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	`1`	`+from selenium import webdriver`
	`2`	`+`
	`3`	`+from selenium.webdriver.common.by import By`
	`4`	`+from webdriver_manager.chrome import ChromeDriverManager`
	`5`	`+import pandas as pd`
	`6`	`+`
	`7`	`+browser = webdriver.Chrome(ChromeDriverManager().install())`
	`8`	`+browser.get('https://www.bnr.ro/files/xml/nbrfxrates2021.html')`
	`9`	`+`
	`10`	`+table = browser.find_element(by=By.XPATH, value='//*[@id="Data_table"]')`
	`11`	`+lista = table.text.splin('\n')`
	`12`	`+print(table.txt)`
	`13`	`+header_len = browser.find_element(by=By.XPATH, value='//*[@id="Data_table"]/table/thead/tr')`
	`14`	`+header = header_len.text.split('\n')`
	`15`	`+# print(header)`
	`16`	`+dictionar = {i: [] for i in header}`
	`17`	`+for j in range(0, len(header)):`
	`18`	`+ for i in range(len(header) + int(j), len(lista), len(header)):`
	`19`	`+ print(lista[i])`
	`20`	`+ dictionar[header[int(j)]].append(lista[i])`
	`21`	`+df = pd.DataFrame(dictionar)`
	`22`	`+df.to_csv('BNR_ALL_DATA.xls.xls')`
	`23`	`+browser.close()`

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	`1`	`+import time`
	`2`	`+`
	`3`	`+from selenium import webdriver`
	`4`	`+from selenium.webdriver.common.by import By`
	`5`	`+from webdriver_manager.chrome import ChromeDriverManager`
	`6`	`+`
	`7`	`+browser = webdriver.Chrome(ChromeDriverManager().install())`
	`8`	`+browser.get('https://www.emag.ro/#opensearch')`
	`9`	`+get_element = browser.find_element(by=By.ID, value='searchboxTrigger')`
	`10`	`+get_element.send_keys('laptop')`
	`11`	`+get_element.submit()`
	`12`	`+time.sleep(20)`
	`13`	`+browser.close()`

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