Created
February 5, 2018 07:20
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Python 3 code to extract business details from Yelp.com
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from lxml import html | |
import csv | |
import requests | |
#from exceptions import ValueError | |
from time import sleep | |
import re | |
import argparse | |
def parse(url): | |
headers = {'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.90 Safari/537.36'} | |
response = requests.get(url, headers=headers, verify=False).text | |
parser = html.fromstring(response) | |
print ("Parsing the page") | |
listing = parser.xpath("//li[@class='regular-search-result']") | |
total_results = parser.xpath("//span[@class='pagination-results-window']//text()") | |
scraped_datas=[] | |
for results in listing: | |
raw_position = results.xpath(".//span[@class='indexed-biz-name']/text()") | |
raw_name = results.xpath(".//span[@class='indexed-biz-name']/a//text()") | |
raw_ratings = results.xpath(".//div[contains(@class,'rating-large')]//@title") | |
raw_review_count = results.xpath(".//span[contains(@class,'review-count')]//text()") | |
raw_price_range = results.xpath(".//span[contains(@class,'price-range')]//text()") | |
category_list = results.xpath(".//span[contains(@class,'category-str-list')]//a//text()") | |
raw_address = results.xpath(".//address//text()") | |
is_reservation_available = results.xpath(".//span[contains(@class,'reservation')]") | |
is_accept_pickup = results.xpath(".//span[contains(@class,'order')]") | |
url = "https://www.yelp.com"+results.xpath(".//span[@class='indexed-biz-name']/a/@href")[0] | |
name = ''.join(raw_name).strip() | |
position = ''.join(raw_position).replace('.','') | |
cleaned_reviews = ''.join(raw_review_count).strip() | |
reviews = re.sub("\D+","",cleaned_reviews) | |
categories = ','.join(category_list) | |
cleaned_ratings = ''.join(raw_ratings).strip() | |
if raw_ratings: | |
ratings = re.findall("\d+[.,]?\d+",cleaned_ratings)[0] | |
else: | |
ratings = 0 | |
price_range = len(''.join(raw_price_range)) if raw_price_range else 0 | |
address = ' '.join(' '.join(raw_address).split()) | |
reservation_available = True if is_reservation_available else False | |
accept_pickup = True if is_accept_pickup else False | |
data={ | |
'business_name':name, | |
'rank':position, | |
'review_count':reviews, | |
'categories':categories, | |
'rating':ratings, | |
'address':address, | |
'reservation_available':reservation_available, | |
'accept_pickup':accept_pickup, | |
'price_range':price_range, | |
'url':url | |
} | |
scraped_datas.append(data) | |
return scraped_datas | |
if __name__=="__main__": | |
argparser = argparse.ArgumentParser() | |
argparser.add_argument('place',help = 'Location/ Address/ zip code') | |
search_query_help = """Available search queries are:\n | |
Restaurants,\n | |
Breakfast & Brunch,\n | |
Coffee & Tea,\n | |
Delivery, | |
Reservations""" | |
argparser.add_argument('search_query',help = search_query_help) | |
args = argparser.parse_args() | |
place = args.place | |
search_query = args.search_query | |
yelp_url = "https://www.yelp.com/search?find_desc=%s&find_loc=%s"%(search_query,place) | |
print ("Retrieving :",yelp_url) | |
scraped_data = parse(yelp_url) | |
print ("Writing data to output file") | |
with open("scraped_yelp_results_for_%s.csv"%(place),"w") as fp: | |
fieldnames= ['business_name','rank','review_count','categories','rating','address','reservation_available','accept_pickup','price_range','url'] | |
writer = csv.DictWriter(fp,fieldnames=fieldnames) | |
writer.writeheader() | |
for data in scraped_data: | |
writer.writerow(data) |
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