Skip to content

Instantly share code, notes, and snippets.

from __future__ import print_function
import requests
import pandas as pd
from bs4 import BeautifulSoup
url = "https://www.yelp.com/search?find_desc=Restaurants&find_near=times-square-new-york-2"
r = requests.get(url)
soup = BeautifulSoup(r.content)
#print(soup.prettify())
names = []
# -*- coding: utf-8 -*-
"""
Created on Fri Aug 12 16:04:55 2016
@author: venkatesh
"""
import requests
import pandas as pd
from bs4 import BeautifulSoup
import csv
import numpy as np
from nltk.sentiment.vader import SentimentIntensityAnalyzer
from nltk import tokenize
name = []
review = []
sid = SentimentIntensityAnalyzer()
# -*- coding: utf-8 -*-
"""
Created on Sat Sep 10 17:21:02 2016
@author: venkatesh
"""
import requests
import os
# -*- coding: utf-8 -*-
"""
Created on Sat Sep 10 17:17:21 2016
@author: venkatesh
"""
import requests
from bs4 import BeautifulSoup