Search Results for "using"
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Showing 43 open source projects for "using"
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Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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Vibes don’t ship, Retool doesVibe coding tools create cool demos, but Retool helps you build software your company can actually use. Generate internal apps that connect directly to your data—deployed in your cloud with enterprise security from day one. Build dashboards, admin panels, and workflows with granular permissions already in place. Stop prototyping and ship on a platform that actually passes security review.
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1
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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jsoup
Java library for working with real-world HTML
jsoup is a Java library for working with real-world HTML. It provides a very convenient API for fetching URLs and extracting and manipulating data, using the best of HTML5 DOM methods and CSS selectors. jsoup implements the WHATWG HTML5 specification, and parses HTML to the same DOM as modern browsers do. jsoup is designed to deal with all varieties of HTML found in the wild; from pristine and validating, to invalid tag-soup; jsoup will create a sensible parse tree. The parser will make every attempt to create a clean parse from the HTML you provide, regardless of whether the HTML is well-formed or not. ... -
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rvest
Simple web scraping for R
...It is designed to work with magrittr to make it easy to express common web scraping tasks, inspired by libraries like beautiful soup and RoboBrowser. If you’re scraping multiple pages, I highly recommend using rvest in concert with polite. The polite package ensures that you’re respecting the robots.txt and not hammering the site with too many requests. -
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Crawl4AI
Open-source LLM Friendly Web Crawler & Scraper
Crawl4AI is a high-performance, AI‑ready web crawler tailored for LLM data ingestion and RAG pipelines. It supports adaptive crawling heuristics (stopping when enough info is gathered), structured markdown output, and high-speed parallel execution. Designed to operate at scale with optional Docker deployment and framework integrations. -
Outgrown Windows Task Scheduler?Windows Task Scheduler wasn't built for complex, cross-platform automation. Get a free diagnostic that shows exactly where things are failing and provides remediation recommendations. Interactive HTML report delivered in minutes.
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Ferret
Declarative web scraping
A web scraping system aiming to simplify data extraction from the web. ferret has a declarative query language that makes it easy to focus on the data that you need to get. ferret has the ability to scrape JS rendered pages, handle all page events, and emulate user interactions. the ferret was designed as a library from the ground up. it can be easily embedded into any Go application. ferret helps you to focus on the data you need using an easy-to-learn declarative language. ferret uses Chrome/Chromium via Chrome Devtools Protocol to handle dynamically rendered web pages. ferret is extremely extensible, and creating custom functions and types is super easy. ferret allows users to focus on the data. It abstracts away the technical details and complexity of underlying technologies using its own declarative language. ... -
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ScrapeGraphAI
Python scraper based on AI
Extracting content from websites and local documents using LLM. ScrapeGraphAI is a web scraping python library that uses LLM and direct graph logic to create scraping pipelines for websites and local documents (XML, HTML, JSON, Markdown, etc.). Just say which information you want to extract and the library will do it for you. -
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Selectolax
Python binding to Modest and Lexbor engines
A fast HTML5 parser with CSS selectors using Modest and Lexbor engines. Selectolax supports two backends: Modest and Lexbor. By default, all examples use the Modest backend. Most of the features between backends are almost identical, but there are still some differences. Currently, the Lexbor backend is in beta and missing some of the features. To use lexbor, just import the parser and use it in the similar way to the HTMLParser. -
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changedetection.io
The best free open source website change detection and restock service
...From simply monitoring website pages that have a change (such as watching prices, and restocking notifications), to deep inspection such as PDF text support, JSON and XML monitoring, and extensive text triggers. Monitor out-of-stock products and get alerts when those products are back in stock, get restock alerts via Discord, Slack, email, and many other platforms. Using the browser steps configuration, add basic steps before performing change detection, such as logging into websites, adding a product to a cart, accepting cookie logins, entering dates, and refining searches. Monitor and track PDF file changes, and know when a PDF file has text changes. Know when your favourite product is on sale, or other special deals are announced before anyone else. ... -
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Letterboxd Recommendations
Scraping publicly-accessible Letterboxd data for movie recommendations
...A user's "star" ratings are scraped from their Letterboxd profile and assigned numerical ratings from 1 to 10 (accounting for half stars). Their ratings are then combined with a sample of ratings from the top 4000 most active users on the site to create a collaborative filtering recommender model using singular value decomposition (SVD). All movies in the full dataset that the user has not rated are run through the model for predicted scores and the items with the top predicted scores are returned. Due to constraints in time and computing power, the maximum sample size that a user is allowed to select is 500,000 samples, though there are over five million ratings in the full dataset from the top 4000 Letterboxd users alone. -
Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
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html-metadata
MetaData html scraper and parser for Node.js (supports Promises
The aim of this library is to be a comprehensive source for extracting all HTML-embedded metadata. Currently, it supports Schema.org microdata using a third-party library, a native BEPress, Dublin Core, Highwire Press, JSON-LD, Open Graph, Twitter, EPrints, PRISM, and COinS implementation, and some general metadata that doesn't belong to a particular standard (for instance, the content of the title tag, or meta description tags). Planned is support for RDFa, AGLS, and other yet unheard-of metadata types. ... -
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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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Scrapy-Redis
Redis-based components for Scrapy
...Default requests serializer is pickle, but it can be changed to any module with loads and dumps functions. Note that pickle is not compatible between python versions. Version 0.3 changed the requests serialization from marshal to cPickle, therefore persisted requests using version 0.2 will not able to work on 0.3. The class scrapy_redis.spiders.RedisSpider enables a spider to read the urls from redis. The urls in the redis queue will be processed one after another, if the first request yields more requests, the spider will process those requests before fetching another url from redis. -
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miniblink49
Lighter, faster browser kernel of blink to integrate HTML UI in apps
miniblink is an open source, one file, small browser widget based on chromium. By using C interface, you can create a browser with just some line code. miniblink is an open source, single-file, and currently the smallest known chromium-based browser control. Through its exported pure C interface, a browser control can be created in a few lines of code. C++, C#, Delphi and other language calls (support C++, C#, Delphi language to call). -
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KemonoDownloader
Kemono Downloader - A cross-platform Python app built with PyQt6
Welcome to Kemono Downloader, a versatile Python-based desktop application built with PyQt6, designed to download content from Kemono.su. This tool enables users to archive individual posts or entire creator profiles from services like Patreon, Fanbox, and more, supporting a wide range of file types with customizable settings and advanced features. -
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Web Spider, Web Crawler, Email Extractor
Free Extracts Emails, Phones and custom text from Web using JAVA Regex
In Files there is WebCrawlerMySQL.jar which supports MySql Connection Free Web Spider & Crawler. Extracts Information from Web by parsing millions of pages. Store data into Derby Database and data are not being lost after force closing the spider. - Free Web Spider , Parser, Extractor, Crawler - Extraction of Emails , Phones and Custom Text from Web - Export to Excel File - Data Saved into Derby and MySQL Database - Written in Java Cross Platform Also See Free email Sender :... -
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Rapid Reference
An extension that allows for hassle-free website citation/referencing.
