Web Scraping com Python e BeautifulSoup. GitHub Gist: instantly share code, notes, and snippets. Requests# Well known library for most of the Python developers as a fundamental tool to get raw.
![Scraping Scraping](https://atomar94.github.io/images/reddit-bot-fields.png)
- Loading Web Pages with 'request' The requests module allows you to send HTTP requests using.
- This is a step-by-step hands-on tutorial explaining how to scrape websites for information. PROTIP: If an API is not available, scrape (extract/mine) specific information by parsing HTML from websites using the Scrapy web scraping (Spider) framework. Inside a virtual environment.
scraper.py
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#! /usr/bin/env python |
importos, sys, dropbox |
frombs4importBeautifulSoup |
fromurllib.requestimporturlopen |
errorStrings= [] |
defformulateErrorStrings(tin): |
errorStrings.append('Dealer Not Found for the entered TIN '+tin) |
errorStrings.append('Sorry, State corresponding to TIN not activated in TINXSYS') |
defget_TIN_value(): |
tinValue=input('Enter TIN value: ') |
returntinValue |
defform_TIN_url(val): |
url= ('http://www.tinxsys.com/TinxsysInternetWeb/dealerControllerServlet?'+ |
'tinNumber='+val+'&searchBy=TIN&backPage=searchByTin_Inter.jsp') |
returnurl |
defcheckValidUrl(url): |
valid=True |
page=urlopen(url) |
soup=BeautifulSoup(page.read()) |
forstringinsoup.stripped_strings: |
try: |
iferrorStrings.index(string): |
valid=False |
exceptValueError: |
continue |
returnvalid |
defauthenticateToDropbox(): |
app_key=os.getenv('DROPBOX_KEY') |
app_secret=os.getenv('DROPBOX_SECRET') |
flow=dropbox.client.DropboxOAuth2FlowNoRedirect(app_key, app_secret) |
authUrl=flow.start() |
print('Authorize the application from : '+authUrl) |
authCode=input('Enter authorization code: ').strip() |
accessToken, userId=flow.finish(authCode) |
client=dropbox.client.DropboxClient(accessToken) |
print('Linked account: ', client.account_info()) |
defuploadToDropbox(): |
authenticateToDropbox() |
f=open('scrape.txt', 'rb') |
tStamp=os.path.getmtime('scrape.txt') |
response=client.put_file(str(tStamp) +'/scrape.txt', f) |
print('Uploaded: ', response) |
defmain(): |
tin=get_TIN_value() |
formulateErrorStrings(tin) |
ifcheckValidUrl(form_TIN_url(tin)): |
uploadToDropbox() |
else: |
print(tin+' not found') |
sys.exit() |
if__name__'__main__' : main() |
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imdb.py
Web Scraper Github
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Web Scraping Python Beautifulsoup Github
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']) |
Web Scraping In Python Github
commented Jan 5, 2018
Web Scraping Github Python Tutorial
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