I’m trying to extract information from a website but keep running into problems with their security systems. Every time I try to access the site programmatically, it seems to detect that I’m not a real user and blocks my requests. The site appears to have some kind of system that can tell when someone is using automated tools instead of a regular browser. I’ve tried different approaches but nothing seems to work. The website keeps rejecting my attempts and I can’t get the data I need. Has anyone dealt with similar issues before? What are some effective methods to make automated requests look more natural and avoid getting flagged by these detection systems? I’m looking for practical solutions that actually work in real scenarios.
Had this same issue six months back on a research project. Fixed it by adding realistic delays between requests - not random sleeps, but actual human-like timing. People don’t click through pages every 2 seconds, right? Started using 3-8 second delays with some variation. Made a huge difference. Also rotated user agents occasionally (but not too often - that’s actually more suspicious). The real breakthrough? I was hammering requests way too fast with identical headers every time. Slowed down, randomized the timing and request patterns, and boom - blocking basically stopped. Sometimes you just gotta act more human.
That timing approach works, but there’s a much cleaner solution that handles this automatically.
Hit this same problem last year scraping competitor data. Anti-bot systems keep getting smarter, and manually tweaking delays and headers is just whack-a-mole.
What actually fixed it was setting up an automation workflow that manages browser sessions, cookies, and request patterns without coding all the evasion stuff myself. The workflow rotates sessions naturally, mimics realistic browsing, and handles captchas when they show up.
Instead of writing custom scripts that break every time they update detection, I use Latenode for robust data extraction flows. It handles browser automation seamlessly so I can focus on actually using the data.
Best part? When their anti-bot measures change, I just tweak workflow parameters instead of rewriting code. Way less of a headache than maintaining custom scraping scripts.
Check it out: https://latenode.com
Proxies saved me when I kept getting blocked. Got my IP completely banned from a site I needed for market research, so I switched to rotating residential proxies. Don’t use datacenter proxies - they get flagged instantly since they’re obviously not home connections. Residential ones cost more but route through real home internet, so the traffic looks legit. I also keep persistent sessions instead of making new connections every time. Cookie handling matters too - sites watch how sessions behave, and new sessions without cookie history scream bot. Been doing this for eight months with maybe 2-3% failures versus getting blocked in minutes before.
selenium with undetected-chromedriver saved my butt on this one tbh. regular selenium gets caught instantly but undetected version spoofs a lot of the detection signals automatically. just pip install undetected-chromedriver and swap it in - worked on like 90% of sites that were blocking me before