tiktok_demo.py

from TikTokApi import TikTokApi
import pandas as pd
api = TikTokApi()

__author__      = "Jack Bandy"


def simple_dict(tiktok_dict):
    to_return = {}
    to_return['user_name'] = tiktok_dict['author']['uniqueId']
    to_return['user_id'] = tiktok_dict['author']['id']
    to_return['video_id'] = tiktok_dict['id']
    to_return['video_desc'] = tiktok_dict['desc']
    to_return['video_time'] = tiktok_dict['createTime']
    to_return['video_length'] = tiktok_dict['video']['duration']
    to_return['video_link'] = 'https://www.tiktok.com/@{}/video/{}?lang=en'.format(
                to_return['user_name'], to_return['video_id'])
    to_return['n_likes'] = tiktok_dict['stats']['diggCount']
    to_return['n_shares'] = tiktok_dict['stats']['shareCount']
    to_return['n_comments'] = tiktok_dict['stats']['commentCount']
    to_return['n_plays'] = tiktok_dict['stats']['playCount']
    return to_return


# posted by user
n_videos = 100
username = 'washingtonpost'

user_videos = api.byUsername(username, count=n_videos)
user_videos = [simple_dict(v) for v in user_videos]

user_videos_df = pd.DataFrame(user_videos)
user_videos_df.to_csv('{}_videos.csv'.format(username),index=False)



# liked by a user
username = 'tiktok'
n_videos = 10

liked_videos = api.userLikedbyUsername(username, count=n_videos)#, proxy=None, language='en', region='US')
liked_videos = [simple_dict(v) for v in liked_videos]

liked_videos_df = pd.DataFrame(liked_videos)
liked_videos_df.to_csv('{}_liked_videos.csv'.format(username), index=False)



# recommended, individual
seed_users = ['tiktok', 'washingtonpost', 'charlidamelio', 'chunkysdead']
seed_ids = [api.getUser(user_name)['userInfo']['user']['id'] for user_name in seed_users]
suggested = [api.getSuggestedUsersbyID(count=20, startingId=s_id) for s_id in seed_ids]

for i in range(len(suggested)):
    print("\nSeed: {}".format(seed_users[i]))
    for u in suggested[i]:
        print('{} ({}, {} fans)'.format(u['subTitle'], u['title'], u['extraInfo']['fans']))

# recommended, crawler
tiktok_id = api.getUser('tiktok')['userInfo']['user']['id']
suggested_100 = api.getSuggestedUsersbyIDCrawler(count=100, startingId=tiktok_id)




# trending videos
n_trending = 20
trending_videos = api.trending(count=n_trending)
trending_videos = [simple_dict(v) for v in trending_videos]
trending_videos_df = pd.DataFrame(trending_videos)
trending_videos_df.to_csv('trending.csv',index=False)

Hi! Thank you for your code, it's very usefull! Is it possible to collect all videos belong to a given tag?

Hi! because I get the error "AttributeError: 'TikTokApi' object has no attribute 'byUsername'"

Hi @lonalore and @mattiaudisio! TikTok makes frequent changes to their systems to prevent scraping, so I'm not sure how much of this code will work now. I suggest checking out this project and the explanation here for some more recent, well-maintained tools. Best of luck!

@jackbandy ok, thank you so much

Thank you, it is very useful