Python爬虫爬取有道实现翻译功能
作者：Huny
这篇文章主要介绍了Python爬虫爬取有道实现翻译功能,文中通过示例代码介绍的非常详细，对大家的学习或者工作具有一定的参考学习价值,需要的朋友可以参考下
准备
首先安装爬虫urllib库
pip install urllib
获取有道翻译的链接url
需要发送的参数在form data里
示例
import urllib.request
import urllib.parse
url = 'http://fanyi.youdao.com/translate_o?smartresult=dict&smartresult=rule'
data = {}
data['i'] = 'i love python'
data['from'] = 'AUTO'
data['to'] = 'AUTO'
data['smartresult'] = 'dict'
data['client'] = 'fanyideskweb'
data['salt'] = '16057996372935'
data['sign'] = '0965172abb459f8c7a791df4184bf51c'
data['lts'] = '1605799637293'
data['bv'] = 'f7d97c24a497388db1420108e6c3537b'
data['doctype'] = 'json'
data['version'] = '2.1'
data['keyfrom'] = 'fanyi.web'
data['action'] = 'FY_BY_REALTlME'
data = urllib.parse.urlencode(data).encode('utf-8')
response = urllib.request.urlopen(url,data)
html = response.read().decode('utf-8')
print(html)
运行会出现50的错误，这里需要将url链接的_o删除掉
删除后运行成功
但是这个结果看起来还是太复杂，需要在进行优化
导入json，然后转换成字典进行过滤
import urllib.request
import urllib.parse
import json
url = 'http://fanyi.youdao.com/translate?smartresult=dict&smartresult=rule'
data = {}
data['i'] = 'i love python'
data['from'] = 'AUTO'
data['to'] = 'AUTO'
data['smartresult'] = 'dict'
data['client'] = 'fanyideskweb'
data['salt'] = '16057996372935'
data['sign'] = '0965172abb459f8c7a791df4184bf51c'
data['lts'] = '1605799637293'
data['bv'] = 'f7d97c24a497388db1420108e6c3537b'
data['doctype'] = 'json'
data['version'] = '2.1'
data['keyfrom'] = 'fanyi.web'
data['action'] = 'FY_BY_REALTlME'
data = urllib.parse.urlencode(data).encode('utf-8')
response = urllib.request.urlopen(url,data)
html = response.read().decode('utf-8')
req = json.loads(html)
result = req['translateResult'][0][0]['tgt']
print(result)
但是这个程序只能翻译一个单词，用完就废了。于是我在进行优化
import urllib.request
import urllib.parse
import json
def translate():
centens = input('输入要翻译的语句:')
url = 'http://fanyi.youdao.com/translate?smartresult=dict&smartresult=rule'
head = {}#增加请求头，防反爬虫
head['User-Agent'] = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36'
data = {}#带上from data的数据进行请求
data['i'] = centens
data['from'] = 'AUTO'
data['to'] = 'AUTO'
data['smartresult'] = 'dict'
data['client'] = 'fanyideskweb'
data['salt'] = '16057996372935'
data['sign'] = '0965172abb459f8c7a791df4184bf51c'
data['lts'] = '1605799637293'
data['bv'] = 'f7d97c24a497388db1420108e6c3537b'
data['doctype'] = 'json'
data['version'] = '2.1'
data['keyfrom'] = 'fanyi.web'
data['action'] = 'FY_BY_REALTlME'
data = urllib.parse.urlencode(data).encode('utf-8')
req = urllib.request.Request(url,data,head)
response = urllib.request.urlopen(req)
html = response.read().decode('utf-8')
req = json.loads(html)
result = req['translateResult'][0][0]['tgt']
# print(f'中英互译的结果：{result}')
return result
t = translate()
print(f'中英互译的结果：{t}')
优化完成，效果还行。
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持脚本之家。