123dok Download 'link'er -

# Usage downloader = DokDownloader() documents = downloader.scrape_documents('https://www.123dok.com') filtered_documents = downloader.filter_documents(documents, 'pdf', 'business', 'english') downloader.batch_download([doc['url'] for doc in filtered_documents], 'pdf') This code structure demonstrates how you can create a basic 123dok downloader with batch downloading and filtering options. However, please note that web scraping should be done responsibly and in accordance with the website's terms of service. Additionally, you may need to handle errors, implement a more robust filtering system, and add a user interface to make the downloader more user-friendly.

def batch_download(self, document_urls, file_type): # Create a zip file and download multiple documents zip_file = zipfile.ZipFile('documents.zip', 'w') threads = [] for url in document_urls: thread = threading.Thread(target=self.download_document, args=(url, file_type)) threads.append(thread) thread.start() for thread in threads: thread.join() zip_file.close() 123dok downloader

def scrape_documents(self, url): # Scrape 123dok's website to retrieve document metadata and download links soup = BeautifulSoup(requests.get(url).content, 'html.parser') documents = soup.find_all('div', {'class': 'document'}) return documents # Usage downloader = DokDownloader() documents = downloader

class DokDownloader: def __init__(self): self.download_queue = [] 'html.parser') documents = soup.find_all('div'

def filter_documents(self, documents, file_type, category, language): # Filter documents by file type, category, and language filtered_documents = [] for document in documents: if document['file_type'] == file_type and document['category'] == category and document['language'] == language: filtered_documents.append(document) return filtered_documents