weibocrawl

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

Release files for weibocrawl 0.0.13

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for weibocrawl 0.0.13
File	Interpreter	ABI	Platform	Reset
weibocrawl-0.0.13-py3-none-any.whl 28.5 kB Dec 15, 2020	Python 3	none	any	Details

Release files / weibocrawl-0.0.13-py3-none-any.whl

Download URL	weibocrawl-0.0.13-py3-none-any.whl
Size	28.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`83d46306e0475e096ec958a2b28d256a04fcf7988d75e1bf0a93830d232a6ed1`
BLAKE2b-256 checksum How to use checksums	`9f3849aa6a5506bffc2373104e175d647622f5d9242f46cc2455ac0ab38978df`
Upload date	Dec 15, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`Python-urllib/3.8`