Add headers like Accept-Language and Referer to each request to make your scraper appear more human.

Store data in compressed formats like Parquet or Avro, which save space and load faster. Pandas and Dask in Python make working with large data easy.

Varying request timings is crucial. Anti-bot mechanisms often monitor request rates, so random delays between requests can help avoid being flagged.

I’ve also written scripts that detect the ‘load more’ button, which some sites use instead of infinite scrolling. Simulating clicks on this button in a loop allows you to retrieve all content without scrolling.

Reduce redundancy in your scraping logic. Sometimes, caching responses or reusing selectors prevents extra processing, making the code leaner and faster.

TypeScript has better tooling support and is more widely used than Flow, making it the preferred option for most large-scale JavaScript projects.