Search Results for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files" - Page 4
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Showing 131 open source projects for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files"
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1
mlscraper
ML-based HTML scraper that learns extraction rules from examples
mlscraper is a Python library designed to automatically extract structured data from HTML pages without requiring developers to manually write CSS selectors or XPath rules. Instead of defining extraction logic by hand, users provide a few examples of the data they want to retrieve from a webpage. It analyzes those examples within the HTML document and determines patterns or rules that can be used to extract the same type of information from similar pages. -
2
pspider
Simple Python framework for building multithreaded web crawlers
...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. Tasks are managed through queues, allowing different parts of the crawler to process work asynchronously and efficiently. PSpider defines a set of modules and utility classes that help developers manage crawling tasks, filter URLs, and process scraped content. By organizing crawling tasks into structured stages, PSpider allows developers to build scalable spiders while keeping the codebase relatively compact and readable. ... -
3
Scylla
Intelligent proxy pool for collecting and managing public proxies
...In addition to the API, the system provides a web-based interface where users can view available proxies and monitor their global distribution through a visual dashboard. It is commonly used by developers who need scalable proxy management when gathering data from the internet or building datasets for machine learning. -
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instagram-profilecrawl
Instagram profile crawler that extracts posts, tags, and stats
...The collected data can include profile metadata, post details, engagement metrics, and commenter activity, allowing users to analyze account behavior or monitor profile growth over time. It also provides scripts for downloading images from crawled profiles and logging statistics into CSV files for tracking metrics like followers, likes, and comments. -
The Apple Device Management and Security PlatformAchieve harmony across your Apple device fleet with Kandji's unmatched management and security capabilities.
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5
appcrawler
Automated mobile app crawler and testing tool built on Appium
...AppCrawler works by traversing the interface structure of an application and executing predefined or dynamically discovered actions on clickable components. Its behavior can be customized using configuration files that define traversal rules, element selection logic, and specific actions triggered by conditions encountered during testing. AppCrawler supports rule-based filtering such as blacklists and whitelists to control which elements are explored and which are ignored. -
6
Ferret
Ferret is a web scraping system
Ferret is a web scraping system. It aims to simplify data extraction from the web for UI testing, machine learning, analytics and more. ferret allows users to focus on the data. It abstracts away the technical details and complexity of underlying technologies using its own declarative language. It is extremely portable, extensible, and fast. -
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Abot
Fast and flexible C# framework for building customizable web crawlers
...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. Abot follows a modular architecture that allows developers to customize nearly every stage of the crawl process by implementing or replacing core interfaces. Abot exposes an event-driven model that enables applications to react to crawling events such as page completion or crawl restrictions. It also provides configuration options that control crawling behavior including concurrency limits, crawl delays, and request parameters. ... -
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GoSpider
Gospider - Fast web spider written in Go
GoSpider - Fast web spider written in Go. Fast web crawling. Brute force and parse sitemap.xml. Parse robots.txt. Generate and verify link from JavaScript files. Link Finder. Find AWS-S3 from response source. Find subdomains from the response source. Get URLs from Wayback Machine, Common Crawl, Virus Total, Alien Vault. Format output easy to Grep. Support Burp input. Crawl multiple sites in parallel. -
9
gocrawl
Polite concurrent web crawler library for Go with flexible hooks
gocrawl is a lightweight web crawling library written in the Go programming language that enables developers to build custom web crawlers and data extraction tools. gocrawl focuses on providing a minimal yet powerful crawling engine that can be easily extended and adapted for different web scraping or indexing tasks. It is designed to be polite when accessing websites by respecting crawling rules such as robots.txt policies and applying crawl delays for each host. It executes requests concurrently using Go’s goroutines, allowing efficient and scalable page retrieval across multiple URLs. ... -
Unrivaled Embedded Payments Solutions | NMINMI Payments is an embedded payments solution that lets SaaS platforms, Software companies and ISVs integrate, brand, and manage payment acceptance directly within their software—without becoming a PayFac or building complex infrastructure. As a full-stack processor, acquirer, and technology partner, NMI handles onboarding, compliance, and risk so you can stay focused on growth. The modular, white-label platform supports omnichannel payments, from online, mobile and in-app to in-store and unattended. Choose from full-code, low-code, or no-code integration paths and launch in weeks, not months. Built-in risk tools, flexible monetization, and customizable branding help you scale faster while keeping full control of your experience. With NMI’s developer-first tools, sandbox testing, and modern APIs, you can embed payments quickly and confidently.
