需求：
获取天涯论坛上某关键字搜索出来的所有页面里面的每个帖子的楼主id和评论id
获取id间的对应关系，用于粒子群算法。
（实际上已匹配出用户id，评论内容，用户名等信息，需要的话自己改一下return 就行了）
分析：
天涯论坛所有界面都是静态页面，没有发现反爬机制。 没有速度限制，但是还是请合理采集不要过度占用网站资源（我爬的时候，速度快了服务器会反应不过来。。多试几次就行了）
搜索页面好像默认最高75页（所需数据不多，没有详细分析）
python库：pyquery， requests， urllib， time
解析库没有用Beautiful Soup用了pyquery 因为pyquery的CSS伪类选择器真的很强大，用起来很顺手
笔记：
1. 天涯网页加载比较慢，pq（url）语句对天涯不好用，用get设置timeout参数稳定一点
2.pyquery中items（）不像Beautiful Soup返回列表而是返回生成器
3. remove（）配合伪类选择器能弥补一点items（）的不足
4.利用set（）对列表实现去重，但数据会无序化。在对二维列表取重时要先将内层元素转化为元组，不然会报错
详细代码：
#账号列表
#对应关系二维列表
from pyquery import PyQuery as pq
import requests
from urllib.parse import quote
from time import sleep
id_list_file = r'.\data\id_list.txt'
relation_file = r'.\data\re_list.txt'
page = 75
key_word = '粮食'
def prase_all_page(urls):
"""
解析所有搜索页，获取帖子url，过滤无评论帖子
:param urls:
:return: content_urls
"""
content_urls = []
for url in urls:
sleep(1)
print('正在抓取：',url)
doc = pq(requests.get(url=url, timeout=30).text)
#print(doc)
doc('.searchListOne li:last-child').remove() #删除最后一个无用li节点
lis = doc('.searchListOne li').items() #获取content节点生成器
for li in lis:
reverse = li('.source span:last-child').text()
print('评论数：', reverse)
if int(reverse) <= 0:
continue
a = li('a:first-child')
content_url = a.attr('href')
content_urls.append(content_url)
return content_urls
def prase_all_content(urls):
"""
评论对应关系
:param urls:
:return:
"""
ids = [] #id列表
relations = [] #关系二元组
for url in urls:
print('正在解析：', url)
#sleep(1)
doc = pq(requests.get(url=url, timeout=30).text)
#main_id = doc('.atl-info span:first-child').attr('uid')
main_id = doc('.atl-head .atl-menu').attr('_host')
print('楼主id：', main_id)
#main_name = doc('.atl-info span:first-child').attr('uname')
#title = doc('')
if main_id and main_id not in ids:
ids.append(main_id)
comments = doc('.atl-main div:gt(1)').items() #通栏广告后的评论列表
for comment in comments: #处理评论
host_id = comment.attr('_hostid')
#user_name = comment.attr('_host')
comment_text = comment('.bbs-content').text()
replys = comment('.item-reply-view li').items() #评论回复
if host_id and (host_id not in ids):
print('评论id:', host_id)
print('评论内容：', comment_text)
ids.append(host_id)
if (host_id != main_id):
relations.append((main_id, host_id)) #添加楼主和评论的关系
print('评论关系:', main_id, '\t', host_id)
if replys != None:
for reply in replys:
rid = reply.attr('_rid')
#ruser_name = reply.attr('_username')
rtext = reply('.ir-content').text()
if rid and (rid not in ids):
print('回复id：', rid)
print('回复内容：', rtext)
ids.append(rid)
if rid != main_id and rid != host_id:
relations.append((host_id, rid)) #添加评论和评论回复的关系
print('回复关系:', host_id, '\t', rid)
return ids, relations
def file(id_list, relations):
"""
查重，写入
:param id_list:
:param relations:
:return:
"""
with open(id_list_file, 'w') as id_txt:
for id in id_list:
id_txt.write(str(id) + '\n')
with open(relation_file, 'w') as re_txt:
for relation in relations:
a = id_list.index(relation[0]) + 1
b = id_list.index(relation[1]) + 1
print('写入关系:', a, '\t', b)
re_txt.write(str(a) + '\t' + str(b) + '\n')
def run(key, page):
"""
:param key:
:param page:
:return:
"""
start_urls = []
for p in range(page):
url = 'http://search.tianya.cn/bbs?q={}&pn={}'.format(quote(key), p)
start_urls.append(url)
content_urls = prase_all_page(start_urls)
ids, relations = prase_all_content(content_urls)
ids_set = set(ids) #利用set去重，数据会无序化
ids = list(ids_set)
relations_set = set(relations)
relations = list(relations_set)
file(ids, relations)
if __name__ == '__main__':
run(key_word,page)
# urls = ['http://bbs.tianya.cn/post-worldlook-1886395-1.shtml',]
# ids, relations = prase_all_content(urls)我好像发现了实验室之前的学长写爬虫哈哈哈哈哈哈好巧 https://blog.csdn.net/zeng_w_j123/article/details/76640147 以示亲情?
