# Python Web Scraping This list contains python libraries related to web scraping and data processing * [Python Web Scraping](#python-web-scraping) * [Network](#network) * [Web Scraping](#web-scraping) * [HTML/XML](#htmlxml) * [Text processing](#text-processing) * [Structured Formats](#structured-formats) * [Natural Language Processing](#natural-language-processing) * [Browser automation](#browser-automation) * [Multiprocessing](#multiprocessing) * [Job Queue](#job-queue) * [Message Queue](#message-queue) * [Cloud Computing](#cloud-computing) * [Email](#email) * [URL and Network Address](#url-and-network-address) * [Web Content Extraction](#web-content-extraction) * [Asynchronous](#asynchronous) * [WebSocket](#websocket) * [DNS Resolving](#dns-resolving) * [Computer Vision](#computer-vision) * [Proxy Server](#proxy-server) * [Whois](#whois) * [Serialization](#serialization) * [Other Python Lists](#other-python-lists) ## Network ### Network : General * [urllib](https://docs.python.org/3.4/library/urllib.html?highlight=urllib#module-urllib) - network library (stdlib) * [requests](https://github.com/kennethreitz/requests) - network library * [grab](https://github.com/lorien/grab) - network library (pycurl based) * [pycurl](https://github.com/pycurl/pycurl) - network library (binding to [libcurl](http://curl.haxx.se/libcurl/)) * [urllib3](https://github.com/shazow/urllib3) - Python HTTP library with thread-safe connection pooling, file post support, sanity friendly, and more. * [httplib2](https://github.com/jcgregorio/httplib2) - network library * [RoboBrowser](https://github.com/jmcarp/robobrowser) - A simple, Pythonic library for browsing the web without a standalone web browser. * [MechanicalSoup](https://github.com/hickford/MechanicalSoup) - A Python library for automating interaction with websites. * [mechanize](https://github.com/python-mechanize/mechanize) - Stateful programmatic web browsing. * [socket](https://docs.python.org/3/library/socket.html) low-level networking interface (stdlib) * [Unirest for Python](https://github.com/Mashape/unirest-python) - Unirest is a set of lightweight HTTP libraries available in multiple languages * [hyper](https://github.com/Lukasa/hyper) - HTTP/2 Client for Python * [PySocks](https://github.com/Anorov/PySocks) - Updated and actively maintained version of SocksiPy, with bug fixes and extra features. Acts as a drop-in replacement to the socket module. ### Network : Asynchronous * [treq](https://github.com/dreid/treq) - requests like API (twisted based) * [aiohttp](https://github.com/KeepSafe/aiohttp) - http client/server for asyncio (PEP-3156) ### Network : Low Level * [dpkt](https://github.com/kbandla/dpkt) - fast, simple packet creation / parsing, with definitions for the basic TCP/IP protocols * [pyOpenSSL](https://github.com/pyca/pyopenssl) - A Python wrapper around the OpenSSL library * [tlslite-ng](https://github.com/tomato42/tlslite-ng) - TLS implementation in pure python ## Web Scraping ### Web Scraping : Frameworks * [grab](http://docs.grablib.org/en/latest/#grab-spider-user-manual) - web-scraping framework (pycurl/multicurl based) * [scrapy](http://scrapy.org/) - web-scraping framework (twisted based). * [pyspider](https://github.com/binux/pyspider) - A powerful spider system. * [cola](https://github.com/chineking/cola) - A distributed crawling framework. * [ruia](https://github.com/howie6879/ruia) - Async Python 3.6+ web scraping micro-framework based on asyncio ### Web Scraping : Tools * [portia](https://github.com/scrapinghub/portia) - Visual scraping for Scrapy. * [restkit](https://github.com/benoitc/restkit) - HTTP resource kit for Python. It allows you to easily access to HTTP resource and build objects around it. * [requests-html](https://github.com/kennethreitz/requests-html) - Pythonic HTML Parsing for