...You can check the preview of the cited references in the panel 4. You can copy the citation list to the clipboard through simply clicking the "Copy Citation" button 5. You're Done! Thanks for using my software 😊 -
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Gerapy
Distributed Crawler Management Framework Based on Scrapy
...Someone who has worked as a crawler with Python may use Scrapy. Scrapy is indeed a very powerful crawler framework. It has high crawling efficiency and good scalability. It is basically a necessary tool for developing crawlers using Python. If you use Scrapy as a crawler, then of course we can use our own host to crawl when crawling, but when the crawl is very large, we can’t run the crawler on our own machine, a good one. The method is to deploy Scrapy to a remote server for execution. At this time, you might use Scrapyd. With it, we only need to install Scrapyd on the remote server and start the service. ... -
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Ayakashi
The next generation web scraping framework
...Ayakashi helps you build scraping and automation systems that are easy to build simple or sophisticated, highly performant, maintainable, and built for change. Ayakashi's way of finding things in the page and using them is done with props and domQL. Directly inspired by the relational database world (and SQL), domQL makes DOM access easy and readable no matter how obscure the page's structure is. Props are the way to package domQL expressions as re-usable structures which can then be passed around to actions or to be used as models for data extraction. -
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YouTube video web scraper 2 [ISA]
YouTube video web scraper 2 [Improved.Simplified.Alternative]
'YouTube video web scraper 2' is an desktop application developed using python 3.11.4 and other add-on libaries. Finds YouTube video based on user request and view as table. Export the table as excel. Compatible only for windows OS. -
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ACHE Focused Crawler
ACHE is a web crawler for domain-specific search
...While ACHE was originally designed to perform focused crawls, it also supports other crawling tasks, including crawling all pages in a given web site and crawling Dark Web sites (using the TOR protocol). -
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Scrapyd
A service daemon to run Scrapy spiders
Scrapyd can manage multiple projects and each project can have multiple versions uploaded, but only the latest one will be used for launching new spiders. A common (and useful) convention to use for the version name is the revision number of the version control tool you’re using to track your Scrapy project code. For example: r23. The versions are not compared alphabetically but using a smarter algorithm (the same packaging uses) so r10 compares greater to r9, for example. Scrapyd is an application (typically run as a daemon) that listens to requests for spiders to run and spawns a process for each one. ... -
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webotron
Using industrial automation techniques for creating web scraping tools
...All hardware must extremely robust and well sealed from the surrounding environment. The webotron project is a program environment which emulates the above for building web scraping tools using temporary Add-on programs running in the Firefox browser. The browser is used to handle all internet interaction and also as a user interface -
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Web Spider, Web Crawler, Email Extractor
Free Extracts Emails, Phones and custom text from Web using JAVA Regex
In Files there is WebCrawlerMySQL.jar which supports MySql Connection Please follow this link to get latest version https://sourceforge.net/projects/web-spider-web-crawler-extract/ Free Web Spider & Crawler. Extracts Information from Web by parsing millions of pages. Store data into Derby OR MySQL Database and data are not being lost after force closing the spider. - Free Web Spider , Parser, Extractor, Crawler - Extraction of Emails , Phones and Custom Text from Web - Export... -
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soup
Web Scraper in Go, similar to BeautifulSoup
...NodeValue containing the current html node's value, i.e. the tag name for an ElementNode, or the text in case of a TextNode. Error containing an error in a struct if one occurs, else nil is returned. A detailed text explanation of the error can be accessed using the Error() function. A field Type in this struct of type ErrorType will denote the kind of error that took place. -
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Till
DataHen Till is a companion tool to your existing web scraper
DataHen Till is a companion tool to your existing web scraper that instantly makes it scalable, maintainable, and more unblockable, with minimal code changes on your scraper. Integrates with any scraper in 5 minutes. Web scraping is usually easy to get started, especially on a small scale. However, as you try to scale it up, it gets exponentially difficult. Scraping 10,000 records can easily be done with simple web scraper scripts in any programming language, but as you try to scrape...
