Saravanan666/pypi-org huggingface dataset:
Package: scraper-helper
Helper functions for web scrapingFree software: GNU GENERAL PUBLIC LICENSEInstallationpip install scraper-helperYou can also install the in-development version with:pip install https://github.com/eupendra/scraper-helper/archive/master.zipDocumentationhttps://scraper-helper.readthedocs.io/DevelopmentTo run all the tests run:toxNote, to combine the coverage data from all the tox environments run:Windowsset PYTEST_ADDOPTS=--cov-append
toxOtherPYTEST_ADDOPTS=--cov-append toxChangelog0.0.8 (2021-04-19)added new function run_spider to run spider quicklySkipped 0.0.70.0.6 (2021-02-20)added new function headers which returns usual browser headers0.0.5 (2021-01-21)bug fixes0.0.4 (2021-01-21)Minor Enhancements and bug fixes0.0.2 (2021-01-15)First release on PyPI.
Package: scraperlib
Описание библиотекиПример входной структуры данныхdocument={'/sveden':{'uchredLaw':['nameUchred','fullnameUchred','addressUchred','telUchred','mailUchred','websiteUchred'],'repInfo':['nameRep','adressPlace','workTimeRep','emailRep'],'regDate':None,'address':None,'workTime':None,'telephone':None,'fax':None,'email':None},'/sveden/education':{'eduOp':{'eduCode':None,'eduName':None,'eduLevel':None,'eduForm':None,'opMain':None,'educationPlan':None,'educationShedule':None,'educationAnnotation':None}},'/sveden/employees':{'teachingStaff':{'fio':None,'post':None,'teachingQual':None,'degree':None,'academStat':None,'employeeQualification':None,'teachingLevel':None,'teachingDiscipline':None,'profDevelopment':None,'genExperience':None,'specExperience':None}}}
Package: scraper-Rafihatu
eBay Web ScraperDescriptionThis is a web scraper that extracts info about listings from popular e-commerce site, eBay.
Collects info about the category the listing belongs to, title of listing, link to the listing, link to the listing's image and price of each listing.TechnologiesPython 3.9: Base programming language for development. The latest version of python.Docker Engine and Docker Compose: Containerization of the application and services orchestrationPostgres Database: Database where scraped listings are stored.Getting StartedUsing this scraper is very simple, all you need is to have Git and Docker Engine installed on your machine.
If you do not wish to use docker, simply create your own virtual environment and runpip install -r requirements.txtfrom the root directory to
install the requirements stated in therequirements.txtfile
Don't forget to add your postgres database connection variables in the.envfile in the root folder.
Example of what the.envfile should look likeDB_PORT = XXXX
DB_HOST = your_database_host
DB_USER = your_username
DB_NAME = the_name_of_your_database_here
DB_PASSWORD = your_password_hereThe scraper can be found in src/scraper
eBay contains 3 methods which arescrape(),add_category_to_database(),add_listing_to_database().
The methods are self-explanatory.
scrape takes in the category/keyword, and the number/quantity of listings to be scraped whileadd_category_to_database()andadd_listing_to_database()adds categories and listings to their
respective databases.Example:from src.scraper import eBay
    ebay = eBay()
    ebay.scrape(keyword="book", quantity=200)
    ebay.add_category_to_database()
    ebay.add_listings_to_database()TestingThis project has pytest embedded in it and can be run with the following commandpython -m pytest tests/from the root directory.
Note: This should be run after after all necessary database connection variables have been declared in the.env fileLicenseThe MIT License - Copyright (c) 2021 - Rafihatu Bello
Package: scrape-search-engine
Scrape Search Engine :Search anything on the different Search Engine's it will collect all the links.Package Installation  :pip install scrape-search-engineHow to import the module:userAgent=('')#search on google "my user agent"search=('')#Enter Anything for SearchGoogle Search Engine :fromScrapeSearchEngine.ScrapeSearchEngineimportGooglegoogle=Google(search,userAgent)print(google)Duckduckgo Search Engine :fromScrapeSearchEngine.ScrapeSearchEngineimportDuckduckgoduckduckgo=Duckduckgo(search,userAgent)print(duckduckgo)Givewater Search Engine :fromScrapeSearchEngine.ScrapeSearchEngineimportGivewatergivewater=Givewater(search,userAgent)print(givewater)Ecosia Search Engine :fromScrapeSearchEngine.ScrapeSearchEngineimportEcosiaecosia=Ecosia(search,userAgent)print(ecosia)Bing Search Engine :fromScrapeSearchEngine.ScrapeSearchEngineimportBingbing=Bing(search,userAgent)print(bing)Yahoo Search Engine :fromScrapeSearchEngine.ScrapeSearchEngineimportYahooyahoo=Yahoo(search,userAgent)print(yahoo)Scrape Search Engine With Text and Link :Search anything on the different Search Engine's it will collect all the links with corresponding text.Google Search Engine :fromScrapeSearchEngine.SearchEngineimportGooglegoogleText,googleLink=Google(search,userAgent)print(googleText)print(googleLink)Duckduckgo Search Engine :fromScrapeSearchEngine.SearchEngineimportDuckduckgoduckduckgoText,duckduckgoLink=Duckduckgo(search,userAgent)print(duckduckgoText)print(duckduckgoLink)Givewater Search Engine :fromScrapeSearchEngine.SearchEngineimportGivewatergivewaterText,givewaterLink=Givewater(search,userAgent)print(givewaterText)print(givewaterLink)Ecosia Search Engine :fromScrapeSearchEngine.SearchEngineimportEcosiaecosiaText,ecosiaLink=Ecosia(search,userAgent)print(ecosiaText)print(ecosiaLink)Bing Search Engine :fromScrapeSearchEngine.SearchEngineimportBingbingText,bingLink=Bing(search,userAgent)print(bingText)print(bingLink)Yahoo Search Engine :fromScrapeSearchEngine.SearchEngineimportYahooyahooText,yahooLink=Yahoo(search,userAgent)print(yahooText)print(yahooLink)Required package’s:• pip install requests

