Saravanan666/pypi-org huggingface dataset:
Package: scrambler
Modern python environments tend to place the active packages in different places in the filesystem.Scrambler symlinks active python packages into a single folder.This allows quick traversal to available modules during development, and places namespaced packages into a logical filesystem.This package was inspired bycollective.recipe.omelette, but does not require
a buildout environment to runInstallationpip install scramblerRunningBy default, scrambler will symlink the packages available into a folder “scrambled”Run with the command:` scrambler `You can specify a different folder with the target option` scrambler--targetfoo `Build status
Package: scram-client
scram-clientThis is the client python script that needs to be installed on a system in order to inject blackhole router blocks w/SCRAM.DependenciesThe scram-client requires a locally running Redis server if you intend to use the queue mode.  There are also several python module dependencies (see below).InstallationThe scram-client is generally installed into a python3 virtual environment via:(scram_client_venv)$ pip install git+https://github.com/esnet-security/scram-client.git#egg=scram_clientor via ansible, similar to:- name: Install Shared Pip Dependencies
    pip:
      name: "{{ item }}"
      virtualenv: "{{ scram_client_venv }}"
    loop:
      - "git+https://github.com/esnet-security/scram-client.git#egg=scram_client"
      - "requests"
      - "prometheus-client"
      - "walrus"
    become: true
    become_user: "{{ scram_client_user }}"If you will be using the queue manager functionality as well, a template systemd file would look as follows:[Unit]
Description=scram queue management
After=network.target

[Service]
User={{ scram_client_user }}
EnvironmentFile=/etc/sysconfig/scram-client.conf
ExecStart={{ scram_client_venv }}/bin/scram-client run_queue
Restart=always
RestartSec=10s

[Install]
WantedBy=multi-user.targetConfigurationThe scram client requires a few variables to be set either in the environment or in a configuration file at/etc/sysconfig/scram-client.conf.[SCRAM]
SCRAM_HOST=scram-server.my.network
SCRAM_UUID=012a3f45-6789-1234-ab56-7890b12c345d
SCRAM_PROMETHEUS_PORT=9115
SCRAM_LOGLEVEL=INFOClient InitializationThe UUID can either be assigned by the SCRAM administrator or a client can
register itself using the API.  A registered client still needs to have the SCRAM administrator authorize the client.Auto-registration:$ source scram_client_venv/bin/activate
(scram_client_venv)$ scram-client register [server hostname]Modes of OperationBlockThe simplest mode is 'block.'  As the name implies this allows you to send a
block directly to SCRAM without any queue'ing taking place.  It's also a good
way to make sure your client is configured and working properly.$ source scram_client_venv/bin/activate
(scram_client_venv)$ cat testblock
10.1.1.4
my_note
my_msg
my_sub
600
(scram_client_venv)$ scram_client block < testblock
INFO:root:Successfully blocked 10.1.1.4 for my_note: my_msg my_sub.QueueQueue mode works in much the same way from the user perspective, but instead of directly blocking the IP, the block request is added to a queue via Redis.Run_queueRun_queue mode is generally managed via systemd and simply reads the Redis queue and then performs the 'block' mode operation.RegisterThe register comand simply generates a new UUID and sends it to the SCRAM server to initliaze a new client.  The SCRAM admin then needs to authorize the client as well as allow whichever actiontypes for that client in the SCRAM admin webUI.Sample Architecture DiagramWe use zeek here as an example service that uses the scram-client:
Package: scramjet-manager-client
