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Social Media Content & Comment Crawler - Xiaohongshu, Douyin, Bilibili, Weibo, Zhihu & More
A comprehensive tool designed for extracting content and comments from various popular Chinese social media and content platforms.
Python
Added on 2025年5月8日22,349
Stars6,335
ForksPython
LanguageProject Introduction
Summary
This project offers a set of specific crawlers targeting popular social media platforms, enabling users to extract content and user comments for various purposes.
Problem Solved
Provides a unified and programmatic way to collect publicly available data from multiple diverse social media platforms, addressing the challenge of manual data collection for research, analysis, or archival purposes.
Core Features
Xiaohongshu Note & Comment Crawler
Extracts content and comments from Xiaohongshu notes.
Douyin Video & Comment Crawler
Extracts content and comments from Douyin videos.
Kuaishou Video & Comment Crawler
Extracts content and comments from Kuaishou videos.
Bilibili Video & Comment Crawler
Extracts content and comments from Bilibili videos.
Weibo Post & Comment Crawler
Extracts content and comments from Weibo posts.
Baidu Tieba Post & Comment Crawler
Extracts content and comments from Baidu Tieba posts.
Zhihu Q&A/Article & Comment Crawler
Extracts content and comments from Zhihu questions, answers, and articles.
Tech Stack
Python
Requests
Parsing Libraries (e.g., BeautifulSoup, Lxml)
Potential framework (e.g., Scrapy - inferred)
使用场景
The crawler can be applied in various scenarios where large volumes of social media data are needed.
Scenario 1: Public Sentiment Analysis
Details
Collect comments on specific products or topics across platforms to understand public opinion and sentiment.
User Value
Gain insights into consumer feedback and brand perception based on real social media data.
Scenario 2: Data Source for AI/ML Projects
Details
Extract content and comment data for training natural language processing models or building content recommendation engines.
User Value
Obtain relevant and large-scale datasets directly from target platforms to improve model accuracy and performance.
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