awesome-repositories.com
Blog
MCP
awesome-repositories.com

Discover the best open-source repositories with AI-powered search.

ExploreCurated searchesOpen-source alternativesSelf-hosted softwareBlogSitemap
ProjectMCP serverAboutHow we rankPress
LegalPrivacyTerms
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
code4craft avatar

code4craft/webmagic

0
View on GitHub↗
11,680 stars·4,126 forks·Java·Apache-2.0·21 viewswebmagic.io↗

Webmagic

Webmagic is a Java web crawling framework designed for building scalable automated crawlers to download and process large volumes of web pages. It functions as a distributed web crawler and dynamic content crawler, utilizing an XPath HTML parser to locate and extract specific data points from page structures.

The framework distinguishes itself through its ability to handle dynamic content by rendering JavaScript and executing asynchronous requests to extract data from non-static pages. It also allows users to define and execute crawler logic via scripting languages, enabling the update of collection tasks without recompiling the Java application.

The system manages the full crawling lifecycle, including URL queue management for tracking discovered links and a pipeline-based processing model that decouples downloading, parsing, and persistence. It supports distributed crawling scalability through multi-threaded task execution and provides pluggable storage backends for persisting extracted data.

Features

  • Web Crawling - Automates the discovery and download of web pages across multiple sites to collect vast amounts of data efficiently.
  • Web Crawling Frameworks - Functions as a comprehensive Java framework for automating large-scale web data extraction and discovery.
  • JavaScript Rendering - Renders JavaScript and executes asynchronous requests to extract data from pages that do not serve static HTML.
  • Dynamic - Retrieves data from websites using JavaScript to render content, ensuring information is captured from non-static pages.

AI search

Explore more awesome repositories

Describe what you need in plain English — the AI ranks thousands of curated open-source projects by relevance.

Start searching with AI
  • Web Crawlers - Executes data collection tasks across multiple threads or nodes to increase the speed of information retrieval.
  • Processing Pipelines - Sequentially handles the download, parsing, and persistence stages of a crawl through a series of decoupled processing steps.
  • Structured Data Extraction - Uses XPath expressions to locate and retrieve specific nodes from HTML documents for structured data mapping.
  • URL Crawl Queues - Maintains a scheduled list of discovered links to track traversal progress and prevent redundant page downloads.
  • Dynamic Content Crawlers - Provides a crawler capable of rendering JavaScript and executing asynchronous requests to extract data from non-static web pages.
  • URL Traversal Queues - Implements a pipeline for tracking discovered links and scheduling page downloads to ensure complete traversal of target websites.
  • Asynchronous Crawl Queues - Manages an asynchronous queue for identifying and processing new URLs discovered during the crawl.
  • HTML Parsers - Provides an XPath-based parser to locate and extract specific data points from HTML page structures.
  • Distributed Crawling Engines - Implements a scalable architecture for executing data collection across multiple concurrent threads and distributed systems.
  • Headless Browsers - Executes JavaScript and processes asynchronous requests by simulating a real web browser to access dynamic page content.
  • Crawl Queues - Includes a URL queue manager to track discovered links and schedule downloads for complete site traversal.
  • Web Scraping - Scales data collection across multiple threads or systems to increase the speed and volume of retrieved web content.
  • Automated Data Extraction - Builds workflows to extract specific information from HTML using XPath and map it into structured formats.
  • XPath 2.0 Parsing - Implements a standardized path language for performing complex content extraction and queries to locate specific data elements.
  • Pluggable Storage Drivers - Decouples data extraction logic from the persistence layer, allowing results to be saved into various database systems.
  • Scripted Crawler Execution - Enables the execution of crawler definitions via scripting languages to deploy data collection tasks without manual compilation.
  • Crawl Artifact Storage - Saves extracted information and metadata to a storage backend for later analysis and retrieval.
  • Crawler Logic Scripting - Allows users to define crawl logic in a scripting language to update collection tasks without recompiling the application.
  • Multi-Threaded Request Handling - Distributes web requests and page parsing across multiple concurrent threads to increase total data collection throughput.
  • Crawler Lifecycle Controllers - Coordinates the full lifecycle of downloading, tracking, and extracting content through a scalable process.
  • Java Crawling Frameworks - Scalable crawler framework for Java.
  • Web Crawling - Scalable crawler with downloading and content extraction.