• pip install bs4License:MIT LicensedAuthor:Sujit MandalGitHubPyPiLinkedIn
Package: scrapesy
scrapesyEasy and Pythonic way to get and parse a Web pageUsageTo get aPageobject, usescrapesy.get(url). ThePageobject has two
properties,pageandrequest.pageis aBeautifulSoupobject.requestis a RequestsResponseobject.However, if you just want this for the cache (see below), and do not need or
want Beautiful Soup to parse the pages, passparse=Falseto get(). This will
simply return a Requests request object, not aPageobject. Disabling
parsing and caching is possible, but rather useless, because parsing and
caching are the main features of Scrapesy. If you find yourself always
disabling both, just use Requests directly.CachingBy default, Scrapesy implements a cache, allowing for near-instantaneous
results on pages that have been requested previously. This cache operates
automatically, and it operates transparently to any code that does not
specifically interact with it. It is possible to use Scrapesy without any
understanding of the cache.However, it is possible to disable the cache. Simply runscrapesy.caching = False. To re-enable it, usescrapesy.caching = True. If you simply need to
ignore the cache for a single call, simply adduse_cache=Falseto yourscrapesy.get()call.To empty the cache, callscrapesy.empty_cache().To remove a single page from the cache, callscrapesy.uncache(url).To enable selective caching, setscrapesy.cache_checkto a function that
takesurlas an input and returnsTrueif the page should be cached andFalseotherwise.Rundemo.pyfor a demonstration of the impact of the cache.RequirementsBeautiful Soup 4RequestsPython 3 (it may work on 2.7, but is not tested)NoteThis project was originally called PyScrape. If you find that name used
anywhere in this repo, please report it as an issue!
Package: scrapeTiger
scrapeTigerscrapeTiger is an python package for web scraping.requires-python = ">=3.7"example of scraping multiple pagefrom scrapeTiger import multi_page,details_page

