[已解决]做爬虫的一些问题

from selenium import webdriver
import time

driver = webdriver.Chrome()
driver.get('https://ned.ipac.caltech.edu/byname?objname=PKS%200002-478&hconst=67.8&omegam=0.308&omegav=0.692&wmap=4&corr_z=1')
time.sleep(5)

driver.find_element_by_id('ui-id-10').click()  #切换到Photometry & SED (47)选项卡
time.sleep(5)

tab1 = driver.find_elements_by_xpath('//div[@class="fixedDataTableLayout_rowsContainer"]')[0]
#因为该选项卡下有两个表格，所以用[0]指定为第一个表格
cells = tab1.find_elements_by_class_name('public_fixedDataTableCell_cellContent')
#表格单元class均为public_fixedDataTableCell_cellContent
txt = [i.text for i in cells]
print(txt)

import requests

url = 'https://ned.ipac.caltech.edu/ffs/sticky/CmdSrv'
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.212 Safari/537.36'
}
data = {
    'request': '{"startIdx":0,"pageSize":1000,"ffSessionId":"FF-Session-1621083370564","filters":"","source":"http://ned.ipac.caltech.edu/cgi-bin/objsearch?extend=no&out_csys=Equatorial&out_equinox=J2000.0&obj_sort=RA+or+Longitude&of=xml_qlphot&zv_breaker=30000.0&list_limit=5&img_stamp=YES&objname=PKS+0002-478&hconst=67.8&omegam=0.308&omegav=0.692&wmap=4&corr_z=1&objid=76355","alt_source":"http://ned.ipac.caltech.edu/cgi-bin/objsearch?extend=no&out_csys=Equatorial&out_equinox=J2000.0&obj_sort=RA+or+Longitude&of=xml_qlphot&zv_breaker=30000.0&list_limit=5&img_stamp=YES&objname=PKS+0002-478&hconst=67.8&omegam=0.308&omegav=0.692&wmap=4&corr_z=1&objid=76355","META_INFO":{"title":"qlphot","tbl_id":"tbl_id-c50b9-6","col.Refcode.PrefWidth":"20","col.Spectral Region.PrefWidth":"14","col.Band.PrefWidth":"17","col.Apparent Mag or Flux.PrefWidth":"16","col.Reference code.PrefWidth":"12","selectInfo":"false--0"},"tbl_id":"tbl_id-c50b9-6","id":"IpacTableFromSource"}',
    'cmd': 'tableSearch'
}
res = requests.post(url, headers=headers, data=data)
print(res.json())

import requests
import re
import time
from urllib import parse


def parser(datas):
    for data in datas:
        print(data)

def get_data(objid, keyword):
    url = 'https://ned.ipac.caltech.edu/ffs/sticky/CmdSrv'
    ff = str(int(time.time() * 1000))
    data = {
        'request': '{"startIdx":0,"pageSize":1000,"ffSessionId":"FF-Session-'+ff+'","filters":"","source":"http://ned.ipac.caltech.edu/cgi-bin/objsearch?extend=no&out_csys=Equatorial&out_equinox=J2000.0&obj_sort=RA+or+Longitude&of=xml_qlphot&zv_breaker=30000.0&list_limit=5&img_stamp=YES&objname='+keyword+'&hconst=67.8&omegam=0.308&omegav=0.692&wmap=4&corr_z=1&objid='+objid+'","alt_source":"http://ned.ipac.caltech.edu/cgi-bin/objsearch?extend=no&out_csys=Equatorial&out_equinox=J2000.0&obj_sort=RA+or+Longitude&of=xml_qlphot&zv_breaker=30000.0&list_limit=5&img_stamp=YES&objname='+keyword+'&hconst=67.8&omegam=0.308&omegav=0.692&wmap=4&corr_z=1&objid='+objid+'","META_INFO":{"title":"qlphot","tbl_id":"tbl_id-c50b9-6","col.Refcode.PrefWidth":"20","col.Spectral Region.PrefWidth":"14","col.Band.PrefWidth":"17","col.Apparent Mag or Flux.PrefWidth":"16","col.Reference code.PrefWidth":"12","selectInfo":"false--0"},"tbl_id":"tbl_id-c50b9-6","id":"IpacTableFromSource"}',
        'cmd': 'tableSearch'
    }
    res = requests.post(url, headers=headers, data=data)
    return res.json()['tableData']['data']

def get_objid(keyword):
    url = f'https://ned.ipac.caltech.edu/byname?objname={keyword}&hconst=67.8&omegam=0.308&omegav=0.692&wmap=4&corr_z=1'
    res = requests.get(url, headers=headers)
    objid = re.findall('objid=(.*?)"', res.text)[0]
    datas = get_data(objid, keyword)
    parser(datas)

if __name__ == '__main__':
    word = input('输入关键词：')
    key_word = parse.quote(word)
    headers = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.212 Safari/537.36'
    }
    get_objid(key_word)