30 open-source projects similar to kr1s77/python-crawler-tutorial-starts-from-zero, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Python Crawler Tutorial Starts From Zero alternative.
This project is a comprehensive educational guide and framework for building web scrapers using Python. It provides a course-based approach to data extraction, combining a Python crawler framework with tutorials on web reverse engineering and network traffic analysis. The project distinguishes itself by covering advanced extraction challenges, including the decryption of obfuscated JavaScript and the bypass of anti-scraping measures. It specifically addresses mobile application scraping through the simulation of user interactions and the interception of network traffic. The capability surfac
CrawlerTutorial is a comprehensive Python web scraping tutorial and framework designed for extracting data from static and dynamic websites. It functions as a web data extraction pipeline and an HTTP request orchestrator, covering the full lifecycle of scraping applications from initial fetching to final data storage. The project provides specialized guidance on anti-bot bypass techniques and web API reverse engineering. It includes methods for evading browser detection through identity masking and proxy rotation, as well as techniques for identifying hidden API endpoints by analyzing network
This project is a Python web scraping library and automated data collection suite. It provides tools for extracting structured data from websites, implementing web crawlers to navigate site links, and parsing HTML DOM structures to isolate specific elements and attributes. The toolkit includes a pipeline for processing unstructured text and cleaning raw web content to extract meaningful information. It also features capabilities for image data extraction and the integration of external APIs to retrieve structured data from remote endpoints. The system covers broad capability areas including
Katana is a web crawler and spider designed for security reconnaissance and web application mapping. It functions as a utility for identifying endpoints, forms, and API structures across web targets by combining standard HTTP request traversal with headless browser automation to render dynamic, JavaScript-heavy content. The tool distinguishes itself through its ability to maintain authenticated sessions and handle complex web interactions, such as automated form submission and captcha resolution. It provides granular control over the discovery process, allowing users to define specific crawl
PythonSpiderNotes is a comprehensive instructional resource and framework for building web crawlers and extracting data using the Python programming language. It provides a set of methods for parsing unstructured HTML and JSON data into structured formats for persistent storage. The project includes detailed guides and tutorials on browser automation for retrieving dynamic content, as well as a framework for data extraction. It specifically covers anti-bot bypass techniques, such as rotating proxies and spoofing headers, to avoid IP blocks and detection systems. The capability surface extend
Spider-flow is a Java-based web crawling and data extraction platform that provides a centralized environment for managing automated information gathering. It functions as a no-code tool, allowing users to define complex data collection pipelines through a visual, drag-and-drop interface rather than manual programming. The platform distinguishes itself through a graph-based workflow orchestration system where users link discrete nodes to define navigation and parsing logic. It supports dynamic content crawling by integrating headless browsers to execute JavaScript and render page content that
This project is a comprehensive resource directory for web data extraction, providing a curated collection of tools and libraries for parsing data, automating browsers, and managing network operations. It serves as a guide for extracting structured information from HTML, XML, JSON, and PDF formats. The toolkit focuses on advanced data collection strategies, including headless browser automation to interact with JavaScript and a suite of network utilities for DNS resolution and WebSocket connections. It specifically covers methods for bypassing bot protections through proxy pool management, us
Spider is a multi-threaded web crawler and link extraction library designed for systematic website traversal and data collection. It functions as a utility for discovering and cataloging hyperlinks across domains, enabling the mapping of site architecture and the gathering of structured information. The tool utilizes a thread-pool concurrency model to fetch and parse multiple web pages simultaneously, maximizing network throughput during the crawling process. It manages navigation through a centralized queue-based frontier and employs in-memory state tracking to ensure efficient deduplication
Integuru is a system of AI-driven agents and frameworks designed to document undocumented APIs and convert network traffic into automation scripts. It functions as a headless API automation framework that replaces browser-based tools with direct HTTP requests to increase throughput and reliability. The project features an LLM-based reverse engineering agent that analyzes network traffic to discover internal APIs and a natural language integration engine that transforms text descriptions of workflows into sequences of valid API calls. It includes tools for extracting request and response forma
