Efficient techniques for web scraping in Python for large datasets include using asynchronous requests with libraries like aiohttp to speed up data retrieval, employing parallel processing with concurrent.futures or multiprocessing to handle multiple tasks simultaneously, and optimizing data storage with databases like SQLite or PostgreSQL to manage and query large volumes of data eff... https://www.planethive.ai/services/expert-web-scraping