Download in Bulk While You Respect Server Rate Limits

Hammer a website with hundreds of simultaneous requests and two things happen: the server starts refusing you, and you look like an attack. Learning to respect server rate limits is partly courtesy and partly self-interest, because a throttled or blocked connection finishes slower than a polite one. The controls to do it are simple once you know where they live.

Why pacing beats brute force

A server under sudden load returns errors, slows responses, or blocks the client outright. When that happens your batch stalls and you spend the afternoon retrying. Choosing to respect server rate limits keeps requests flowing at a pace the host tolerates, so the run completes in one steady pass instead of a series of failed bursts. Slower per request often means faster overall.

Add a request delay when scraping URL lists

When you scrape a list of page URLs, the request delay setting spaces out how quickly the tool moves from one page to the next. A short pause between requests is the single most effective way to respect server rate limits during scraping. Combine it with the max-URL cap so a single task does not fire off more requests than a site will tolerate in one sitting.

• Set a request delay to space scraping requests.
• Use the max-URL cap to keep tasks a reasonable size.
• Split very large jobs into several smaller tasks.

A pause of even a second or two between requests is usually invisible to your overall timeline but makes a real difference to the server on the other end, especially on smaller sites that lack the capacity of a major host.

Tune concurrency for downloads

Parallel downloads control how many files transfer at once. The guidance is to start at 5-10 and increase gradually rather than maxing it out. If a site starts blocking or erroring, reduce concurrency, which is a direct way to ease the load on the download side. For large sets, enable ZIP mode alongside higher concurrency to avoid browser crashes while keeping the request pattern manageable.

Queue instead of flooding

Queued Downloads run pending tasks sequentially when toggled on, so instead of every task launching at once, they process in an orderly line. This naturally smooths your request pattern across a big workload. If you need downloads at off-peak times, Scheduling watches saved per-task times, with the alarm firing roughly every 30 seconds, and runs them later, which is a considerate way to spread load across hours rather than dumping it all at once. Switching between the two modes will not double-execute a task, so you can move from queued to scheduled without worrying about duplicate runs.

A routine to respect server rate limits

1. Add a request delay and a max-URL cap when scraping.
2. Start concurrency at 5-10 and raise it slowly.
3. Use ZIP mode for large batches to stay stable.
4. Queue or schedule tasks so requests do not flood the host.

All of this runs locally in your browser, so the only traffic is the requests you choose to send. To download at scale and still respect server rate limits, install Bulk Image Downloader From URL List and let its delay, concurrency, and queue controls keep your runs polite.