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Simple weibo tweet scraper . Crawl weibo tweets without authorization. There are many limitations in official API . In general , we can inspect mobile site which has it's own API by Chrome.
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Crawl weibo data in order to research big data .
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Back up data for weibo's shameful blockade .
$ pip install weibo-scraper
Or Upgrade it.
$ pip install --upgrade weibo-scraper
$ pipenv install weibo-scraper
Or Upgrade it.
$ pipenv update --outdated # show packages which are outdated $ pipenv update weibo-scraper # just update weibo-scraper
Only Python 3.6+ is supported
$ weibo-scraper -h usage: weibo-scraper [-h] [-u U] [-p P] [-o O] [-f FORMAT] [-efn EXPORTED_FILE_NAME] [-s] [-d] [--more] [-v] weibo-scraper-1.0.7-beta 🚀 optional arguments: -h, --help show this help message and exit -u U username [nickname] which want to exported -p P pages which exported [ default 1 page ] -o O output file path which expected [ default 'current dir' ] -f FORMAT, --format FORMAT format which expected [ default 'txt' ] -efn EXPORTED_FILE_NAME, --exported_file_name EXPORTED_FILE_NAME file name which expected -s, --simplify simplify available info -d, --debug open debug mode --more more -v, --version weibo scraper version
- Firstly , you can get weibo profile by
nameoruid.
>>> from weibo_scraper import get_weibo_profile >>> weibo_profile = get_weibo_profile(name='来去之间',) >>> ....
You will get weibo profile response which is type of weibo_base.UserMeta, and this response include fields as below
| field | chinese | type | sample | ext |
|---|---|---|---|---|
| id | 用户id | str | ||
| screen_name | 微博昵称 | Option[str] | ||
| avatar_hd | 高清头像 | Option[str] | 'https://ww2.sinaimg.cn/orj480/4242e8adjw8elz58g3kyvj20c80c8myg.jpg' | |
| cover_image_phone | 手机版封面 | Option[str] | 'https://tva1.sinaimg.cn/crop.0.0.640.640.640/549d0121tw1egm1kjly3jj20hs0hsq4f.jpg' | |
| description | 描述 | Option[str] | ||
| follow_count | 关注数 | Option[int] | 3568 | |
| follower_count | 被关注数 | Option[int] | 794803 | |
| gender | 性别 | Option[str] | 'm'/'f' | |
| raw_user_response | 原始返回 | Option[dict] |
- Secondly , via
tweet_container_idto get weibo tweets is a rare way to use but it also works well .
>>> from weibo_scraper import get_weibo_tweets >>> for tweet in get_weibo_tweets(tweet_container_id='1076033637346297',pages=1): >>> print(tweet) >>> ....
- Of Course , you can also get raw weibo tweets by nick name which is exist . And the param of
pagesis optional .
>>> from weibo_scraper import get_weibo_tweets_by_name >>> for tweet in get_weibo_tweets_by_name(name='嘻红豆', pages=1): >>> print(tweet) >>> ....
- If you want to get all tweets , you can set the param of
pagesasNone
>>> from weibo_scraper import get_weibo_tweets_by_name >>> for tweet in get_weibo_tweets_by_name(name='嘻红豆', pages=None): >>> print(tweet) >>> ....
- You can also get formatted tweets via api of
weibo_scrapy.get_formatted_weibo_tweets_by_name,
>>> from weibo_scraper import get_formatted_weibo_tweets_by_name >>> result_iterator = get_formatted_weibo_tweets_by_name(name='嘻红豆', pages=None) >>> for user_meta in result_iterator: >>> if user_meta is not None: >>> for tweetMeta in user_meta.cards_node: >>> print(tweetMeta.mblog.text) >>> ....
- Get realtime hot words
hotwords = weibo_scraper.get_realtime_hotwords() for hw in hotwords: print(str(hw))
- Get realtime hot words in every interval
wt = Timer(name="realtime_hotword_timer", fn=weibo_scraper.get_realtime_hotwords, interval=1) wt.set_ignore_ex(True) wt.scheduler()
MIT
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