Humans. * [ScrapydWeb](https://github.com/my8100/scrapydweb) - A full-featured web UI for Scrapyd cluster management, which supports Scrapy Log Analysis & Visualization, Auto Packaging, Timer Tasks, Email Notice and so on. ## HTML/XML ### HTML/XML : General * [lxml](http://lxml.de) - effective HTML/XML processing library. Supports XPATH. Written in C. * [cssselect](https://pythonhosted.org/cssselect) - working with DOM tree with CSS selectors * [pyquery](http://pythonhosted.org//pyquery/) - working with DOM tree with jQuery-like selectors * [BeautifulSoup](http://www.crummy.com/software/BeautifulSoup/bs4/doc/) - slow HTML/XMl processing library, written in pure python * [html5lib](http://html5lib.readthedocs.org/en/latest/) - builds DOM of HTML/XML document according to [WHATWG spec](url=http://www.whatwg.org/). That spec is used in all modern browsers. * [feedparser](http://pythonhosted.org/feedparser/) - parsing of RSS/ATOM feeds. * [MarkupSafe](https://github.com/mitsuhiko/markupsafe) - Implements a XML/HTML/XHTML Markup safe string for Python. * [xmltodict](https://github.com/martinblech/xmltodict) - Working with XML feel like you are working with JSON. * [xhtml2pdf](https://github.com/chrisglass/xhtml2pdf) - HTML/CSS to PDF converter. * [untangle](https://github.com/stchris/untangle) - Converts XML documents to Python objects for easy access. * [hodor](https://github.com/CompileInc/hodor) - Configuration driven wrapper around lxml and cssselect. * [chopper](https://github.com/jurismarches/chopper) - Tool to extract a part from HTML page with corresponding CSS rules and preserving correct HTML. * [selectolax](https://github.com/rushter/selectolax) - Python bindings to Modest engine (fast HTML5 parser with CSS selectors). ### HTML/XML : Sanitizing * [Bleach](http://bleach.readthedocs.org/en/latest/) - cleaning of HTML (requires html5lib) * [sanitize](https://github.com/Alir3z4/sanitize) - Bringing sanity to world of messed-up data. ## Text Processing Libraries for parsing and manipulating plain texts. ### Text Processing : General * [difflib](https://docs.python.org/3/library/difflib.html) - (Python standard library) Helpers for computing deltas. * [Levenshtein](https://github.com/ztane/python-Levenshtein/) - Fast computation of Levenshtein distance and string similarity. * [fuzzywuzzy](https://github.com/seatgeek/fuzzywuzzy) - Fuzzy String Matching. * [esmre](https://code.google.com/p/esmre/) - Regular expression accelerator. * [ftfy](https://github.com/LuminosoInsight/python-ftfy) - Makes Unicode text less broken and more consistent automagically. ### Text Processing : Transliteration * [unidecode](https://pypi.python.org/pypi/Unidecode) - ASCII transliterations of Unicode text. ### Text Processing : Character Encoding * [uniout](https://github.com/moskytw/uniout) - Print readable chars instead of the escaped string. * [chardet](https://github.com/chardet/chardet) - Python 2/3 compatible character encoding detector. * [xpinyin](https://github.com/lxneng/xpinyin) - A library to translate Chinese hanzi (漢字) to pinyin (拼音). * [pangu.py](https://github.com/vinta/pangu.py) - Spacing texts for CJK and alphanumerics. * [cchardet](https://github.com/PyYoshi/cChardet) - cChardet is high speed universal character encoding detector. - binding to uchardet. ### Text Processing : Slugify * [awesome-slugify](https://github.com/dimka665/awesome-slugify) - A Python slugify library that can preserve unicode. * [python-slugify](https://github.com/un33k/python-slugify) - A Python slugify library that translates unicode to ASCII. * [unicode-slugify](https://github.com/mozilla/unicode-slugify) - A slugifier that generates unicode slugs. * [pytils](https://github.com/j2a/pytils) - Simple tools for processing strings in russian (including pytils.translit.slugify) ### Text Processing : General Parser * [PLY](http://www.dabeaz.com/ply/) - Implementation of lex and yacc parsing tools for Python * [pyparsing](http://pyparsing.wikispaces.com/) - A general purpose framework for generating parsers. ### Text Processing : Human Names * [python-nameparser](https://github.com/derek73/python-nameparser) - Parsing human names into their individual components. ### Text Processing : Phone Number * [phonenumbers](https://github.com/daviddrysdale/python-phonenumbers) - Parsing, formatting, storing and validating international phone numbers. ### Text Processing :: User-Agent strings * [python-user-agents](https://github.com/selwin/python-user-agents) - Browser user agent parser. * [HTTP Agent Parser](https://github.com/shon/httpagentparser) - Python HTTP Agent Parser * [fake-useragent](https://github.com/hellysmile/fake-useragent) - Python user agent string faker, based on world statistic of browsers * [user_agent](https://github.com/lorien/user_agent) - Generator of User-Agent data ### Text Processing : robots.txt * [reppy](https://github.com/seomoz/reppy) - Modern robots.txt Parser for Python ### Text Processing :: Date and Time * [dateutil](https://github.com/dateutil/dateutil) - Useful extensions to the standard Python datetime features ## Structured Formats Libraries for parsing and manipulating specific text formats. ### Structured Formats : General * [tablib](https://github.com/kennethreitz/tablib) - A module for Tabular Datasets in XLS, CSV, JSON, YAML. * [textract](https://github.com/deanmalmgren/textract) - Extract text from any document, Word, PowerPoint, PDFs, etc. * [messytables](https://github.com/okfn/messytables) - Tools for parsing messy tabular data * [rows](https://github.com/turicas/rows) - A common, beautiful interface to tabular data, no matter the format (currently CSV, HTML, XLS, TXT -- more coming!) ### Structured Formats : Office * [python-docx](https://github.com/python-openxml/python-docx) - Reads, queries and modifies Microsoft Word 2007/2008 docx files. * [xlwt](https://github.com/python-excel/xlwt) / [xlrd](https://github.com/python-excel/xlrd) - Writing and reading data and formatting information from Excel files. * [XlsxWriter](https://xlsxwriter.readthedocs.org/) - A Python module for creating Excel .xlsx files. * [xlwings](http://xlwings.org/) - A BSD-licensed library that makes it easy to call Python from Excel and vice versa. * [openpyxl](https://openpyxl.readthedocs.org/en/latest/) - A library for reading and writing Excel 2010 xlsx/xlsm/xltx/xltm files. * [Marmir](https://github.com/brianray/mm) - Takes Python data structures and turns them into spreadsheets. ### Structured Formats : PDF * [PDFMiner](https://github.com/euske/pdfminer) - A tool for extracting information from PDF documents. * [PyPDF2](https://github.com/mstamy2/PyPDF2) - A library capable of splitting, merging and transforming PDF pages. * [ReportLab](http://www.reportlab.com/opensource/) - Allowing Rapid creation of rich PDF documents. * [pdftables](https://pypi.python.org/pypi/pdftables) - Extract tables from PDF files directly ### Structured Formats : Markdown * [Python-Markdown](https://github.com/waylan/Python-Markdown) - A Python implementation of John Gruber’s Markdown. * [Mistune](https://github.com/lepture/mistune) - Fastest and full featured pure Python parsers of Markdown. * [markdown2](https://pypi.python.org/pypi/markdown2) - A fast and complete Python implementation of Markdown ### Structured Formats : YAML * [PyYAML](https://github.com/yaml/pyyaml) - YAML implementations for Python. ### Structured Formats : CSS * [cssutils](https://pypi.python.org/pypi/cssutils/) - A CSS library for Python. ### Structured Formats : ATOM/RSS * [feedparser](http://pythonhosted.org/feedparser/) - Universal feed parser. ### Structured Formats : SQL * [sqlparse](https://sqlparse.readthedocs.org/) - A non-validating