使用硒进行网页爬虫:移至下一页

时间:2020-08-03 16:01:30

标签: python selenium selenium-webdriver web-scraping selenium-chromedriver

我如何从该网站获取以下信息,检查gif在下一页中还有更多评论?我想使用硒和网络驱动程序

  • <span class="a-profile-name">NAME</span>

  • <i data-hook="review-star-rating" class="a-icon a-icon-star a-star-2 review-rating"><span class="a-icon-alt">2.0 out of 5 stars</span></I>

  • 几个月后分崩离析
    • <span data-hook="review-date" class="a-size-base a-color-secondary review-date">Reviewed in the United States on January 23, 2019</span>
  • 评论主体:

穿着约4个月后,鞋底完全脱胶 在办公环境中。我无法想象一对合法的 匡威运动鞋的品质如此低劣。我不是专家 但我认为它们是假的。

这两种鞋都不值钱。

我更喜欢使用selenium,因为我可以轻松地移至下一页并存储收集的数据。

对于这些字段中的每个字段,我应该有单独的列表,这些列表收集:author, dates, stars, review's title and review's body。 示例如下:

https://www.amazon.com/Converse-Chuck-Taylor-Star-Core/dp/B07KLM7JRL/ref=sr_1_1?dchild=1&keywords=converse&qid=1596469913&sr=8-1&th=1

具有2226个评分评论。

您认为硒有作用吗?

代码(代码中包含缺少的信息,可能搜索的一部分也不正确):

from bs4 import BeautifulSoup
import time
from selenium import webdriver
import re
def spider():
 
    driver = webdriver.Chrome('path/chromedriver'))
    

    driver.get('https://www.amazon.com/Converse-Chuck-Taylor-Star-Core/dp/B07KLM7JRL/ref=sr_1_1?dchild=1&keywords=converse&qid=1596469913&sr=8-1&th=1') #in th I should add page number info

    time.sleep(1)
    search = driver.find_element_by_name('q')
    time.sleep(2)
    search.submit()

    author = []
    dates = []
    score = []
    review_min = []
    review = []
   
    while True:
        soup = BeautifulSoup(driver.page_source,'lxml')
        result_div = soup.find_all('div', attrs={'class': 'g'})
        time.sleep(2)
        for r in result_div:
                    # here there should be the part to get info about author, dates, scores, ...
                        time.sleep(1)
# part where I append results scraped

        next_page_btn =driver.find_elements_by_xpath("//a[@id='pnnext']")
        if len(next_page_btn) <1:
            print("no more pages left")
            break

        element =WebDriverWait(driver,100).until(expected_conditions.element_to_be_clickable((By.ID,'pnnext')))
        driver.execute_script("return arguments[0].scrollIntoView();", element)
        element.click()
        time.sleep(2)

   
    driver.quit()

1 个答案:

答案 0 :(得分:1)

您的解决方案需要由几层组成。每个层负责不同的动作和行为。

第一层

负责导航和页面迭代-将在每个页面重复。

第二层

负责商品-将提取单个商品评论信息,并将重复页面中的每个商品。

这是最棘手的部分,因为它必须在不同的页面中打开每个项目(如果使用“后退”,它将刷新并丢失数据),导航到新页面,切换,提取,关闭并切换回-所以我们回到点0,准备下一个项目。

第三层

负责评论-将提取单个项目的所有评论,并将重复每个项目页面的所有评论

摘要

For Each Page Extract
    > Item, For Each Item Extract
        > Reviews

结果将是具有以下格式的评论项目的数组

{
    "product": "My Product",
    "link": "https://products/my_product",
    "reviews": [
        { "author": "foo", "date": "0000-000"... },
        { "author": "bar", "date": "0000-000"... },
        ...
    ]
}

