Web Scrapping Github

Posted : admin | On 30-04-2021

imdb.py

Web Scraping Projects. Here you can see all the web scraper projects created by Patricio Requena. Each folder is a project. Inside the folders you'll find the different projects that I've create with the respective files like scripts, images, spreadsheet.
Advanced web scraping tools. Scrapy is a Python framework for large scale web scraping. It gives you all the tools you need to efficiently extract data from websites, process them as you want, and store them in your preferred structure and format. ARGUS is an easy-to-use web mining tool that's built on Scrapy.
Mar 11, 2021 video / r-bloggers / automation / web scraping In this R tutorial, We’ll learn how to schedule an R script as a CRON Job using Github Actions. Thanks to Github Actions, You don’t need a dedicated server for this kind of automation and scheduled tasks.

frombs4importBeautifulSoup

importrequests

importre

# Download IMDB's Top 250 data

url='http://www.imdb.com/chart/top'

response=requests.get(url)

soup=BeautifulSoup(response.text, 'lxml')

movies=soup.select('td.titleColumn')

links= [a.attrs.get('href') forainsoup.select('td.titleColumn a')]

crew= [a.attrs.get('title') forainsoup.select('td.titleColumn a')]

ratings= [b.attrs.get('data-value') forbinsoup.select('td.posterColumn span[name=ir]')]

votes= [b.attrs.get('data-value') forbinsoup.select('td.ratingColumn strong')]

imdb= []

# Store each item into dictionary (data), then put those into a list (imdb)

forindexinrange(0, len(movies)):

# Seperate movie into: 'place', 'title', 'year'

movie_string=movies[index].get_text()

movie= (' '.join(movie_string.split()).replace('.', '))

movie_title=movie[len(str(index))+1:-7]

year=re.search('((.*?))', movie_string).group(1)

place=movie[:len(str(index))-(len(movie))]

data= {'movie_title': movie_title,

'year': year,

'place': place,

'star_cast': crew[index],

'rating': ratings[index],

'vote': votes[index],

'link': links[index]}

imdb.append(data)

foriteminimdb:

print(item['place'], '-', item['movie_title'], '('+item['year']+') -', 'Starring:', item['star_cast'])

Welcome to my page! Hi, my name is Keith and I am a YouTuber who focuses on content related to programming, data science, and machine learning! GitHub Gist: instantly share code, notes, and snippets. Ritesh2741 / web scraping best buy. Last active Mar 28, 2016. Star 0 Fork 0; Star Code Revisions 2.

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Web Scrapping Github

Github Web Application

commented Jan 5, 2018

Web Scraping Open Source