Social-analyzer is an open-source intelligence framework designed for the automated discovery, correlation, and verification of digital identities across online platforms. It functions as a comprehensive engine for gathering social media intelligence, utilizing distributed browser automation to extract metadata and profile information from hundreds of websites simultaneously. The platform distinguishes itself through its ability to perform cross-platform identity correlation using heuristic-based pattern matching and name permutation generation. It processes these findings through a confidenc
Undetected-chromedriver is a framework for automated browser navigation designed to bypass anti-bot security measures. It functions by patching browser drivers at the binary level to obscure automation signals, allowing scripts to interact with protected websites without being flagged or blocked by security services. The project distinguishes itself through its ability to maintain stealth during automated sessions, including those executed in headless mode. It achieves this by injecting custom configurations to mimic human user behavior and by hooking into low-level browser debugging protocol
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
This project is a high-performance headless browser engine designed for scalable web automation, data extraction, and AI agent integration. It provides a specialized environment that allows autonomous agents and testing frameworks to interact with web content through standardized remote control protocols. By executing pages in a lightweight, headless state, the engine minimizes resource consumption while maintaining the ability to perform complex navigation and dynamic content rendering. The platform distinguishes itself through deep integration with AI-centric communication layers and advanc
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
Browserless is a service-oriented platform designed for remote browser automation and headless execution. It provides a distributed infrastructure that manages browser sessions through containerized isolation, allowing users to execute scripts and interact with web content without maintaining local browser state or infrastructure. The platform functions as a remote API and WebSocket-based control layer, enabling stateless HTTP requests for tasks like document generation and real-time browser interaction. It incorporates proxy-based routing to manage traffic signatures and supports the integra
OpenCLI is an AI browser automation framework designed to automate web navigation, data extraction, and repetitive browser tasks. It functions as a browser-based CLI generator that converts website interfaces into command-line interactions by controlling authenticated web browser sessions. The project features a web-to-CLI adapter platform for mapping web elements to programmatic command-line inputs and outputs. It includes a browser profile manager to organize and switch between isolated session profiles to maintain different user identities. The toolkit provides capabilities for web conten
gstack is an AI agent framework and development workflow system designed to automate the software development lifecycle. It coordinates specialized AI personas to manage tasks across product design, engineering management, and quality assurance, transforming product intent into technical specifications and final releases. The project is distinguished by its deep integration of headless browser automation and semantic code memory. It utilizes a persistent Chromium daemon for web scraping and visual auditing, and implements a searchable knowledge base that logs architectural decisions and repos
Portia is a containerized scraping platform and visual web scraper that enables no-code data extraction. It serves as a Scrapy visual scraping tool and spider generator, allowing users to design and deploy web scrapers through a graphical interface instead of writing manual selector code. The system distinguishes itself by converting visual web page annotations into executable Scrapy spider code and structured JSON specifications. This visual-to-code mapping allows users to define scraping logic and extraction rules through a point-and-click interface, which can then be exported for use in ex
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 n
chromedp is a browser automation framework and driver that controls web browsers via the Chrome DevTools Protocol. It functions as a headless browser automation tool and web browser controller, enabling the programmatic management of browser sessions, targets, and network responses through a remote debugging interface. The project provides specialized capabilities for Chrome DevTools Protocol automation, including headless browser testing, web scraping and data extraction, and mobile device emulation. It also supports browser-based visual regression by capturing precise screenshots of web pag
node-crawler is a programmable web crawler for Node.js that manages request queues and automates data extraction. It functions as a rate-limited HTTP client and a headless HTML parser, providing the infrastructure to visit large sets of URLs asynchronously while preventing duplicate processing through task deduplication. The project distinguishes itself through a proxy rotation manager that cycles user agents and proxy servers to bypass access restrictions. It utilizes the HTTP/2 protocol to improve request performance and server compatibility during large-scale scraping operations. The syst