Scramjet Manager clientAbout:This package provides aManager clientwhich managesTransform Hubclients.Usage:❗NOTE: You need to provide your middlewareaccess tokenif you are not hosting STH locally.importasynciofrommanager_client.manager_clientimportManagerClientfromclient_utils.base_clientimportBaseClient# your middleware tokentoken=''# set the tokenBaseClient.setDefaultHeaders({'Authorization':f'Bearer{token}'})# middleware urlapi_base='https://api.scramjet.cloud/api/v1'# url = {middlewareURL}/space/{manager_id}/api/v1manager=ManagerClient(f'{api_base}/space/org-aa5bu150-9o5c-489b-83e3-b1yf7e086f3h-manager/api/v1')res=asyncio.run(manager.get_hosts())print(res)
Package: scramjet-middleware-client
Scramjet Middleware clientAbout:This package provides aMiddleware clientto let you connect with your Scramjet Cloud Platform account.Usage:❗NOTE: You need to provide your middlewareaccess tokenif you are not hosting STH locally.importasynciofrommiddleware_client.middleware_clientimportMiddlewareClientfromclient_utils.base_clientimportBaseClient# your middleware tokentoken=''# set the tokenBaseClient.setDefaultHeaders({'Authorization':f'Bearer{token}'})# middleware urlapi_base='https://api.scramjet.cloud/api/v1'middleware=MiddlewareClient(api_base)res=asyncio.run(middleware.get_managers())print(res)
Package: scramjet-multi-manager-client
Scramjet Multi Manager clientAbout:This package provides aMulti manager clientwhich managesmanagerclients.Usage:❗NOTE: You need to provide your middlewareaccess tokenif you are not hosting STH locally.importasynciofrommulti_manager_client.multi_manager_clientimportMultiManagerClientfromclient_utils.base_clientimportBaseClient# your middleware tokentoken=''# set the tokenBaseClient.setDefaultHeaders({'Authorization':f'Bearer{token}'})# middleware urlapi_base='https://api.scramjet.cloud/api/v1'#TODO
Package: scranking
scrankingscranking is a python library that display ranking of the college swimmerOverviewScranking is a library designed specifically for extracting data fromswimcloud, a comprehensive website that showcases the times and rankings of high school and college swimmers.The library will allow users to simpily type the URL and get all the neccessary information of that swimmer.InstallInstall using 'pip install scranking' in the command line and import it to your python file like all the others.Quickstart of scrankingfromscrankingimportSwimmer# Initialize the swimmer object with your swimcloud urlswimmer=Swimmer("url")# Check if the browser is workingswimmer.get_http_status()# Create a bf4 for that swimmer objecftswimmer.get_soup()# Save the html of the website into text fileswimmer.save_soup_to_file("soup","filename.txt")# Get the full name of that swimmer with the soup you createdswimmer.get_name("soup")# Find a line html that contains swimmer's social network information and hometownswimmer.get_info("infohtml")# Get all the events for that swimmer with the best timeswimmer.get_event("soup")# A search method for get_event methodswimmer.lookup_event("40 L Free")
Package: scrap2rst
scrap2rstis an markup syntax converter from scrapbox into reStructuredText.FeaturePage headerHeading level2 if the line is strong text.Figure if the line is link to image.Image if the line contains link to image.Link if the line contains link excluding to image url.Still many limitation are exist.CommandConvert from scrapbox into reStructuredText:$ scrap2rst URL -o output.rstLicenseLicensed under the MIT Licence.CHANGESSee:https://github.com/shimizukawa/scrap2rst/blob/master/CHANGELOG.rst
Package: scrapautoscout
ScrapeautoscoutThis is a webscrapper from the largest pan-European online car market.UsageThe script runs and creates two new directories where json files with
the information extracted from the website will be saved. These can later be used to extract
