Projects sharing features with Oxylabs Ai Studio Py

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 project is a graphical user interface for controlling, configuring, and monitoring AI agents that automate web browser interactions. It provides a visual dashboard to execute autonomous web tasks and manage the behavior of browser-based agents without requiring raw code for every operation. The system includes a browser profile manager to link agents to local executables and user data directories, which allows for persistent authenticated sessions. To support remote observation, it features a VNC streamer that provides a real-time visual feed of headless browser agents operating within a

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 col

Maxun is an open-source web scraping and automation platform designed to transform dynamic website content into structured data. By leveraging artificial intelligence to interpret natural language prompts, the system identifies page elements and extracts information without requiring manual selector configuration. It serves as a bridge between raw web content and intelligent workflows, providing structured outputs in formats optimized for large language model ingestion and agent-based applications. The platform distinguishes itself through its ability to handle complex, authenticated, and dyn

AnyCrawl is an AI-powered data extractor, automated web crawler, and headless browser orchestrator. It serves as a web content extraction API and a gateway that connects crawling and scraping tools to language models using a standardized API protocol. The project specializes in converting unstructured website content into structured JSON or markdown optimized for AI assistants. It utilizes language models and JSON schemas to pull specific information into validated formats and provides capabilities for AI page summarization and LLM-optimized content extraction. The system manages comprehensi

This project is a Model Context Protocol server that connects large language models to web scraping and crawling tools. It functions as a bridge, allowing LLM clients to utilize a web crawling engine and scraping utilities to extract and process web data. The server integrates a markdown web converter that transforms dynamic web pages and PDF documents into clean markdown to optimize consumption by AI models. It also provides a browser automation interface for controlling headless sessions and bypassing access restrictions. The system covers broad capabilities including large-scale website d

Scrapegraph-ai is a Python framework that uses large language models to automate the extraction of structured data from websites and documents. It functions as an AI-driven data extraction pipeline that converts unstructured web content into structured formats using natural language processing and graph-based logic. The project utilizes graph-based task orchestration to model scraping workflows as interconnected nodes. It features a pluggable model interface for connecting to cloud or local artificial intelligence providers and can generate executable Python code on the fly to handle site-spe

This project is an LLM browser automation framework and AI agent browser interface. It serves as a control layer that translates natural language instructions into browser interactions using large language models, enabling AI agents to navigate and interact with web pages through standardized browser-control functions. The system functions as an RPA workflow orchestrator and headless browser management tool, capable of recording and replaying deterministic browser sequences to automate repetitive tasks. It distinguishes itself through stealth configurations, including residential proxies and

Nightmare is an Electron-based browser automation library and headless browser controller. It provides the infrastructure to programmatically navigate web pages, interact with DOM elements, and execute JavaScript within a background browser instance. The project distinguishes itself by integrating a full Chromium instance within an Electron shell, allowing for the management of browser sessions, network proxy settings, and persistent storage partitions. It enables the capture of page states as PNG screenshots, PDF documents, or HTML files. The tool covers a broad range of capabilities includ

docetl is an AI-powered document ETL tool and map-reduce orchestrator designed to transform large collections of unstructured documents into structured, queryable tables using language models. It provides a declarative pipeline framework for extracting, cleaning, and transforming data from sources such as PDFs and text files into predefined schemas. The project distinguishes itself through a semantic data integration suite that enables joining datasets and resolving duplicate entities based on embedding-based similarity. It includes an interactive prompt playground for developing and optimizi

Fireplexity is an AI-powered search engine designed to retrieve real-time web data and synthesize it into comprehensive, conversational answers. It functions as a search application that integrates automated web crawling to aggregate information from multiple online sources, grounding its responses in current internet content. The platform distinguishes itself through a focus on transparency and responsiveness. It provides verifiable citations and direct links to original source material for every generated answer, allowing users to confirm the accuracy and context of the information provided

This library provides a framework for controlling headless Chrome or Chromium instances through the Chrome DevTools Protocol. It functions as a controller for orchestrating browser lifecycles, enabling developers to automate interactions, extract data, and manage browser processes programmatically within Rust applications. The project distinguishes itself by providing a synchronous interface that wraps asynchronous browser operations, simplifying the control flow for linear automation scripts. It maintains process isolation by spawning independent browser instances as child processes, ensurin

Onyx is an enterprise-grade AI platform designed for knowledge management, search, and autonomous agent orchestration. It functions as a centralized system that aggregates unstructured organizational data, enabling secure, context-aware retrieval and interaction across internal documents and communication history. By integrating retrieval-augmented generation with multi-model orchestration, the platform provides a unified interface for teams to query internal knowledge bases and execute complex, multi-step business processes. The platform distinguishes itself through a focus on private infras

This project provides a programmatic client for interacting with AI-powered search services. It is designed to automate research tasks by facilitating batch query processing, real-time response streaming, and document content analysis through both synchronous and asynchronous interfaces. To ensure continuous service access and high throughput, the system includes an automated account provisioning and lifecycle management framework. This allows for the rotation of authenticated sessions and the automatic renewal of credentials, which helps maintain access during high-volume operations. The pr

