Showing 10 open source projects for "content analysis"

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  • 1
    sperm

    sperm

    Collection of reverse engineering articles curated for learning

    sperm is a curated repository that gathers a collection of notable articles related to reverse engineering and software analysis. It primarily acts as a knowledge archive where previously published technical posts are compiled and organized for easier access and long-term reference. These articles originate from multiple technical communities and platforms and are exported into Markdown format to maintain a consistent and readable structure. sperm focuses on educational material that explores reverse engineering techniques, mobile analysis, and related technical discussions. ...
    Downloads: 1 This Week
    Last Update:
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  • 2
    Weibo Crawler

    Weibo Crawler

    Python crawler for collecting and downloading Sina Weibo user data

    ...It automates the process of gathering posts, user profile details, and engagement metrics from one or more target accounts. weibo-crawler can extract comprehensive information about users, including profile attributes such as nickname, follower count, following count, and account metadata. It also captures detailed data about each post, including the content, publishing time, topics, mentions, likes, reposts, and comments. In addition to textual data, the project can download original media from posts, such as images, videos, and Live Photo content. Collected data can be exported to structured formats such as CSV or JSON or stored in databases for further analysis and research. It supports incremental crawling so users can periodically collect only newly published posts, making it useful for ongoing monitoring or dataset updates.
    Downloads: 4 This Week
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  • 3
    watercrawl

    watercrawl

    AI-ready web crawler that extracts and structures website content

    WaterCrawl is an open source web crawling and data extraction platform designed to transform website content into structured data suitable for machine learning and AI workflows. It enables developers and researchers to crawl web pages, extract meaningful information, and convert it into formats that are easier to process and analyze. It provides a modern crawling system that can automatically navigate links, control crawl depth, and collect content from targeted sections of a website....
    Downloads: 1 This Week
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  • 4
    Spider

    Spider

    High-performance Rust web crawler and scraper for large-scale data

    ...It focuses on speed, concurrency, and reliability by using asynchronous and multi-threaded processing to handle large volumes of web pages. It can rapidly crawl websites to collect links, retrieve page content, and extract structured information from HTML documents. Spider can operate concurrently across many pages, allowing it to gather large datasets in a short period of time. Spider also provides mechanisms for subscribing to crawl events so developers can process page data such as URLs, status codes, or HTML content as it is discovered. ...
    Downloads: 0 This Week
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  • 5
    lxspider

    lxspider

    Educational Python web scraping case collection for many sites

    ...It focuses heavily on practical cases that illustrate how different platforms handle requests, authentication parameters, and anti-scraping protections. lxSpider includes examples targeting areas such as e-commerce platforms, social media services, content sites, research databases, and information portals. Many of the cases explore techniques related to request analysis, signature generation, and reverse engineering that are often needed when interacting with modern web applications. It also provides supplementary materials and tools used in crawling workflows, such as debugging utilities and reverse-engineering aids.
    Downloads: 0 This Week
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  • 6
    RED HAWK

    RED HAWK

    All-in-one reconnaissance and vulnerability scanning toolkit for sites

    RED HAWK is an open source command-line security tool designed for information gathering, vulnerability scanning, and web reconnaissance tasks. It combines multiple scanning and analysis capabilities into a single toolkit to help security researchers and penetration testers quickly analyze a target website. It can collect a wide range of information about domains, servers, and web applications, including network details, hosting configuration, and content management system detection. It also provides vulnerability scanning features that help identify potential issues such as error-based SQL injection vulnerabilities and sensitive file exposure. ...
    Downloads: 0 This Week
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  • 7
    ECommerceCrawlers

    ECommerceCrawlers

    Collection of Python ecommerce and website crawler examples projects

    ...Developers can study the individual project documentation to understand the analysis process.
    Downloads: 6 This Week
    Last Update:
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  • 8
    mzitu

    mzitu

    Python crawler that downloads image galleries and analyzes titles

    ...It demonstrates how to build a scraper that navigates gallery pages, retrieves image links, and saves the images locally in a structured directory layout. It focuses on automating the collection of large sets of images by programmatically parsing page content and iterating through gallery entries. mzitu also includes a simple analysis script that processes downloaded folder names to generate statistics and visualizations. Using text segmentation and frequency analysis, the project can create a word cloud representing common keywords found in the dataset. This makes the repository both a scraping example and a small data analysis experiment built around the collected content. ...
    Downloads: 0 This Week
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  • 9
    WeChatSogou

    WeChatSogou

    Python library to crawl and retrieve data from WeChat accounts

    ...Developers can integrate the library into scripts or larger data collection systems to automate gathering content from public accounts.
    Downloads: 0 This Week
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  • 10
    Perl Web Scraping Project

    Perl Web Scraping Project

    Perl Web Scraping Project

    ...It is a form of copying, in which specific data is gathered and copied from the web, typically into a central local database or spreadsheet, for later retrieval or analysis. Web scraping a web page involves fetching it and extracting from it.[1][2] Fetching is the downloading of a page (which a browser does when you view the page). Therefore, web crawling is a main component of web scraping, to fetch pages for later processing. Once fetched, then extraction can take place. The content of a page may be parsed, searched, reformatted, its data copied into a spreadsheet, and so on.
    Downloads: 0 This Week
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