more specific information about the carsInstallationTo install this package you have to download it:pipinstallscrapautoscoutAfter installation, you can run it locally with default parameters by command:scrapautoscoutOr you can see this list of parameters:scrapautoscout--help--LOCATION LOCATION - 'local' or 's3'--DIR_CACHE DIR_CACHE - Where to save artifacts. Default: 'cache' (relative to project root)--AWS_PROFILE_NAME AWS_PROFILE_NAME - AWS profile name--AWS_S3_BUCKET AWS_S3_BUCKET - AWS S3 bucket--MAKERS MAKERS [MAKERS ] - List of makers delimited by space--LOGS_LEVEL LOGS_LEVEL - Log level, e.g. 'debug', 'info', 'error'After this you can run it with specified parameters, example:scrapautoscout--LOCATION's3'
Package: scrapbook-ext
scrapbook-extExtensions forscrapbookTODOsdill encoderDirectory(internal).gitignore... specifies the files to be ignored bygit... generated by the following command:curl--parallel--locationhttps://github.com/github/gitignore/raw/HEAD/{Python,Global/{Linux,Windows,macOS,Vim,SublimeText,VisualStudioCode}}.gitignore>.gitignore
Package: scrapBoss
.. code :: python
from scrap import HappyMod,Uptodown,DlanDroid,Gamemod,Rexdl,A2zapk,Google,Warna
from scrap import Sourceforge,OceanOfGame,IpWhois
from scrap import Github_search_enggine,picSearch
happymod = HappyMod()
qresults = happymod.happymod(query="free fire")
print(qresults)
** returns the result in the form of json.**
Package: scrapbox
scrapbox-pythonAn unofficial wrapper around theScrapbox API.Installationpipinstallscrapbox# or `pipenv install scrapbox`Basic Useimportscrapboxclient=scrapbox.Client()project=client.get("/pages/help-jp/")ExamplesGet all the data of a project in JSON formatimportjsonclient=scrapbox.Client()project=client.get("/pages/help-jp/",limit=10)# https://scrapbox.io/help-jp/print(json.dumps(project,ensure_ascii=False,indent=2))"""{"projectName": "help-jp","skip": 0,"limit": 10,"count": 73,"pages": [{"id": "57c7d72ad25ef00f00100688","title": "Scrapboxの使い方","image": "https://gyazo.com/7057219f5b20ca8afd122945b72453d3/raw","descriptions": ["[https://gyazo.com/7057219f5b20ca8afd122945b72453d3]","Scrapbox（スクラップボックス）の使い方・活用方法についてご紹介します。","[* 編集を始める]","まず最初に[ブラケティング]を読んでみましょう","[* チュートリアルで雰囲気をつかむ]"],"user": {"id": "566f8b954fb08e1100af5c5b"},"pin": 9007197717386014,"views": 34396,"linked": 2,"commitId": "5cf9c78742fc7800179f8c19","created": 1472713402,"updated": 1559271981,"accessed": 1562487581,"snapshotCreated": 1559315996},..."""Get page data in JSON formatimportjsonclient=scrapbox.Client()page=client.get("/pages/help-jp/API")# https://scrapbox.io/help-jp/APIprint(json.dumps(page,ensure_ascii=False,indent=2))"""{"id": "58e67688d0a4fe0011a0249c","title": "API","image": "https://gyazo.com/5bf55bb6223a62bf4477f07a9aad39b8/raw","descriptions": ["[https://gyazo.com/5bf55bb6223a62bf4477f07a9aad39b8]","あくまで内部APIです。APIは予告なく変更を行います。","ページデータを取得するAPI","ページリスト","`/api/pages/:projectName`"],"user": {"id": "5724627723541f110097c291","name": "shokai","displayName": "Sho Hashimoto","photo": "https://lh3.googleusercontent.com/-auiW-ZOVu6Y/AAAAAAAAAAI/AAAAAAAADLg/YwBeR9cziLU/photo.jpg"},"pin": 0,"views": 7072,"linked": 1,"commitId": "5d135304ff5b5d0017cd83cc","created": 1491498636,"updated": 1561547524,"accessed": 1562490240,"snapshotCreated": 1561586966,"persistent": true,"lines": [{"id": "58e67688d0a4fe0011a0249c","text": "API","userId": "5724627723541f110097c291","created": 1491498636,"updated": 1491499158},..."""Get the body text of a pageclient=scrapbox.Client()text=client.get("/pages/help-jp/Scrapboxの使い方/text")print(text)"""Scrapboxの使い方[https://gyazo.com/7057219f5b20ca8afd122945b72453d3]Scrapbox（スクラップボックス）の使い方・活用方法についてご紹介します。[* 編集を始める]まず最初に[ブラケティング]を読んでみましょう[* チュートリアルで雰囲気をつかむ]サンプルプロジェクトScrapboxを開発するNotaが実際に利用したページを一部そのまま公開します。[Nota社のScrapboxを一部公開 https://scrapbox.io/nota-private-sample/][Scrapboxチュートリアルスライド]使い方の概要を掴むことができます実践テクニック[エンジニアの生産性をあげるScrapboxの使い方 https://scrapbox.io/business/tutorial]..."""Get the title image of a pageclient=scrapbox.Client()raw_image=client.get("/pages/help-jp/Scrapboxの使い方/icon")withopen("title.jpg","wb")asf:f.write(raw_image)# Download the top icon as "title.jpg"