Perplexica is an AI-powered search engine that synthesizes real-time web results into coherent, cited summaries. By utilizing large language models and retrieval augmentation, the platform gathers information from the live internet to provide accurate answers to complex user queries, ensuring that all generated content includes verifiable source citations. The project functions as a search orchestration platform that aggregates data from multiple sources and exposes these capabilities through standard endpoints. This allows for automated data integration, enabling external software to retriev

Open-claude-cowork is an LLM agent workflow orchestrator and multi-agent collaborative workspace. It serves as a SaaS tool integration framework and a real-time AI chat interface designed to connect large language models with external software applications and browser tools to automate complex business processes. The platform functions as a headless browser automation tool, enabling AI agents to navigate websites and interact with web-based interfaces automatically. It allows for the creation of shared environments where multiple agents coordinate using external tools and shared memory to com

Surya is a document processing platform designed to transform unstructured files into structured, machine-readable data. It provides a comprehensive suite of tools for text recognition, layout analysis, and reading order detection, enabling the conversion of PDFs and images into formats such as JSON, HTML, or markdown. The platform is built to handle complex document workflows, offering capabilities for data extraction, document segmentation, and automated form completion. The platform distinguishes itself through a robust pipeline-based architecture that allows users to chain analysis tasks

Crawl4AI is an AI-powered web crawling and data extraction engine designed to transform complex web content into structured formats. It functions as a headless browser orchestrator, enabling the navigation of dynamic websites, the execution of custom scripts, and the capture of visual assets like screenshots and PDFs. By integrating language models directly into the extraction workflow, the system converts raw HTML into clean, structured data or Markdown files optimized for downstream ingestion. The platform distinguishes itself through a distributed, self-hosted infrastructure that manages l

Marker is a comprehensive document processing platform designed to automate the conversion, extraction, and structuring of data from complex files. It functions as an orchestration engine that chains modular processing steps into versioned, reusable pipelines, allowing organizations to standardize document handling and automate repetitive business tasks at scale. The platform distinguishes itself through its support for secure, private infrastructure deployment, enabling users to run containerized services within their own environments to maintain strict data privacy. It features specialized

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

Firecrawl MCP Server is a Model Context Protocol tool server that exposes the full suite of Firecrawl’s web scraping, crawling, and automation capabilities as tools that large language models can invoke directly. It acts as a proxy to the Firecrawl cloud platform, which manages headless browser orchestration, async job queues, and rate limiting behind the scenes. The server distinguishes itself by packaging autonomous web agents — both a research agent that browses and collects structured data from multiple pages, and a general web agent that performs multi-step browsing and extraction tasks

Vimium-C is a keyboard-driven browser extension that provides a vim-like navigation tool for web browsers. It functions as a customizable key mapper and accessibility tool, allowing users to interact with web content and manage browser tabs and windows without a mouse. The project distinguishes itself through advanced key mapping capabilities, including the ability to define contextual shortcuts based on the website host and remap keyboard layouts. It implements mode-specific mappings to prevent command conflicts and allows for specific keyboard mappings to function within text input boxes.

Parsr is an unstructured data extractor and document parsing pipeline that converts raw files and images into cleaned, machine-readable formats. It functions as a document layout analyzer and a pipeline for extracting structured data and labels using large language models. The system includes a document parsing visualizer, providing a graphical interface to upload documents and inspect the resulting structured data output. The project covers document digitization workflows, including layout analysis to detect headings, tables, and lists, and automated data entry through the cleaning and enri

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

DotnetSpider is a .NET web crawling framework and C# data extraction tool designed for automated web page discovery and the retrieval of structured data from the internet at scale. It functions as a high-level web scraping library for collecting information from various websites. The framework provides capabilities for automated web crawling and large-scale data scraping. It enables web content extraction to facilitate the creation of local databases or the analysis of online information through programmatic web automation within the .NET ecosystem. The system utilizes a pipeline-based data

CasperJS is a scripting utility and testing framework for automating web scenarios via headless browsers. It enables the execution of navigation steps and form inputs to automate complex user scenarios, extract web data, and validate the state of remote pages. The project provides specific tooling for PhantomJS and SlimerJS, allowing users to write programmable sequences for web navigation and data extraction. It includes capabilities for capturing visual snapshots of full pages or specific elements to perform user interface regression testing. The framework covers broad automation areas inc

CodeceptJS is a Node.js end-to-end testing framework used for writing acceptance and functional tests for web and mobile applications. It functions as an automated browser testing suite and cross-browser automation engine that allows users to simulate end-user interactions and verify page content using a JavaScript-based domain-specific language. The framework implements a behavior-driven development approach, enabling the creation of scenario-driven tests that describe application behavior in a human-readable format. It utilizes the page object model to encapsulate UI elements and logic into