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| """ """ from __future__ import print_function, division
import time import sys import pandas as pd from selenium import webdriver from selenium.webdriver.chrome.options import Options import random chrome_options = webdriver.ChromeOptions() chrome_options.add_argument('--proxy-server=socks5://127.0.0.1:1080')
class Spider(object): def __init__(self): self.options = Options() self.options.add_argument('--headless') self.driver = webdriver.Chrome(chrome_options=chrome_options,executable_path="chromedriver") self.driver.implicitly_wait(10) self.verificationErrors = [] self.accept_next_alert = True self.url = "https://www.amazon.com/s?ie=UTF8&page=1&rh=n%3A2407749011%2Ck%3AApple&page=1" self.driver.get(self.url) self.data = [] self.detail_urls = [] def fanye(self): next_page_button = self.driver.find_element_by_xpath("//a[@id='pagnNextLink']") next_page_button.send_keys("\n") def get_single_page(self): lists = self.driver.find_elements_by_css_selector("li[id^='result_']") for li_element in lists[0:20]:
manufacturer, screen_size, product_dimensions_text, rating_content,\ reviews_content, more_offer_text, offer_Price, display_type_text, product_detail = [None] * 9 try: manufacturer = li_element.find_elements_by_xpath( ".//div[@class='a-fixed-left-grid-col a-col-right']/div/div")[1].text if "by Apple" not in manufacturer: continue except Exception as e: manufacturer = None try: url_detail_in_div = li_element.find_element_by_xpath( ".//div[@class='a-fixed-left-grid-col a-col-right']/div/div/a[contains(@title, 'Apple')]") detail_url_ = url_detail_in_div.get_attribute("href") product_detail = url_tile = url_detail_in_div.get_attribute("title") if "slredirect" in detail_url_: continue self.detail_urls.append(detail_url_) js = 'window.open("{}");'.format(detail_url_) self.driver.execute_script(js) handles = self.driver.window_handles for handle in handles: if handle != self.driver.current_window_handle: self.driver.switch_to_window(handle) break try: table1 = self.driver.find_elements_by_xpath("//table[@id='HLCXComparisonTable']/tbody/tr") for tr in table1: html1 = tr.get_attribute("innerHTML") if "Screen Size" in html1: td_inches = tr.find_elements_by_xpath(".//td")[0] screen_size = td_inches.text break except Exception as e: pass try: table2 = self.driver.find_elements_by_xpath("//table[@id='productDetails_detailBullets_sections1']/tbody/tr") for tr in table2: html2 = tr.get_attribute("innerHTML") if "Product Dimensions" in html2: product_dimensions_html = tr.find_elements_by_xpath(".//td")[0] product_dimensions_text = product_dimensions_html.text continue if "Customer Reviews" in html2: rating_html = tr.find_element_by_xpath(".//td") rating_text = rating_html.text reviews_text, rating_content = rating_text.split("\n") reviews_content = reviews_text.split(" ")[0] continue except Exception as e: pass self.driver.close() self.driver.switch_to_window(handles[0]) except Exception as e: pass try: more_offer_html = li_element.find_element_by_css_selector("a[href*='offer-listing']") more_offer_text = more_offer_html.text except Exception as e: pass try: offer_price_html = li_element.find_element_by_xpath(".//span[@class='sx-price sx-price-large']") offer_Price = offer_price_html.text except Exception as e: pass try: display_type_html = li_element.find_elements_by_xpath( ".//dl[@class='a-definition-list a-vertical s-padding-left-base']/li/span[@class='a-list-item a-size-small a-color-secondary']") for _span in display_type_html: if "Display Type:" in _span.text: display_type_html = _span.text display_type_text = display_type_html.split(":")[1] break except Exception as e: pass _tmp_dt = [manufacturer, screen_size, product_dimensions_text, rating_content, reviews_content, more_offer_text, offer_Price, display_type_text, product_detail, None, None] print(_tmp_dt) self.data.append(_tmp_dt) time.sleep(random.randint(0,2))
def main(self): i=0 while True and i<=4: self.get_single_page() try: i=i+1 self.fanye() except: break return self.data,self.detail_urls
a = Spider() dt, url_lists = a.main() print(url_lists)
col_name = ["Manufacturer", "Display_Size", "Display_Dimensions", "Rating", "Number_of_Review", "More_Offer", "Offer_Price", "Display_Type", "Product_detail", "Special_Feature", "Special_Offer"] df = pd.DataFrame(dt,columns=col_name)
print(df)
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