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 main features of integuru-ai/integuru are: Headless API Automation Frameworks, API Reverse Engineering, Natural Language Workflow Generators, API Request Translations, API Schema Mapping, Natural Language Automation, Custom Platform Integrations, Headless API Automation.
Open-source alternatives to integuru-ai/integuru include: kr1s77/python-crawler-tutorial-starts-from-zero — This project is a Python web scraping tutorial and framework designed for building automated data extraction tools and… alufers/mitmproxy2swagger — mitmproxy2swagger is a tool that transforms captured mitmproxy network traffic into structured OpenAPI schemas for… nanmicoder/crawlertutorial — CrawlerTutorial is a comprehensive Python web scraping tutorial and framework designed for extracting data from static… anandnet/harmony-music. jack-cherish/python-spider — This is a collection of Python scripts designed for extracting data from popular Chinese websites and mobile… killianlucas/open-interpreter — Open Interpreter is a coding agent that uses large language models to write and execute code directly on a local host…
This project is a Python web scraping tutorial and framework designed for building automated data extraction tools and web crawlers. It provides a structured approach to navigating websites and persisting scraped data to databases. The project includes a toolset for web API analysis, focusing on reverse engineering obfuscated API requests and inspecting network traffic to extract structured data. It also covers optical character recognition workflows to convert visual text within images into machine-readable strings. The framework covers capabilities for headless browser automation to handle
mitmproxy2swagger is a tool that transforms captured mitmproxy network traffic into structured OpenAPI schemas for reverse-engineering REST APIs. It functions as an OpenAPI schema converter and network traffic documentation utility, extracting API endpoints and data structures from captured network packets to create formal technical references. The tool enables the reconstruction of undocumented APIs by converting intercepted HTTP request and response patterns into specifications. It supports merging multiple traffic capture files into a single schema to incrementally expand an API map and ut
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