Search Results for "web mapping framework"
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23 projects for "web mapping framework" with 2 filters applied:
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Scrapling
An adaptive Web Scraping framework
Scrapling is an adaptive web scraping framework designed to handle everything from a single HTTP request to large-scale, concurrent crawls. Built for modern websites, it intelligently adapts to structural changes by automatically relocating elements when page layouts update. The framework includes advanced fetchers capable of bypassing anti-bot protections such as Cloudflare Turnstile using stealth and browser automation techniques. -
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Scrapy
A fast, high-level web crawling and web scraping framework
Scrapy is a fast, open source, high-level framework for crawling websites and extracting structured data from these websites. Portable and written in Python, it can run on Windows, Linux, macOS and BSD. Scrapy is powerful, fast and simple, and also easily extensible. Simply write the rules to extract the data, and add new functionality if you wish without having to touch the core. Scrapy does the rest, and can be used in a number of applications. It can be used for data mining, monitoring... -
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FEAPDER
Powerful Python crawler framework for scalable web scraping tasks
feapder is a Python-based web crawling framework designed to simplify the process of building scalable and efficient web scrapers. It focuses on providing a developer-friendly environment that makes it easier to create, run, and manage crawlers for a variety of data collection tasks. It includes several built-in spider types, such as AirSpider, Spider, TaskSpider, and BatchSpider, which address different crawling scenarios ranging from lightweight scraping to distributed and batch-based jobs. feapder supports features such as breakpoint resume, allowing crawlers to continue from where they stopped without losing progress. ... -
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Toapi
Convert websites into structured APIs automatically with Python tool
Toapi is a Python library designed to transform ordinary websites into usable API services. Instead of building a traditional web crawler that collects and stores data before exposing it through an API, Toapi simplifies the process by allowing developers to define data structures that automatically generate an API layer from existing web pages. It works by parsing HTML content from a source site and mapping selected elements into structured data that can be returned as JSON through API endpoints. ... -
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gain
Asyncio-based Python framework for building fast web crawling spiders
Gain is a Python web crawling framework designed to simplify the process of building efficient and scalable web scrapers. It is built on top of asynchronous technologies such as asyncio, aiohttp, and uvloop to support high-performance crawling with concurrent network requests. It provides a structured framework for creating spiders that can navigate websites, extract structured data, and process the collected results. -
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Python API for JMComic
Python crawler and API for downloading JMComic albums and images
JMComic-Crawler-Python is a Python library and crawler framework designed to programmatically access and download comic content from the JMComic platform. It provides a structured API that allows developers to retrieve albums, chapters, and images using simple Python code while handling the necessary network requests and data processing behind the scenes. It supports both web-based and mobile API interfaces, enabling flexible interaction with the platform depending on the available endpoints. ... -
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katana
Fast CLI web crawler for discovering endpoints in modern web apps
Katana is an open source command-line web crawling and spidering framework developed by ProjectDiscovery. It is designed to efficiently crawl websites and web applications in order to discover endpoints, resources, and other useful information that may not be easily visible through manual browsing. Katana focuses on speed and automation, making it suitable for use in security reconnaissance workflows and automated pipelines. -
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QueryList
Progressive PHP web crawler framework with jQuery-like DOM parsing
QueryList is an extensible PHP web scraping and crawling framework designed to extract and process data from web pages. It provides a simple and expressive API that allows developers to collect structured information from HTML documents using familiar DOM traversal techniques. It is built on top of phpQuery and uses CSS3 selectors similar to those found in jQuery, making it easy for developers to query and manipulate page elements during scraping tasks. -
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Pydoll
Async Python library in automating Chromium browsers without WebDriver
...Its architecture is built around asynchronous programming using Python’s asyncio framework, enabling concurrent automation of multiple tabs and browser contexts. Pydoll also includes tools for monitoring and intercepting network traffic, allowing developers to analyze or modify requests and responses during automation workflows. It emphasizes realistic interactions and fingerprint management to reduce the likelihood of automated actions. -
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Geziyor
Blazing fast Go framework for web crawling and data scraping tasks
Geziyor is a high-performance web crawling and web scraping framework built for the Go programming language. It is designed to help developers crawl websites and extract structured information from web pages efficiently. It focuses on speed and scalability, allowing large numbers of requests to be processed concurrently. Geziyor supports use cases such as data mining, monitoring web content, and automated testing workflows. -
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DotnetSpider
Lightweight .NET framework for fast web crawling and data scraping
