Projects sharing features with Trafilatura

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

GeneralNewsExtractor is a specialized system for identifying and extracting structured news data through configurable HTML filtering and XPath-based parsing. It functions as an automated news scraper and web page content parser that isolates article bodies and metadata from news webpages. The system uses YAML or JSON configuration files to manage extraction rules and XPath definitions, decoupling the processing logic from site-specific selectors. This allows for targeted noise removal and the isolation of titles, authors, and publication dates through customizable filtering. The tool covers

iflow-cli is a command-line interface and suite of AI tools designed for software engineering, workflow orchestration, and multimodal data analysis. It functions as an LLM command line interface that enables users to execute AI workflows, analyze codebase structures, and interact with large language models directly from the terminal. The project features a plugin-based agent architecture that allows for the integration of specialized domain experts and custom instruction sets from an external marketplace. It distinguishes itself through a multimodal AI terminal capable of processing visual da

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

Defuddle is a command line web parser and content extractor designed to isolate the primary article body from web pages and convert the result into standardized markdown. It functions as a content cleaner that removes layout clutter, such as sidebars and headers, to retrieve the main text and associated metadata. The tool provides a terminal interface that processes content from remote URLs, local files, or piped HTML streams. It supports custom content targeting, allowing users to specify CSS selectors to manually define the main content area when automatic detection is insufficient. The sy

Postlight Parser is a command-line tool that extracts the main article content from any web page URL, returning clean structured data including the title, author, date, excerpt, and lead image while stripping away ads and clutter. It uses a readability-based heuristic that scores HTML elements on text density and structural cues to identify the article body, and can accept pre-fetched HTML strings directly for parsing instead of fetching the URL. The tool distinguishes itself through a modular architecture that supports domain-specific extractor overrides, allowing custom JavaScript modules t

This project is a specialized TikTok API scraper and data extractor. It functions as a proxy-based web scraper designed to collect user metadata, video posts, and trend feeds, while providing a webhook data pipeline to route scraped information to external URLs via HTTP requests. The tool includes a watermark-free video downloader that saves high-definition content to local storage. It employs cryptographic request signing for server authentication and utilizes session cookie authentication combined with proxy rotation to manage network traffic and avoid rate limits. Capabilities cover bulk

Sumy is a text summarization library and toolset designed to identify and extract the most important sentences from plain text documents and HTML web pages. It functions as an extractive summarization system, meaning it selects representative original sentences from a source text without generating new words or modifying existing phrasing. The project provides a suite of algorithmic methods for content distillation, including frequency-based sentence scoring and graph-based text ranking. It also includes utilities for HTML-to-text sanitization to isolate primary content and heuristic filterin

This is a tool for searching, downloading, and archiving articles and engagement metadata from WeChat official accounts. It functions as a web-based content scraper and data exporter, allowing for the automated retrieval of social media content and the collection of performance metrics. The project distinguishes itself through a system that captures session credentials and authentication cookies from desktop clients via a local proxy to access private engagement data. It utilizes a concurrent proxy-pool fetching mechanism to download large volumes of content while avoiding rate limits, and it

Scrapy is a comprehensive framework designed for automated web data extraction and large-scale crawling. It operates on an asynchronous, event-driven engine that manages non-blocking network requests and data processing tasks, allowing for the efficient retrieval of structured information from web documents using path-based selectors. The system distinguishes itself through a highly modular architecture that supports complex data collection workflows. Users can implement custom middleware and signal handlers to intercept and modify request flows, while a priority-based scheduler manages concu

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

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

Kreuzberg is a document extraction engine that converts PDFs, Office files, images, and over 90 other formats into clean, structured text and metadata. It is built around a compiled Rust core that can be used as a native library, a command-line tool, a REST API server, or a WebAssembly module for browser-based processing. The system is designed to run entirely on self-hosted infrastructure, with no data leaving the user's environment. What distinguishes Kreuzberg is its breadth of integration surfaces and its pipeline architecture. It exposes extraction capabilities through native bindings fo

osv-scanner is a software composition analysis tool and vulnerability scanner that checks project dependencies and container images against the Open Source Vulnerabilities database. It functions as a dependency remediation tool and can be integrated into custom Go applications as a programmable security library. The project distinguishes itself through a remediation workflow that includes an interactive terminal user interface and automated scripting for upgrading vulnerable packages in lockfiles and manifests. It employs call-graph reachability analysis to determine if vulnerable code is act

