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Weibospider is a distributed web crawler designed to extract posts, profiles, and interaction data from the Weibo social network. It functions as a social media data extractor that utilizes a distributed task queue to scale scraping operations across multiple worker nodes.
The main features of spiderclub/weibospider are: Social Platform Data Extraction, Keyword Search Crawlers, Social Media Profile Extractors, Distributed Web Crawling, High-Volume Data Collection, Distributed Task Queues, Social Media Scrapers, Social Media Platform Extraction.
Projects with overlapping indexed features include: dataabc/weibo-crawler — This project is a Sina Weibo web scraper and social media data pipeline designed to extract user profiles, posts,… nghuyong/weibospider — WeiboSpider is a social media scraper designed to extract user profiles, posts, and interaction data from the Sina… dataabc/weibospider — weiboSpider is a Python web scraper and social media crawler designed to extract user profiles, posts, and engagement… bisguzar/twitter-scraper — This project is an unauthenticated web scraper designed to extract public data from the Twitter frontend API. It… justanotherarchivist/snscrape — snscrape is a Python-based social media web scraper and crawler designed to extract public posts, profiles, and… shengqiangzhang/examples-of-web-crawlers — This project is a collection of Python scripts and tools designed for web scraping, browser automation, and…
This project is a Sina Weibo web scraper and social media data pipeline designed to extract user profiles, posts, comments, and multimedia assets. It functions as a containerized data crawler that automates the collection and local storage of social media content and engagement metrics. The system includes a processing layer that uses large language models to analyze scraped text, generating summaries and sentiment analysis. It differentiates itself through a deployment-ready container model featuring an HTTP interface for managing extraction tasks and monitoring job progress. The crawler co
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 tra
weiboSpider is a Python web scraper and social media crawler designed to extract user profiles, posts, and engagement metrics from Sina Weibo. It functions as an automated data pipeline for academic research and trend analysis, collecting long-form text and multimedia content. The tool distinguishes itself through the use of browser session cookies to authenticate requests and access protected profiles. It implements randomized request pacing and global pauses to manage traffic and avoid platform rate limits, while supporting incremental crawling to capture only new content based on timestamp
This project is an unauthenticated web scraper designed to extract public data from the Twitter frontend API. It functions as a social media data extractor that simulates browser requests to gather information without the need for official API keys or user account authentication. The tool provides capabilities for gathering public posts, harvesting user profile metadata such as biographies and locations, and retrieving trending topics categorized by geographical region. It can perform targeted content scraping based on specific usernames, hashtags, or search queries. The system manages data