SQL parser. ### Structured Formats : HTTP * [http-parser](https://github.com/benoitc/http-parser) - HTTP request/response parser for python in C ### Structured Formats : Microformats * [opengraph](https://github.com/erikriver/opengraph) - A Python module to parse the Open Graph Protocol tags ### Structured Formats : Portable Executable * [pefile](https://github.com/erocarrera/pefile) - A multi-platform module to parse and work with Portable Executable (aka PE) files. ### Structured Formats : PSD * [psd-tools](https://github.com/kmike/psd-tools) - reading Adobe Photoshop PSD files (as described in [specification](https://www.adobe.com/devnet-apps/photoshop/fileformatashtml/PhotoshopFileFormats.htm)) to Python data structures. ## Natural Language Processing Libraries for working with human languages. * [NLTK](http://www.nltk.org/) - A leading platform for building Python programs to work with human language data. * [Pattern](http://www.clips.ua.ac.be/pattern) - A web mining module for the Python. It has tools for natural language processing, machine learning, among others. * [TextBlob](http://textblob.readthedocs.org/) - Providing a consistent API for diving into common NLP tasks. Stands on the giant shoulders of NLTK and Pattern. * [jieba](https://github.com/fxsjy/jieba) - Chinese Words Segmentation Utilities. * [SnowNLP](https://github.com/isnowfy/snownlp) - A library for processing Chinese text. * [loso](https://github.com/victorlin/loso) - Another Chinese segmentation library. * [genius](https://github.com/duanhongyi/genius) - A Chinese segment base on Conditional Random Field. * [langid.py](https://github.com/saffsd/langid.py) - Stand-alone language identification system. * [Korean](https://korean.readthedocs.org/) - A library for [Korean](http://en.wikipedia.org/wiki/Korean_language) morphology. * [pymorphy2](https://github.com/kmike/pymorphy2) - Morphological analyzer (POS tagger + inflection engine) for Russian language. * [PyPLN](https://github.com/NAMD/pypln.backend) - A distributed pipeline for natural language processing, made in Python. he goal of the project is to create an easy way to use NLTK for processing big corpora, with a Web interface. * [langdetect](https://github.com/Mimino666/langdetect) - Port of Google's language-detection library to Python ## Browser Automation ### Browser Automation : Browsers * [selenium](http://selenium-python.readthedocs.io/) - automating real browsers (Chrome, Firefox, Opera, IE) * [Ghost.py](http://carrerasrodrigo.github.io/Ghost.py/) - wrapper of QtWebKit (requires PyQT) * [Spynner](https://github.com/makinacorpus/spynner) - wrapper of QtWebKit QtWebKit (requires PyQT) * [Splinter](https://github.com/cobrateam/splinter) - univeral API to browser emulators (selenium webdrivers, django client, zope) * [Requestium](https://github.com/tryolabs/requestium) - Integration layer between Requests and Selenium for automation of web actions. * [Splash](https://github.com/scrapinghub/splash) - Lightweight, scriptable browser as a service with an HTTP API. * [pyppeteer](https://github.com/miyakogi/pyppeteer) - Headless chrome/chromium automation library (unofficial port of puppeteer) ### Browser Automation : Tools * [xvfbwrapper](https://github.com/cgoldberg/xvfbwrapper) - Python wrapper for running a display inside X virtual framebuffer (Xvfb) ## Multiprocessing * [threading](http://docs.python.org/3/library/threading.html) - standard python library to run threads. Effective for I/O-bound tasks. Useless for CPU-bound tasks because of python GIL. * [multiprocessing](http://docs.python.org/3/library/multiprocessing.html) - standard python library to run processes. * [concurrent-futures](https://docs.python.org/3/library/concurrent.futures.html) - The concurrent.futures module provides a high-level interface for asynchronously executing callables. ## Asynchronous Libraries for asynchronous networking programming. * [asyncio](https://docs.python.org/3/library/asyncio.html) - (Python standard library in Python 3.4+) Asynchronous I/O, event loop, coroutines and tasks. * [Twisted](https://twistedmatrix.com/trac/) - An event-driven networking engine. * [Tornado](http://www.tornadoweb.org/) - A Web framework and asynchronous networking library. * [pulsar](https://github.com/quantmind/pulsar) - Event-driven concurrent framework for Python. * [diesel](https://github.com/jamwt/diesel) - Greenlet-based event I/O Framework for Python. * [gevent](http://www.gevent.org/) - A coroutine-based Python networking library that uses [greenlet](https://github.com/python-greenlet/greenlet). * [eventlet](http://eventlet.net/) - Asynchronous framework with WSGI support. * [Tomorrow](https://github.com/madisonmay/Tomorrow) - Magic decorator syntax for asynchronous code. * [grequests](https://github.com/kennethreitz/grequests) - Make asynchronous HTTP Requests easily. ## Job Queue * [celery](http://www.celeryproject.org/) - An asynchronous task queue/job queue based on distributed message passing. * [huey](https://github.com/coleifer/huey) - Little multi-threaded task queue. * [mrq](https://github.com/pricingassistant/mrq) - Mr. Queue - A distributed worker task queue in Python using Redis & gevent. * [RQ](https://github.com/rq/rq) - lightweight task queue manager based on redis * [simpleq](https://github.com/rdegges/simpleq) - A simple, infinitely scalable, Amazon SQS based queue. * [python-gearman](https://github.com/Yelp/python-gearman) - python API for Gearman ## Message Queue * [kombu](https://github.com/celery/kombu) - Messaging library for Python ## Cloud Computing * [picloud](http://docs.picloud.com/) - executing python-code in cloud * [dominoup.com](http://www.dominoup.com/) - executing R, Python и matlab code in cloud * [minigun-requests](https://github.com/umihico/minigun-requests) - Web scraping API to outsource tons of GET & xpath to cloud computing * [pythonista-chromeless](https://github.com/umihico/pythonista-chromeless) - AWS lambda which execute given python code on selenium ## Email Libraries for parsing email. * [flanker](https://github.com/mailgun/flanker) - A email address and Mime parsing library. * [Talon](https://github.com/mailgun/talon) - Mailgun library to extract message quotations and signatures. ## URL and Network Address Libraries for parsing/modifying URLs and network addresses. ### URL and Network Address : URL * [furl](https://github.com/gruns/furl) - A small Python library that makes manipulating URLs simple. * [purl](https://github.com/codeinthehole/purl) - A simple, immutable URL class with a clean API for interrogation and manipulation. * [urllib.parse](https://docs.python.org/3/library/urllib.parse.html) - interface to break Uniform Resource Locator (URL) strings up in components (addressing scheme, network location, path etc.), to combine the components back into a URL string, and to convert a “relative URL” to an absolute URL given a “base URL.” (stdlib) * [tldextract](https://github.com/john-kurkowski/tldextract) - Accurately separate the TLD from the registered domain and subdomains of a URL, using the Public Suffix List. ### URL and Network Address : Network Address * [netaddr](https://github.com/drkjam/netaddr) - A Python library for representing and manipulating network addresses. * [micawber](https://github.com/coleifer/micawber) - A small library for extracting rich content from URLs. ## Web Content Extraction Libraries for extracting web contents. * [newspaper](https://github.com/codelucas/newspaper) - News extraction, article extraction and content curation in Python. * [python-goose](https://github.com/grangier/python-goose) - HTML Content/Article Extractor. * [scrapely](https://github.com/scrapy/scrapely) - Library