Created
September 22, 2016 21:37
Star
You must be signed in to star a gist
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
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 = [] | |
reviews = [] | |
price = [] | |
address = [] | |
links = soup.find_all("h3",{"class":"search-result-title"}) | |
for link in links: | |
text = '' | |
for string in link.strings: | |
if string.strip(): | |
text = text + string.strip() | |
names.append(text) | |
# names.append(link.text) | |
# print(link.text) | |
links1 = soup.find_all("span",{"class":"review-count"}) # rating-qualifier | |
for link in links1: | |
reviews.append(link.text) | |
print(link.text) | |
links2 = soup.find_all("span",{"class":"business-attribute price-range"}) | |
for link in links2: | |
price.append(link.text) | |
print(link.text) | |
links3 = soup.find_all("address") | |
for link in links3: | |
address.append(link.text) | |
print(link.text) | |
i = 0 | |
while (i < 20): | |
try: | |
i += 1 | |
ttag = soup.find_all('a', {'class':'u-decoration-none next pagination-links_anchor'}) | |
next_url = 'https://www.yelp.com/'+ttag[0].get('href') | |
#soup = BeautifulSoup(requests.get(next_url)) | |
q = requests.get(next_url) | |
soup = BeautifulSoup(q.content) | |
links = soup.find_all("h3",{"class":"search-result-title"}) | |
for link in links: | |
names.append(link.text) | |
print(link.text) | |
links1 = soup.find_all("span",{"class":"review-count rating-qualifier"}) | |
for link in links1: | |
reviews.append(link.text) | |
print(link.text) | |
links2 = soup.find_all("span",{"class":"business-attribute price-range"}) | |
for link in links2: | |
price.append(link.text) | |
print(link.text) | |
links3 = soup.find_all("address") | |
for link in links3: | |
address.append(link.text) | |
print(link.text) | |
except: | |
break | |
#raise | |
review = map(lambda x: x.strip().encode('ascii'), reviews) | |
price = map(lambda x: x.strip().encode('ascii'), price) | |
address = map(lambda x: x.strip().encode('ascii'), address) | |
name = map(lambda x: x.strip().encode('ascii', errors="ignore"), names) | |
df_l = pd.DataFrame(review) | |
df_a = pd.DataFrame(price) | |
df = pd.concat([df_l, df_a], axis=1) | |
df_b = pd.DataFrame(address) | |
df1 = pd.concat([df, df_b], axis=1) | |
df_n = pd.DataFrame(names) | |
data = pd.concat([df1, df_n], axis=1) | |
df1.to_csv('C:/Users/venkatesh/Documents/s.csv', sep='\t', encoding='utf-8') | |
#s = df.to_csv(data, sep='\t') | |
#s = df.to_csv(data, sep='\t', encoding='utf-8') | |
import codecs | |
writer = codecs.open("ss.csv","w", encoding = "utf-8") | |
for x in range(0, 230): | |
writer.write(review[x]) | |
writer.write(",") | |
writer.write(price[x]) | |
writer.write(",") | |
writer.write(address[x]) | |
writer.write("\n") | |
writer.close() | |
log = open("hotel_name.txt", "w") | |
for n in name: | |
print(n, file = log) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment