### Install Pyktok and Dependencies Source: https://github.com/dfreelon/pyktok/blob/main/README.md Instructions for installing the Pyktok package and the required Playwright browser binaries via command line. ```bash pip install pyktok playwright install ``` -------------------------------- ### Launching Streamlit Interface Source: https://context7.com/dfreelon/pyktok/llms.txt Instructions for navigating to the project directory and starting the web-based graphical interface for Pyktok. ```bash cd pyktok streamlit run app.py ``` -------------------------------- ### Install Pyktok and Playwright Source: https://context7.com/dfreelon/pyktok/llms.txt Installs the pyktok Python package and Playwright browser binaries. Playwright is required for headless browser functionality used by some Pyktok functions. System dependencies may be needed on Linux. ```bash pip install pyktok playwright install playwright install-deps ``` -------------------------------- ### Pyktok Core API Functions Source: https://context7.com/dfreelon/pyktok/llms.txt Examples of using the Python API to perform single video downloads, batch URL processing, and page-level scraping. ```python pyk.save_tiktok(url, True, 'video_data.csv', browser_name) pyk.save_tiktok_multi_urls(url_list, include_video, 'tiktok_data.csv', 1) pyk.save_tiktok_multi_page(url, save_video, save_metadata=True, browser_name=browser_name) ``` -------------------------------- ### Initialize Pyktok with Browser Cookies Source: https://context7.com/dfreelon/pyktok/llms.txt Initializes Pyktok by extracting authentication cookies from a specified browser (Chrome, Firefox, Edge). This helps in avoiding rate limiting and accessing restricted content. It requires the browser to be installed on the system. ```python import pyktok as pyk pyk.specify_browser('chrome') pyk.specify_browser('firefox') pyk.specify_browser('edge') ``` -------------------------------- ### Launch Pyktok Streamlit interface Source: https://github.com/dfreelon/pyktok/blob/main/README.md Command to launch the Pyktok graphical user interface via Streamlit. This allows users to interact with the library's features through a browser window. ```bash streamlit run app.py ``` -------------------------------- ### Analyzing Extracted Metadata Source: https://context7.com/dfreelon/pyktok/llms.txt Shows how to load generated CSV metadata files into a Pandas DataFrame for statistical analysis and filtering. ```python import pandas as pd df = pd.read_csv('video_data.csv') print(f"Total videos: {len(df)}") print(f"Total views: {df['video_playcount'].sum()}") print(f"Average likes: {df['video_diggcount'].mean():.0f}") verified = df[df['author_verified'] == True] print(f"Videos from verified accounts: {len(verified)}") ``` -------------------------------- ### Extracting Video and User Data from JSON Source: https://context7.com/dfreelon/pyktok/llms.txt Demonstrates how to parse raw TikTok JSON responses to retrieve specific video metrics and author verification status. ```python if tt_json: video_id = list(tt_json.get('ItemModule', {}).keys())[0] video_data = tt_json['ItemModule'][video_id] description = video_data.get('desc') duration = video_data.get('video', {}).get('duration') stats = video_data.get('stats', {}) print(f"Video: {video_id}") print(f"Description: {description}") print(f"Duration: {duration} seconds") print(f"Play count: {stats.get('playCount')}") user_data = tt_json.get('UserModule', {}).get('users', {}) if user_data: user_id = list(user_data.keys())[0] user_info = user_data[user_id] print(f"Author verified: {user_info.get('verified')}") ``` -------------------------------- ### Initialize Pyktok Browser Source: https://github.com/dfreelon/pyktok/blob/main/README.md Initializes the Pyktok module by specifying the browser to be used for session cookies. ```python import pyktok as pyk pyk.specify_browser('chrome') ``` -------------------------------- ### Download Multiple TikTok Videos and Metadata Source: https://github.com/dfreelon/pyktok/blob/main/README.md Processes a list of TikTok URLs to save metadata and optionally videos to a specified CSV file, with an adjustable delay between requests. ```python tiktok_videos = ['https://www.tiktok.com/@tiktok/video/7106594312292453675', 'https://www.tiktok.com/@tiktok/video/7011536772089924869'] pyk.save_tiktok_multi_urls(tiktok_videos, False, 'tiktok_data.csv', 1) ``` -------------------------------- ### Download TikTok Data from Multi-Page Sources Source: https://context7.com/dfreelon/pyktok/llms.txt Downloads approximately 30 videos and/or metadata lines from a TikTok user page, hashtag page, or related videos section. It uses the TikTokApi library with Playwright for headless automation. The `headless` parameter can be set to `False` to troubleshoot `EmptyResponseException` errors. ```python import pyktok as pyk pyk.specify_browser('chrome') # Download metadata from a user's profile (around 30 videos) pyk.save_tiktok_multi_page( 'tiktok', # username without @ ent_type='user', save_video=False, metadata_fn='tiktok_user.csv' ) # Download videos and metadata from a user page pyk.save_tiktok_multi_page( 'charlidamelio', ent_type='user', save_video=True, metadata_fn='charli_videos.csv', sleep=4 ) ``` -------------------------------- ### Download Single TikTok Video and Metadata Source: https://github.com/dfreelon/pyktok/blob/main/README.md Saves a single TikTok video and its associated metadata to a CSV file. ```python pyk.save_tiktok('https://www.tiktok.com/@tiktok/video/7106594312292453675', True, 'video_data.csv') ``` -------------------------------- ### Scrape TikTok User or Hashtag Pages Source: https://github.com/dfreelon/pyktok/blob/main/README.md Downloads metadata from multiple videos found on a specific user profile or hashtag page. ```python # Scrape user page pyk.save_tiktok_multi_page('tiktok', ent_type='user', save_video=False, metadata_fn='tiktok.csv') # Scrape hashtag page pyk.save_tiktok_multi_page('datascience', ent_type='hashtag', save_video=False, metadata_fn='datascience.csv') ``` -------------------------------- ### Download TikTok metadata with save_tiktok_multi_page Source: https://context7.com/dfreelon/pyktok/llms.txt Downloads metadata from hashtags, users, or related video pages. It supports custom video counts and headless browser configuration to bypass potential extraction errors. ```python import pyktok as pyk # Download metadata from a hashtag page pyk.save_tiktok_multi_page('datascience', ent_type='hashtag', save_video=False, metadata_fn='datascience_hashtag.csv') # Download related videos from a specific video page pyk.save_tiktok_multi_page('https://www.tiktok.com/@tiktok/video/7106594312292453675', ent_type='video_related', save_video=False, metadata_fn='related_videos.csv') # Try with headless=False if encountering errors pyk.save_tiktok_multi_page('tiktok', ent_type='user', save_video=False, metadata_fn='tiktok_user.csv', headless=False) # Specify custom video count pyk.save_tiktok_multi_page('python', ent_type='hashtag', video_ct=50, save_video=False, metadata_fn='python_hashtag.csv') ``` -------------------------------- ### Download Multiple TikTok Videos from URLs Source: https://context7.com/dfreelon/pyktok/llms.txt Downloads videos and/or metadata from multiple TikTok URLs provided as a list or from a text file. It includes a configurable sleep time between requests to prevent rate limiting. The `save_video` and `metadata_fn` parameters control the output. ```python import pyktok as pyk pyk.specify_browser('chrome') # From a list of URLs tiktok_videos = [ 'https://www.tiktok.com/@tiktok/video/7106594312292453675', 'https://www.tiktok.com/@tiktok/video/7011536772089924869', 'https://www.tiktok.com/@charlidamelio/video/7123456789012345678' ] # Download metadata only with 2-second delay between requests pyk.save_tiktok_multi_urls( tiktok_videos, save_video=False, metadata_fn='tiktok_data.csv', sleep=2 ) # Download videos and metadata with longer delay to avoid