multi_page(url="https://quotes.toscrape.com/page/",start_page=1,end_page=3,css_selector= ".quote span a")

details_page(field_one_css='.author-title')Let explain how this two function working. First we are scraping link of each items from page 1 to page 2 with the help of multi_page function then we are scraping author name from datils page of each item with the help of details_page function.example of scraping single pagefrom scrapeTiger import single_page,details_page

single_page(url="https://quotes.toscrape.com/",css_selector= ".quote span a")

details_page(field_one_css='.author-title')How to installpip install scrapeTigerdependency packagesinstall selenium and webdriver-manager for run this package properly.pip install seleniumpip install webdriver-managerOutput ResultIt will generate csv file after scraping.multi_pagemulti_page(url,start_page,end_page,css_selector,wait_second=2)url (string, required)start_page(integer, required)end_page(integer, required)css_selector(string, required)wait_second(integer, optional)defult 2 secondsingle_pagesingle_page(url,css_selector,wait_second=2)url (string, required)css_selector(string, required)wait_second(integer, optional)details_pagedetails_page(wait_second=2,field_one_css=None,field_one_html=False,main_image_css=None,img_attribute='src',gallary_image_css=None,gallary_image_attribute='src',header_added=False)wait_second(integer, optional)defult 2 secondfield_one_css(string, optional)field_one_html(boolean, optional)defult flase. If you want to get html then make it true otherwise you will get text value.You can aslo use field_two_css,field_three_css,field_four_css same like field_one_css.You can aslo use field_two_html, field_three_html,field_four_html same like field_one_html.maximum four fieldsmain_image_css(string, optional)img_attribute(string, optional)defult img_attribute issrcfor main_image_css.gallary_image_css(string, optional)gallary_image_attribute(string, optional)defult img_attribute issrcfor gallary_image_css.header_added(boolean, optional)defult flase. If you don't want to write csv header then make to true.details_page() function support maximum four fields.
example:details_page(field_one_css=None,field_one_html=False,field_two_css=None,field_two_html=False,field_three_css=None,field_three_html=False,field_four_css=None,field_four_html=False,)Github linkreport issue
Package: scrapetools
ScrapetoolsA collection of tools to aid in web scraping.Install using:pip install scrapetoolsScrapetools contains three functions (scrape_emails, scrape_phone_numbers, scrape_inputs)
and one class (LinkScraper).Basic usageimport scrapetools
import requests

url = 'https://somewebsite.com'
source = requests.get(url).text

emails = scrapetools.scrape_emails(source)

phoneNumbers = scrapetools.scrape_phone_numbers(source)

scraper = scrapetools.LinkScraper(source, url)
scraper.scrape_page()
# links can be accessed and filtered via the get_links() function
same_site_links = scraper.get_links(same_site_only=True)
same_site_image_links = scraper.get_links(link_type='img', same_site_only=True)
external_image_links = scraper.get_links(link_type='img', excluded_links=same_site_image_links)

