Spaces:
Runtime error
Runtime error
File size: 13,736 Bytes
0277ad1 b8f895a 369e8bf 0277ad1 369e8bf 0277ad1 369e8bf 0277ad1 369e8bf b8f895a 369e8bf 0277ad1 369e8bf 0277ad1 369e8bf 0277ad1 369e8bf 0277ad1 369e8bf 0277ad1 369e8bf 0277ad1 bb8054e 0277ad1 369e8bf bb8054e 369e8bf 0277ad1 ea89083 0277ad1 369e8bf 0277ad1 369e8bf 0277ad1 369e8bf 0277ad1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 |
import requests
from bs4 import BeautifulSoup
import re
import csv
import json
import time
from undetected_chromedriver import Chrome, ChromeOptions
import psycopg2
import datetime
from httpx_socks import SyncProxyTransport
import httpx
class WallmartScraper:
def __init__(self):
self.ac = "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9"
self.headers = {
'Host': 'www.walmart.ca',
'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:77.0) Gecko/20100101 Firefox/77.0',
'Accept': '*/*',
'Accept-Language': 'en-US,en;q=0.5',
'Accept-Encoding': 'gzip, deflate, br',
'Content-Type': 'application/json',
'Connection': 'keep-alive'
}
self.cookies = {
'walmart.shippingPostalCode':'P7B3Z7',
'defaultNearestStoreId':'3124',
'zone':"9",
'deliveryCatchment':"3124",
'walmart.csrf':'73996cac34766ec995777784',
'wmt.c':"0",
'vtc':'ZAUFmHNTbFPrWyLrN8WTXA',
'userSegment':'50-percent',
'TBV':"7",
'rxVisitor':'1590552903550G5KJVCBIUCN3R32E3OSSVIKN9FTMDI5M',
'dtSa':'-',
'_ga':'GA1.2.1363574403.1590552905',
'_gid':'GA1.2.85728116.1590552905',
'walmart.id':'24be2423-225b-44d0-851c-9f83c8e47dff',
'usrState':"1",
'walmart.nearestPostalCode':'P7B3Z7',
's_ecid':'MCMID%7C17236695788713957075642593017320325404',
'walmart.locale':'en',
'AMCVS_C4C6370453309C960A490D44%40AdobeOrg':"1",
's_visit':"1",
's_cc':'true',
'og_session_id':'af0a84f8847311e3b233bc764e1107f2.616221.1590552906',
'og_session_id_conf':'af0a84f8847311e3b233bc764e1107f2.616221.1590552906',
'_gcl_au':'1.1.482108716.1590552907',
'_fbp':'fb.1.1590552907225.702607671',
'og_autoship':"0",
'dtCookie':'3$1GS1LRIIKIBM595EBN2HIHIPCU4QVQ3H|5b6d58542e634882|0',
'walmart.nearestLatLng':"48.4120872,-89.2413988",
'dtLatC':"3",
'rxVisitor':'1590552903550G5KJVCBIUCN3R32E3OSSVIKN9FTMDI5M',
'dtSa':'-',
'DYN_USER_ID':'23c3e447-cab5-4a76-beec-86d431f09b30',
'WM_SEC.AUTH_TOKEN':'MTAyOTYyMDE46M9ya4OWOAX9Ycj9G+/EtZZ2rrXYDwJUPMuf8aNPxGq6es3kBtQx/WxiXKAkaKfkoKbMqixeQFrYdB1W0oSN1wIIzkNIxIEmVq7cOUtRuTRSgSwdxAsAWBT8plmFWLKwj8OFN4dileb20bpDLeCIlSFd/Hsc7bnSe4+TLU2zbj06SQbscc1R1tIesXl4ioL4y1NvN1BBj6GkfAZCjCfhDTASAGkrw9upmzYhCz4UwRzb/SoGFgAYL9DGZ8K45WCXb/Ew67/GsLtdlJHpe1JgEG+jVJ7bQ3VTYSMGmHEYCS8c8IAFKTMeYOPXxSWUpSrKtEbQ9hG+J0B2+kHzA8jyKD+vhACQYbIqsOCISVNY3spUIeGCIOmGJLznpUXbYF3gVk3LktwueMY7RuHPZ68PyA==',
'LT':'1590553091850',
'BVImplmain_site':"2036",
'BVBRANDID':'20ae010b-0053-4a9f-902a-9197d72dc542',
'DYN_USER_ID.ro':'23c3e447-cab5-4a76-beec-86d431f09b30',
'cartId':'b6eb398f-ed49-46e8-8034-af8da418dd90',
'NEXT_GEN.ENABLED':"1",
'_pin_unauth':'NTY4YjUyZDctYzNmOC00NzA5LWExOTYtOWQxOWZlOWVkYjFi',
'TS011fb5f6':'01c5a4e2f941ffc623122b68eca74f3a27e0c416f7e2a5707b9417a73c048cb4be6507e9fd51df79c8015b3ba420dc6643bb0f8309',
'TS0175e29f':'01c5a4e2f941ffc623122b68eca74f3a27e0c416f7e2a5707b9417a73c048cb4be6507e9fd51df79c8015b3ba420dc6643bb0f8309',
'authDuration':'{"lat":"1590555466230000","lt":"1590555466230000"}',
'headerType':'grocery',
's_sq':'%5B%5BB%5D%5D',
'previousBreakpoint':'desktop',
'wmt.breakpoint':'d',
'akaau_P1':'1590607795~id=484ae7f711ac9dd38dbda655bd6ca764',
'TS01f4281b':'01c5a4e2f97a7d51551a734ebe2cb1fc4f7a86c4df28824fb5812f83c96f6df870698b389077cf6f5fd822d05324df82b802c7ad04',
'_uetsid':'2127b16a-c523-20a6-d801-43923775d65e',
