Python 浏览谷歌图片不会产生第一个图片结果

我编写了这个webscraper脚本，它可以抓取谷歌图片（有一些在线帮助）。这是：

import os
import requests
from bs4 import BeautifulSoup
import csv

# Base URL for Google Search
google_image = 'https://www.google.com/search?site=&tbm=isch&source=hp&biw=1873&bih=990&'

# CSV Directory
csv_dir = '../main/data/activities.csv'

# Neccesary strings for Python to access browser network
usr_agent = {
    'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.64 '
                  'Safari/537.11',
    'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
    'Accept-Charset': 'ISO-8859-1,utf-8;q=0.7,*;q=0.3',
    'Accept-Encoding': 'none',
    'Accept-Language': 'en-US,en;q=0.8',
    'Connection': 'keep-alive',
}


def description_to_query(activity_description):
    line = activity_description.lower()
    line = line.replace(' ', '+')
    return line


def download_images(activity_description):
    """Takes as input the activity description and writes corresponding Google Images result to activitiy_img folder,
    adding that path to the activities csv as well """

    # Image directory
    img_dir = '../main/data/activitiy_img'
    if not os.path.exists(img_dir):
        os.mkdir(img_dir)

    # Create URL for web
    searchurl = google_image + 'q=' + description_to_query(activity_description)
    print(f'{activity_description}: {searchurl}')

    # Get content from URL
    response = requests.get(searchurl, headers=usr_agent)

    # Find all divs containing images
    soup = BeautifulSoup(response.text, 'html.parser')
    results = soup.findAll('img', {'class': 'rg_i Q4LuWd'})

    # Unpacking div and retrieving data-src content. If key not found, continue.
    link = ''
    for res in results:
        try:
            link = res['data-src']
        except KeyError:
            continue

    # Getting image data from just retrieved data-src and declaring img_name based on dir and description
    response = requests.get(link)
    img_path = img_dir + '/' + activity_description + '.jpg'

    # Writing file
    with open(img_path, 'wb') as img:
        img.write(response.content)
        print(f'Downloading image {img_path}...')

    # Updating activities CSV file
    write_img_to_csv(activity_description, img_path)


def write_img_to_csv(activity_description, img_path):
    """Writes image path to CSV line corresponding with activity description"""
    
    # Reading CSV and copying to directory
    csv_read = csv.reader(open(csv_dir, newline=''))
    lines = list(csv_read)

    # Changing CSV values
    for row in lines:
        if row[1] == activity_description.lower():
            # Converting to int to add, then back to string to store updated value in CSV
            row[3] = img_path
            print(f'{img_path} added to CSV')

    # Changing CSV file to locally changed CSV
    csv_write = csv.writer(open(csv_dir, 'w', newline=''))
    csv_write.writerows(lines)

现在，问题是，它很有效（万岁！），但它似乎不是第一个结果（通常是最好的结果），而是一个非常“晚”的结果，可能与搜索描述

活动描述

相差很远，而且往往是非常低的分辨率

我想知道为什么会这样。我已经检查了Google Images HTML源代码，用于识别图像类的dict

{'class'：'rg_I Q4LuWd'}

似乎也存在于第一个图像中。我假设

soup.findAll

最初会找到第一个结果，但我可能错了，我想知道我是不是错了，如果不是，错在哪里

提前谢谢