Twitter 完整档案搜索 - 学术 API

问题描述

我正在使用来自 Twitter 本身的示例代码，通过 Twitter 学术 API 进行完整的档案搜索。然而，在我看来，

json_response = connect_to_endpoint(bearer_token,'from:TwitterDev')

必须在 while 循环之前，因为现在这会导致不考虑分页，如

json_response = connect_to_endpoint(bearer_token,'from:TwitterDev',next_token)

我正确地看到了吗？

count = 0
flag = True

# Replace with your own bearer token from your academic project in developer portal
bearer_token = "REPLACE_ME"

while flag:
    # Replace the count below with the number of Tweets you want to stop at. 
    # Note: running without the count check will result in getting more Tweets
    # that will count towards the Tweet cap
    if count >= 1000:
        break
    json_response = connect_to_endpoint(bearer_token,'from:TwitterDev')
    result_count = json_response['Meta']['result_count']
    if 'next_token' in json_response['Meta']:
        next_token = json_response['Meta']['next_token']
        if result_count is not None and result_count > 0 and next_token is not None:
            for tweet in json_response['data']:
                # Replace with your path below
                f = open('/your/path/tweet_ids.csv','a')
                f.write(tweet['id'] + "\n")
            count += result_count
            print(count)
            json_response = connect_to_endpoint(bearer_token,next_token)
    else:
        flag = False
print("Total Tweet IDs saved: {}".format(count))

解决方法

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