Showing 33 open source projects for "compiler python linux"

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  • 1
    Scrapy

    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...
    Downloads: 27 This Week
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  • 2
    CyberScraper 2077

    CyberScraper 2077

    A Powerful web scraper powered by LLM | OpenAI, Gemini & Ollama

    CyberScraper 2077 is not just another web scraping tool – it's a glimpse into the future of data extraction. Born from the neon-lit streets of a cyberpunk world, this AI-powered scraper uses OpenAI, Gemini and LocalLLM Models to slice through the web's defenses, extracting the data you need with unparalleled precision and style.
    Downloads: 8 This Week
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  • 3
    finvizfinance

    finvizfinance

    Finviz analysis python library

    finvizfinance is a package that collects financial information from FinViz website. Stock charts, fundamental & technical information, insider information and stock news. Forex charts and performance. Crypto charts and performance. Screener and Group provide data frames for comparing stocks according to different filters and trading signals. Getting information (fundament, description, outer rating, stock news, inside trader) of an individual stock.
    Downloads: 3 This Week
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  • 4
    Roach

    Roach

    The complete web scraping toolkit for PHP

    Roach is a complete web scraping toolkit for PHP. It is a shameless clone heavily inspired by the popular Scrapy package for Python. Roach allows us to define spiders that crawl and scrape web documents. But wait, there’s more. Roach isn’t just a simple crawler, but includes an entire pipeline to clean, persist and otherwise process extracted data as well. It’s your all-in-one resource for web scraping in PHP. Roach doesn’t depend on a specific framework. Instead, you can use the core package...
    Downloads: 4 This Week
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  • 5
    Gerapy

    Gerapy

    Distributed Crawler Management Framework Based on Scrapy

    Distributed Crawler Management Framework Based on Scrapy, Scrapyd, Scrapyd-Client, Scrapyd-API, Django and Vue.js. 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...
    Downloads: 1 This Week
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  • 6
    Basketball Reference

    Basketball Reference

    NBA Stats API via Basketball Reference

    Basketball Reference is a great site (especially for a basketball stats nut like me), and hopefully, they don't get too pissed off at me for creating this. I initially wrote this library as an exercise for creating my first PyPi package, hope you find it valuable! This library was created for another Python project where I was trying to estimate an NBA player's productivity. A lot of sports-related APIs are expensive - luckily, Basketball Reference provides a free service which can be scraped...
    Downloads: 1 This Week
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  • 7
    MechanicalSoup

    MechanicalSoup

    A Python library for automating interaction with websites

    A Python library for automating interaction with websites. MechanicalSoup automatically stores and sends cookies, follows redirects, and can follow links and submit forms. It doesn't do JavaScript. MechanicalSoup was created by M Hickford, who was a fond user of the Mechanize library. Unfortunately, Mechanize was incompatible with Python 3 until 2019 and its development stalled for several years. MechanicalSoup provides a similar API, built on Python giants Requests (for HTTP sessions...
    Downloads: 0 This Week
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  • 8
    Selectolax

    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.
    Downloads: 0 This Week
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  • 9
    img2dataset

    img2dataset

    Easily turn large sets of image urls to an image dataset

    Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine. Also supports saving captions for url+caption datasets. Opt-out directives: Websites can pass the http headers X-Robots-Tag: noai, X-Robots-Tag: noindex , X-Robots-Tag: noimageai and X-Robots-Tag: noimageindex By default img2dataset will ignore images with such headers.
    Downloads: 0 This Week
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  • 10
    dude uncomplicated data extraction

    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.
    Downloads: 0 This Week
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  • 11
    Trafilatura

    Trafilatura

    Python & command-line tool to gather text on the Web

    Trafilatura is a Python package and command-line tool designed to gather text on the Web. It includes discovery, extraction and text-processing components. Its main applications are web crawling, downloads, scraping, and extraction of main texts, metadata and comments. It aims at staying handy and modular: no database is required, the output can be converted to various commonly used formats. Going from raw HTML to essential parts can alleviate many problems related to text quality, first...
    Downloads: 0 This Week
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  • 12
    Scrapy-Redis

    Scrapy-Redis

    Redis-based components for Scrapy

    You can start multiple spider instances that share a single redis queue. Best suitable for broad multi-domain crawls. Scraped items gets pushed into a redis queued meaning that you can start as many as needed post-processing processes sharing the items queue. Scheduler + Duplication Filter, Item Pipeline, Base Spiders. 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...
    Downloads: 0 This Week
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  • 13
    ScrapydWeb

    ScrapydWeb

    Web app for Scrapyd cluster management

    Web app for Scrapyd cluster management, with support for Scrapy log analysis & visualization. Make sure that Scrapyd has been installed and started on all of your hosts. Start ScrapydWeb via command scrapydweb. (a config file would be generated for customizing settings on the first startup.) Add your Scrapyd servers, both formats of string and tuple are supported, you can attach basic auth for accessing the Scrapyd server, as well as a string for grouping or labeling. You can select any...
    Downloads: 0 This Week
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  • 14
    Crawlab

