July 2017
Intermediate to advanced
398 pages
11h 54m
Chinese
Content preview from Python数据处理
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应用编程接口
｜
295
item_json[k] = str(v)
table.insert(item_json)
auth = tweepy.OAuthHandler(API_KEY, API_SECRET)
auth.set_access_token(TOKEN_KEY, TOKEN_SECRET)
api = tweepy.API(auth)
query = '#childlabor'
cursor = tweepy.Cursor(api.search, q=query, lang="en")
for
page
in
cursor.pages():
for
item
in
page:
store_tweet(item)
13.4
使用
Twitter
流式
API
进行高级数据收集
本章前文中提到过，有两种类型的
Twitter API
可以使用：
REST API
和流式
API
。
流式
API
同
REST API
相比有什么差别呢？下面进行了简单的概括。
•
数据是实时的，而
REST API
只返回已经发布一段时间的推文。
•
流式
API
缺乏普遍性，但是在未来，随着更多实时数据的生成和曝光，其可用性会变
得越来越高。
•
因为最新的数据很有趣，所以很多人对这部分数据很感兴趣，这意味着你可以在网络上
找到很多资源和帮助。
让我们创建一个脚本来收集来自流式
API
的数据。这个脚本会使用在这一章覆盖到的所有
知识。首先编写最基础的部分——输入值和
key
值。
from
tweepy.streaming ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.