'_derived_epik':'dj0yJnU9NC1yUFlPMF9IczhrTlFabmZpYWVTQ0NMZFl5blN2eEMmbj1wX2o0OFVpeUZLWjRUcGM3Rl9xaGFnJm09MSZ0PUFBQUFBRjdPdXpJJnJtPTEmcnQ9QUFBQUFGN091ekk',
'dtPC':'3$6637950_447h-vAKCBSUJVQJIVFIAUKQCIVTJULXFWHTFQ-0',
'rxvt':'1590610238206|1590608438206',
's_gnr':'1590609571427-Repeat',
'AMCV_C4C6370453309C960A490D44%40AdobeOrg':'-408604571%7CMCIDTS%7C18410%7CMCMID%7C17236695788713957075642593017320325404%7CMCAID%7CNONE%7CMCOPTOUT-1590616771s%7CNONE%7CvVersion%7C4.6.0',
'_4c_':'rVJNbxoxEP0rkQ85sbv%2BXHuRooqkUdWqSZQmVY%2FIeL1gZWGRbdimEf89YyCQNqnUQzmYnfF7M5437wn1M7tAQyIqXOJKKEIIH6AH%2BxjQ8AmZZTrX6Vj5Fg3RLMZlGBZF3%2Fd5r9u59jE3urCLYuo7Y%2F1j0fiViyFb26mNetLasM8U1xlTgqIBMl1toRSpcpULiOMviDKGMXwvfVevTBzHx2XC9HZyEuoHuKjt2hk77l0dZ1syxcfszLrpLKY0Vtv00kOAc5nK925Rd%2F2BSUWJj9kjk%2FH0tonv%2BmAT%2B2Lmu7k9UQSyHYiBfmwZAUJvG%2Bv9FvU%2F9Agubmc90Pc5WAKkIbi5uv82Pr8cXdxcv2rZzRcurrzNQmhf954UIRT93Bm90LVOghak%2BHKX0ZziHGdfR3eqCIxgQZVUmNCSVx9Gt%2Bdn5HTu6jMiKSvLSkilJGHwj6UoORUVw0QyihkVHPPT0e3lWVJmCd5ASeW2M7pNY4CbBujTaPz988etrCUTknPM8mQxISgcLyNdXeww%2F9QSSPfeTafWX9k462og3ntdu%2Bi6hW7T0sHGYIhGr9qYwrRV0%2BoQnKlteIjdEm0G6Ofe61AcWjEJ9otgbFVynH6A8K7emx5Z1kwaymRGqagzXpY001KxTHJdlsLYpqyTCLuailFVYYkrstnpsq0hji1ZxSXH6p2WO9f9nVPxtxyYdA9nb%2BDiHfjiZaijRId3w7OBVQLMvaD0H%2FeCKZXE6feAw4USQv0OTRmArg%2B1aNVII7XMYPgq48aYTBtNM6Mbogzs2AqBjkNgxWGOqtwPQdRuhs3mGQ%3D%3D'
}
self.session = self.create_session()
self.categories = [
'personal care', 'beauty', 'health'
]
# options = ChromeOptions()
# options.add_argument("--headless")
# options.add_argument("--disable-gpu")
# options.add_argument("--no-sandbox")
# self.driver = Chrome(options=options)
# self.generate_session()
# def generate_session(self):
# self.driver.get("https://www.walmart.com/")
# print(self.driver.get_cookies())
# cookies = self.driver.get_cookies()
# [self.session.cookies.set(cookie['name'], cookie['value']) for cookie in cookies]
def create_session(self):
transport = SyncProxyTransport.from_url("http://W4a8IruR4dkhNGb6:Hesj0mkBfnJ1n95M_country-us@geo.iproyal.com:12321")
session = httpx.Client(transport=transport)
return session
def get_product_detail(self, url):
try:
response = self.session.get(
url, headers=self.headers, cookies=self.cookies)
soup = BeautifulSoup(response.text, 'html.parser')
script_tag = soup.find('script', {'id': '__NEXT_DATA__'}).text
except:
try:
self.session = self.create_session()
response = self.session.get(
url, headers=self.headers, cookies=self.cookies)
soup = BeautifulSoup(response.text, 'html.parser')
script_tag = soup.find('script', {'id': '__NEXT_DATA__'}).text
except:
return False
# convert scraipt tag json to dict
script_tag_json = json.loads(script_tag)
try:
ingridents = script_tag_json['props']['pageProps']['initialData'][
'data']['idml']['ingredients']['ingredients']['value']
except:
ingridents = ''
try:
# x.props.pageProps.initialData.data.product.name
product_name = script_tag_json['props']['pageProps']['initialData']['data']['product']['name']
# x.props.pageProps.initialData.data.product.usItemId
product_id = script_tag_json['props']['pageProps']['initialData']['data']['product']['usItemId']
except:
return False
return [product_name, product_id, ingridents]
def get_no_of_pages_of_sub_category(self, url):
# burp0_headers = {"Dpr": "1", "Downlink": "10", "Sec-Ch-Ua": "\"Chromium\";v=\"117\", \"Not;A=Brand\";v=\"8\"", "Sec-Ch-Ua-Mobile": "?0", "Sec-Ch-Ua-Platform": "\"Windows\"", "Upgrade-Insecure-Requests": "1", "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.5938.132 Safari/537.36", "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7", "Sec-Fetch-Site": "same-origin", "Sec-Fetch-Mode": "navigate", "Sec-Fetch-User": "?1", "Sec-Fetch-Dest": "document", "Referer": "https://www.walmart.com/cp/health/976760?q=health", "Accept-Encoding": "gzip, deflate, br", "Accept-Language": "en-US,en;q=0.9"}
# response = requests.get(url, headers=burp0_headers)
# # try:
# pattern = r'"maxPage":\s*(\d+)'
# match = re.search(pattern, response.text)
# total_pages = match.group(1)
# print(total_pages)
return 25
