoIhL4lGSOdxAgx07KELDwZOupIR2L07xuS8tmvXTbF35N13W4hVRDDT2L8yY0aHUq8GlkwBidNRPv74JH+gtuEVj8IVo9KklXEeIAR4fj76w0Gq3szT4FSUBwgBWdV7gEBqqqHByMI12XtQmMzSPAJYyn3yydr0wQfH+eizO+JFM3iwD40f34yX7wvEpp/mzVeLJdOAAFc2eNKSJeySATePauUPBcMKaS1UHoYMseXl9OL6+5W/Fv8uCnHmORhwPi2GVxLsNYM9pmqJDbIw6oP2kwy4KZSK+0PtA5sZjc1rUHXj0y7Eqh9SPvKIJ69ctKxQBrw4RdJHImACAf6wxr4I6SQC9xIBKQm/l+jKvCUCEgGJgERAIiARkAhIBCQCjEBRSXil1QmXrSURkAhIBCQCEgGJgERAIiAR+LciIJnwf2vLynpJBCQCEgGJgERAIiARkAhUWgQkE15pm0YSJhGQCEgEJAISAYmAREAi8G9F4F/FhKfFptGSPgvEGeIV0WDhh4Jo1cgWlB5/oyKyk3mUgEBcXCafLb2D9u6NLSGmDP4nEUD7oJ3QXtLdfwjI9rv/2kxSLBGQCPw7EbhvmfDcjFzaxlY1YXHrn3J5bNJ859cjCGeRm3V81NHuSdsJ1hWjDkbQou5zKZPPLIXDubp/h+VIHHGIs1Rx/i7OHJ806RQbJ2GLMPfA3biRTmPGHBTloDyc6aq6sLA72nnnql957+XBTj1fFnSpl3qWOsJwLNrf7UpbD7TX5MmntLPjVbrLS29FtkV5aTCV7vblePqt668UG3yT1o9cQ2cX
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