# scrape_inputs() returns a tuple of BeautifulSoup Tag elements for various user input elements
forms, inputs, buttons, selects, text_areas = scrapetools.scrape_inputs(source)
Package: scrapetube
ScrapetubeThis module will help you scrape youtube without the official youtube api and without selenium.With this module you can:Get all videos from a Youtube channel.Get all videos from a playlist.Search youtube.Installationpip3installscrapetubeUsageHere's a few short code examples.Get all videos for a channelimportscrapetubevideos=scrapetube.get_channel("UCCezIgC97PvUuR4_gbFUs5g")forvideoinvideos:print(video['videoId'])Get all videos for a playlistimportscrapetubevideos=scrapetube.get_playlist("PL-osiE80TeTt2d9bfVyTiXJA-UTHn6WwU")forvideoinvideos:print(video['videoId'])Make a searchimportscrapetubevideos=scrapetube.get_search("python")forvideoinvideos:print(video['videoId'])Full Documentationhttps://scrapetube.readthedocs.io/en/latest/
Package: scrapewiki
Scrapewiki - Wikipedia ScraperIt can scrapeWikipediasynchronously and asynchronously.scrapewiki.Scrapewikihas two methods,searchandwiki.wikiIt is used to scrape a Wikipedia page.searchIt is used to search some query on Wikipedia.limitparameter can be optionally specified to set a limit to the amount of results.ExamplesAsynchronous:importscrapewikiimporttriowiki=scrapewiki.Scrapewiki()asyncdefmain():asyncwithwiki.search("python")asresults:asyncforsearch_resultinresults:...# equivalent ofsearcher=wiki.search("python")results=awaitsearcher.async_method()trio.run(main)importscrapewikiimporttriowiki=scrapewiki.Scrapewiki()asyncdefmain():asyncwithwiki.wiki("python",limit=45)aspage:...# equivalent ofpage_scraper=wiki.wiki("python")page=awaitpage_scraper.async_method()trio.run(main)Synchronous:importscrapewikiwiki=scrapewiki.Scrapewiki()withwiki.search("python",limit=45)asresults:forsearch_resultinresults:...# equivalent ofsearcher=wiki.search("python")results=searcher.sync_method()importscrapewikiwiki=scrapewiki.Scrapewiki()withwiki.wiki("python")aspage:...# equivalent ofpage_scraper=wiki.wiki("python")page=page_scraper.sync_method()ExtrasThe module also provides some utility functions for ease of use (currently just one):scrapewiki.util.convert_bytes_toPlansThere are a lot of things that needs to be parsed.
There are a lot of bugs that needs to be fixed.
I'm pretty sure there are some typos in docstrings and wrong annotations as well.
My plan for now is to fix the aforesaid problems.NoteThis library is English only due to how some things have been parsed. I'm sure there are better ways to do them and make it support all languages. This is in my TODO list.DocumentationI don't have any plans for online documentation as of now. Please read the source code. All the dataclasses can be foundhere.
Package: scrapezone-python-sdk
Getting Data Was Never EasierForget about proxies, servers, and IP addresses. Just get the data you need.Google and eCommerce HTML Scraper
Send a request with up to 1,000 URLs and receive the raw, unblocked HTML files.Quick StartCreate a new account at:https://app.scrapezone.comCopy your scrape username and password.Start getting the data you need.Example request:from scrapezone_client import ScrapezoneClient
from decouple import config

username = config('SCRAPEZONE_USERNAME')
password = config('SCRAPEZONE_PASSWORD')

scrapezoneClient = ScrapezoneClient(username, password)

results = scrapezoneClient.scrape(
    {'scraper_name': 'amazon_product_display', 'query': [
        'https://amazon.com/dp/B01LSUQSB0',
        'https://amazon.com/dp/B084K5HNCB'
    ]})