# except:
# print('No pagination found')
# return 1
def get_category_browse_urls(self, category):
url = f'https://www.walmart.com/cp/health/976760?q={category}'
try:
response = self.session.get(url, headers=self.headers, cookies=self.cookies)
print(response.text)
url_pattern = re.compile(
r'https://www.walmart.com/browse/[^/]+/[^/]+/\d+_\d+\?povid=.*')
except:
try:
self.session = self.create_session()
response = self.session.get(url, headers=self.headers, cookies=self.cookies)
url_pattern = re.compile(
r'https://www.walmart.com/browse/[^/]+/[^/]+/\d+_\d+\?povid=.*')
except:
return False
url_matches = url_pattern.findall(response.text)
soup = BeautifulSoup(response.text, 'html.parser')
# Find all anchor (a) tags in the HTML
all_links = soup.find_all("a")
# Extract and print the href attribute of each anchor tag matching the pattern
for link in all_links:
href = link.get("href")
if href and url_pattern.match(href):
print(href)
print(href)
try:
total_pages = self.get_no_of_pages_of_sub_category(href)
urls = self.get_product_urls(href, int(total_pages))
except Exception as e:
print(e)
pass
def get_product_urls(self, url, pages):
urls = []
for i in range(1, pages + 1):
print(i)
request_url = f'{url}&page={i}'
print(request_url)
try:
response = self.session.get(
request_url, headers=self.headers, cookies=self.cookies)
soup = BeautifulSoup(response.text, 'html.parser')
items = soup.find_all('div', {'class': 'b--near-white'})
except:
try:
self.session = self.create_session()
response = self.session.get(
request_url, headers=self.headers, cookies=self.cookies)
soup = BeautifulSoup(response.text, 'html.parser')
items = soup.find_all('div', {'class': 'b--near-white'})
except:
return False
for item in items:
a_tag = item.find('a')
if a_tag:
if a_tag['href'].startswith('/ip'):
a_tag['href'] = 'https://www.walmart.com' + \
a_tag['href']
product = self.get_product_detail(a_tag['href'])
time.sleep(2)
print(product)
if product:
self.save_product({
'title': product[0],
'product_id': product[1],
'ingredients': product[2],
'url': a_tag['href'],
'store_name': 'Wallmart'
})
# self.save_product_to_csv(product)
print(urls)
return urls
def save_product_to_csv(self, product):
with open('wallmart.csv', 'a+', encoding='utf-8', newline='') as file:
# check if the product is already in the csv
file.seek(0) # move the file pointer to the beginning of the file
reader = csv.reader(file)
product_ids = [row[1] for row in reader]
if product[1] in product_ids:
return False
writer = csv.writer(file)
writer.writerow(product)
file.close()
def save_product(self, product):
try:
conn = psycopg2.connect(
host="ep-rapid-cake-30394055.us-east-2.aws.neon.tech",
database="ingredients-scraper",
user="mumer113141",
password="SFBtp4xnPeA2"
)
cur = conn.cursor()
cur.execute("INSERT INTO scraper_product (title, product_id, ingredients, url, store_name, date_created) VALUES (%s, %s, %s, %s, %s, %s)", (product['title'], product['product_id'], product['ingredients'], product['url'], product['store_name'], datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")))
conn.commit()
cur.close()
conn.close()
return True
except Exception as e:
print(e)
return False
def run(self):
print('Wallmart scraper started')
for category in self.categories:
self.get_category_browse_urls(category)
return True
|