    • Star history

    Star history chart for code4craft/webmagicStar history chart for code4craft/webmagic

    How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

    Frequently asked questions

    What does code4craft/webmagic do?

    Webmagic is a Java web crawling framework designed for building scalable automated crawlers to download and process large volumes of web pages. It functions as a distributed web crawler and dynamic content crawler, utilizing an XPath HTML parser to locate and extract specific data points from page structures.

    What are the main features of code4craft/webmagic?

    The main features of code4craft/webmagic are: Web Crawling, Web Crawling Frameworks, JavaScript Rendering, Dynamic, Web Crawlers, Processing Pipelines, Structured Data Extraction, URL Crawl Queues.

    What are some open-source alternatives to code4craft/webmagic?

    Open-source alternatives to code4craft/webmagic include: apify/crawlee — Crawlee is a web scraping framework designed for building scalable, reliable, and distributed data extraction… apify/crawlee-python — Crawlee-python is a web crawling framework for building scalable scrapers using Python. It serves as a comprehensive… boris-code/feapder — Feapder is a Python web crawling framework designed for building scalable data extraction systems. It features a… binux/pyspider — PySpider is a Python web crawling framework designed for automated data extraction. It provides a pipeline for… dotnetcore/dotnetspider — DotnetSpider is a .NET web crawling framework and C# data extraction tool designed for automated web page discovery… yasserg/crawler4j — Crawler4j is a multi-threaded Java web crawler and spider designed for high-volume web traversal and content…

    Open-source alternatives to Webmagic

    Similar open-source projects, ranked by how many features they share with Webmagic.
    • apify/crawleeapify avatar

      apify/crawlee

      24,002View on GitHub↗

      Crawlee is a web scraping framework designed for building scalable, reliable, and distributed data extraction pipelines. It provides a unified interface for managing headless browser automation and lightweight HTTP requests, allowing developers to handle complex web navigation, dynamic content rendering, and large-scale data collection within a single, modular architecture. The project distinguishes itself through its resource-aware concurrency controller, which dynamically scales task execution based on real-time CPU and memory usage to prevent host machine exhaustion. It also features a rob

      TypeScriptapifyautomationcrawler
      View on GitHub↗24,002
    • apify/crawlee-pythonapify avatar

      apify/crawlee-python

      8,097View on GitHub↗

      Crawlee-python is a web crawling framework for building scalable scrapers using Python. It serves as a comprehensive tool for web scraping automation, providing a system to extract structured data from websites using both lightweight HTTP requests and headless browser automation. The framework is distinguished by its anti-bot evasion capabilities, which include browser fingerprint impersonation and tiered proxy rotation to bypass detection systems and solve challenges such as Cloudflare. It also incorporates artificial intelligence for autonomous website navigation and schema-based data extra

      Pythonapifyautomationbeautifulsoup
      View on GitHub↗8,097
    • boris-code/feapderBoris-code avatar

      Boris-code/feapder

      3,709View on GitHub↗

      Feapder is a Python web crawling framework designed for building scalable data extraction systems. It features a distributed spider engine and a headless browser renderer to execute JavaScript and extract content from dynamic web pages. The system includes a scalable data deduplicator to filter duplicate URLs and records during large-scale operations. A crawler monitoring system tracks the health of active scraping jobs and triggers alerts when system anomalies occur. The framework provides capabilities for task scheduling, web data extraction, and resilient workflows that allow crawling tas

      Pythoncrawlerfeapderfeaplat
      View on GitHub↗3,709
    • binux/pyspiderbinux avatar

      binux/pyspider

      16,809View on GitHub↗

      PySpider is a Python web crawling framework designed for automated data extraction. It provides a pipeline for periodically fetching web content, processing HTML, and persisting scraped information into database backends. The system features a web-based management interface for editing scraping scripts, monitoring task progress, and reviewing collected data. It includes a headless browser JavaScript renderer to capture rendered HTML from dynamic web pages and a distributed architecture that uses message queues to scale crawling workloads across multiple nodes. The framework also covers task

      Python
      View on GitHub↗16,809
    See all 30 alternatives to Webmagic→