Search Results for "requests"

...It contains many case studies that demonstrate how to analyze and replicate request parameters, cookies, and encryption logic used by real websites. Each directory in the project focuses on a specific target service or scenario, showing how browser network requests and JavaScript code can be studied to reproduce API calls programmatically. Many examples illustrate techniques such as debugging scripts, intercepting requests, analyzing encrypted parameters, and understanding authentication flows. crawler also explores common anti-scraping defenses and demonstrates how developers can examine them through debugging tools and reverse engineering techniques.

...Its architecture is built around asynchronous programming using Python’s asyncio framework, enabling concurrent automation of multiple tabs and browser contexts. Pydoll also includes tools for monitoring and intercepting network traffic, allowing developers to analyze or modify requests and responses during automation workflows. It emphasizes realistic interactions and fingerprint management to reduce the likelihood of automated actions.

...Currently, it supports Schema.org microdata using a third-party library, a native BEPress, Dublin Core, Highwire Press, JSON-LD, Open Graph, Twitter, EPrints, PRISM, and COinS implementation, and some general metadata that doesn't belong to a particular standard (for instance, the content of the title tag, or meta description tags). Planned is support for RDFa, AGLS, and other yet unheard-of metadata types. Contributions and requests for other metadata types are welcome! You can also pass an options object as the first argument containing extra parameters. Some websites require the user-agent or cookies to be set in order to get the response.

...It is designed to help developers create efficient and scalable crawlers for collecting structured data from websites. It provides a high-level API that simplifies the process of defining spiders, managing requests, and extracting content from web pages. Developers can create custom spiders by extending base classes and configuring pipelines that handle downloading, parsing, and storing collected data. DotnetSpider is modular, allowing different components such as request schedulers, downloaders, and storage systems to work together in a flexible workflow. ...

spider_collection is a collection of Python web crawler scripts created primarily for experimentation, learning, and practical scraping tasks. spider_collection gathers multiple independent spiders designed to collect data from different platforms and services, demonstrating a variety of scraping techniques and workflows. These crawlers make use of common Python scraping tools such as requests, parsel, BeautifulSoup, and the Scrapy framework to extract structured information from web pages. Several scripts also incorporate multi-threading and proxy usage to improve scraping efficiency and help avoid common anti-scraping limitations. In addition to raw data collection, some spiders include basic data processing and analysis using tools such as pandas and simple visualization with matplotlib. ...

Tholian Stealth is an open-source privacy-focused web browser and automation platform designed to combine secure browsing, web scraping, and proxy functionality into a unified system. It aims to prioritize user privacy and autonomy by minimizing tracking, blocking unnecessary requests, and restricting potentially harmful web technologies such as JavaScript execution. The platform operates as both a browser and a network service, capable of acting as a proxy, scraper, and content filtering system for other applications. Stealth introduces peer-to-peer networking features that allow users to share cached content and reduce bandwidth usage, which can be especially beneficial in constrained environments. ...

...This allows ast-hook-for-js-RE to capture variable values in memory and store them in a searchable database, effectively enabling variable-level monitoring of program execution. When a user encounters encrypted parameters in network requests, the captured variable data can be searched to determine where those values originated in the code. Once the relevant variable and code location are identified, analysts can trace backward to extract or reproduce the encryption logic used by the site.