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Scraping publications from bg.pcz.pl
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
import time
driver = webdriver.Chrome()
driver.get('https://bg.pcz.pl/apisnb')
# prepare unit information
unit = driver.find_element(By.NAME, "unit")
unit.send_keys("Wydział Infrastruktury i Środowiska")
# prepare year_from information
year_from = driver.find_element(By.NAME,"year_from")
year_start = 2022
year_from.send_keys(year_start)
# prepare year_to information
year_to = driver.find_element(By.NAME,"year_to")
year_end = ""
if year_end != "":
year_to.send_keys(year_end)
# execute a form with parameters
form_search = driver.find_element(By.NAME,"form_search")
form_search.send_keys(Keys.RETURN)
time.sleep(1)
# obtain a list of publications as a list
list_of_pub = driver.find_elements(By.XPATH, "//tbody/tr/td/a[@class='apisnb_book']")
list_of_publications = []
for n in range(len(list_of_pub)):
driver.execute_script("window.scrollTo(0,document.body.scrollHeight);")
results = driver.find_elements(By.XPATH, "//tbody/tr/td/a[@class='apisnb_book']")
results[n].click()
time.sleep(0.5)
rows = driver.find_elements(By.XPATH, "//*[@class= 'thright']/tbody/tr")
publikacja = {}
for row in range(len(rows)):
linia = rows[row].text.split(':', 1)
if len(linia) != 1:
publikacja[linia[0]] = linia[1]
list_of_publications.append(publikacja)
close_button = driver.find_element(By.XPATH, "//input[@name='book_close']")
close_button.click()
time.sleep(1)
driver.quit()
import pandas as pd
df = pd.DataFrame(list_of_publications, columns=['Tytuł','Autorzy','Tytuł czasopisma',
'Rok publikacji','Wolumin','Zeszyt/Issue','Strony','URL','Identyfikator DOI'])
df.to_csv('publications.csv')
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