Botasaurus is a Python web scraping framework and headless browser automation system used to build scalable data extraction tools. It functions as a web data extraction tool and OCR document parser, converting website content, images, and PDF files into structured formats such as JSON, CSV, and Excel. The framework distinguishes itself by providing a scraper management interface that allows Python functions to be wrapped in a web-based UI or deployed as standalone desktop applications. This enables non-technical users to trigger extraction jobs and manage tasks via a graphical interface or RE
Scraperr is a self-hosted web scraping and crawling platform designed for extracting structured data from websites using XPath selectors. It functions as a containerized system for managing scraping jobs through a queue and analyzing the resulting content using artificial intelligence. The project differentiates itself through its Kubernetes-native architecture, allowing for scalable deployment and management via package managers. It includes a crawling engine capable of domain-level spidering to discover linked pages and a data analyzer that uses artificial intelligence to query extracted we
Weekly is an automated workflow orchestrator and content curation platform designed to manage the lifecycle of technical information. It functions as a static site generator and newsletter publication system, enabling users to aggregate, organize, and distribute curated resources through structured markdown files and automated deployment pipelines. The platform distinguishes itself through its modular pipeline processing, which connects discrete tasks such as web data extraction, generative AI workflows, and optical character recognition. By integrating browser-based scraping with database-ba
Paperless is a self-hosted document management system designed to digitize, index, and archive paper documents. It functions as an optical character recognition system that converts scanned images and PDFs into a searchable digital library, providing a web-based interface for querying and retrieving documents from a database. The system features an automated file ingestion pipeline that monitors specific directories and email inboxes to process and import documents without manual uploading. To maintain a private archive, it includes on-disk encryption for sensitive files and the ability to or
MisakaTranslator is a real-time game translation tool designed to extract text from games and manga and provide machine translations via external engines. It functions as a text extractor using both memory hooking to retrieve raw text directly from running processes and optical character recognition to convert images of in-game text into editable strings. The tool includes a speech synthesizer to read translated dialogue and sentences aloud. To maintain accuracy, it utilizes a custom translation dictionary to manage specialized word lists and manual phrase mappings for character names and loc
PyMuPDF is a comprehensive PDF manipulation library and document analysis tool. It serves as a text extraction tool, OCR engine, and image converter, providing a programmatic interface to edit, merge, split, and optimize PDF and Office documents. The project distinguishes itself through high-performance capabilities, including the use of C-bindings for low-level manipulation and parallelized page processing to accelerate workloads. It provides specialized conversion paths, such as transforming PDF content into Markdown for retrieval-augmented generation and large language model pipelines. It
This project is a comprehensive framework for building and managing autonomous agent systems. It provides a unified architecture for orchestrating multi-agent societies, where specialized agents collaborate through roleplay to decompose and solve complex tasks. The system integrates language models with external environments, enabling agents to perform real-world actions through a standardized tool-calling abstraction layer. The framework distinguishes itself through its focus on iterative reasoning and data reliability. It employs automated feedback loops to refine agent outputs and self-eva
LLPlayer is a language learning media player and AI subtitle generator that integrates large language models for real-time audio transcription and translation. It functions as an LLM-integrated video player and SRT transcription tool, utilizing local or remote AI models to generate text subtitles from audio and video streams. The project distinguishes itself through a contextual translation workflow that sends preceding subtitle lines to language models to maintain conversational flow and sentence structure. It also includes an optical character recognition system to convert bitmap-based subt
wxauto is a Python library and bot framework designed for the programmatic control of the WeChat Windows desktop client. It functions as a wrapper that enables the automation of messaging and social feed functions by simulating user interface interactions. The library distinguishes itself by providing a bridge between network requests and local UI automation, allowing users to expose automation capabilities via a web interface. It utilizes background execution and simulated system-level inputs to trigger application events without moving the physical mouse cursor. The project covers extensiv