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import os | ||
import pandas as pd | ||
from bs4 import BeautifulSoup | ||
from selenium import webdriver | ||
from selenium.webdriver.common.by import By | ||
from selenium.webdriver.support.ui import WebDriverWait | ||
from selenium.webdriver.support import expected_conditions as EC | ||
from selenium.common.exceptions import NoSuchElementException, TimeoutException, StaleElementReferenceException | ||
from selenium_stealth import stealth | ||
from selenium.webdriver.chrome.service import Service as ChromeService | ||
from webdriver_manager.chrome import ChromeDriverManager | ||
import time | ||
|
||
def configure_webdriver(): | ||
options = webdriver.ChromeOptions() | ||
options.add_argument("--headless") | ||
options.add_argument('--log-level=1') | ||
options.add_experimental_option("excludeSwitches", ["enable-automation"]) | ||
options.add_experimental_option('useAutomationExtension', False) | ||
driver = webdriver.Chrome(service=ChromeService(ChromeDriverManager().install()), options=options) | ||
stealth(driver, | ||
languages=["en-US", "en"], | ||
vendor="Google Inc.", | ||
platform="Win32", | ||
webgl_vendor="Intel Inc.", | ||
renderer="Intel Iris OpenGL Engine", | ||
fix_hairline=True, | ||
) | ||
return driver | ||
|
||
def handle_cookies(driver): | ||
try: | ||
first_cookie_button = WebDriverWait(driver, 10).until( | ||
EC.element_to_be_clickable((By.CSS_SELECTOR, "button.cm__btn[data-role='all']")) | ||
) | ||
first_cookie_button.click() | ||
time.sleep(0.5) | ||
except TimeoutException: | ||
print("First cookie button not found or not clickable") | ||
|
||
try: | ||
second_cookie_button = WebDriverWait(driver, 10).until( | ||
EC.element_to_be_clickable((By.ID, "onetrust-accept-btn-handler")) | ||
) | ||
second_cookie_button.click() | ||
time.sleep(0.5) | ||
except TimeoutException: | ||
print("Second cookie button not found or not clickable") | ||
|
||
def is_button_visible(driver): | ||
try: | ||
button = driver.find_element(By.ID, "load-more") | ||
return button.is_displayed() | ||
except (NoSuchElementException, StaleElementReferenceException): | ||
return False | ||
|
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def click_load_more(driver): | ||
try: | ||
load_more_button = WebDriverWait(driver, 10).until( | ||
EC.presence_of_element_located((By.ID, "load-more")) | ||
) | ||
|
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driver.execute_script("arguments[0].scrollIntoView(true);", load_more_button) | ||
time.sleep(0.5) | ||
driver.execute_script("arguments[0].click();", load_more_button) | ||
time.sleep(1) | ||
return True | ||
except (TimeoutException, StaleElementReferenceException) as e: | ||
print(f"Error clicking Load More button: {e}") | ||
return False | ||
|
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def load_all_jobs(driver): | ||
print("Loading all jobs...") | ||
click_count = 0 | ||
while True: | ||
if is_button_visible(driver): | ||
if click_load_more(driver): | ||
click_count += 1 | ||
else: | ||
break | ||
else: | ||
break | ||
|
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def scrape_job_data(driver): | ||
df = pd.DataFrame(columns=['Link', 'Job Title', 'Job Category', 'Location', 'Company']) | ||
|
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url = 'https://careers.airbusgroupap.com.au/jobtools/jncustomsearch.searchResults?in_organid=17272&in_jobDate=All&in_sessionid=' | ||
print(f"Scraping {url}") | ||
|
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driver.get(url) | ||
handle_cookies(driver) | ||
time.sleep(2) | ||
|
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load_all_jobs(driver) | ||
|
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try: | ||
print("Processing all loaded jobs...") | ||
soup = BeautifulSoup(driver.page_source, 'lxml') | ||
job_items = soup.select('ul.jobs-list li.job-item') | ||
|
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if not job_items: | ||
print("No jobs found.") | ||
return df | ||
|
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total_jobs = len(job_items) | ||
|
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for index, item in enumerate(job_items, 1): | ||
try: | ||
link_element = item.select_one('h3.load-place a') | ||
if not link_element: | ||
continue | ||
|
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link_full = 'https://careers.airbusgroupap.com.au' + link_element.get('href') | ||
job_title = link_element.text.strip() | ||
|
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location_element = item.select_one('p.loc-mark span:last-child') | ||
location = location_element.text.strip() if location_element else '' | ||
|
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job_category = '' | ||
category_element = item.select_one('.row:last-child p:first-child .load-place') | ||
if category_element: | ||
job_category = category_element.text.strip() | ||
|
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company = 'AIRBUS' | ||
|
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print(f"Scraped job: {job_title} - {location}") | ||
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new_data = pd.DataFrame({ | ||
'Link': [link_full], | ||
'Job Title': [job_title], | ||
'Job Category': [job_category], | ||
'Location': [location], | ||
'Company': [company] | ||
}) | ||
|
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df = pd.concat([df, new_data], ignore_index=True) | ||
|
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except Exception as e: | ||
print(f"Error processing job {index}: {e}") | ||
|
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except Exception as e: | ||
print(f"Error processing jobs: {e}") | ||
|
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print(f"Total jobs scraped: {len(df)}") | ||
return df | ||
|
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def save_df_to_csv(df, output_dir): | ||
if not os.path.exists(output_dir): | ||
os.makedirs(output_dir) | ||
|
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file_path = os.path.join(output_dir, 'AIRBUS_job_data.csv') | ||
df.to_csv(file_path, index=False) | ||
print(f"Data saved to {file_path}") | ||
|
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if __name__ == "__main__": | ||
driver = configure_webdriver() | ||
try: | ||
df = scrape_job_data(driver) | ||
save_df_to_csv(df, '.\\csv_files') | ||
finally: | ||
driver.quit() |