CyberScraper 2077

CyberScraper-2077 is an AI-powered web scraping tool that uses large language models to extract and structure data from websites into organized formats. It functions as an LLM web scraper and AI content parser, transforming unstructured raw web text into specific data schemas.

The project distinguishes itself through a suite of anonymity and evasion tools, including proxy rotation, SOCKS-based identity masking, and the ability to route traffic through the Tor network to access hidden onion services. It further includes a bot detection bypass system that employs stealth parameters and custom network headers to evade security firewalls.

The system manages dynamic content via headless browser automation and handles multi-page crawling. Extracted data is processed through automated export pipelines that support multi-format serialization to JSON, CSV, SQL, and Excel, or direct synchronization to Google Sheets via OAuth 2.0.

The tool also features a dictionary-based request caching system to reduce redundant network traffic and provides a mechanism for manual captcha solving.

Features

AI-Powered Content Processors - Uses large language models to transform unstructured raw web text into organized, schema-specific data formats.

LLM-to-Structured Data Converters - Transforms unstructured raw HTML and web text into specific structured data schemas using large language models.

LLM-Powered Scrapers - Uses large language models to extract and structure data from dynamic web pages into organized formats.

Content Extraction Engines - Employs a content extraction engine using headless browsers to gather data from JavaScript-heavy dynamic websites.

Content Parsers - Uses AI-powered parsing to structure raw web text into specific desired data schemas.

Unstructured Data Transformation Tools - Utilizes LLM integrations to transform raw scraped text into organized and structured data formats.

Web Data Extraction - Extracts structured information from websites using a combination of headless browsers and HTML parsers.

Headless Browser Automation - Uses headless browser automation to render JavaScript and interact with dynamic web elements for data extraction.

Proxy Rotation Services - Cycles through a pool of anonymous proxy servers to evade rate limiting and bot detection systems.

Bot Detection Bypass - Bypasses bot detection and security firewalls using stealth headers and proxy rotation.

Anti-Bot Evasion - Bypasses bot detection systems using stealth parameters, custom network headers, and proxy rotation.

AI-Powered Web Crawlers - Implements AI-powered web crawling to intelligently interpret and structure complex web content using LLMs.

Google Sheets Manipulations - Transfers extracted data directly to Google Sheets via an authenticated API integration.

Automated Export Pipelines - Provides automated pipelines that extract web content and save it directly to JSON, CSV, SQL, or Google Sheets.

Multi-Format Serializers - Provides serialization of extracted data into multiple standard formats including JSON, CSV, and Excel.

Multi-Page Crawling - Navigates through paginated content and multiple URLs to extract data across a site in a single operation.

Multi-Format Data Exports - Exports discovered web data into various structured formats including JSON, CSV, SQL, and Excel.

Proxy and Fingerprint Rotation - Employs automated proxy rotation to evade rate limiting and prevent IP blocking.

Identity Masking Proxies - Employs SOCKS protocols to mask the local machine identity from destination servers during network requests.

Anonymity Network Routing - Routes network requests through the Tor network to anonymously access and scrape hidden onion services.

Tor Routing - Provides the ability to route scraping traffic through the Tor network to access onion services anonymously.

itsOwenCyberScraper-2077

Features

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