Package: scrape-amazon
scrape-amazon 🚀Installation❯pipinstallscrape-amazonExampleImport as modulefromscrape_amazonimportget_reviewsreviews=get_reviews('com','B085BCWJV6')#returns dataframe#SrNo.,Reviewer,ReviewerURL,VerifiedPurchase,HelpfulCount,Rating,Title,Description,DateCLIHow to use❯scrape-amazon[domain][product_id][output_path].csvPositional Arguments:domainAmazonDomain(in/com)product_idproductidforscraping(B085BCWJV6)output_pathoutput_pathforsaving(B085BCWJV6.csv)Example❯scrape-amazoncomB085BCWJV6B085BCWJV6.csvOutput|SrNo.|Reviewer|ReviewerURL|VerifiedPurchase|HelpfulCount|Rating|Title|Description|Date||:---:|:------------:|:----------------------------------------------------------------------:|:--------------:|:----------:|:----:|:-----------------------:|:-----------------:|:--------:||0|MissBrea|https://amazon.com/gp/profile/amzn1.account.AFCGYZNNVKNA4VXFGYO5YTVUUTFA|YES|0|5|Great|Iusedit...|12/10/2022||1|BasilSaunders|https://amazon.com/gp/profile/amzn1.account.AE3ZIBJKBIJE3V3ALSXENXCJI6TA|YES|0|5|Lovelyproduct|Itsmoothsmy...|12/13/2022||2|JessieE.|https://amazon.com/gp/profile/amzn1.account.AETVQOAZ4NOVB23Y6ZXZEAQDQAUQ|YES|5|5|Soeasyto...|Imakecold...|10/02/2022||3|elizabethtodd|https://amazon.com/gp/profile/amzn1.account.AFGXB32V7ATUEWJJK2IOFU4MZGHQ|YES|0|5|Amazingcocoabutter|ThisCocoabutterw|11/10/2022||4|PRPro|https://amazon.com/gp/profile/amzn1.account.AEKBNIYENZ5QUXFTJZFHV2K6XG6Q|YES|8|5|Greatforscars|Thereusedto...|09/07/2022||5|MeganCooper|https://amazon.com/gp/profile/amzn1.account.AHUERNG2V5IUSQ3ZFRLPFAKGE2ZA|YES|0|5|Goodqualitybut|Thesmellisextr..|10/29/2022|Want to contribute?To get more information on contributing, go to theCONTRIBUTING.mdAlso read theCODE_OF_CONDUCT.md
Package: scrape-api
Scrapeitscrape-api is sponsored by:DescriptionPython wrapper for REST API to scrape and retrieve data from Reddit for the given keyword.InstallationDownload using pip via pypi.$pipinstallscrape-apiGetting startedImport:>>>fromscrape-apiimportScrapeCreate an object of Scrape.>>>scraper=Scrape(username='username',password='password')Search for a new keyword.>>>search_results=scraper.new_search(keyword='zoro')Retrieve results from previous searches.>>>previous_results=scraper.get_previous_results()
Package: scrape-charts
Scrape ChartsFollow the steps completed in test_scraper.py (located in the tests folder or below). The virtual environment is not necessary, pip will download all required packagesdoes not need to be activited, but the import statements probably appear slightly differently, however comments will rectify your confusion on the correct string to paste.Main feature: scrape multiple charts from one website or multiple websites, and then turn it into one large listFeatures include:Scraping a chart from a website or multiple websitesChoosing what charts you want from a website along with combining multiple websites' charts into one large chartProcessing that larger chart into a listCleaning that listCleaning the text with regex functionsNo errors in the python package, eg. works out of the boxConverting that cleaned list into a panda dictionaryConverting that cleaned list into a dictionarySaving that cleaned list as a json file, etcA very friendly to use class that does everything for youReturn statements at every stage so that if one part doesn't work, you can see the data and process it yourself (a contingency, because if you contacted me, I would fix the issue)A maintainerNo bugs or issues at the time of writing, (unit testing exists