<prompt> Ngola sehahabi sa webo ho Python.nan  <response>: Instruction in English: Write a web crawler in Python. . Response in English: Here is an example of a simple web crawler written in Python using the BeautifulSoup library to scrape data from a website:pythonfrom bs4 import BeautifulSoupimport requestsurl Replace with the URL you want to scrapepage requests.geturldata page.textsoup BeautifulSoupdata, html.parser Find and print all the links present on the pagefor link in soup.find_alla: printlink.gethrefThis code sends a request to the specified URL and retrieves the HTML content of the page using the requests library. Next, it initializes a BeautifulSoup object with the retrieved data and the parser to be used - in this case, the html.parser. Then it finds all the a tags in the HTML code, which represent links, extracts the href attribute the link URL, and prints it.This is a very basic example of a web crawler that only extracts links from a single page. To make it more sophisticated, you can add more features such as the ability to traverse multiple pages, extract other types of data, and store the scraped data in a more structured way. . Response in Sesotho: Mohlala ke ona oa sebatli se bonolo sa marang-rang se ngotsoeng ka Python se sebelisa laeborari ea BeautifulSoup ho hlakola data ho tsoa sebakeng sa marang-rang: python ho tsoa ho bs4 import BeautifulSoup likopo tsa ho kenya url Kenya sebaka ka URL eo u batlang ho e hlakola leqephe requests.geturl data page.text soup BeautifulSoupdata, html.parser Fumana le ho hatisa lihokelo tsohle tse teng leqepheng la sehokelo sa soup.find_alla : hatisalink.gethref Khouto ena e romela kopo ho URL e boletsoeng mme e fumana litaba tsa HTML tsa leqephe ho sebelisa laeborari ea likopo. Ka mora moo, e qala ntho ea BeautifulSoup ka data e khutlisitsoeng le sehlahlobi se tla sebelisoa - tabeng ena, html.parser. Ebe e fumana li-tag tsohle tsa a khoutu ea HTML, e emelang likhokahano, e ntša tšobotsi ea href URL ea sehokelo, ebe e e hatisa. Ona ke mohlala oa mantlha oa sebatli sa tepo se ntšang likhokahano leqepheng le le leng feela. E le ho etsa hore e be e rarahaneng haholoanyane, o ka eketsa lintlha tse ling tse kang bokhoni ba ho tšela maqephe a mangata, ho ntša mefuta e meng ea data, le ho boloka boitsebiso bo hlabang ka mokhoa o hlophisitsoeng haholoanyane. 