tripadvisor-parser/tripadvisor_parser.py

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5.2 KiB
Python
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2023-05-01 11:16:10 +02:00
import math
import requests
from bs4 import BeautifulSoup, Tag
from tripadvisor_attraction import TripadvisorAttraction, TripadvisorReview
USERAGENT = "Mozilla/5.0 (X11; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/112.0"
HEADERS = {"User-Agent": USERAGENT}
class ReviewsPageInformation:
page_size: int
page_count: int
def __init__(self, page_size, page_count):
self.page_size = page_size
self.page_count = page_count
class TripadvisorAttractionReviewParser:
reviews_page_information: ReviewsPageInformation
base_url: str
review_urls: [str]
raw_reviews: [str]
review_soups: [BeautifulSoup]
def __init__(self, reviews_page_information: ReviewsPageInformation, base_url: str):
self.reviews_page_information = reviews_page_information
self.base_url = base_url
self.review_urls = []
self.raw_reviews = []
self.review_soups = []
def parse_reviews(self) -> [TripadvisorReview]:
print("Constructing Review URLs")
self.construct_reviews_urls()
print("Requesting Reviews")
self.request_reviews()
print("Souping Reviews")
self.soup_reviews()
reviews = []
print("Parsing Reviews")
for review_soup in self.review_soups:
review_cards = review_soup.find_all("div", attrs={"data-automation": "reviewCard"})
parsed_review_cards = self.parse_review_card(review_cards)
reviews.extend(parsed_review_cards)
return reviews
def construct_reviews_urls(self):
[prefix, suffix] = self.base_url.split("-Reviews-")
self.review_urls.append(self.base_url)
for review_index in range(self.reviews_page_information.page_size,
self.reviews_page_information.page_size * self.reviews_page_information.page_count,
self.reviews_page_information.page_size):
self.review_urls.append(f'{prefix}-Reviews-or{review_index}-{suffix}')
def request_reviews(self):
for review_url in self.review_urls:
self.raw_reviews.append(requests.get(review_url, headers=HEADERS).text)
def soup_reviews(self):
for review in self.raw_reviews:
self.review_soups.append(BeautifulSoup(review, features="html.parser"))
def parse_review_card(self, soups: [Tag]) -> [TripadvisorReview]:
reviews = []
for soup in soups:
reviews.append(self.parse_review(soup))
return reviews
def parse_review(self, soup: Tag) -> TripadvisorReview:
[review_title, review_text] = soup.find_all("span", class_="yCeTE")
review = TripadvisorReview()
review.review_title = review_title.text
review.review_text = review_text.text
posting_date_tag = soup.find("div", class_="RpeCd")
if posting_date_tag is not None:
review.posting_date = posting_date_tag.text.split("")[0]
else:
review.posting_date = ""
review.username = soup.find("a", class_="ukgoS").text
review.count_stars = float(soup.find("svg", class_="H0").get("aria-label").split(" ")[0].replace(',', '.'))
review.count_likes = int(soup.find("span", class_="biGQs _P FwFXZ").text)
translation_hint = soup.find("span", class_="Ne d Vm")
if translation_hint is not None:
review.translated_by = translation_hint.img.get("alt")
else:
review.translated_by = ""
return review
class TripadvisorAttractionParser:
url: str
soup: BeautifulSoup
def __init__(self, url):
self.url = url
response = requests.get(url, headers=HEADERS)
if response.status_code != 200:
print("No status code 200")
html = response.text
self.soup = BeautifulSoup(html, features="html.parser")
def parse(self) -> TripadvisorAttraction:
attraction = TripadvisorAttraction()
attraction.title = self.parse_title()
attraction.count_of_reviews = self.parse_count_of_reviews()
attraction.reviews = self.parse_reviews()
return attraction
def parse_title(self) -> str:
return self.soup.find("h1", attrs={"data-automation": "mainH1"}).text
def parse_count_of_reviews(self) -> int:
return int(
self.soup.find("span", class_="KAVFZ").text.split("\xa0", maxsplit=2)[0].replace(',', '').replace('.', ''))
def parse_reviews(self) -> [TripadvisorReview]:
pagination_info = self.soup.find("div", class_="Ci").text
first_review_index = int(pagination_info.split(" ")[1].split(" ")[0])
last_review_index = int(pagination_info.split(" ")[3].split(" ")[0])
total_review_count = int(self.soup.find("button", class_="OKHdJ z Pc PQ Pp PD W _S Gn Z B2 BF _M PQFNM wSSLS").get("aria-label").split('(')[-1].split(')')[0].replace('.', ''))
page_size = last_review_index - first_review_index + 1
reviews_page_information = ReviewsPageInformation(page_size,
page_count=math.ceil(total_review_count / page_size))
return TripadvisorAttractionReviewParser(reviews_page_information, self.url).parse_reviews()