Search Results for "frameworks"

...Katana supports both standard HTTP crawling and headless browser crawling, allowing it to navigate modern web applications that rely heavily on JavaScript. Through headless browsing, it can analyze dynamic content and single-page applications built with modern frameworks, improving its ability to uncover hidden paths and assets. Katana offers flexible configuration options such as depth control, concurrency limits, and filtering mechanisms to refine results and manage scanning scope.

rebrowser-patches is an open source collection of patches designed to improve the stealth capabilities of browser automation frameworks. It focuses primarily on enhancing Puppeteer and Playwright by modifying parts of their source code that may reveal automation activity to websites. Many modern websites rely on bot detection mechanisms that identify automation through behavioral or technical signals, and these patches aim to reduce those detection vectors. By applying targeted fixes, the project helps developers minimize automation leaks that are difficult or impossible to address through configuration options alone. ...

Web data extraction (web data mining, web scraping) tool. It leverages well proved XML and text processing techologies in order to easely extract useful data from arbitrary web pages.

python-fxxk-spider is a curated collection of Python web scraping and crawler projects gathered in a single repository for reference and learning. It aggregates many independent scraping examples that target a wide range of websites, online services, and public data sources. Instead of being a single crawler tool, it functions as a catalog of ready-made Python spider implementations that demonstrate different scraping techniques. python-fxxk-spider includes scrapers for social media,...

...GoogleScraper supports several major search engines and can be used to gather structured datasets from search result pages for further analysis. It provides two different scraping approaches: sending direct HTTP requests that simulate browser traffic or controlling real browsers through automation frameworks. By running automated queries and collecting results in bulk, the project can assist with tasks such as SEO research, trend discovery, or building datasets of websites related to specific keywords. GoogleScraper also includes capabilities for running multiple scraping tasks concurrently to improve performance and increase the amount of collected data.

...It includes crawlers that discover proxy servers, validators that test proxy availability and performance, and schedulers that manage crawling and validation tasks. HAipproxy aims to maintain a high availability proxy pool with low latency so that scraping frameworks can rotate proxies efficiently and avoid blocking during large-scale data collection. Its architecture supports distributed deployment, allowing multiple crawler workers and validators to run across different machines.

...It is designed to make crawler development straightforward by allowing developers to extract page elements using jQuery-style selectors rather than complex parsing logic. It integrates several well-known Java libraries and frameworks, including tools for HTTP requests, HTML parsing, JSON processing, and application development. Through its annotation-based design, developers can define crawling rules and data extraction logic directly within Java classes, reducing boilerplate code and improving readability. Gecco also provides mechanisms for handling dynamic web content, including support for asynchronous requests and extraction of JavaScript variables from pages. ...

Aracnis is a Java based framework for building distributed web spiders. These spiders can be used to accomplish a variety of tasks, for example, screen-scraping and link integrity checking.