The tool helps to download posts and videos from TikTok for a given set of hashtags over a period of time. Users can create a growing database of posts for specific hashtags which can then be used for further hashtag analysis. It uses the tiktok-scraper Node package to download the posts and videos.
[](https://badge.fury.io/py/tiktok-hashtag-analysis
- Make sure you have Python 3.6 or a later version installed
- And, you need to have node version 16. On Mac, do
brew install node
followed bynpm install -g n
and thenn 16
- Download and install TikTok scraper: https://github.com/drawrowfly/tiktok-scraper
- Install the tool with pip:
pip install tiktok-hashtag-analysis
- or directly from the repo version:
pip install git+https://github.com/bellingcat/tiktok-hashtag-analysis
- or directly from the repo version:
You should now be ready to start using it.
python3 tiktok-hashtag-analysis --help
usage: tiktok-hashtag-analysis [-h] [-t [T ...]] [-f F] [-p] [-v] [-ht HASHTAG] [-n NUMBER] [-plt] [-d] {download,frequencies}
Analyze hashtags within posts scraped from TikTok.
positional arguments:
{download,frequencies}
command to initialize
options:
-h, --help show this help message and exit
-t [T ...] List of hashtags to scrape (module: run_downloader)
-f F File name containing list of hashtags to scrape (module: run_downloader)
-p Download post data (module: run_downloader)
-v Download video files (module: run_downloader)
-ht HASHTAG, --hashtag HASHTAG
The hashtag of scraped posts to analyze (module: hashtag_frequencies)
-n NUMBER, --number NUMBER
The number of top n occurrences (module: hashtag_frequencies)
-plt, --plot Plot the occurrences (module: hashtag_frequencies)
-d, --print List top n hashtags (module: hashtag_frequencies)
$ tree ../data
../data
├── ids
│ └── post_ids.json
├── london
│ └── posts
│ └── data.json
├── newyork
│ └── posts
│ └── data.json
└── paris
└── posts
└── data.json
The data
folder contains all the downloaded data as shown in the tree diagram above.
- The
ids
folder contains two filespost_ids.json
andvideo_ids.json
that record the ids of the downloaded posts and videos for each hashtag. - Each hashtag has a folder with two subfolders
posts
andvideos
that store posts and videos respectively. The posts are stored in thedata.json
file in theposts
folder, and videos are stored as the.mp4
files in thevideos
folder.
Running the tiktok-hashtag-analysis download
command with the following options will scrape posts containing the hashtags #london
, #paris
, or #newyork
:
tiktok-hashtag-analysis download -t london paris newyork -p
and will produce an output similar to the following log:
$ tiktok-hashtag-analysis download -t london paris newyork -p
Hashtags to scrape: ['london', 'paris', 'newyork']
Scraped 963 posts containing the hashtag 'london'
Scraped 961 posts containing the hashtag 'paris'
Scraped 940 posts containing the hashtag 'newyork'
Successfully scraped 2864 total entries
- The
-t
flag allows a space-separated list of hashtags to be specified as a command line argument - The
-p
flag specifies that posts, not videos, will be downloaded
Running the tiktok-hashtag-analysis download
script with the following options will scrape trending videos containing the hashtag #london
:
tiktok-hashtag-analysis download -t london -v
- The
-t
flag allows a space-separated list of hashtags to be specified as a command line argument - The
-v
flag specifies that videos, not posts, will be downloaded
Note that video downloading is a time and data rate consuming task, as a result we recommend using one hashtag at a time when using the -v
flag to avoid complications.
The script tiktok-hashtag-analysis frequencies
analyzes the frequencies of top occurring hashtags in a given set of posts.
Assume we want to analyze the 20 most frequently occurring hashtags in the downloaded posts of the #london
hashtag.
-
The results can be plotted and saved as a PNG file by executing the following command:
tiktok-hashtag-analysis frequencies london 20 -p
which will produce a figure similar to that shown below:
In the above plot, the highest occurrence is the
#fyp
hashtag, which is tagged in more than half of all posts containing the#london
hashtag. -
The results can be displayed in tabular form by executing the following command:
tiktok-hashtag-analysis frequencies london 20 -d
which will produce a terminal output similar to the following:
Rank Hashtag Occurrences Frequency 0 london 960 1.0000 1 fyp 494 0.5146 2 uk 238 0.2479 3 foryou 221 0.2302 4 foryoupage 184 0.1917 5 viral 179 0.1865 6 fypシ 84 0.0875 7 funny 56 0.0583 8 xyzbca 51 0.0531 9 british 45 0.0469 10 england 44 0.0458 11 trending 40 0.0417 12 fy 33 0.0344 13 comedy 32 0.0333 14 roadman 28 0.0292 15 4u 27 0.0281 16 usa 26 0.0271 17 tiktok 26 0.0271 18 travel 21 0.0219 19 america 20 0.0208 Total posts: 960
The
Frequency
column shows the ratio of the occurrence to the total number of downloaded posts.