for extracting structured data from HTML pages. Given some example web pages and the data to be extracted, scrapely constructs a parser for all similar pages. * [htmldate](https://github.com/adbar/htmldate) - Find creation date using common structural patterns or text-based heuristics. * [lassie](https://github.com/michaelhelmick/lassie) - Web Content Retrieval for Humans. * [html2text](https://github.com/Alir3z4/html2text) - Convert HTML to Markdown-formatted text. * [libextract](https://github.com/datalib/libextract) - Extract data from websites. * [python-readability](https://github.com/buriy/python-readability) - Fast Python port of arc90's readability tool. * [sumy](https://github.com/miso-belica/sumy) - A module for automatic summarization of text documents and HTML pages. * [Haul](https://github.com/vinta/Haul) - An Extensible Image Crawler. * [you-get](http://www.soimort.org/you-get/) - A YouTube/Youku/Niconico video downloader written in Python 3. * [youtube-dl](http://rg3.github.io/youtube-dl/) - A small command-line program to download videos from YouTube. * [WikiTeam](https://github.com/WikiTeam/wikiteam) - Tools for downloading and preserving wikis. * [linkchecker](https://github.com/wummel/linkchecker) - check links in web documents or full websites * [python-sitemap](https://github.com/c4software/python-sitemap) - Mini website crawler to make sitemap from a website. ## WebSocket Libraries for working with WebSocket. * [Crossbar](https://github.com/crossbario/crossbar/) - Open-source Unified Application Router (Websocket & WAMP for Python on Autobahn). * [AutobahnPython](https://github.com/tavendo/AutobahnPython) - WebSocket & WAMP for Python on Twisted and [asyncio](https://docs.python.org/3/library/asyncio.html). * [WebSocket-for-Python](https://github.com/Lawouach/WebSocket-for-Python) - WebSocket client and server library for Python 2 and 3 as well as PyPy. ## DNS Resolving * [dnsyo](https://github.com/samarudge/dnsyo) - Check your DNS against over 1500 global DNS servers. * [pycares](https://github.com/saghul/pycares) - interface to c-ares. c-ares is a C library that performs DNS requests and name resolutions asynchronously ## Computer Vision * [OpenCV](https://github.com/Itseez/opencv) - Open Source Computer Vision Library. * [SimpleCV](https://github.com/sightmachine/SimpleCV) - Concise, readable interface for cameras, image manipulation, feature extraction, and format conversion (based on OpenCV). * [mahotas](https://github.com/luispedro/mahotas) - fast computer vision algorithms (all implemented in C++) operating over numpy arrays. ## Proxy Server * [scylla](https://github.com/imWildCat/scylla) - Intelligent proxy pool for Humans * [ProxyBroker](https://github.com/constverum/Proxybroker) - Proxy [Finder | Checker | Server]. HTTP(S) & SOCKS * [shadowsocks](https://github.com/shadowsocks/shadowsocks) - A fast tunnel proxy that helps you bypass firewalls (TCP & UDP support, User management API, TCP Fast Open, Workers and graceful restart, Destination IP blacklist) * [tproxy](https://github.com/benoitc/tproxy) - tproxy is a simple TCP routing proxy (layer 7) built on Gevent that lets you configure the routine logic in Python ## Whois * [python-whois](https://github.com/joepie91/python-whois) - A python module for retrieving and parsing WHOIS data ## Serialization * [ujson](https://github.com/esnme/ultrajson) - Ultra fast JSON decoder and encoder written in C with Python bindings ## Other python lists * [awesome-python](https://github.com/vinta/awesome-python) * [pycrumbs](https://github.com/kirang89/pycrumbs/blob/master/pycrumbs.md) * [python-github-projects](https://github.com/checkcheckzz/python-github-projects) * [python_reference](https://github.com/rasbt/python_reference) * [pythonidae](https://github.com/svaksha/pythonidae)