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CONTRIBUTING.md
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CONTRIBUTING.md
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# Contributing
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Your contributions are always welcome!
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## Guidelines
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* Clone the web-scraping repo.
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* Add section if needed.
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* Add section description.
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* Add section title to Table of contents.
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* Search previous suggestions before making a new one, as yours may be a duplicate.
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* Add your links: `* [project-name](http://example.com/) - A short description ends with a dot.` Do not use common words in description. Try to describe unique features of that library.
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* Check your spelling and grammar.
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* Make sure your text editor is set to remove trailing whitespace.
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* Send a Pull Request.
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Makefile
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html:
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html:
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python -m markdown README.md > html/README.html
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python -m markdown README.md > html/README.html
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python -m markdown python.md > html/python.html
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python -m markdown python.md > html/python.html
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python -m markdown web_service.md > html/web_service.html
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@ -8,4 +8,9 @@ The list of tools, programming libraries and APIs used in web-scraping.
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## Other
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## Other
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* [Python](http://github.com/lorien/web-scraping/blob/master/web_service.md)
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* [Web Services](http://github.com/lorien/web-scraping/blob/master/web_service.md)
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## [Contributing](https://github.com/lorien/web-scraping/blob/master/CONTRIBUTING.md)
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Make this list better! Your contributions are always welcome!
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python.md
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python.md
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## Network Request
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## Network Request
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* [urllib](https://docs.python.org/3.4/library/urllib.html?highlight=urllib#module-urllib) - standard python network library
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* [urllib](https://docs.python.org/3.4/library/urllib.html?highlight=urllib#module-urllib) - standard python network library
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* [requests](http://www.python-requests.org/) - network library
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* [requests](http://www.python-requests.org/) - network library
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* [grab](http://github.com/lorien/grab) - network library (pycurl based)
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* [grab](http://docs.grablib.org/en/latest/) - network library (pycurl based)
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* [pycurl](http://pycurl.sourceforge.net/) - network library (binding to [libcurl](http://curl.haxx.se/libcurl/))
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* [pycurl](http://pycurl.sourceforge.net/) - network library (binding to [libcurl](http://curl.haxx.se/libcurl/))
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* [urllib3](https://github.com/shazow/urllib3) - network library
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* [urllib3](https://github.com/shazow/urllib3) - network library
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## Web-Scraping Frameworks
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## Web-Scraping Frameworks
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* [grab](http://github.com/lorien/grab) - web-scraping framework (pycurl/multicurl based)
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* [grab](http://docs.grablib.org/en/latest/#grab-spider-user-manual) - web-scraping framework (pycurl/multicurl based)
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* [scrapy](http://scrapy.org/) - web-scraping framework (twisted based)
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* [scrapy](http://scrapy.org/) - web-scraping framework (twisted based). Does not support Python3.
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## HTML/XML Parsing
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## HTML/XML Parsing
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* [lxml](http://lxml.de) - effective HTML/XML processing library. Supports XPATH.
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* [lxml](http://lxml.de) - effective HTML/XML processing library. Supports XPATH. Written in C.
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* [cssselect](https://pythonhosted.org/cssselect) - quering DOM tree with CSS expressions
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* [cssselect](https://pythonhosted.org/cssselect) - working with DOM tree with CSS selectors
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* [pyquery](http://pythonhosted.org//pyquery/) - парсинг XML/HTML с помощью jquery-запросов (требует lxml)
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* [pyquery](http://pythonhosted.org//pyquery/) - working with DOM tree with jQuery-like selectors
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* [BeautifulSoup](http://www.crummy.com/software/BeautifulSoup/bs4/doc/) - глючная тормозная библиотека для парсинга XML/HTML, не поддерживающая xpath запросы, плюсом является то, что она написана на чистом питоне.
