程序使用了大量的/tmp空间
我有一个Ubuntu linux 的服务器我想在上面每小时运行我的爬虫程序(用到了selenium chromedriver).程序会打开不同产品网页(大约1p00个),输入不同的邮编(100个)然后爬取价格。但当我在服务器上运行几个小时后,服务器的人联系我说我的运行程序消耗了大量的 /tmp 空间( free space: / 3765 MB (53% inode=70%): /home 699 MB (81% inode=99%): /opt 1169 MB (43% inode=99%): /tmp 25 MB (1% inode=55%): /usr/local 819 MB (95% inode=99%): /var 5957 MB (78% inode=99%):)。请问这是怎么回事这是我的代码:data = read_csv("C:\\Users\\12987\\desktop\\zipcode\\zc.csv")
# converting column data to list
zipCodeList = data['Zipcode'].tolist()
while(True):
AArray = []
def ScrapingTarget(url):
wait_imp = 10
CO = webdriver.ChromeOptions()
CO.add_experimental_option('useAutomationExtension', False)
CO.add_argument('--ignore-certificate-errors')
CO.add_argument('--start-maximized')
wd = webdriver.Chrome(r'D:\chromedriver\chromedriver_win32new\chromedriver_win32 (2)\chromedriver.exe',options=CO)
wd.get(url)
wd.implicitly_wait(wait_imp)
for zipcode in zipCodeList:
# click the My Store
myStore = wd.find_element(by=By.XPATH, value="//*[@id='web-store-id-msg-btn']/div/div")
myStore.click()
sleep(0.5)
#input ZipCode
inputZipCode = wd.find_element(by=By.XPATH, value="//*[@id='zip-or-city-state']")
inputZipCode.clear()
inputZipCode.send_keys(zipcode)
#click lookup
clickLoopUP = wd.find_element(by=By.XPATH, value="//*[@id='overlay-1']/div/div/div/div/div/button")
clickLoopUP.click()
sleep(0.5)
#choose Store
store = wd.find_element(by=By.XPATH, value="//*[@id='overlay-1']/div/div/div/div/button")
store.click()
#start scraping
name = wd.find_element(by=By.XPATH, value="//*[@id='pageBodyContainer']/div/div/h1/span").text
#nameArray.append(name)
price = wd.find_element(by=By.XPATH, value="//*[@id='pageBodyContainer']/div/div/div/div/div/div/span").text
#priceArray.append(price)
currentZipCode = zipcode
#zipCodeArray.append(currentZipCode)
tz = pytz.timezone('Europe/London')
GMT = datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
#GMTArray.append(GMT)
# needed to click onto the "Show more" to get the tcin and upc
xpath = '//*[@id="tabContent-tab-Details"]/div/button'
element_present = EC.presence_of_element_located((By.XPATH, xpath))
WebDriverWait(wd, 5).until(element_present)
showMore = wd.find_element(by=By.XPATH, value=xpath)
sleep(2)
showMore.click()
soup = BeautifulSoup(wd.page_source, 'html.parser')
# gets a list of all elements under "Specifications"
div = soup.find("div", {"class": "styles__StyledCol-sc-ct8kx6-0 iKGdHS h-padding-h-tight"})
list = div.find_all("div")
for a in range(len(list)):
list = list.text
# locates the elements in the list
tcin =
upc =
#TCIN.append(tcin)
#UPC.append(upc)
#scroll up
#wd.find_element_by_tag_name('body').send_keys(Keys.CONTROL + Keys.HOME)
wd.find_element(by=By.TAG_NAME, value='body').send_keys(Keys.CONTROL + Keys.HOME)
AArray.append()
with concurrent.futures.ThreadPoolExecutor(10) as executor:
executor.map(ScrapingTarget, urlList)
with open(r'C:\Users\12987\PycharmProjects\python\Network\priceingAlgoriCoding\export_Target_dataframe.csv',
'a', newline="", encoding='utf-8') as f:
writer = csv.writer(f)
writer.writerows(AArray)
sleep(3600)我觉得driver.quit()和driver.close()可能会有用但不敢尝试
希望能顺利每小时都运行这个程序
需要quit 文件位置写到其他盘 看看缓存或者用什么了 quit相对close后,占用内存会少点吧?
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