print(results)Full documentation can be foundHere.
Package: scrapfly-sdk
Scrapfly SDKInstallationpip install scrapfly-sdkYou can also install extra dependenciespip install "scrapfly-sdk[seepdup]"for performance improvementpip install "scrapfly-sdk[concurrency]"for concurrency out of the box (asyncio / thread)pip install "scrapfly-sdk[scrapy]"for scrapy integrationpip install "scrapfly-sdk[all]"Everything!For use of built-in HTML parser (viaScrapeApiResponse.selectorproperty) additional requirement of eitherparselorscrapyis required.For reference of usage or examples, please checkout the folder/examplesin this repository.Get Your API KeyYou can create a free account onScrapflyto get your API Key.UsagePython APIOpen API 3 SpecScrapy IntegrationMigrationMigrate from 0.7.x to 0.8asyncio-pool dependency has been droppedscrapfly.concurrent_scrapeis now an async generator. If the concurrency isNoneor not defined, the max concurrency allowed by
your current subscription is used.asyncforresultinscrapfly.concurrent_scrape(concurrency=10,scrape_configs=[ScrapConfig(...),...]):print(result)brotli args is deprecated and will be removed in the next minor. There is not benefit in most of case
versus gzip regarding and size and use more CPU.What's new0.8.xBetter error logAsync/Improvement for concurrent scrape with asyncioScrapy media pipeline are now supported out of the box
Package: scrapgpt
ScrapGPTScrapGPT is a simple yet powerful library that allows developers to easily interact with the ChatGPT by scraping the website. It provides a convenient interface to send messages to the website and receive responses, making it easy to integrate ChatGPT into your own applications.InstallationYou can install ScrapGPT using pip, the Python package manager. Open your command-line interface and execute the following command:pipinstallscrapgptGetting StartedTo get started, use the following simple 3 line code.fromscrapgptimportScrapGPT# Open AI Login CredentialsEMAIL="..."PASSWORD="..."chatgpt=ScrapGPT(EMAIL,PASSWORD)response=chatgpt.ask("How are you?")print(response)# As an AI language model, I don't have# feelings or emotions, but I'm here to# help you with any questions or information# you need. How can I assist you today?
Package: scrap-imdb
scrapimdbScrap Imdb website to retrieve detail informations from movies or tvshowsInstallpipinstallscrap-imdbUsagesfromscrapimdbimportImdbSpiderim=ImdbSpider('terminator')im.get_rating()im.get_original_title()im.get_year()CreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.1.6 (2022-12-02)Use cloudscrapper to by pass cloudfare0.1.5 (2022-10-18)Fix imdb search results0.1.4 (2022-03-28)Fix new website of imdb (dom changing)0.1.2 (2021-06-11)Adapt scrapimdb for the new site imdb and remove python 2 support0.1.1 (2019-09-01)Fix rating css selectorAdapt for new site imdb0.1.0 (2018-04-06)Add Imdb spider with scrapping: rate, title, url and date
Package: scrapingapi
ScrapingApi Python ClientThis is a placeholder for a future python ScrapingApiweb scraping APIclient.
Get in touch with us atcontact@scrapingapi.netif you need this client.InstallationSignup atscrapingapi.netto get your API key.pip install scrapingapiExample# Python client not available yet.ParametersCheck theScrapingApi documentationfor more details.
Package: scrapingfish
Unix/macOS:exportTWINE_PASSWORD=pypi-Rh34nfT...Unix/macOS:[-d"./dist/"]&&find./dist/-mindepth1-delete;python-mbuildWindows:py-mbuildUnix/macOS:python3-mtwineupload--username__token__--repositorytestpypidist/*Windows:py-mtwineupload--username__token__--repositorytestpypidist/*
Package: scrapinghub
Thescrapinghubis a Python library for communicating with theScrapinghub API.RequirementsPython 2.7 or Python 3.5+InstallationThe quick way:pip install scrapinghubYou can also install the library with MessagePack support, it provides better
response time and improved bandwidth usage:pip install scrapinghub[msgpack]DocumentationDocumentation isavailable onlinevia Read the Docs or in thedocsdirectory.
Package: scrapinghub-entrypoint-scrapy
# scrapinghub-entrypoint-scrapy[![version](https://img.shields.io/pypi/v/scrapinghub-entrypoint-scrapy.svg)](https://pypi.python.org/pypi/scrapinghub-entrypoint-scrapy)
[![pyversions](https://img.shields.io/pypi/pyversions/scrapinghub-entrypoint-scrapy.svg)](https://pypi.python.org/pypi/scrapinghub-entrypoint-scrapy)