代码示例

这将是您的起点,您可以实施缺少的部分。这将在单个页面中提取所有项目的评论。

按原样运行示例,只需更改驱动程序路径即可。

import re

from selenium import webdriver
from selenium.webdriver import ActionChains
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions
from selenium.webdriver.support.wait import WebDriverWait


def spider(page_number: int):
    # setup: web driver > wait object > url format > page number
    driver = webdriver.Chrome('D:\\automation-env\\web-drivers\\chromedriver.exe')
    wait = WebDriverWait(driver, 15)
    url_format =\
        "https://www.amazon.com/Converse-Chuck-Taylor-Star-Core/dp/B07KLM7JRL/" \
        "ref=sr_1_1?" \
        "dchild=1&" \
        "keywords=converse&" \
        "qid=1596469913&" \
        "sr=8-1&" \
        "th={page_number}"

    try:
        # navigate
        driver.get(url_format.format(page_number=page_number))
        driver.maximize_window()

        # search your product
        __search(driver_wait=wait, search_for='converse')

        # cache item
        rate_locator = (By.XPATH, "//i[contains(@class,'a-star-small-')]")
        items = wait.until(expected_conditions.visibility_of_all_elements_located(rate_locator))

        # product cycle
        reviews = []
        for i in range(len(items)):
            reviews.append(__product_cycle(on_driver=driver, on_element=items[i], on_element_index=i + 1))

        # output
        print(reviews)

    except Exception as e:
        print(e)

    finally:
        if driver is not None:
            driver.quit()


# execute search product
def __search(driver_wait: WebDriverWait, search_for: str):
    # search
    search = driver_wait.until(expected_conditions.element_to_be_clickable((By.ID, 'twotabsearchtextbox')))
    search.clear()
    search.send_keys(search_for)
    search.submit()


# execute an extraction on single item in the products list
# you can add more logic to extract the rest of the review
def __product_cycle(on_driver, on_element, on_element_index):
    # hover the review element
    ActionChains(driver=on_driver).move_to_element(on_element).perform()

    # open reviews in new page (the index is here to handle amazon keeping in the DOM all reviews already inspected)
    wait = WebDriverWait(on_driver, 15)
    link_element_locator = (By.XPATH, "(//a[.='See all customer reviews'])[" + f'{on_element_index}' + "]")
    link_element =\
        wait.until(expected_conditions.element_to_be_clickable(link_element_locator))
    link = link_element.get_attribute(name='href')

    on_driver.execute_script(script="window.open('about:blank', '_blank');")
    on_driver.switch_to_window(on_driver.window_handles[1])
    on_driver.get(link)

    # cache review elements
    review_locator = (By.XPATH, "//div[contains(@id,'customer_review-')]")
    review_elements = wait.until(expected_conditions.visibility_of_all_elements_located(review_locator))

    # extract reviews for page
    # if you want to iterate pages put this inside page iteration loop
    reviews = {
        "product": on_driver.title,
        "link": on_driver.current_url,
        "data": []
    }
    reviews_data = []
    for e in review_elements:
        reviews["data"].append(__get_item_review(on_driver, e))

    # return to point 0
    on_driver.close()
    on_driver.switch_to_window(on_driver.window_handles[0])

    # results
    return reviews


# extracts a single item reviews collection
def __get_item_review(on_driver, on_element) -> dict:
    # locators
    author_locator = ".//span[@class='a-profile-name']"
    date_locator = ".//span[@data-hook='review-date']"
    score_locator = ".//a[.//i[@data-hook='review-star-rating']]"
    review_locator = ".//div[@data-hook='review-collapsed']/span"

    # data
    review_data = {
        'author': on_element.find_element_by_xpath(author_locator).text.strip(),
        'date': re.findall('(?<=on ).*', on_element.find_element_by_xpath(date_locator).text.strip())[0],
        'score': re.findall('\\d+.\\d+', on_element.find_element_by_xpath(score_locator).get_attribute("title"))[0],
        'review': on_element.find_element_by_xpath(review_locator).text.strip(),
    }

    # TODO: add more logic to get also the hidden reviews for this item.

    # results data
    return review_data


spider(page_number=1)