partially)Regex functions that are explained belowfromsrc.chart_scraper.ChartScraperimportScraper# Importing from pip can be done without the src# This is for educational purposes only, this code is example code, but not for usagechartScraper=Scraper("https://www.learnthat.org/pages/view/roots.html",chartNumber=[2])# At this stage. chartScraper.combinedCharts hold this one mega list, so you can manually change one or two things, however this isn't necessary, the following code below will still work as if nothing happenedchartScraper.cleanList(whichToKeep="[a-zA-Z0-9 ]+",whereToSplit="\(|,",whereToCombine="/",whereToClean=[[" -",":"],[";",","],["[^a-zA-Z ,:]+",""],[" +"," "]])chartScraper.listToDict(includePrintStatement=False)chartScraper.getDictKeys(includePrintStatement=False)# All lowercasechartScraper.findWordComponents("philology")chartScraper.createDataFrame()chartScraper.saveFiles(fileType=2)chartScraper.cleanList(whichToKeep="[a-zA-Z0-9]+",whereToSplit="\(|,",whereToCombine="/",whereToClean=[[" -",":"],[";",","],["[^a-zA-Z ,:]+",""],[" +"," "]])# whichToKeep="[a-zA-Z0-9 ]+" removes strings that don't contain either letters (a-z, A-Z) or numbers (0-9, eg. the larger number 123 works)# whereToSplit="\(|," splits the string whenever there is a parantehsis or comma, the paranthesis is backslashed because regex requires it# whereToCombine="/" combines a/b/c into ["a", "ab", "ac"], my niche case required it when I built this package# whereToClean=[[" -", ":"],[";", ","], ["[^a-zA-Z ,:]+", ""], [" +", " "]]# [" -", ":"] turns any " -" into ":"# Likewise, [";", ","] converts ";" into ","# ["[^a-zA-Z ,:]+", ""] removes characters that aren't letters (a-z, A-z), spaces (" "), commas (,), or colons (:)# [" +", " "] rectifies the issue of multiple spaces into one space, eg "            " into " "
Package: scrape-data-cleaner
Scrape Data CleanerClean scraped data fields to recieve your disired text without unicodes,spaces and other unessesary quirks.Installationpip install scrape-data-cleanerBasic Usagefromcleanerimportstring_cleaner,price_cleaner,remove_charprint(string_cleaner('Iphone 8   plus \  '))print(price_cleaner(remove_char('USD 100')))Modulesstring_cleaner:Cleans strings strings encode and re-encode them in ASCIIstring_cleaner_array :Takes an array of strings encode and re-encode them in ASCII then return an array.string_cleaner_array_wine:Takes an array of strings encode and re-encode them in ASCII then return an array however during cleaning does not force removing of spaces and tabs.price_cleaner:Performs string cleaning fromstring_cleanerthen converts the response toInteger.get_price:Extracts price from a rouge string then converts the response toInteger.i.estring="\a \t rr$12.5"outputs12remove_special_char :Removes special characters from string i.e.* - &e.t.c.remove_char:Removes all characters and leaves out only integers.remove_char_special:Removes all characters and leaves out only integers but first checks for.00and replaces that with nothing to avoid getting price with extra 00.cleanhtml:Extracts text from HTML and returns a string.cleanhtml_array:Extracts text from an array of HTML and returns an array of strings.cleanhtml_array2:Extracts text from an array of HTML and returns an array of strings however doesstring_cleanerfor each string.nbsp_replacer:Replaces unicode\u00a0with a space.ratings_extractor:Extracts ratings from style for stars. Takes style of this formatwidth:80%and converts that to a rating of 1 to 5.specs_table_gen:Takes two arrays and combine them with:return one array.space_tabs_remover:Removes spaces and tabs i.e if there is\u,\r ,\n .This is more aggressive.extract_list:Extracts text in HTML listlifrom a HTML block. Takes raw HTML and returns an array of strings.gen_link2:Receives two strings name of store and