[英]Interacting with JavaScript object when web scraping with python and selenium
[英]Interacting with javascript scrollable container from python/selenium
我正在嘗試使用 Selenium/Python 從http://factfinder.census.gov自動下載數據集。 我是 Javascript 的新手,如果這是一個容易解決的問題,我深表歉意。 我現在正在處理代碼的開頭部分,它應該:
我被困在第 3 步。這是一個屏幕截圖; 似乎我想訪問帶有 ID“scrollable_container_topics”的 div,然后遍歷或索引以獲取其子節點(在這種情況下,我想要最后一個子節點)。 我曾嘗試使用 script_execute 然后通過 id 和類名定位元素,但到目前為止沒有任何效果。 我將不勝感激任何指點。
這是我的代碼:
import os
import re
import time
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support.select import Select
# A list of all the variables we want to extract; corresponds to "Topics" field on site
topics = ["B03003", "B05001"]
# A list of all the states we want to extract data for (currently, strings; is there a numeric code?)
states = ["New Jersey", "Georgia"]
# A vector of all the years we want to extract data for [lower, upper) *Note* this != range of years covered by data
years = range(2009, 2010)
# Define the class
class CensusSearch:
# Initialize and set attributes of the query
def __init__(self, topic, state, year):
"""
:type topic: str
:type state: str
:type year: int
"""
self.topic = topic
self.state = state
self.year = year
def setUp(self):
# self.driver = webdriver.Chrome("C:/Python34/Scripts/chromedriver.exe")
self.driver = webdriver.Firefox()
def extractData(self):
driver = self.driver
driver.set_page_load_timeout(1000000000000)
driver.implicitly_wait(100)
# Navigate to site; this url = after you have already chosen "Advanced Search"
driver.get("http://factfinder.census.gov/faces/nav/jsf/pages/searchresults.xhtml?refresh=t")
driver.implicitly_wait(10)
# FIlter by dataset (want the ACS 1, 3, and 5-year estimates)
driver.execute_script("document.getElementsByClassName('leftnav_btn')[0].click()") # click the "Topics" button
driver.implicitly_wait(20)
# This is where I am stuck; I've tried the following:
getData = driver.find_element_by_id("ygtvlabelel172")
getData.click()
driver.implicitly_wait(10)
# Filter geographically: select all counties in the United States and Puerto Rico
# Click "Geographies" button
driver.execute_script("document.getElementsByClassName('leftnav_btn')[1].click()")
driver.implicitly_wait(10)
drop_down = driver.find_element_by_class_name("popular_summarylevel")
select_box = Select(drop_down)
select_box.select_by_value("050")
# Once "Geography" is clicked, select "County - 050" from the drop-down menu; then select "All US + Puerto Rico"
drop_down_counties = driver.find_element_by_id("geoAssistList")
select_box_counties = Select(drop_down_counties)
select_box_counties.select_by_index(1)
# Click the "ADD TO YOUR SELECTIONS" button
driver.execute_script("document.getElementsByClassName('button-g')[0].click()")
driver.implicitly_wait(10)
def tearDown(self):
self.driver.quit()
def main(self):
#print(getattr(self))
print(self.state)
print(self.topic)
print(self.year)
self.setUp()
self.extractData()
self.tearDown()
for a in topics:
for b in states:
for c in years:
query = CensusSearch(a, b, c)
query.main()
print("done")
要解決的幾件事:
document.getElement..
方法 - selenium 有自己的方法來定位頁面上的元素implicitly_wait()
不會像time.sleep()
-在這種情況下,您不會立即獲得時間延遲)或頁面加載超時-只需使用在頁面上執行操作之前顯式等待這是一個工作代碼,單擊“主題”,然后單擊“數據集”:
from selenium import webdriver
from selenium.webdriver import ActionChains
from selenium.webdriver.common.by import By
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
driver = webdriver.Firefox()
driver.get("http://factfinder.census.gov/faces/nav/jsf/pages/searchresults.xhtml?refresh=t")
wait = WebDriverWait(driver, 10)
actions = ActionChains(driver)
# click "Topics"
topics = wait.until(EC.element_to_be_clickable((By.CSS_SELECTOR, "a#topic-overlay-btn")))
driver.execute_script("arguments[0].click();", topics)
# click "Dataset"
dataset = wait.until(EC.element_to_be_clickable((By.CSS_SELECTOR, "span[title=Dataset]")))
dataset.click()
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