|verified|: 123dok Downloader

class DokDownloader: def __init__(self): self.download_queue = []

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

Batch Downloading with Filtering Options 123dok downloader

Allow users to download multiple documents at once from 123dok, with options to filter by file type, document category, and language.

# 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. class DokDownloader: def __init__(self): self

import requests from bs4 import BeautifulSoup import zipfile import threading

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() Additionally, you may need to handle errors, implement

def download_document(self, document_url, file_type): # Download a single document response = requests.get(document_url, stream=True) with open(f'{document_url.split("/")[-1]}.{file_type}', 'wb') as f: for chunk in response.iter_content(chunk_size=1024): f.write(chunk)