bans pyk.save_tiktok_multi_urls( tiktok_videos, save_video=True, metadata_fn='tiktok_data.csv', sleep=5 ) # From a text file containing URLs (one URL per line) pyk.save_tiktok_multi_urls( 'video_urls.txt', save_video=True, metadata_fn='batch_data.csv', sleep=3 ) ``` -------------------------------- ### Download Single TikTok Video and Metadata Source: https://context7.com/dfreelon/pyktok/llms.txt Downloads a single TikTok video (MP4 or JPEG for slideshows) and/or its metadata to a CSV file. The function can save only the video, only the metadata, or both. If the video exists in the metadata file, it's appended as a new row. ```python import pyktok as pyk pyk.specify_browser('chrome') # Download video and save metadata to CSV pyk.save_tiktok( 'https://www.tiktok.com/@tiktok/video/7106594312292453675', save_video=True, metadata_fn='video_data.csv' ) # Download metadata only (no video file) pyk.save_tiktok( 'https://www.tiktok.com/@tiktok/video/7011536772089924869', save_video=False, metadata_fn='video_data.csv' ) # Download video only (no metadata) pyk.save_tiktok( 'https://www.tiktok.com/@tiktok/video/7106594312292453675', save_video=True, metadata_fn='' ) ``` -------------------------------- ### Download TikTok metadata and comments using Pyktok Source: https://github.com/dfreelon/pyktok/blob/main/README.md Functions to save metadata from related videos or extract specific comment counts from a TikTok video URL. These functions allow for local file saving and data retrieval, with a recommendation to manage request frequency to avoid server-side bans. ```python import pyktok as pyk # Download metadata from related videos pyk.save_tiktok_multi_page('https://www.tiktok.com/@tiktok/video/7106594312292453675', ent_type='video_related', save_video=False, metadata_fn='7106594312292453675.csv') # Download comments from a video pyk.save_tiktok_comments('https://www.tiktok.com/@tiktok/video/7106594312292453675', comment_count=30, save_comments=True, return_comments=False) ``` -------------------------------- ### Retrieve TikTok video JSON object Source: https://github.com/dfreelon/pyktok/blob/main/README.md Retrieves the raw JSON object associated with a specific TikTok video URL. This is useful for accessing deep metadata structures directly from the video page. ```python tt_json = pyk.alt_get_tiktok_json('https://www.tiktok.com/@tiktok/video/7011536772089924869?is_copy_url=1&is_from_webapp=v1') ``` -------------------------------- ### Retrieve raw JSON data with alt_get_tiktok_json and get_tiktok_json Source: https://context7.com/dfreelon/pyktok/llms.txt Extracts raw JSON metadata from TikTok pages using either the UNIVERSAL_DATA_FOR_REHYDRATION or SIGI_STATE script tags. These methods provide access to comprehensive video and author details not available in standard exports. ```python import pyktok as pyk import json pyk.specify_browser('chrome') # Get full JSON object using alt_get_tiktok_json tt_json = pyk.alt_get_tiktok_json('https://www.tiktok.com/@tiktok/video/7011536772089924869') # Get JSON using SIGI_STATE format tt_json_sigi = pyk.get_tiktok_json('https://www.tiktok.com/@tiktok/video/7106594312292453675') ``` -------------------------------- ### Extract TikTok comments with save_tiktok_comments Source: https://context7.com/dfreelon/pyktok/llms.txt Retrieves comment data from a specific TikTok video, including IDs, text, and engagement metrics. Data can be saved directly to a CSV file or returned as a pandas DataFrame. ```python import pyktok as pyk pyk.specify_browser('chrome') # Save comments to file pyk.save_tiktok_comments('https://www.tiktok.com/@tiktok/video/7106594312292453675', comment_count=30, save_comments=True, return_comments=False) # Return comments as DataFrame comments_df = pyk.save_tiktok_comments('https://www.tiktok.com/@tiktok/video/7106594312292453675', comment_count=30, save_comments=False, return_comments=True) print(comments_df.head()) ``` === COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.