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* [BeautifulSoup](http://www.crummy.com/software/BeautifulSoup/bs4/doc/) - slow HTML/XMl processing library, written in pure python
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* [WHATWG](http://html5lib.readthedocs.org/en/latest/]html5lib[/url] - парсинг и сериализация HTML по спецификации [url=http://www.whatwg.org/) (на неё ориентируются современные веб-браузеры). Возможно выбрать для построения DOM-дерева, как встроенные средства питона, так и библиотеки lxml или BeautifulSoup.
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* [html5lib](http://html5lib.readthedocs.org/en/latest/) - building DOM of HTML/XML парсинг according to [WHATWG spec](url=http://www.whatwg.org/). That spec is used in all modern browsers.
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* [feedparser](http://pythonhosted.org/feedparser/) - парсинг RSS и ATOM фидов.
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* [feedparser](http://pythonhosted.org/feedparser/) - parsing of RSS/ATOM feeds.
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* [Bleach](http://bleach.readthedocs.org/en/latest/) - библиотека для очистки HTML (требует html5lib)
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* [Bleach](http://bleach.readthedocs.org/en/latest/) - cleaning of HTML (requires html5lib)
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## Эмуляторы браузеров
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## Browser automation and emulation
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* [selenium](http://selenium.googlecode.com/git/docs/api/py/api.html) - средство для тестирования веб-интерфейсов с помощью реальных браузеров: google chrome, opera, firefox, IE. Можно и сайты через него парсить. Есть некоторые неудобства, связанные с идеологией инструмента - он позволяет эмулировать внешние действия пользователя. Например, задать свой собственный Referer - это уже проблема. Не требует дополнительных зависимостей.
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* [selenium](http://selenium.googlecode.com/git/docs/api/py/api.html) - automating real browsers (Chrome, Firefox, Opera, IE)
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* [Ghost.py](http://carrerasrodrigo.github.io/Ghost.py/) - обёртка над QtWebKit (требует PyQt или PySide)
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* [Ghost.py](http://carrerasrodrigo.github.io/Ghost.py/) - wrapper of QtWebKit (requires PyQT)
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* [Spynner](https://github.com/makinacorpus/spynner) - ещё одна обёртка над QtWebKit, более ничего не знаю про эту либу :)
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* [Spynner](https://github.com/makinacorpus/spynner) - wrapper of QtWebKit QtWebKit (requires PyQT)
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## Параллельная многозадачность
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## Multiprocessing
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* [threading](http://docs.python.org/2.7/library/threading.html) - встроенный в python модуль для реализации многозадачности с помощью тредов (объекты языка, выполняющиеся в одном процессе). Минусы подхода в том, что вы не можете загрузить вычислениями более одного ядра.
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* [threading](http://docs.python.org/2.7/library/threading.html) - standard python library to run threads. Effective for I/O-bound tasks. Useless for CPU-bound tasks because of python GIL.
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* [multiprocessing](http://docs.python.org/2.7/library/multiprocessing.html) - встроенный в python модуль для реализации многозадачности с помощью процессов
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* [multiprocessing](http://docs.python.org/2.7/library/multiprocessing.html) - standard python library to run processes.
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* [celery](http://celery.readthedocs.org/en/latest/index.html) - навороченная реализация очереди задач, поддерживающая различные бэкенды для хранения этой самой очереди задач.
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* [celery](http://celery.readthedocs.org/en/latest/index.html) - task queue manager
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* [RQ](http://python-rq.org/docs/) - легковесная очередь задач, использующая redis
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* [RQ](http://python-rq.org/docs/) - lightweight task queue manager based on redis
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## Облачные вычислениях
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## Cloud Computing
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* [picloud](http://docs.picloud.com/) - выполнение python-кода в облаке
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* [picloud](http://docs.picloud.com/) - executing python-code in cloud
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* [dominoup.com](http://www.dominoup.com/) - выполнение R, Python и matlab кода в облаке
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* [dominoup.com](http://www.dominoup.com/) - executing R, Python и matlab code in cloud
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# Web-scraping Web Services
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* [import.io](https://import.io/) - bla bla bla
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