nghuyong/WeiboSpider
WeiboSpider
WeiboSpider is a social media scraper designed to extract user profiles, posts, and interaction data from the Sina Weibo platform. It functions as a web-based data crawler that retrieves information via external interfaces rather than parsing the visual frontend.
The tool includes a content lineage tracer to follow shared posts back to their original sources. It also features a social engagement analyzer to collect view counts and nested comment threads to measure user interaction metrics.
The system provides capabilities for keyword-based social monitoring and search result filtering to track specific topics over time. It manages large datasets through pagination-based iteration and recursive traversal of engagement threads.
Features
- Social Platform Data Extraction - Extracts user profiles, posts, and interaction lists from external platform interfaces to gather raw activity data.
- Sina Weibo Collections - Extracts user profiles, posts, and activity data from the Sina Weibo platform for analysis or archiving.
- Keyword-Based Trend Monitoring - Retrieves posts based on specific keywords and time ranges to track trends or specific topics over time.
- Social Media Filtered Searches - Retrieves targeted social media posts by applying specific keywords and time constraints via platform APIs.
- Social Interaction Mapping - Collects nested comment threads and interaction lists to model how users engage with social media content.
- API-Based Extractions - Retrieves raw social media content by making direct requests to platform interfaces instead of parsing the visual frontend.
- Web Crawlers - Retrieves large datasets of social media content based on keywords and specific time ranges via automated navigation.
- Social Media Scrapers - Extracts user profiles, posts, and interaction data from the Weibo platform via external interfaces.
- Social Media Sentiment Analysis - Gathers raw posts and engagement metrics to study public opinion and user behavior on social networks.
- Engagement Data Scrapers - Gathers detailed interaction data, such as view counts and nested comment threads, to measure user engagement.
- Content Lineage Tracing - Follows a chain of shared posts back to the original creator by repeatedly querying source identifiers.
- Content Originality Filters - Follows shared posts back to their original source to determine the lineage and history of specific content.
- Iterator-Based Pagination - Crawls large datasets by looping through sequential page offsets to ensure all matching search results are collected.
- Search Result Filtering - Retrieves posts based on keywords and time ranges while managing large datasets across multiple pages.
- Social Graph Analyzers - Collects view counts and nested comment threads to measure user interaction metrics and social graph structure.
- Post Comment Fetchers - Collects deep engagement threads by recursively fetching child responses associated with parent post identifiers.
Star history
How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
