weibocrawl 0.0.13

download data of weibo retweet and comment

• easy to use as most of the data returned are pandas DataFrame objects

• can be easily saved as csv, excel or json files

• can be inserted into MySQL or Mongodb

Target Users

• financial market analyst of China

• learners of financial data analysis with pandas/NumPy

• people who are interested in China financial data

Installation

pip install weibocrawl

Upgrade

pip install weibocrawl –upgrade

Quick Start

wc=crawl.WeiboCrawl()
wc.update_info()
# 查询评论
df=wc.search_comments('4554794956226910', pn=1)
print(df)
# 查询转发
df=wc.search_retweets('4554976677862363', pn=2)
print(df)
# 导出
wc.excel_save()
# 查询历史微博
df=wc.search_weibo('1742666164', pn=3)
print(df)
# 查询用户信息
info=wc.get_user_info(r'1742666164')
print(wc.df_info)

return:

            open    high   close     low     volume    p_change  ma5
date
2012-01-11   6.880   7.380   7.060   6.880   14129.96     2.62   7.060
2012-01-12   7.050   7.100   6.980   6.900    7895.19    -1.13   7.020
2012-01-13   6.950   7.000   6.700   6.690    6611.87    -4.01   6.913
2012-01-16   6.680   6.750   6.510   6.480    2941.63    -2.84   6.813
2012-01-17   6.660   6.880   6.860   6.460    8642.57     5.38   6.822
2012-01-18   7.000   7.300   6.890   6.880   13075.40     0.44   6.788
2012-01-19   6.690   6.950   6.890   6.680    6117.32     0.00   6.770
2012-01-20   6.870   7.080   7.010   6.870    6813.09     1.74   6.832