About web scraping using python, xpath

import requests
from bs4 import BeautifulSoup
from lxml import html

# xpath for tags you want to extract (middle tier of download files)
target_xpath='//a[contains(text(), "Proliferation and Retention of Major Durable Goods, etc.")]/parent::div/following-sibling::div[3]/div/a[contains(@data-file_type, "CSV")]'

# url with entrances to data for each fiscal year
cause_url="https://www.e-stat.go.jp/stat-search/files?page=1&toukei=00100405&tstat=000001014549"

# url, the basis for entering data for each fiscal year
base_url="https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00100405&tstat=000001014549&cycle=0"

# Acquisition of url site data with entry points to data for each fiscal year
response=requests.get(cause_url)

# Prevention of garbled characters
response.encoding=response.apparent_encoding

# Analysis of sites with entrances to each year's data
soup = BeautifulSoup(response.content, "html.parser")

# Obtain the data-value value from url on the site where the entry to each year's data is posted
for span in group.find_all('span', attrs={'data-value1': True, 'data-value2': True}):
    if 'March Survey' in span.text:
        val1="&tclass1="+str(span['data-value1'])
        val2="&tclass2="+str(span['data-value2'])

        # Create additional url
        add_url=val1+val2+"&tclass3val=0"

        # url for loading to each year data page
        load_url = base_url + add_url

        # Analysis of download destination web page (using xpath because path acquisition is troublesome)
        load_request=requests.get(load_url)
        load_html = load_request.text
        load_root=html.fromstring(load_html)

        # Extracting Required Elements
        looking_tag=load_root.xpath(target_xpath)
        print(looking_tag)

[<Element a at 0x2584b9b1040>, <Element a at 0x2584b9b17c0>, <Element a at 0x2584b9b1d60>]
<Element a at 0x2584b92e680>, <Element a at 0x2584b92e2c0>, <Element a at 0x2584b9b9db0>
<Element a at 0x2584c3b5e50>, <Element a at 0x2584c3b5c70>, <Element a at 0x2584cf82f40>]
<Element a at 0x2584c81a590>, <Element a at 0x2584c81a5e0>, <Element a at 0x2584cd2def 0>
<Element a at 0x2584cf82db0>, <Element a at 0x2584c518b80>, <Element a at 0x2584c518360>
<Element a at 0x2584b92e090>, <Element a at 0x2584cf82f40>, <Element a at 0x2584cf82860>]
<Element a at 0x2584c81a0e0>, <Element a at 0x2584b92e680>, <Element a at 0x2584b92e2c0>]
<Element a at 0x2584c81a5e0>, <Element a at 0x2584b9b99a0>, <Element a at 0x2584b9b9db0>]
[]
<Element a at 0x2584c5184a0>, <Element a at 0x2584c81a590>, <Element a at 0x2584c81a5e0>]
[]
<Element a at 0x2584c81a0e0>, <Element a at 0x2584b92e680>, <Element a at 0x2584b92e2c0>]
<Element a at 0x2584b92e090>, <Element a at 0x2584b9b17c0>, <Element a at 0x2584b9b10e0>]
<Element a at 0x2584c3b5e50>, <Element a at 0x2584cd2def 0>, <Element a at 0x2584cd2dd60>
<Element a at 0x2584b92e2c0>, <Element a at 0x2584b92e680>, <Element a at 0x2584c3b5c70>
<Element a at 0x2584c5184a0>, <Element a at 0x2584cd2def 0>, <Element a at 0x2584cd2dd60>
<Element a at 0x2584c3b5c70>, <Element a at 0x2584c518b80>, <Element a at 0x2584b9b19a0>
[<Element a at 0x2584c81a5e0>, <Element a at 0x2584c81a0e0>, <Element a at 0x2584b9b99a0>]