    Crawlab

    Distributed web crawler admin platform for spiders management

    Golang-based distributed web crawler management platform, supporting various languages including Python, NodeJS, Go, Java, PHP and various web crawler frameworks including Scrapy, Puppeteer, Selenium. Please use docker-compose to one-click to start up. By doing so, you don't even have to configure MongoDB database. The frontend app interacts with the master node, which communicates with other components such as MongoDB, SeaweedFS and worker nodes. Master node and worker nodes communicate...
    Downloads: 0 This Week
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  • 15
    Letterboxd Recommendations

    Letterboxd Recommendations

    Scraping publicly-accessible Letterboxd data for movie recommendations

    Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username. 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...
    Downloads: 0 This Week
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  • 16
    Scrapyd

    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...
    Downloads: 0 This Week
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  • 17
    JobFunnel

    JobFunnel

    Scrape job websites into a single spreadsheet with no duplicates.

    Scrape job websites into a single spreadsheet with no duplicates. Automated tool for scraping job postings into a .csv file. You can search for jobs with YAML configuration files or by passing command arguments. By performing regular scraping and reviewing, you can cut through the noise of even the busiest job markets. Run funnel with your settings YAML to populate your master CSV file with jobs from available providers. JobFunnel can be easily automated to run nightly with crontab. If you...
    Downloads: 0 This Week
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  • 18
    AutoScraper

    AutoScraper

    A Smart, Automatic, Fast and Lightweight Web Scraper for Python

    This project is made for automatic web scraping to make scraping easy. It gets a URL or the HTML content of a web page and a list of sample data that we want to scrape from that page. This data can be text, URL or any HTML tag value of that page. It learns the scraping rules and returns similar elements. Then you can use this learned object with new URLs to get similar content or the exact same element of those new pages.
    Downloads: 0 This Week
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  • 19

    webotron

    Using industrial automation techniques for creating web scraping tools

    Industry uses machines that can easily maim or kill their operators and is also used in very adverse environments. In spite of this, production quality must be close to perfect without reliance on operator skill or attentiveness. Control programs must be robust, yet simple enough to be understood and maintained by non programmer skilled trades like electricians . The main programming model is the PLC which implements double buffering and an event loop. The most advanced production model...
    Downloads: 1 This Week
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  • 20

    dorker-py

    Descubre archivos, rutas escondidas realizando busquedas avanzadas

    Dorking Google - Dorker Py Descubre archivos, rutas escondidas realizando busquedas avanzadas (ES) Discover files, hidden paths by performing advanced searches (EN)
    Downloads: 0 This Week
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  • 21
    JSSoup

    JSSoup

    JavaScript + BeautifulSoup = JSSoup

    I'm a fan of Python library BeautifulSoup. It's feature-rich and very easy to use. But when I am working on a small react-native project, and I tried to find a HTML parser library like BeautifulSoup, I failed. So I want to write a HTML parser library that can be so easy to use just like BeautifulSoup in Javascript. JSSoup uses tautologistics/node-htmlparser as HTML dom parser, and creates a series of BeautifulSoup like API on top of it. JSSoup supports both node and react-native. JSSoup tries...
    Downloads: 0 This Week
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  • 22
    CEF Python

    CEF Python

    Python bindings for the Chromium Embedded Framework (CEF)

    Python bindings for the Chromium Embedded Framework (CEF). CEF Python is an open source project founded by Czarek Tomczak in 2012 to provide Python bindings for the Chromium Embedded Framework (CEF). The Chromium project focuses mainly on Google Chrome application development while CEF focuses on facilitating embedded browser use cases in third-party applications. Lots of applications use CEF control, there are more than 100 million CEF instances installed around the world. There are numerous...
    Downloads: 0 This Week
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  • 23
    django-dynamic-scraper

    django-dynamic-scraper

    Creating Scrapy scrapers via the Django admin interface

    Django Dynamic Scraper (DDS) is an app for Django build on top of the scraping framework Scrapy. While preserving many of the features of Scrapy it lets you dynamically create and manage spiders via the Django admin interface. With Django Dynamic Scraper (DDS) you can define your Scrapy scrapers dynamically via the Django admin interface and save your scraped items in the database you defined for your Django project. Since it simplifies things DDS is not usable for all kinds of scrapers, but...
    Downloads: 1 This Week
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  • 24
    YouTube Video Downloader

    YouTube Video Downloader

    Allows you to download youtube videos into a video/audio format.

    YouTube Video Downloader By Chase, This is a tool developed in python, by web scraping I can get the videos from YouTube and download it on my machine in a video/audio format, easy-to-use GUI for your needs, dark theme.
    Downloads: 0 This Week
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  • 25
    Twitter Intelligence

    Twitter Intelligence

    Twitter Intelligence OSINT project performs tracking and analysis

    A project written in Python for Twitter tracking and analysis without using Twitter API. 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...
    Downloads: 0 This Week
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