Open-source alternatives to Nopecha Extension

pydoll is a Chrome DevTools Protocol automation library and headless browser controller used for web data extraction and parallel browser automation. It controls Chromium-based browsers via direct WebSocket connections, allowing it to manage isolated browser contexts and tabs while bypassing the overhead and detection associated with WebDriver. The project features an anti-bot evasion framework that mimics natural human behavior, including mouse movements generated via Bezier curves and variable typing patterns. It provides specialized stealth capabilities to bypass behavioral analysis and au

This project provides an agentic web interaction engine designed to facilitate autonomous browser automation and large-scale data extraction. It serves as a framework for building and deploying agents that can navigate complex, JavaScript-rendered websites, interact with page elements, and execute multi-step workflows. By providing a structured environment for browser control, the system enables the creation of reusable automation scripts that can be deployed across diverse web platforms. The platform distinguishes itself through a comprehensive suite of security and traffic management tools,

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

This repository provides the pre-trained neural network and legacy data files used by Tesseract to recognize and extract printed text from images. It serves as a multilingual training data repository and a collection of Long Short-Term Memory models designed for high-accuracy optical character recognition across various global scripts and languages. The data includes specialized models for analyzing image layouts to determine text rotation and script direction. It provides the necessary language-specific datasets and linguistic patterns required to enable Tesseract OCR engines to function. T

mmocr is a PyTorch-based optical character recognition framework designed for training and deploying text detection, recognition, and key information extraction models. It serves as a comprehensive toolbox for scene text detection and recognition, providing specialized libraries for locating text regions and converting visual text into machine-encoded strings. The project distinguishes itself through a research framework for key information extraction and advanced text spotting capabilities. These include point-based spotting using transformers and the use of parameterized Bezier curves to id

cloudscraper is a Python library designed to bypass Cloudflare anti-bot protections by resolving JavaScript challenges and mimicking browser fingerprints. It functions as a specialized tool for accessing websites that employ automated security systems to block scripts and headless browsers. The project differentiates itself through the use of interchangeable JavaScript runtimes, such as Node.js or V8, to execute challenge code and obtain security clearance tokens. It employs a fingerprint rotation engine and HTTP request emulation to rotate browser headers and device identifiers, mimicking hu

FlareSolverr is a proxy server designed to provide programmatic access to websites protected by automated security challenges and firewall restrictions. It functions by orchestrating headless browser instances to render web pages, execute JavaScript, and retrieve the necessary cookies and content required to bypass common security hurdles. The service distinguishes itself by maintaining persistent browser sessions in memory, which allows for the reuse of authenticated states across multiple requests. It integrates with external captcha resolution services to handle interactive security challe

Riona-AI-Agent is an LLM automation agent and browser automation framework designed to execute complex workflows, train on custom data, and generate AI content. It functions as a social media automation tool for scheduling content, managing multiple profiles, and automating engagement actions across social platforms. The system includes a centralized monitoring dashboard for tracking the live status, runtime summaries, and activity logs of AI agents. It utilizes machine learning models to identify and bypass visual security challenges during automated browsing sessions. The agent's capabilit

This project is an Amazon web scraper and e-commerce data extractor designed to retrieve product names, prices, and ratings. It functions as a headless browser crawler that converts unstructured web content from product listings into structured JSON and CSV formats. The tool incorporates anti-bot bypass capabilities to circumvent CAPTCHAs and security challenges. It achieves this through the use of residential proxy integration, automatic proxy rotation, and the modification of browser fingerprints to simulate human interaction patterns. The system provides broad web scraping capabilities, i

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

Stagehand is an AI-native browser automation framework that enables developers to build reliable web automations using a hybrid of natural language instructions and deterministic TypeScript code.

so-novel is a web novel downloader and scraping engine designed to extract structured text from websites and convert it into electronic book formats. It functions as a multi-interface content extractor, providing a shared backend accessible via a web-based management dashboard, a terminal user interface, and a command line interface. The system utilizes a rule-driven approach for data extraction, using CSS selectors and XPath rules defined in external configuration files to map web elements to specific data fields. To maintain access to content, it includes a proxy-routed request pipeline to

tensorrtx is a computer vision inference engine and model implementation library designed for graphics processor acceleration. It provides a framework for optimizing deep learning models through a GPU inference optimizer, a deep learning model converter for transforming weights from frameworks like TensorFlow and PyTorch, and a custom plugin library to implement operations not natively supported by the TensorRT API. The project distinguishes itself through a comprehensive collection of pre-defined network implementations, ranging from various YOLO versions and DETR transformers for object det

Pageres is an automated web page capturer and command line interface that renders HTML content and websites into images. It uses a headless Chromium browser to generate screenshots of full pages or specific elements across multiple screen resolutions. The tool allows for the simulation of different device dimensions to verify responsive design and the creation of visual snapshots for UI regression testing. It supports the capture of protected pages by passing custom HTTP headers, cookies, and basic authentication credentials. The system includes capabilities for page content manipulation thr

RSSHub-Radar is a browser extension designed for the discovery and identification of RSS and RSSHub feeds on web pages. It functions as a feed detector that scans websites to locate compatible RSSHub routes and content sources. The project acts as an integration bridge, allowing users to export discovered feeds directly to third-party RSS reading platforms via a one-click subscription process. This facilitates a content aggregation workflow by simplifying how users find and collect diverse web content sources for streamlined consumption.