DotnetSpider is a web crawling and data extraction framework built on the .NET Standard platform. It is designed to help developers create efficient and scalable crawlers for collecting structured data from websites. It provides a high-level API that simplifies the process of defining spiders, managing requests, and extracting content from web pages. Developers can create custom spiders by extending base classes and configuring pipelines that handle downloading, parsing, and storing collected data. ... -
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Maxun
Small event-delegation library for decoupling event binding and handli
...It is archived and marked as read-only, indicating that the project is no longer actively maintained or intended for production use. The README states that ongoing development has migrated into a larger framework under the Angular project. It includes modules for dispatching events, for capturing native events, for custom event details, and for action flows. Because it is purely JavaScript (and uses HTML for test harnesses), it is suited for web browsers and front-end use. Although deprecated, it can still serve as a reference for how to architect event delegation and binding abstractions. -
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spider_collection
Collection of Python web scraping scripts for data extraction tasks
spider_collection is a collection of Python web crawler scripts created primarily for experimentation, learning, and practical scraping tasks. spider_collection gathers multiple independent spiders designed to collect data from different platforms and services, demonstrating a variety of scraping techniques and workflows. These crawlers make use of common Python scraping tools such as requests, parsel, BeautifulSoup, and the Scrapy framework to extract structured information from web pages. ... -
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dude uncomplicated data extraction
dude uncomplicated data extraction: A simple framework
Dude is a very simple framework for writing web scrapers using Python decorators. The design, inspired by Flask, was to easily build a web scraper in just a few lines of code. Dude has an easy-to-learn syntax. Dude is currently in Pre-Alpha. Please expect breaking changes. You can run your scraper from terminal/shell/command-line by supplying URLs, the output filename of your choice and the paths to your python scripts to dude scrape command. -
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crawly
High-level web crawling and scraping framework for Elixir apps
Crawly is a high-level application framework for crawling websites and extracting structured data using the Elixir programming language. It provides a complete environment for building web crawlers that systematically visit pages, collect information, and transform that data into structured formats for further processing. Crawly is designed for tasks such as data mining, information processing, and building historical archives of web content. -
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pspider
Simple Python framework for building multithreaded web crawlers
PSpider is a lightweight web crawling framework written in Python designed to simplify the development of custom web spiders. It focuses on providing an easy-to-understand architecture while still supporting concurrent crawling for improved performance. It uses a multithreaded model that separates the crawling workflow into several components responsible for fetching, parsing, and saving data. -
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appcrawler
Automated mobile app crawler and testing tool built on Appium
AppCrawler is an automated mobile application testing tool designed to explore and interact with app user interfaces automatically. Built on top of the Appium automation framework, it systematically crawls through application screens and performs actions such as clicking buttons, navigating menus, and interacting with UI elements to simulate user behavior. It is commonly used for automated functional testing, UI exploration, and detecting crashes or unexpected behaviors in mobile... -
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Abot
Fast and flexible C# framework for building customizable web crawlers
Abot is an open source C# web crawler framework designed to help developers efficiently crawl and process web content. It focuses on speed, flexibility, and extensibility while handling the complex low-level tasks involved in web crawling. It manages essential components such as multithreading, HTTP requests, scheduling, and link parsing so developers can focus on processing the collected data. -
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ruia
Async Python framework for fast and flexible web scraping spiders
Ruia is an asynchronous web scraping micro-framework built for Python that focuses on simplicity, speed, and flexibility when creating web crawlers. Ruia is powered by Python’s asyncio library along with aiohttp, enabling developers to perform concurrent network requests efficiently and scrape data from websites with minimal overhead. Ruia follows a “write less, run faster” philosophy, emphasizing concise code and streamlined spider development. -
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Gecco
Lightweight Java web crawler framework with jQuery-style extraction
Gecco is a lightweight web crawler framework written in Java that simplifies the process of building web scraping applications. It is designed to make crawler development straightforward by allowing developers to extract page elements using jQuery-style selectors rather than complex parsing logic. It integrates several well-known Java libraries and frameworks, including tools for HTTP requests, HTML parsing, JSON processing, and application development. -
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Crawler.NET is a component-based distributed framework for web traversal intended for the .NET platform. It comprises of loosely coupled units each realizing a specific web crawler task. The main design goals are efficiency and flexibility.
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Aracnis is a Java based framework for building distributed web spiders. These spiders can be used to accomplish a variety of tasks, for example, screen-scraping and link integrity checking.
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Arachnid is a Java-based web spider framework. It includes a simple HTML parser object that parses an input stream containing HTML content. Simple Web spiders can be created by sub-classing Arachnid and adding a few lines of code called after each page
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