the link then creates a custom urli.egen_link2('amazon','https://amazon/product/iphone-7.html')Results:/amazon/iphone-7simple_split:Receives two strings name of store and the link then creates a custom urli.esimple_split('amazon','/iphone-7/product')Results:/amazon/iphone-7__productextract_from_ldjson:Extract a value from ld/json. i.eextract_from_ldjson(ld_json,'name')will extract the name value in the ld/json.table_shaker:Only works if your using scrapy. Takes the HTML block with the table and an array of the types of data in table. i.etable_shaker(response.css('table'),['td','td']).Note:Array can be['th','td'],['th','th']depending on the table.get_description :Extracts description from HTML and returns an array with dictionaries with keys of either text or title. Takes Raw HTML.
Package: scrapedia
Copyright (c) 2019 LucasPermission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the “Software”), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.Download-URL:https://github.com/LucasRGoes/scrapedia/archive/0.1.0.tar.gzDescription: # Scrapedia: A web scraper of Futpédia[![CircleCI](https://circleci.com/gh/LucasRGoes/scrapedia/tree/master.svg?style=svg)](https://circleci.com/gh/LucasRGoes/scrapedia/tree/master)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)__Scrapedia__ is a scraper specifically designed to extract Brazilian soccer data from [Futpédia](http://futpedia.globo.com/)’swebpage.This project was motivated by the small amount of open data sources concerning Brazilian soccer and the yearning for learning.__|__ [Documentation](./docs/en-us/usage.ipynb) __|__ [Architecture](./resources/images/architecture.png) __|__## Installation
To install via pip:` pip install scrapedia `The package can be installed from the source:` git clone git@github.com/LucasRGoes/scrapedia.git cd scrapedia git checkout master pip install . `Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3 :: Only
Description-Content-Type: text/markdown
Package: scrapedict
Write scraping rules, get dictionaries.scrapedictis a Python module designed to simplify the process of writing web scraping code. The goal is to make scrapers easy to adapt and maintain, with straightforward and readable code.FeaturesThe rules dictionary is straightforward and easy to readOnce you define the rules for one item you can extract multiple itemsYou get ✨dictionaries✨ of the data you wantInstallation$ pip install scrapedictUsageimportscrapedictassdfromurllib.requestimporturlopen# Fetch the content from the Urban Dictionary page for "larping"url="https://www.urbandictionary.com/define.php?term=larping"content=urlopen(url).read().decode()# Define the fields to be extractedfields={"word":sd.text(".word"),"meaning":sd.text(".meaning"),"example":sd.text(".example"),}# Extract the data using scrapedictitem=sd.extract(fields,content)# The result is a dictionary with the word, its meaning, and an example usage.# Here, we perform a couple of assertions to demonstrate the expected structure and content.assertisinstance(item,dict)assertitem["word"]=="Larping"The orange site exampleimportscrapedictassdfromurllib.requestimporturlopen# Fetch the content from the Hacker News homepageurl="https://news.ycombinator.com/"content=urlopen(url).read().decode()# Define the fields to extract: title and URL for each news itemfields={"title":sd.text(".titleline a"),"url":sd.attr(".titleline a","href"),}# Use scrapedict to extract all news items as a list of dictionariesitems=sd.extract_all(".athing",fields,content)# The result is a list of dictionaries, each containing the title and URL of a news item.# Here, we assert that 30 items are extracted, which is the typical number of news items on the Hacker News homepage.assertlen(items)==30DevelopmentDependencies are managed withPoetry.Testing is done withTox.