input/print 在 python url 从 csv 文件抓取时保持一致性

Question

我需要你的帮助来解决这个问题:

我这里有一个有效的 python 脚本：

from bs4 import BeautifulSoup
import requests
import csv

with open('urls.csv', 'r') as csvFile, open('results.csv', 'w', newline='') as results:
    reader = csv.reader(csvFile, delimiter=';')
    writer = csv.writer(results)

    for row in reader:
        # get the url
        url = row[0]

        # fetch content from server
        html = requests.get(url).content

        # soup fetched content
        soup = BeautifulSoup(html, 'html.parser')

        divTag = soup.find("div", {"class": "productsPicture"})

        if divTag:
            tags = divTag.findAll("a")
        else:
            continue

        for tag in tags:
            res = tag.get('href')
            if res != None:
                writer.writerow([res])

来源：

基本上我需要更改的原因是如何逐行保持输入和输出的一致性。见下文：

所有这一切背后的想法是 get/print 重定向 link，如果工作 link - 打印 link，如果不工作，打印 错误 link 左右

urls.csv样本

https://www.tennis-point.com/index.php?stoken=737F2976&lang=1&cl=search&searchparam=E705Y-0193; - valid
https://www.tennis-point.com/index.php?stoken=737F2976&lang=1&cl=search&searchparam=E703Y-0193; - non valid
https://www.tennis-point.com/index.php?stoken=737F2976&lang=1&cl=search&searchparam=E702Y-4589; - valid
https://www.tennis-point.com/index.php?stoken=737F2976&lang=1&cl=search&searchparam=E706Y-9093; - non valid

Answer 1

您只需要在使用 csv.writerow() 函数编写的列表中添加更多项目：

from bs4 import BeautifulSoup
import requests
import csv

with open('urls.csv', 'r') as csvFile, open('results.csv', 'w', newline='') as results:
    reader = csv.reader(csvFile)
    writer = csv.writer(results)

    for row in reader:
        # get the url

        for url in row:
            url = url.strip()

            # Skip any empty URLs
            if len(url):
                print(url)

                # fetch content from server

                try:
                    html = requests.get(url).content
                except requests.exceptions.ConnectionError as e:
                    writer.writerow([url, '', 'bad url'])
                    continue
                except requests.exceptions.MissingSchema as e:
                    writer.writerow([url, '', 'missing http...'])
                    continue

                # soup fetched content
                soup = BeautifulSoup(html, 'html.parser')

                divTag = soup.find("div", {"class": "productsPicture"})

                if divTag:
                    # Return all 'a' tags that contain an href
                    for a in divTag.find_all("a", href=True):
                        url_sub = a['href']

                        # Test that link is valid
                        try:
                            r = requests.get(url_sub)
                            writer.writerow([url, url_sub, 'ok'])
                        except requests.exceptions.ConnectionError as e:
                            writer.writerow([url, url_sub, 'bad link'])
                else:
                    writer.writerow([url, '', 'no results'])

给你：

https://www.tennis-point.com/index.php?stoken=737F2976&lang=1&cl=search&searchparam=E705Y-0193,https://www.tennis-point.com/asics-gel-game-6-all-court-shoe-men-white-silver-02013802643000.html,ok
https://www.tennis-point.com/index.php?stoken=737F2976&lang=1&cl=search&searchparam=E703Y-0193,https://www.tennis-point.com/asics-gel-game-6-all-court-shoe-men-white-silver-02013802643000.html,no results
https://www.tennis-point.com/index.php?stoken=737F2976&lang=1&cl=search&searchparam=E702Y-4589,https://www.tennis-point.com/asics-gel-resolution-7-clay-court-shoe-men-blue-lime-02014202831000.html,ok
https://www.tennis-point.com/index.php?stoken=737F2976&lang=1&cl=search&searchparam=E706Y-9093,https://www.tennis-point.com/asics-gel-resolution-7-clay-court-shoe-men-blue-lime-02014202831000.html,no results

异常处理可以捕获 CSV 文件中的 URL 无效的情况。您还可以测试从页面上的 link 返回的 URL 是否有效。第三列可以为您提供状态，即 ok、bad url、no results 或 bad link.

假设您的 CSV 文件中的所有列都包含 URL 需要测试的内容。

input/print 在 python url 从 csv 文件抓取时保持一致性

Keep consistency while input/print in python url scraping from a csv file

python

csv

input

beautifulsoup

consistency