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10
lxspider
Educational Python web scraping case collection for many sites
lxSpider is a collection of web scraping examples designed primarily for learning and experimentation with data extraction techniques. It gathers numerous crawler implementations that demonstrate how to collect data from a wide range of websites and online services. It focuses heavily on practical cases that illustrate how different platforms handle requests, authentication parameters, and anti-scraping protections. lxSpider includes examples targeting areas such as e-commerce platforms, social media services, content sites, research databases, and information portals. ... -
11
ast-hook-forjs-re
AST-based JavaScript reverse engineering and variable tracing toolkit
...This allows ast-hook-for-js-RE to capture variable values in memory and store them in a searchable database, effectively enabling variable-level monitoring of program execution. When a user encounters encrypted parameters in network requests, the captured variable data can be searched to determine where those values originated in the code. Once the relevant variable and code location are identified, analysts can trace backward to extract or reproduce the encryption logic used by the site. -
12
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. It provides a structured approach to building scraping projects through components such as data items, spiders, middleware, and plugins. Developers can define structured fields to extract information from HTML content and process responses asynchronously to improve crawling performance. ... -
13
bt-btt
Guide and resources for accessing and using the U3C3 BitTorrent site
...It explains how BitTorrent and magnet link downloads operate, including the role of trackers and distributed hash table (DHT) networks in locating peers and downloading files. BT-btt also discusses different ways users can search for torrent resources, including strategies for improving search results when dealing with multiple language variants or different character encodings. Additional documentation explains why certain statistics such as active download counts may not always be accurate when DHT-based downloads are used. -
14
proxypool
Proxy crawler that aggregates, tests, and serves usable proxy nodes
...After collecting these nodes, proxypool processes them by removing duplicates and verifying whether each node is functional. proxypool then provides a usable list of proxy nodes that have passed availability checks. proxypool supports several popular proxy protocols, allowing it to work with multiple types of proxy infrastructures. The behavior of the crawler and the sources it scans can be configured through configuration files, enabling users to customize how nodes are gathered and maintained. It also supports scheduled crawling to continuously update the proxy list and keep the pool current with newly discovered nodes. -
15
GoogleScraper
Python tool for scraping search engine results from many providers
...By running automated queries and collecting results in bulk, the project can assist with tasks such as SEO research, trend discovery, or building datasets of websites related to specific keywords. GoogleScraper also includes capabilities for running multiple scraping tasks concurrently to improve performance and increase the amount of collected data. -
16
ECommerceCrawlers
Collection of Python ecommerce and website crawler examples projects
...It aims to help developers understand the full workflow of web scraping, including request simulation, data extraction, storage, and handling anti-scraping techniques. It includes crawlers for platforms such as ecommerce marketplaces, blogging platforms, recruitment sites, and social networks, providing real-world practice scenarios. Developers can study the individual project documentation to understand the analysis process. -
17
X-RAY
The next web scraper, see through the <html> noise
Supports strings, arrays, arrays of objects, and nested object structures. The schema is not tied to the structure of the page you're scraping, allowing you to pull the data in the structure of your choosing. The API is entirely composable, giving you great flexibility in how you scrape each page. Paginate through websites, scraping each page. X-ray also supports a request delay and a pagination limit. Scraped pages can be streamed to a file, so if there's an error on one page, you won't lose what you've already scraped. ... -
18
WebExtractServer
WebExtractServer use with WebExtractLte for use with web browsers
Browse data, fetched by WebExtractLte directly in your browser. Designed to be used with Webscraper (webscraper.io) - third party web scraper tool, available as plugin for Chrome and Firefox. -
19
SEO MACROSCOPE
SEO Macroscope is a website scanning tool, to check your website
...Analyze redirect chains. Use custom filters to verify the presence/absence of tracking tags. Use CSS Selectors, XPath Queries, and Regular Expressions to scrape website data. -
20
django-dynamic-scraper
Creating Scrapy scrapers via the Django admin interface
...Since it simplifies things DDS is not usable for all kinds of scrapers, but it is well suited for the relatively common case of regularly scraping a website with a list of updated items (e.g. news, events, etc.) and then dig into the detail page to scrape some more infos for each item. Django Dynamic Scraper tries to keep its data structure in the database as separated as possible from the models in your app, so it comes with its own Django model classes for defining scrapers, runtime information related to your scraper runs and classes. -
21
mzitu
Python crawler that downloads image galleries and analyzes titles
...Using text segmentation and frequency analysis, the project can create a word cloud representing common keywords found in the dataset. This makes the repository both a scraping example and a small data analysis experiment built around the collected content. Overall, mzitu serves as a learning-oriented implementation of Python web scraping, data processing, and visualization techniques. -
22
Twitter Intelligence
Twitter Intelligence OSINT project performs tracking and analysis
...This project is a Python 3.x application. The package dependencies are in the file requirements.txt. Run that command to install the dependencies. SQLite is used as the database. Tweet data is stored on the Tweet, User, Location, Hashtag, HashtagTweet tables. The database is created automatically. analysis.py performs analysis processing. User, hashtag, and location analyzes are performed. You must write Google Map API Key in setting.py to display Google Maps. -
23
GitGet
Ever wanted to download only a part of a Git repository.
Ever wanted to download only a part of a Git repository. Just paste the URL of the repo you want to download and sit back and enjoy. This simple java application makes use of Web Scraping and downloads only those files you need, thus helping you save your precious bandwidth and space. -
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WeChatSogou
Python library to crawl and retrieve data from WeChat accounts
WechatSogou is an open source Python library designed to retrieve data from WeChat official accounts by using the Sogou WeChat search service as its data source. It provides developers with a programmatic way to search for public accounts and collect article information without manually browsing the search interface. It functions as a crawler interface that sends requests to the search engine, retrieves results, and converts the returned pages into structured data that can be used in applications or analysis pipelines. ... -
25
pyspider
A powerful Spider(Web Crawler) system in Python
...Or using MySQL or MongoDB and RabbitMQ to deploy a distributed crawl cluster. To deploy pyspider in product environment, running component in each process and store data in database service is more reliable and flexible. To deploy pyspider components in each single processes, you need at least one database service. pyspider now supports MySQL, MongoDB and PostgreSQL. You can choose one of them.
