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返回200,但无全文 #12
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@yilu1015 ciphertext这个参数正确吗 |
import requests
headers = {
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.14; rv:76.0) Gecko/20100101 Firefox/76.0",
"Cookie": "HM4hUBT0dDOn80S=_wkz59snzaPmdO69oJWw7RwKvOLLkQX0DikwmBGlkQPmxpSSOx12K0bMQsZbsAnM; HM4hUBT0dDOn80T=4Cy7lu21LZTzgJixkyHmmEWZbRc8ka8p5n4j3VjY4QGDG1SvaYh_7s905F2vIqvUGdeqkJsKzN4nn207l2ZD5vCAYFgItnHeaHE9BgfeeFdxdrkPoybXDL1RJ7ZP_5WTlOs5R7awSBB_ft9xbGTXkYY4Yk3Cg4H5_iirToB6gyrJi67k95Ce8R.uGobThrdX2fAuiZF2ME1Wi9uIefdYS9UEajx44DAw2oi3R7X6o7XKmuyrMkU7h1DSW3I5XrUYu3wrrpNRSiTZoFndIDsOuiA9iKs2RnTnS3.v9Gi34m_msrGtVPkMlqjZxrXHzsjfKtO7; SESSION=ff5520e2-66e0-4bce-998e-02062e95b414"
}
res = requests.post(url="http://wenshu.court.gov.cn/website/parse/rest.q4w", data={
"docId": "83451b69d9ff46b6af96abeb00d51326",
"ciphertext": "110010+1000110+1100100+110100+1001001+1001101+1001010+1100001+1100100+1000100+1110111+110011+1001011+110010+1001100+1110101+110101+1110110+1101000+1101011+110000+1010010+1101101+1001111+110010+110000+110010+110000+110000+110111+110000+110110+1110100+110110+1101111+110010+1101001+1110011+1010011+110010+110100+1101110+1001000+1000011+1000100+1110110+1110111+1110001+110111+1000110+1001110+1110110+110100+1000001+111101+111101",
"cfg": "com.lawyee.judge.dc.parse.dto.SearchDataDsoDTO@docInfoSearch",
"__RequestVerificationToken": "SnhEAA5fkrhLG4Yqhv6ySDvi"
},
headers = headers)
print(res.text) 我测试是可以的啊,没问题 @yilu1015 返回结果如下 {"code":1,"description":null,"secretKey":"YuNfjorc70mO1Cllf6Isxf2B","result":"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","success":true} 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应该没问题。我用它成功获得了条目信息。跑出来就只有
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@nciefeiniu 参数如何设置有方法吗? 我当时看了#4 ,以为不需要。 |
我也是返回200但是没有全文, 楼主解决了吗 |
抱歉,这两周忙其他的项目,还没仔细研究。请问你抓全文是用APP版还是网页版?欢迎参考 #13。 |
已经解决了, 不过还有个问题是pyqt5可以获取cookie, 但是连续获取第二次的话会直接退出Process finished with exit code -1073741819 (0xC0000005), 请问你又出现吗 |
哦?请问问题出在哪里?我读了大牛的回答,以为是cookies的问题,看着要设置pyppeteer + asyncio,就还没做。所以最后还是请求设置的问题?谢谢指教! |
pyqt获取的cookie没问题, 我是formdata的queryCondition多了个逗号 |
谢谢提示。以下是我POST方法的请求数据,感觉没问题:你的formdata是怎么设置的? 至于pyqt退出问题,我也有同样问题。目前还在测试获取全文,我只是重启Jupyter kernel,实战如何解决,也还等大佬指教。
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能看到的就是headers里面cookie的c没大写,网站里的是大写 |
@yilu1015 老哥,你这个问题。。。。。。。。 今天有空,就来看看这个 现在这样做还是能爬取到数据的。 老哥你获取不到详细数据,是你请求携带的data 数据搞错了!!!!!! data = {
'docId': '199a3ed2137846f1bf17ac1d01116358' # 请注意这个 docId 的大小写
} 我自己看半天也没看出哪里错了。抓包一下就看到了。 |
老师,我想请教个幼稚的问题,我用了您的方法来获取文书网首页的访问量: res = requests.post(url="http://wenshu.court.gov.cn/website/parse/rest.q4w", data={ 其中,cfg 和 header01 都是我从xhr获取的,但总是得不到数据,报405错误,我明明用的post,报错信息却是: Request method 'GET' not supported 以下时我执行后的结果: HTTP Status 405 – Method Not AllowedType Status Report Message Request method 'GET' not supported Description The method received in the request-line is known by the origin server but not supported by the target resource. Apache Tomcat/8.0.53 |
成功用您的方法获得了三枚cookies,然后构造了请求headers和data。
如下:
最终返回200,但无全文。请问这是什么情况呀?
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