Python 3.x Pandas不会写入所有结果，它会覆盖并只给出最后一个结果

我正在进行网页抓取，我正在逐行从文本文件中提取姓名，在谷歌上搜索，并从搜索结果中抓取地址。我想在各自的名字前面加上这个结果。这是我的文本文件a.txt：

0.5BN FINHEALTH PRIVATE LIMITED
01 SYNERGY CO.
1 BY 0 SOLUTIONS

这是我的代码：

import requests
from bs4 import BeautifulSoup
import pandas as pd


USER_AGENT = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.14; rv:65.0) Gecko/20100101 Firefox/65.0"

out_fl = open('a.txt','r')
for line in out_fl:
    query = line
    query = query.replace(' ', '+')
    # print(line)
    URL = f"https://google.com/search?q={query}"
    # print(URL)
    headers = {"user-agent": USER_AGENT}
    resp = requests.get(URL, headers=headers)
    if resp.status_code == 200:
        soup = BeautifulSoup(resp.content, "html.parser")
        results = []
        for g in soup.find_all('div', class_="i4J0ge"):
                address = soup.find('span', class_="LrzXr")
                if address:
                    address = (address.text)
                else:
                    print("Not found")
                phone = soup.find('span',class_="LrzXr zdqRlf kno-fv")
                if phone:
                    phone = (phone.text)
                else:
                    print("None")
                company = line
                item = {"company": line.replace('\n',''),"Address" : address,"Phone" : phone}
                # print(item)
                results.append(item)
                print(results)
df = pd.DataFrame(results, columns=["company", "Address", "Phone"])
df.to_excel('filename.xlsx', sheet_name='sheet name', index=False)
out_fl.close()

---

我不知道它在哪里被覆盖，请帮助我。谢谢。

试试这个，但你必须根据自己的喜好修改结果

import requests
from bs4 import BeautifulSoup
import pandas as pd


USER_AGENT = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.14; rv:65.0) Gecko/20100101 Firefox/65.0"
df = pd.DataFrame(results, columns=["company","result"])
out_fl = open('a.txt','r')
for line in out_fl:
    query = line
    query = query.replace(' ', '+')
    # print(line)
    URL = f"https://google.com/search?q={query}"
    # print(URL)
    headers = {"user-agent": USER_AGENT}
    resp = requests.get(URL, headers=headers)
    if resp.status_code == 200:
        soup = BeautifulSoup(resp.content, "html.parser")
        results = []
        for g in soup.find_all('div', class_="i4J0ge"):
                address = soup.find('span', class_="LrzXr")
                if address:
                    address = (address.text)
                else:
                    print("Not found")
                phone = soup.find('span',class_="LrzXr zdqRlf kno-fv")
                if phone:
                    phone = (phone.text)
                else:
                    print("None")
                company = line
                item = {"company": line.replace('\n',''),"Address" : address,"Phone" : phone}
                # print(item)
                results.append(item)
                print(results)

                df.loc[query]=[query,results]

                df.to_excel("results.xlsx",sheet_name="result", index=False) 

---

尝试此操作，但您必须根据您的需要修改结果

import requests
from bs4 import BeautifulSoup
import pandas as pd


USER_AGENT = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.14; rv:65.0) Gecko/20100101 Firefox/65.0"
df = pd.DataFrame(results, columns=["company","result"])
out_fl = open('a.txt','r')
for line in out_fl:
    query = line
    query = query.replace(' ', '+')
    # print(line)
    URL = f"https://google.com/search?q={query}"
    # print(URL)
    headers = {"user-agent": USER_AGENT}
    resp = requests.get(URL, headers=headers)
    if resp.status_code == 200:
        soup = BeautifulSoup(resp.content, "html.parser")
        results = []
        for g in soup.find_all('div', class_="i4J0ge"):
                address = soup.find('span', class_="LrzXr")
                if address:
                    address = (address.text)
                else:
                    print("Not found")
                phone = soup.find('span',class_="LrzXr zdqRlf kno-fv")
                if phone:
                    phone = (phone.text)
                else:
                    print("None")
                company = line
                item = {"company": line.replace('\n',''),"Address" : address,"Phone" : phone}
                # print(item)
                results.append(item)
                print(results)

                df.loc[query]=[query,results]

                df.to_excel("results.xlsx",sheet_name="result", index=False) 

---

此脚本将从您的输入文件a.txt生成公司/电话的CSV：

0.5BN FINHEALTH PRIVATE LIMITED
01 SYNERGY CO.
1 BY 0 SOLUTIONS

从LibreOffice生成data.csv屏幕截图：

---

此脚本将从您的输入文件a.txt生成公司/电话的CSV：

0.5BN FINHEALTH PRIVATE LIMITED
01 SYNERGY CO.
1 BY 0 SOLUTIONS

从LibreOffice生成data.csv屏幕截图：

---

给出您的输出和所需的输出。它只写最后一行。。表示它写得太多。公司地址电话0.5亿FINHEALTH PRIVATE LIMITED乳制品公司GNS Towers 18 BHIVE Forum二楼。。。None给出您的输出和所需的输出。它只写最后一行。。表示它写得太多。公司地址电话0.5亿FINHEALTH PRIVATE LIMITED乳制品公司GNS Towers 18 BHIVE Forum二楼。。。没有一个