Physical Web is a physical-to-digital interaction framework and wireless object discovery protocol. It connects physical beacons to web URLs via wireless advertisement packets, allowing users to access digital content and trigger web-based interactions without the need for dedicated native applications. The system utilizes a Bluetooth Low Energy beacon system and a web link broadcaster to transmit public addresses to nearby mobile devices. To ensure cross-hardware discovery, it supports multi-protocol broadcasting across Bluetooth, mDNS, and SSDP. Privacy is maintained through the use of obfu

Lark CLI is a terminal-based tool designed for automating tasks and managing resources across the Lark and Feishu productivity ecosystem. It functions as a cloud workspace automator and REST API client, providing a command line interface to programmatically manage organizational documents, calendars, emails, and tasks. The project distinguishes itself through an AI agent skill framework that allows for the integration and deployment of both bundled and custom skills. It features an identity-aware execution context that enables switching between user and bot identities, and employs a sidecar-b

Newspaper is a Python library designed for scraping, parsing, and analyzing web-based information. It functions as a framework for automated news aggregation and large-scale web content extraction, providing tools to download, clean, and structure text, metadata, and media from diverse online sources. The project distinguishes itself through a pipeline-oriented architecture that combines heuristic-based content extraction with natural language processing. It automatically identifies and isolates article bodies from web page boilerplate while simultaneously performing language detection, keywo

Valhalla is an open-source routing engine that calculates optimal paths and travel times using OpenStreetMap data. It is built around a tiled routing graph framework, allowing map data to be organized into small geographic tiles for efficient regional updates and offline routing capability. The project distinguishes itself through a multimodal routing server that combines automobile, pedestrian, bicycle, and public transit modes into single journeys. It includes a GPS trace matching engine to align noisy coordinates to the most probable road network paths and an isochrone and matrix generator

Grav is a flat-file content management system that eliminates the need for a traditional database by storing site content and configuration in human-readable Markdown and YAML files. Built as a modular PHP web framework, it uses a hierarchical page routing system where the physical directory structure directly determines the site's URL paths. The platform is distinguished by its event-driven plugin architecture and a command-line interface that prioritizes system administration, deployment, and maintenance tasks. It utilizes a blueprint-driven system to generate administrative forms from stru

Feeder is an RSS and Atom feed reader that aggregates content into a single interface. It functions as a full-text content extractor that removes website clutter to isolate the main body of articles, and a self-hosted feed synchronizer that maintains subscription lists and read statuses across devices via a private backend server. The application integrates AI services and external API keys to translate and generate concise summaries of long-form articles. It also features a text-to-speech reader that uses system engines with automatic language detection to convert written content into spoken

requests-html is a Python HTML parsing library and web scraping framework. It functions as an asynchronous HTTP client and a JavaScript rendering engine designed to fetch and parse web pages for structured data extraction. The project integrates a headless browser to execute JavaScript, allowing it to retrieve dynamically generated content that standard HTML parsers cannot see. It provides tools for automated data extraction using CSS selectors and XPath expressions to isolate specific text or attributes from HTML structures. The framework covers network operations including asynchronous pag

ReadYou is a self-hosted reading application and RSS feed aggregator that centralizes content from multiple web sources. It functions as a full-text RSS reader, extracting the complete body text from web pages to provide a distraction-free reading experience. The application includes specialized accessibility and speed tools, such as a bionic reading mode that uses pattern-based text highlighting to guide the eye and a text-to-speech system for audio content consumption. The project covers comprehensive subscription management through OPML import and export, feed categorization, and keyword-

Feedbin is an RSS feed aggregator that collects and organizes updates from websites, video channels, and playlists into a chronological list. It functions as a centralized content manager, providing tools for feed aggregation and the organization of web-based information. The service distinguishes itself by converting email newsletters into feed entries via unique email aliases and offering a dedicated podcast manager that tracks playback progress across devices. It also includes a full-text extractor to retrieve complete articles when source feeds only provide snippets and a system to track

Summarize is a command line tool and multimodal content extractor designed to generate concise summaries from web pages, documents, and media files. It functions as an orchestrator that connects developer tools to various language model providers to process and condense information. The system provides specialized capabilities for audio and video processing, including transcription with speaker identification and the extraction of timestamped visual markers from video slides. It also includes a translation utility to convert generated summaries and extracted text into different target languag

Pup is a command line tool for extracting and filtering data from HTML documents using CSS selectors. It functions as a parser and selector engine that isolates specific elements based on tags, IDs, classes, and attributes. The project provides utilities for converting selected HTML nodes into plain text, attribute values, or structured JSON objects. It includes a markup formatter that corrects missing tags and applies consistent indentation to improve the readability of HTML documents. The tool handles the retrieval of text content and attributes through a CSS selector engine, supporting co