[![actions](https://github.com/scrapinghub/scrapinghub-entrypoint-scrapy/workflows/Tests/badge.svg)](https://github.com/scrapinghub/scrapinghub-entrypoint-scrapy/actions)
[![codecov](https://codecov.io/gh/scrapinghub/scrapinghub-entrypoint-scrapy/branch/master/graph/badge.svg)](https://codecov.io/gh/scrapinghub/scrapinghub-entrypoint-scrapy)Scrapy entrypoint for Scrapinghub job runner.The package implements a base wrapper layer to extract job data from
environment, parse/prepare it properly and execute job using Scrapy
or custom executor.## Featuresparsing job data from environmentprocessing job args and settingsrunning a job with Scrapycollecting statsadvanced logging & error handlingfull hubstorage supportcustom scripts support## Installpip install scrapinghub-entrypoint-scrapy
Package: scrapinglib
scrapinglib使用:fromscrapinglibimportsearch# 搜刮`TMDB`编号`14534`的电影信息data=search('14534','tmdb',type='general')# 使用代理proxydict={"http":"socks5h://127.0.0.1:1080","https":"socks5h://127.0.0.1:1080"}data=search('14534','tmdb',type='general',proxies=proxydict)
Package: scraping-link
scraping-linkA Python module for Web Scraping withScraping.link, you will be able to scrape any website and solves typical blocking complications.How to InstallTo install using pip run:pip install scraping-linkHow to use this moduleThis module can be used to web scraping - Extract HTML content.See following example:import scraping_linkCustomer SupportSimply reach out to us viaTelegram Groupor or write us anemail.Sign up for our free planto get a free API key loaded with 100 free credits. No credit card required!LicenceThis software is licensed under the GNU General Public License (version 3) as published by the Free Software Foundation this licencehttp://www.gnu.org/licenses/. If you would want a different licence please contact me, on twitter@nicolasmarin.
Package: scraping-toolbox
This is ment to be a helper repo for diferent scraping projectsQuickstartscraping-toolbox is available on PyPI and can be installed withpip.$pipinstallscraping_toolboxAfter installing scraping-toolbox you can use it like any other Python module.Here is a simple example:importscraping_toolbox# Fill this section in with the common use-case.TheAPI Referenceprovides API-level documentation.Change LogVersion History0.0.1Project created.
Package: scrapinsta
ScrapInstaA script to scraping data from InstagramInstallFirst of all you can run:pip install scrapinstaAfter that you need to install these requirements:You can install one-by-one:seleniumpip install seleniumwebdriver_managerpip install webdriver_managercryptographypip install cryptographyOr install by requirements.txtpip install -r requirements.txtScraping user followersUsagefrom scrapinsta importScrapinstaand instantiateCall function Scrapinsta.get_user_follower(account, amount, method, print_followers)account: Account which want to get user followersamount: Number of followers to scrapingmethod: By default is 'list'(returns a list), but can be 'txt' this will write a .txt with user followersprint_followers: By default is 'false'(don't print followers), but can be 'true' this will print followersExample code:from scrapinsta import Scrapinstaaccount = 'nasa' # Account to get info
    amount = 50# Instantiate Scrapinsta
    s = Scrapinsta()# Testing: method = 'list'
    list_followers = s.get_user_followers(account, amount, method='list', print_followers='true')# Testing: method = 'txt'
    s.get_user_followers(account, amount, method='txt', print_followers='true')Scraping user following accountUsagefrom scrapinsta importScrapinstaand instantiateCall function Scrapinsta.get_user_followings(account, amount, method, print_following)account: Account which wants to get followed usersamount: Number of followed users to scrapingmethod: By default is 'list'(returns a list), but can be 'txt' this will write a .txt with followed usersprint_following: By default is 'false'(don't print followed users), but can be 'true', this will print followed usersExample code:from scrapinsta import Scrapinstaaccount = 'nasa' # Account to get info
    amount = 50# Instantiate Scrapinsta
    s = Scrapinsta()# Testing: method = 'list'
    list_following = s.get_user_followings(account, amount, method='list', print_following='true')
    # Testing: method = 'txt'
    s.get_user_followings(account, amount, method='txt', print_following='true')Contact:LinkedInTwitterInstagramE-mail