This project is a reference library and collection of practical code samples for building browser extensions using WebExtensions APIs. It provides implementation guides and functional examples for core extension components, including content scripts, background processes, and browser action popups. The repository focuses on demonstrating specific implementation patterns for browser UI customization and web page manipulation. It includes samples for creating sidebars, context menus, and options pages, as well as techniques for injecting scripts and styles to alter DOM elements and page appeara

BloodHound is an identity risk management platform and graph-based attack path analyzer used to map identity relationships and permissions in Active Directory. It functions as a security tool for auditing directory services, uncovering unintended privilege relationships, and visualizing sequences of permissions that can lead to domain compromise. The project differentiates itself as a comprehensive adversary emulation framework that coordinates remote agents and executes post-exploitation commands. It includes a reverse proxy for bypassing multi-factor authentication via real-time session hij

Payload is a headless content management system and application framework that uses a code-first approach to define data schemas and administrative interfaces. By utilizing a centralized, type-safe configuration object, it automatically generates database schemas, API endpoints, and a fully customizable admin panel. The system is built on a database-agnostic architecture, allowing it to interface with various storage engines while providing a unified, type-safe API for server-side operations, REST, and GraphQL. What distinguishes Payload is its deep extensibility and developer-centric design.

FeHelper is a web browser extension toolbox and frontend development toolkit integrated into Chrome, Firefox, and Edge. It serves as a data transformation utility, a web page debugging tool, and an AI-powered coding assistant. The project distinguishes itself by integrating local models and OpenAI-compatible APIs to write, refactor, and repair code directly within the browser. It also provides capabilities for generating TypeScript schemas and Zod definitions from data samples using AI. The toolkit covers a broad range of developer utilities, including network debugging for HTTP and WebSocke

This project is a PyTorch-based framework and toolkit for scene text recognition. It provides a deep learning pipeline for extracting characters and words from images of natural environments, covering the full process from training data preparation to model validation. The framework functions as a standardized benchmark for measuring the accuracy and inference speed of text recognition models. It includes tools for calculating recognition accuracy and measuring GPU processing time per image to evaluate model performance across consistent datasets. The system incorporates visual and sequentia

AllAboutBugBounty is a curated collection of bug bounty techniques and payloads for web application security testing. It serves as a reference resource covering common web vulnerabilities and exploitation methods for security researchers, providing a structured approach to identifying and exploiting web application security flaws in bug bounty programs. The repository covers a wide range of attack categories including authentication bypass, cross-site scripting injection, server-side request forgery, web cache poisoning, and business logic abuse. It includes techniques for bypassing access co

EasyOCR is a deep learning-based computer vision library designed to perform optical character recognition on images and video frames. It functions as a comprehensive pipeline that automates the transformation of visual text into machine-readable strings, enabling the digitization of physical documents, forms, and receipts into searchable data. The engine distinguishes itself through a multi-stage processing workflow that combines convolutional neural networks for spatial feature extraction with sequence-based decoding mechanisms. This architecture allows the system to identify and interpret

This project is a railway booking automation tool designed to monitor ticket inventory and execute purchases on the 12306 platform. Its primary purpose is to secure high-demand train tickets by automating the login, booking, and checkout processes. The system utilizes automated captcha solving and headless session management to bypass security barriers and maintain user authentication. It employs a concurrent request queue and polling-based inventory monitoring to track seat availability and execute purchases immediately as they open. The automation surface includes waitlist management for r

PandaOCR is a desktop application for extracting text from images and screen captures using optical character recognition. It functions as a mathematical formula digitizer, a table data extractor, a multilingual translation utility, and a text-to-speech interface. The project distinguishes itself through specialized recognition routing that distributes data across different providers based on whether the content is standard text, tables, or formulas. It provides real-time software interface localization by rendering translated text layers directly over active application windows using coordin

Buster is a browser extension that solves reCAPTCHA audio challenges by transcribing them into text through speech recognition, and it simulates human-like mouse interactions to bypass visual verification prompts. The extension coordinates with a companion desktop application via local inter-process communication, where the desktop app handles the simulation of natural mouse movements and clicks to improve automated solving success rates. The project distinguishes itself by combining audio transcription with human behavior simulation, using randomized mouse trajectories and timing to mimic hu

Tesseract is an optical character recognition engine and tool designed to convert printed or handwritten text from images into machine-readable digital text. It functions as a multilingual text extractor and a document digitization pipeline that transforms scanned images into structured digital formats. The project includes a framework for training custom scripts and language-specific models, allowing the engine to recognize new languages or unique fonts through custom training data. Its capabilities cover automated text extraction, digital archive digitization, and the export of recognized

Anti-Anti-Spider is an automated web scraping toolkit and CAPTCHA bypass framework. It uses convolutional neural networks to recognize characters and digits in image-based security challenges, enabling programmatic access to protected web content. The project functions as an image recognition model trainer, providing a workflow to preprocess labeled image datasets and train custom neural networks. Users can configure model architectures and hyperparameters to align the recognition system with the visual style of specific target websites. The toolkit covers capabilities for image data preproc