Question

我想在特定时间段内获取包括关键字在内的所有推文。我有下面使用 Twitter API 的代码，但它只返回包含当天发布的关键字的推文。代码是用 Python 编写的，我使用 Twython 库。我怎样才能得到上一年的所有推特，包括关键字“水”？

import json

# Enter your keys/secrets as strings in the following fields
credentials = {}
credentials['CONSUMER_KEY'] = "*********"
credentials['CONSUMER_SECRET'] = "*********"
credentials['ACCESS_TOKEN'] = "*********"
credentials['ACCESS_SECRET'] = "*********"


# Save the credentials object to file
with open("twitter_credentials.json", "w") as file:
    json.dump(credentials, file)
    
    
# Import the Twython class
from twython import Twython

# Load credentials from json file
with open("twitter_credentials.json", "r") as file:
    creds = json.load(file)

# Instantiate an object
python_tweets = Twython(creds['CONSUMER_KEY'], creds['CONSUMER_SECRET'])

# Create our query
query = {'q': 'water',
#        'result_type': 'popular',
 #       'count': 10,
        'lang': 'en',
        }

import pandas as pd

# Search tweets
dict_ = {'user': [], 'date': [], 'text': [], 'favorite_count': []}
for status in python_tweets.search(**query)['statuses']:
    dict_['user'].append(status['user']['screen_name'])
    dict_['date'].append(status['created_at'])
    dict_['text'].append(status['text'])
    dict_['favorite_count'].append(status['favorite_count'])

# Structure data in a pandas DataFrame for easier manipulation
df = pd.DataFrame(dict_)
df.sort_values(by='favorite_count', inplace=True, ascending=False)
df.head(5)

获取特定时间段内包括关键字在内的所有推文

0 个答案: